<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "http://dtd.nlm.nih.gov/publishing/2.0/journalpublishing.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v9i1e40782</article-id>
      <article-id pub-id-type="pmid">36961497</article-id>
      <article-id pub-id-type="doi">10.2196/40782</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Trends in Exposure to Secondhand Smoke Among Adolescents in China From 2013-2014 to 2019: Two Repeated National Cross-sectional Surveys</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Sanchez</surname>
            <given-names>Travis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ashley</surname>
            <given-names>David</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>KaradoĞan</surname>
            <given-names>Dilek</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Wu</surname>
            <given-names>Xiaoyan</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Chen</surname>
            <given-names>Yajun</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Ma</surname>
            <given-names>Chuanwei</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1743-8474</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Huang</surname>
            <given-names>Yayang</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1722-3908</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Li</surname>
            <given-names>Sixuan</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8657-6542</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Zhao</surname>
            <given-names>Min</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1164-8016</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Zeng</surname>
            <given-names>Xinying</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0963-5155</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Di</surname>
            <given-names>Xinbo</given-names>
          </name>
          <degrees>BA</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0028-7761</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Magnussen</surname>
            <given-names>Costan G</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff7" ref-type="aff">7</xref>
          <xref rid="aff8" ref-type="aff">8</xref>
          <xref rid="aff9" ref-type="aff">9</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6238-5730</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Xi</surname>
            <given-names>Bo</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0491-5585</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Liu</surname>
            <given-names>Shiwei</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <address>
            <institution>Tobacco Control Office</institution>
            <institution>Chinese Center for Disease Control and Prevention</institution>
            <addr-line>27 Nanwei Road</addr-line>
            <addr-line>Beijing, 100050</addr-line>
            <country>China</country>
            <phone>86 1063185150</phone>
            <email>shiwei_liu@aliyun.com</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5013-3536</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Epidemiology, School of Public Health</institution>
        <institution>Qilu Hospital, Cheeloo College of Medicine</institution>
        <institution>Shandong University</institution>
        <addr-line>Jinan</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Health Education Institute</institution>
        <institution>Beijing Center for Disease Prevention and Control</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Institute of Child and Adolescent Health</institution>
        <institution>School of Public Health</institution>
        <institution>Peking University</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Chronic and Noncommunicable Disease Control and Prevention</institution>
        <institution>Ningbo Municipal Center for Disease Control and Prevention</institution>
        <addr-line>Ningbo</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Tobacco Control Office</institution>
        <institution>Chinese Center for Disease Control and Prevention</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Department of Nutrition and Food Hygiene</institution>
        <institution>School of Public Health, Cheeloo College of Medicine</institution>
        <institution>Shandong University</institution>
        <addr-line>Jinan</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff7">
        <label>7</label>
        <institution>Baker Heart and Diabetes Institute</institution>
        <addr-line>Victoria</addr-line>
        <country>Australia</country>
      </aff>
      <aff id="aff8">
        <label>8</label>
        <institution>Research Centre of Applied and Preventive Cardiovascular Medicine</institution>
        <institution>University of Turku</institution>
        <addr-line>Turku</addr-line>
        <country>Finland</country>
      </aff>
      <aff id="aff9">
        <label>9</label>
        <institution>Centre for Population Health Research</institution>
        <institution>University of Turku and Turku University Hospital</institution>
        <addr-line>Turku</addr-line>
        <country>Finland</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Shiwei Liu <email>shiwei_liu@aliyun.com</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>24</day>
        <month>3</month>
        <year>2023</year>
      </pub-date>
      <volume>9</volume>
      <elocation-id>e40782</elocation-id>
      <history>
        <date date-type="received">
          <day>5</day>
          <month>7</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>9</day>
          <month>1</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>11</day>
          <month>2</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>14</day>
          <month>2</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Chuanwei Ma, Yayang Huang, Sixuan Li, Min Zhao, Xinying Zeng, Xinbo Di, Costan G Magnussen, Bo Xi, Shiwei Liu. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 24.03.2023.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2023/1/e40782" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>It is well-known that secondhand smoke exposure in childhood or adolescence is positively associated with morbidity and mortality. However, less is known about the current status of and most recent trends in secondhand smoke exposure among adolescents in China.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>We aimed to assess recent changes in the prevalence of secondhand smoke exposure among adolescents in China using nationally representative data.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>We used data from 2 repeated national cross-sectional surveys conducted in 2013-2014 and 2019. A total of 155,117 students (median age 13.5 years) in 2013-2014 and 147,270 students (median age 13.1 years) in 2019 were included in this study. Sociodemographic factors and secondhand smoke exposure information were collected via a standardized questionnaire. Exposure was defined as secondhand smoke exposure ≥1 day during the past 7 days at home or in public places. Other frequencies of secondhand smoke exposure (ie, ≥3 days, ≥5 days, and every day) during the past 7 days were also assessed. The weighted prevalence of secondhand smoke exposure was calculated according to the complex sample design for surveys.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>The prevalence of secondhand smoke exposure in any place (home or public places ≥1 day during the past 7 days) decreased from 2013-2014 (72.9%, 95% CI 71.5%-74.3%) to 2019 (63.2%, 95% CI 62%-64.5%), as did exposure at home (2013-2014: 44.4%, 95% CI 43.1%-45.7%; 2019: 34.1%, 95% CI 33.1%-35.2%) and in public places (2013-2014: 68.3%, 95% CI 66.9%-69.6%; 2019: 57.3%, 95% CI 56%-58.6%). The prevalence of secondhand smoke exposure decreased with increased gross domestic product per capita in each of the 2 survey years irrespective of exposure frequency or location. The prevalence of exposure at other frequencies (ie, ≥3 days, ≥5 days, or every day during the past 7 days) also decreased in any place, at home, and in public places. Secondhand smoke exposure was associated with higher school grade level (ninth vs seventh grade: odds ratio [OR] 1.76, 95% CI 1.68-1.84), gender (boys vs girls: OR 1.18, 95% CI 1.15-1.22), urban status (urban vs rural: OR 1.10, 95% CI 1.01-1.19), and cigarette smoking (yes vs no: OR 6.67, 95% CI 5.83-7.62).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Although the prevalence of secondhand smoke exposure among Chinese adolescents declined from 2013-2014 to 2019, it remains unacceptably high. More effective strategies and stronger action are needed in China to further, and dramatically, curb secondhand smoke exposure among adolescents.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>secondhand smoke exposure</kwd>
        <kwd>trends</kwd>
        <kwd>adolescents</kwd>
        <kwd>China</kwd>
        <kwd>secondhand smoke</kwd>
        <kwd>youth</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>Tobacco products, especially combustible ones, are harmful not only to users’ health but also the health of nonsmokers who are exposed to secondhand smoke [<xref ref-type="bibr" rid="ref1">1</xref>]. The World Health Organization (WHO) reports that exposure to secondhand smoke leads to 1.2 million deaths annually [<xref ref-type="bibr" rid="ref2">2</xref>]. There is no safe or risk-free level of secondhand smoke exposure for children and adolescents [<xref ref-type="bibr" rid="ref3">3</xref>], and more than 65,000 children die each year from diseases related to secondhand smoke exposure [<xref ref-type="bibr" rid="ref2">2</xref>]. Secondhand smoke exposure occurs in various environments (at home or in any public place) and causes short-term damage in childhood (eg, slowed lung growth, worsened asthma, respiratory infections, and sudden infant death syndrome) [<xref ref-type="bibr" rid="ref1">1</xref>], a long-term burden of cardiovascular disease [<xref ref-type="bibr" rid="ref4">4</xref>], and mortality in adulthood [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
        <p>China has the largest number of tobacco consumers in the world. Although the prevalence of current tobacco smoking decreased from 1990 to 2019 (males: –18.2%; females: –20.9%) among individuals aged 15 years or older in China, the prevalence of current tobacco smoking remained high in 2019 (males: 49.7%; females: 3.54%) [<xref ref-type="bibr" rid="ref6">6</xref>]. Secondhand smoke exposure remains a serious public health concern in China despite evidence that has suggested the prevalence of secondhand smoke exposure in the workplace declined from 55.2% in 2010 to 45.3% in 2015 among Chinese nonsmokers aged 16 to 60 years [<xref ref-type="bibr" rid="ref7">7</xref>]. In addition, national data from 2013 to 2016 showed that 41.7% (95% CI 40.9%-42.3%) of Chinese youth aged 6 to 17 years were exposed to secondhand smoke at home ≥1 day during the past 7 days [<xref ref-type="bibr" rid="ref8">8</xref>]. This prevalence of secondhand smoke exposure among Chinese adolescents was higher than the global average level (72.9% vs 62.9%, respectively) [<xref ref-type="bibr" rid="ref9">9</xref>].</p>
        <p>Although considerable work on tobacco control has been undertaken in China in recent years, including the protection of teenagers from secondhand smoke exposure [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>], there are no contemporary data on the prevalence of secondhand smoke exposure among adolescents in this country. Moreover, most previous studies only reported the prevalence of secondhand smoke exposure at home and public places in general [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>]; no studies were able to precisely categorize the types of public places where exposure occurs. Such data are needed to monitor and guide effective interventions to protect adolescents from secondhand smoke exposure.</p>
      </sec>
      <sec>
        <title>Objectives</title>
        <p>Using repeated nationally representative data, we aimed to assess trends in the prevalence of secondhand smoke exposure between 2013-2014 and 2019 according to different locations (at home, in closed public places, in open public places, and on public transportation).</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Participants</title>
        <p>We used repeated cross-sectional data on secondhand smoke exposure collected from the Global Youth Tobacco Survey (GYTS)-China, which was a part of the GYTS conducted in China from October 1, 2013, to April 1, 2014, and the China National Youth Tobacco Survey (NYTS), conducted from May 1, 2019, to December 31, 2019. Each of these 2 national surveys was a national, representative, school-based, cross-sectional survey administered to middle school students. Both surveys used similar sampling, questionnaires, and survey methodologies and covered 31 provinces, autonomous regions, and municipalities (hereafter referred to as “provinces”) in China. Both surveys used the same 3-stage stratified cluster random sampling strategy. In the first stage, surveillance points were randomly selected from each province, stratified by urban-rural area by probability proportional to size sampling proportional to population size, to be nationally representative, with a total of 336 surveillance points in 2013-2014 and 347 surveillance points in 2019. In the second stage, 3 middle schools were randomly selected at each surveillance point. In the third stage, 1 class was randomly selected from each grade of the selected school. All students in the selected class were eligible to participate. The median age of the study population was 13.5 years in 2013-2014 and 13.1 years in 2019.</p>
      </sec>
      <sec>
        <title>Definition of Secondhand Smoke Exposure</title>
        <p>Exposure to secondhand smoke at home was assessed with the question “During the past 7 days, on how many days have people smoked in your presence, in your home?”; exposure in closed public places was assessed with the question “During the past 7 days, on how many days have people smoked in your presence in closed public places other than in your home (such as school buildings, conference halls, gymnasiums, bars, shops, restaurants, shopping malls, movie theaters, etc.)?”; exposure in open public places was assessed with the question “During the past 7 days, on how many days have people smoked in your presence in open public places (such as playgrounds, sidewalks, entrances to buildings, parks, bus stops, parks, etc.)?”; exposure on public transportation was assessed with the question “During the past 7 days, on how many days have people smoked in your presence in any public transportation vehicles (such as trains, buses, or taxicabs, etc.)?” In addition to reporting on secondhand smoke exposure in the individual public places mentioned above, we also unified heterogeneous information by combining exposure that was reported in closed public places, in open public places, and on public transportation together as one variable: “public places.” Moreover, we also combined exposure at home and public places as “any place.” Exposure to secondhand smoke at any location (ie, at home, in closed public places, in open public places, on public transportation, in any public place, or in any place) was defined as exposure to secondhand smoke on ≥1 day during the past 7 days. We also assessed different frequencies (≥3 days, ≥5 days, and every day during the past 7 days) of secondhand smoke exposure based on the students’ responses. To ensure each participant understood that the question was asked about secondhand smoke from others, rather than from themselves, each question was explained by the trained investigators beforehand.</p>
        <p>Cigarette smoking was defined as smoking on ≥1 day during the past 30 days with the question “During the past 30 days, on how many days did you smoke cigarettes?” [<xref ref-type="bibr" rid="ref14">14</xref>]. Exposure to secondhand smoke in schools was assessed with the question “During the past 30 days, did you see anyone smoke inside the school building or outside on school property?” Attitude on the hazards of secondhand smoke exposure was assessed with the question “Do you think the smoke from other people’s cigarettes smoking is harmful to you?” with the corresponding answers “Definitely not, probably not, probably yes, and definitely yes.” Participants were classified into groups based on whether the gross domestic product (GDP) per capita of their province was low, middle, or high. For 2013-2014 (when the exchange rate was US $1=RMB 6.08), the GDP categories were RMB &#60;35,000, RMB 35,000 to 50,000, and RMB &#62;50,000, respectively. For 2019 (when the exchange rate was US $1=RMB 6.98), the categories were RMB &#60;50,000, RMB 50,000 to 70,000, and RMB &#62;70,000, respectively. Further details of the GDP per capita in 2013 and 2019 in China are available online [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>].</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>Both surveys (2013-2014 and 2019) were approved by the National Health Commission, and the proposal and protocols were reviewed by the Institutional Review Board of the Chinese Center for Disease Control and Prevention (202008). All participating students gave oral informed consent. Our study did not contain any identifiable information from individual participants.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>The national, regional, and subgroup (by sex, residence, GDP per capita category, and cigarette smoking status) prevalence with the 95% CI of secondhand smoke exposure in 2013-2014 and 2019 among adolescents was calculated with consideration of sampling weights, strata, and primary sampling units from each survey. The absolute change rate with 95% CI in the prevalence of secondhand smoke exposure was calculated as the prevalence in 2013-2014 subtracted from the prevalence in 2019. The chi-square trend test was used to compare differences in prevalence by school grade, sex, residence, region, GDP per capita category, and cigarette smoking status between 2013-2014 and 2019. Multivariable logistic regression models were used to assess the association between secondhand smoke exposure and its potential influencing factors (school grade, sex, residence, region, GDP per capita category, and cigarette smoking status). All analyses were conducted using SAS (SAS Institute). Two-sided <italic>P</italic> values &#60;.05 were considered statistically significant.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Participant Characteristics</title>
        <p><xref ref-type="table" rid="table1">Table 1</xref> presents the demographic data from the 2 national surveys conducted in 2013-2014 and 2019. In 2019, the proportions of adolescents who were in a higher school grade (ninth grade), resided in a rural region, and were current cigarette users were somewhat lower than in 2013-2014. Data from 155,117 adolescents (boys: n=82,057, 52.9%) in the 2013-2014 survey and 147,270 adolescents (boys: n=78,789, 53.5%) in the 2019 survey were included in this study.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Demographics of 2 national surveys conducted in 2013-2014 (n=155,117) and 2019 (n=147,270).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="200"/>
            <col width="0"/>
            <col width="220"/>
            <col width="0"/>
            <col width="160"/>
            <col width="0"/>
            <col width="220"/>
            <col width="0"/>
            <col width="170"/>
            <thead>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="2">Prevalence in 2013-2014, %</td>
                <td colspan="2">95% CI</td>
                <td colspan="2">Prevalence in 2019, %</td>
                <td>95% CI</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="10">
                  <bold>Grade</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh</td>
                <td colspan="2">33.1</td>
                <td colspan="2">32.5-33.7</td>
                <td colspan="2">34.8</td>
                <td colspan="2">34.2-35.3</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth</td>
                <td colspan="2">33.3</td>
                <td colspan="2">32.9-33.7</td>
                <td colspan="2">33.5</td>
                <td colspan="2">33.1-33.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ninth</td>
                <td colspan="2">33.6</td>
                <td colspan="2">32.9-34.4</td>
                <td colspan="2">31.7</td>
                <td colspan="2">31.2-32.3</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Sex</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Boys</td>
                <td colspan="2">52.9</td>
                <td colspan="2">52.3-53.5</td>
                <td colspan="2">53.5</td>
                <td colspan="2">53.1-54</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Girls</td>
                <td colspan="2">47.1</td>
                <td colspan="2">46.5-47.7</td>
                <td colspan="2">46.5</td>
                <td colspan="2">46-46.9</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Residence</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban</td>
                <td colspan="2">27.9</td>
                <td colspan="2">26-29.8</td>
                <td colspan="2">36.3</td>
                <td colspan="2">34.1-38.5</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural</td>
                <td colspan="2">72.1</td>
                <td colspan="2">70.2-74</td>
                <td colspan="2">63.7</td>
                <td colspan="2">61.5-65.9</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Region</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td colspan="2">10.6</td>
                <td colspan="2">9.4-11.8</td>
                <td colspan="2">11.1</td>
                <td colspan="2">9.8-12.4</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td colspan="2">26.3</td>
                <td colspan="2">24.7-27.9</td>
                <td colspan="2">28.4</td>
                <td colspan="2">26.3-30.6</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central</td>
                <td colspan="2">17.1</td>
                <td colspan="2">15.8-18.4</td>
                <td colspan="2">18.3</td>
                <td colspan="2">15.9-20.6</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South</td>
                <td colspan="2">14.6</td>
                <td colspan="2">12.5-16.8</td>
                <td colspan="2">13.3</td>
                <td colspan="2">11.9-14.8</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td colspan="2">16.9</td>
                <td colspan="2">15.3-18.6</td>
                <td colspan="2">16</td>
                <td colspan="2">14.2-17.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td colspan="2">8.3</td>
                <td colspan="2">7.3-9.4</td>
                <td colspan="2">7.3</td>
                <td colspan="2">6.5-8.1</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td colspan="2">6.1</td>
                <td colspan="2">5.1-7.2</td>
                <td colspan="2">5.5</td>
                <td colspan="2">5-6.1</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Gross domestic product per capita category</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td colspan="2">27.5</td>
                <td colspan="2">25.5-29.5</td>
                <td colspan="2">27</td>
                <td colspan="2">25.1-28.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Middle</td>
                <td colspan="2">38.4</td>
                <td colspan="2">36.4-40.3</td>
                <td colspan="2">38.6</td>
                <td colspan="2">36.2-41.1</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High</td>
                <td colspan="2">34.2</td>
                <td colspan="2">32-36.3</td>
                <td colspan="2">34.4</td>
                <td colspan="2">32.1-36.6</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Cigarette smoking</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">94.1</td>
                <td colspan="2">93.5-94.6</td>
                <td colspan="2">96.1</td>
                <td colspan="2">95.6-96.6</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">5.9</td>
                <td colspan="2">5.4-6.5</td>
                <td colspan="2">3.9</td>
                <td colspan="2">3.4-4.4</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Trends in Prevalence of Secondhand Smoke Exposure</title>
        <p>The overall prevalence of secondhand smoke exposure in any place (on ≥1 day during the past 7 days) decreased from 2013-2014 (72.9%, 95% CI 71.5%-74.3%) to 2019 (63.2%, 95% CI 62%-64.5%), while the prevalence of secondhand smoke exposure at home decreased from 44.4% (95% CI 43.1%-45.7%) in 2013-2014 to 34.1% (95% CI 33.1%-35.2%) in 2019, as did secondhand smoke exposure in public places (2013-2014: 68.3%, 95% CI 66.9%-69.6%; 2019: 57.3%, 95% CI 56%-58.6%), as shown in <xref ref-type="table" rid="table2">Tables 2</xref>, <xref ref-type="table" rid="table3">3</xref>, and <xref ref-type="table" rid="table4">4</xref>. The prevalence was high in any place, in public places, and at home across all 31 provinces, with the prevalence of secondhand smoke exposure in public places higher compared to exposure at home in each province in both 2013-2014 and 2019 (<xref rid="figure1" ref-type="fig">Figure 1</xref> and <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>, Tables S1-S4). The prevalence exceeded 60% in 2019 in 25 of 31 provinces. The 5 provinces where the prevalence was much higher than other provinces were Yunnan (75.1%, 95% CI 66.2%-84%), Hunan (73.6%, 95% CI 68.9%-78.3%), Beijing (73.2%, 95% CI 69.5%-76.9%), Shanghai (72.5%, 95% CI 62.5%-82.5%), and Gansu (70.2%, 95% CI 62.5%-78%). The prevalence of secondhand smoke exposure also decreased according to different exposure frequencies and locations. For example, there was a downward trend in daily exposure in any place (from 31%, 95% CI 29.9%-32.1% in 2013-2014 to 24.7%, 95% CI 23.8%-25.7% in 2019), at home (from 14.2%, 95% CI 13.6%-14.8% in 2013-2014 to 12.4%, 95% CI 11.8%-13% in 2019), and in public places (from 25.1%, 95% CI 24.2%-26% in 2013-2014 to 18.7%, 95% CI 17.8%-19.5% in 2019), as shown in <xref ref-type="table" rid="table2">Tables 2</xref>, <xref ref-type="table" rid="table3">3</xref>, and <xref ref-type="table" rid="table4">4</xref> and <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>, Table S5.</p>
        <p>The prevalence of secondhand smoke exposure increased as school grade increased regardless of exposure frequency (≥1 day, ≥3 days, ≥5 days, or 7 days during the past 7 days), location (any place, home, or public place), and survey year (2013-2014 or 2019). The prevalence of secondhand smoke exposure decreased as GDP per capita category increased irrespective of exposure frequency, location, or survey year (<xref ref-type="table" rid="table2">Tables 2</xref>, <xref ref-type="table" rid="table3">3</xref>, and <xref ref-type="table" rid="table4">4</xref> and <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>, Table S5). The prevalence of exposure was higher among boys (vs girls), current cigarette smokers (vs nonsmokers), and adolescents who lived in an urban region (vs rural region, except for secondhand smoke exposure at home). A higher prevalence of secondhand smoke exposure was observed in the northwest, south, and southwest regions, with lower exposure in the east and northeast regions (<xref ref-type="table" rid="table2">Tables 2</xref>, <xref ref-type="table" rid="table3">3</xref>, and <xref ref-type="table" rid="table4">4</xref>). A downward trend in the prevalence of secondhand smoke exposure in any type of public place (closed public places, open public places, and public transportation) and in schools on ≥1 day during the past 7 days was also observed (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>, Tables S6-S7 and Figure S1).</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Trends in the prevalence of secondhand smoke exposure in any place (on ≥1 day during the past 7 days) by age, sex, residence, region, gross domestic product per capita category, and status of cigarette smoking among Chinese adolescents from 2013-2014 to 2019.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="130"/>
            <col width="140"/>
            <col width="140"/>
            <col width="140"/>
            <col width="140"/>
            <col width="140"/>
            <col width="140"/>
            <thead>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Prevalence in 2013-2014, %</td>
                <td>95% CI</td>
                <td>Prevalence in 2019, %</td>
                <td>95% CI</td>
                <td>Absolute change in prevalence, %</td>
                <td>95% CI</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Overall</td>
                <td>72.9</td>
                <td>71.5 to 74.3</td>
                <td>63.2</td>
                <td>62 to 64.5</td>
                <td>–9.8</td>
                <td>–11.8 to –8.1</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Grade</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh</td>
                <td>65.7</td>
                <td>64 to 67.3</td>
                <td>55.8</td>
                <td>54 to 57.6</td>
                <td>–10</td>
                <td>–12.6 to –7.7</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth</td>
                <td>74.3</td>
                <td>73.5 to 76.2</td>
                <td>66.1</td>
                <td>64.5 to 67.6</td>
                <td>–8.3</td>
                <td>–10.9 to –6.2</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ninth</td>
                <td>78.7</td>
                <td>77.5 to 79.9</td>
                <td>68.5</td>
                <td>67.2 to 69.7</td>
                <td>–10.3</td>
                <td>–12.1 to –8.7</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Sex</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Boys</td>
                <td>75.5</td>
                <td>74.4 to 77</td>
                <td>65.4</td>
                <td>64 to 66.7</td>
                <td>–10.4</td>
                <td>–12.3 to –8.7</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Girls</td>
                <td>69.9</td>
                <td>68.3 to 71.4</td>
                <td>60.8</td>
                <td>59.4 to 62.2</td>
                <td>–9.2</td>
                <td>–11.3 to –7.2</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Residence</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban</td>
                <td>74.4</td>
                <td>73.3 to 75.6</td>
                <td>63.5</td>
                <td>61.7 to 65.3</td>
                <td>–11</td>
                <td>–13.3 to –8.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural</td>
                <td>72.4</td>
                <td>70.5 to 74.2</td>
                <td>63.1</td>
                <td>61.4 to 64.8</td>
                <td>–9.4</td>
                <td>–12 to –7</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Region</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td>73.1</td>
                <td>70.3 to 75.9</td>
                <td>63</td>
                <td>58.8 to 67.3</td>
                <td>–10.1</td>
                <td>–15.2 to –4.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td>68.9</td>
                <td>66.8 to 71</td>
                <td>59.9</td>
                <td>57 to 62.9</td>
                <td>–9</td>
                <td>–12.6 to –5.4</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central</td>
                <td>75.9</td>
                <td>73.9 to 78</td>
                <td>64</td>
                <td>61.5 to 66.4</td>
                <td>–12</td>
                <td>–15.2 to –8.8</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South</td>
                <td>67.8</td>
                <td>61.8 to 73.8</td>
                <td>66.3</td>
                <td>63.1 to 69.4</td>
                <td>–1.7</td>
                <td>–8.6 to 5.3</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td>77.5</td>
                <td>75.1 to 79.8</td>
                <td>65.2</td>
                <td>62.1 to 68.2</td>
                <td>–12.5</td>
                <td>–16.4 to –8.5</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td>78.9</td>
                <td>75.4 to 82.3</td>
                <td>66.3</td>
                <td>63.1 to 69.5</td>
                <td>–12.6</td>
                <td>–17.3 to –7.8</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td>75.7</td>
                <td>73.8 to 77.6</td>
                <td>61.2</td>
                <td>57.8 to 64.7</td>
                <td>–14.5</td>
                <td>–18.5 to –10.5</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Gross domestic product per capita category</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td>75.4</td>
                <td>73.4 to 77.4</td>
                <td>65.4</td>
                <td>62.6 to 68.1</td>
                <td>–10.1</td>
                <td>–13.6 to –6.7</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Middle</td>
                <td>75</td>
                <td>73.4 to 76.6</td>
                <td>64</td>
                <td>62.3 to 65.7</td>
                <td>–11.1</td>
                <td>–13.5 to –8.8</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High</td>
                <td>69</td>
                <td>66.2 to 71.9</td>
                <td>60.7</td>
                <td>58.4 to 63.1</td>
                <td>–8.3</td>
                <td>–12 to –4.6</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Current cigarette smoking</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>71.5</td>
                <td>70.1 to 72.9</td>
                <td>61.9</td>
                <td>60.6 to 63.3</td>
                <td>–9.6</td>
                <td>–11.1 to –8.1</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>94.1</td>
                <td>93.3 to 95</td>
                <td>93.8</td>
                <td>92.6 to 95</td>
                <td>–0.5</td>
                <td>–2 to 1.1</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Trends in the prevalence of secondhand smoke exposure at home (on ≥1 day during the past 7 days) by age, sex, residence, region, gross domestic product per capita category, and status of cigarette smoking in Chinese adolescents from 2013-2014 to 2019.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="130"/>
            <col width="140"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <thead>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Prevalence in 2013-2014, %</td>
                <td colspan="2">95% CI</td>
                <td colspan="2">Prevalence in 2019, %</td>
                <td colspan="2">95% CI</td>
                <td colspan="2">Absolute change in prevalence, %</td>
                <td>95% CI</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Overall</td>
                <td>44.4</td>
                <td colspan="2">43.1 to 45.7</td>
                <td colspan="2">34.1</td>
                <td colspan="2">33.1 to 35.2</td>
                <td colspan="2">–10.4</td>
                <td>–12 to –8.7</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Grade</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh</td>
                <td>39.6</td>
                <td>38.2 to 40.9</td>
                <td colspan="2">30.5</td>
                <td colspan="2">29.3 to 31.8</td>
                <td colspan="2">–9.1</td>
                <td colspan="2">–11 to –7.3</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth</td>
                <td>46.1</td>
                <td>44.4 to 47.7</td>
                <td colspan="2">36</td>
                <td colspan="2">34.7 to 37.3</td>
                <td colspan="2">–10.1</td>
                <td colspan="2">–12.1 to –8.1</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ninth</td>
                <td>47.5</td>
                <td>46.2 to 48.9</td>
                <td colspan="2">36.1</td>
                <td colspan="2">34.9 to 37.3</td>
                <td colspan="2">–11.5</td>
                <td colspan="2">–13.4 to –9.8</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Sex</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Boys</td>
                <td>46.4</td>
                <td>45.1 to 47.8</td>
                <td colspan="2">36</td>
                <td colspan="2">34.8 to 37.1</td>
                <td colspan="2">–10.5</td>
                <td colspan="2">–12.3 to –8.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Girls</td>
                <td>42.1</td>
                <td>40.8 to 43.5</td>
                <td colspan="2">32</td>
                <td colspan="2">30.9 to 33.2</td>
                <td colspan="2">–10.2</td>
                <td colspan="2">–12 to –8.4</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Residence</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban</td>
                <td>43.5</td>
                <td>42.1 to 44.8</td>
                <td colspan="2">33.2</td>
                <td colspan="2">31.8 to 34.6</td>
                <td colspan="2">–10.3</td>
                <td colspan="2">–12.3 to –8.3</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural</td>
                <td>44.8</td>
                <td>43.1 to 46.5</td>
                <td colspan="2">34.6</td>
                <td colspan="2">33.2 to 36.1</td>
                <td colspan="2">–10.2</td>
                <td colspan="2">–12.5 to –8</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Region</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td>46</td>
                <td>42.6 to 49.4</td>
                <td colspan="2">35.6</td>
                <td colspan="2">32.1 to 39.2</td>
                <td colspan="2">–10.4</td>
                <td colspan="2">–15.3 to –5.4</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td>39.6</td>
                <td>37.7 to 41.6</td>
                <td colspan="2">31.6</td>
                <td colspan="2">30 to 33.2</td>
                <td colspan="2">–8</td>
                <td colspan="2">–10.6 to –5.5</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central</td>
                <td>45.8</td>
                <td>43.7 to 48</td>
                <td colspan="2">33.7</td>
                <td colspan="2">31.5 to 35.9</td>
                <td colspan="2">–12.1</td>
                <td colspan="2">–15.3 to –9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South</td>
                <td>40.2</td>
                <td>34.9 to 45.5</td>
                <td colspan="2">38</td>
                <td colspan="2">34.1 to 42</td>
                <td colspan="2">–2.2</td>
                <td colspan="2">–8.9 to –4.6</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td>50.5</td>
                <td>47.7 to 53.2</td>
                <td colspan="2">35.7</td>
                <td colspan="2">32.7 to 38.7</td>
                <td colspan="2">–14.8</td>
                <td colspan="2">–19 to –10.7</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td>48.9</td>
                <td>45.7 to 52.1</td>
                <td colspan="2">33.1</td>
                <td colspan="2">29.8 to 36.4</td>
                <td colspan="2">–15.7</td>
                <td colspan="2">–20.4 to –11.1</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td>46.9</td>
                <td>44.6 to 49.2</td>
                <td colspan="2">32.9</td>
                <td colspan="2">30.8 to 35</td>
                <td colspan="2">–14</td>
                <td colspan="2">–17.2 to –10.8</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Gross domestic product per capita category</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td>48.9</td>
                <td>46.9 to 50.9</td>
                <td colspan="2">37</td>
                <td colspan="2">34.4 to 39.5</td>
                <td colspan="2">–11.9</td>
                <td colspan="2">–15.2 to –8.6</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Middle</td>
                <td>44.7</td>
                <td>42.9 to 46.4</td>
                <td colspan="2">33.7</td>
                <td colspan="2">32.2 to 35.2</td>
                <td colspan="2">–11</td>
                <td colspan="2">–13.3 to –8.7</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High</td>
                <td>40.8</td>
                <td>38.2 to 43.3</td>
                <td colspan="2">32.4</td>
                <td colspan="2">30.8 to 34</td>
                <td colspan="2">–8.4</td>
                <td colspan="2">–11.4 to –5.4</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Current cigarette smoking</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>42.8</td>
                <td>41.5 to 44</td>
                <td colspan="2">32.7</td>
                <td colspan="2">31.7 to 33.7</td>
                <td colspan="2">–10.1</td>
                <td colspan="2">–11.7 to –8.5</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>68.2</td>
                <td>66.6 to 69.7</td>
                <td colspan="2">66.3</td>
                <td colspan="2">64.1 to 68.4</td>
                <td colspan="2">–1.9</td>
                <td colspan="2">–4.6 to 0.7</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Trends in the prevalence of secondhand smoke exposure in public places (on ≥1 day during the past 7 days) by age, sex, residence, region, gross domestic product per capita category, and status of cigarette smoking among Chinese adolescents from 2013-2014 to 2019.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="130"/>
            <col width="140"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="140"/>
            <thead>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Prevalence in 2013-2014, %</td>
                <td colspan="2">95% CI</td>
                <td colspan="2">Prevalence in 2019, %</td>
                <td colspan="2">95% CI</td>
                <td colspan="2">Absolute change in prevalence, %</td>
                <td>95% CI</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Overall</td>
                <td>68.3</td>
                <td colspan="2">66.9 to 69.6</td>
                <td colspan="2">57.3</td>
                <td colspan="2">56 to 58.6</td>
                <td colspan="2">–11</td>
                <td>–12.9 to –9.1</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Grade</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh</td>
                <td>60.2</td>
                <td>58.6 to 61.8</td>
                <td colspan="2">48.9</td>
                <td colspan="2">47.1 to 50.6</td>
                <td colspan="2">–11.4</td>
                <td colspan="2">–13.8 to –9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth</td>
                <td>69.8</td>
                <td>68 to 71.5</td>
                <td colspan="2">60.1</td>
                <td colspan="2">58.4 to 61.7</td>
                <td colspan="2">–9.7</td>
                <td colspan="2">–12.2 to –7.3</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ninth</td>
                <td>74.7</td>
                <td>73.5 to 75.9</td>
                <td colspan="2">63.6</td>
                <td colspan="2">62.3 to 65</td>
                <td colspan="2">–11.1</td>
                <td colspan="2">–13 to –9.3</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Sex</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Boys</td>
                <td>71.3</td>
                <td>70 to 72.5</td>
                <td colspan="2">59.5</td>
                <td colspan="2">58.1 to 60.9</td>
                <td colspan="2">–11.9</td>
                <td colspan="2">–13.7 to –10</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Girls</td>
                <td>64.9</td>
                <td>63.4 to 66.4</td>
                <td colspan="2">54.8</td>
                <td colspan="2">53.4 to 56.2</td>
                <td colspan="2">–10.1</td>
                <td colspan="2">–12.2 to –8.1</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Residence</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban</td>
                <td>69.8</td>
                <td>68.6 to 71</td>
                <td colspan="2">57.6</td>
                <td colspan="2">55.8 to 59.5</td>
                <td colspan="2">–12.2</td>
                <td colspan="2">–14.5 to –9.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural</td>
                <td>67.6</td>
                <td>65.9 to 69.4</td>
                <td colspan="2">57.1</td>
                <td colspan="2">55.3 to 58.9</td>
                <td colspan="2">–10.6</td>
                <td colspan="2">–13.1 to –8.1</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Region</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td>67.6</td>
                <td>64.7 to 70.5</td>
                <td colspan="2">56.6</td>
                <td colspan="2">52.4 to 60.9</td>
                <td colspan="2">–11</td>
                <td colspan="2">–16.2 to –5.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td>63.5</td>
                <td>61.5 to 65.6</td>
                <td colspan="2">53.7</td>
                <td colspan="2">50.7 to 56.6</td>
                <td colspan="2">–9.9</td>
                <td colspan="2">–13.6 to –6.3</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central</td>
                <td>71.5</td>
                <td>69.2 to 73.7</td>
                <td colspan="2">58.5</td>
                <td colspan="2">56 to 61</td>
                <td colspan="2">–13</td>
                <td colspan="2">–16.4 to –9.6</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South</td>
                <td>62.8</td>
                <td>57 to 68.6</td>
                <td colspan="2">58.7</td>
                <td colspan="2">55.8 to 61.6</td>
                <td colspan="2">–4.1</td>
                <td colspan="2">–10.7 to 2.5</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td>73.4</td>
                <td>70.8 to 75.9</td>
                <td colspan="2">60.2</td>
                <td colspan="2">57 to 63.4</td>
                <td colspan="2">–13.3</td>
                <td colspan="2">–17.4 to –9.1</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td>75.1</td>
                <td>71.8 to 78.3</td>
                <td colspan="2">61.9</td>
                <td colspan="2">58.1 to 65.6</td>
                <td colspan="2">–13.2</td>
                <td colspan="2">–18.3 to –8.2</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td>70.3</td>
                <td>68.2 to 72.5</td>
                <td colspan="2">55.4</td>
                <td colspan="2">52 to 58.8</td>
                <td colspan="2">–14.9</td>
                <td colspan="2">–19.1 to –10.8</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Gross domestic product</bold>
                  <bold>per capita category</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td>70.5</td>
                <td>68.3 to 72.7</td>
                <td colspan="2">59.5</td>
                <td colspan="2">56.8 to 62.3</td>
                <td colspan="2">–11.1</td>
                <td colspan="2">–14.7 to –7.5</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Middle</td>
                <td>70.7</td>
                <td>69.1 to 72.3</td>
                <td colspan="2">58.4</td>
                <td colspan="2">56.6 to 60.2</td>
                <td colspan="2">–12.4</td>
                <td colspan="2">–14.8 to –9.9</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High</td>
                <td>63.7</td>
                <td>61 to 66.4</td>
                <td colspan="2">54.3</td>
                <td colspan="2">51.9 to 56.7</td>
                <td colspan="2">–9.4</td>
                <td colspan="2">–13.1 to –5.8</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>Current cigarette smoking</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>66.5</td>
                <td>65.2 to 67.9</td>
                <td colspan="2">55.9</td>
                <td colspan="2">54.6 to 57.2</td>
                <td colspan="2">–10.7</td>
                <td colspan="2">–12.6 to –8.8</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>91.6</td>
                <td>90.4 to 92.8</td>
                <td colspan="2">89.9</td>
                <td colspan="2">88.2 to 91.5</td>
                <td colspan="2">–1.9</td>
                <td colspan="2">–3.9 to 0.2</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Trends in the geographical distribution of secondhand smoke exposure (on ≥1 day during the past 7 days) at home, in public places, and in any place among Chinese adolescents from 2013-2014 to 2019.</p>
          </caption>
          <graphic xlink:href="publichealth_v9i1e40782_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Association Between Secondhand Smoke Exposure and Potential Factors</title>
        <p>In the multivariable logistic regression analysis, adolescents were more likely to be exposed to secondhand smoke in the combined data set (2013-2014 and 2019) if they were in a higher school grade (ninth vs seventh grade: odds ratio [OR] 1.76, 95% CI 1.68-1.84), were boys (boys vs girls: OR 1.18, 95% CI 1.15-1.22), lived in an urban setting (urban vs rural: OR 1.10, 95% CI 1.01-1.19), and were a current cigarette smoker (smoker vs nonsmoker: OR 6.67, 95% CI 5.83-7.62). These results were largely independent of survey year (2013-2014 or 2019; <xref ref-type="table" rid="table5">Table 5</xref>).</p>
        <table-wrap position="float" id="table5">
          <label>Table 5</label>
          <caption>
            <p>Multivariable odds ratios and 95% CIs for factors associated with secondhand smoke exposure (on ≥1 day during the past 7 days) among Chinese adolescents. All variables listed in the table were introduced into logistic regression models.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="110"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="90"/>
            <thead>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="7">In any place, odds ratio (95% CI)</td>
                <td colspan="7">At home, odds ratio (95% CI)</td>
                <td colspan="5">In public places, odds ratio (95% CI)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="2">2013-2014</td>
                <td colspan="2">2019</td>
                <td colspan="2">Total</td>
                <td colspan="3">2013-2014</td>
                <td colspan="2">2019</td>
                <td colspan="2">Total</td>
                <td colspan="3">2013-2014</td>
                <td colspan="2">2019</td>
                <td>Total</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="22">
                  <bold>Grade</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth</td>
                <td colspan="2">1.49 (1.40-1.60)</td>
                <td colspan="2">1.52 (1.42-1.62)</td>
                <td colspan="2">1.50 (1.44-1.58)</td>
                <td colspan="3">1.28 (1.23-1.34)</td>
                <td colspan="2">1.26 (1.18-1.33)</td>
                <td colspan="2">1.27 (1.22-1.32)</td>
                <td colspan="3">1.50 (1.40-1.59)</td>
                <td colspan="2">1.55 (1.45-1.65)</td>
                <td colspan="2">1.52 (1.45-1.59)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ninth</td>
                <td colspan="2">1.86 (1.75-1.99)</td>
                <td colspan="2">1.66 (1.56-1.78)</td>
                <td colspan="2">1.76 (1.68-1.84)</td>
                <td colspan="3">1.34 (1.28-1.40)</td>
                <td colspan="2">1.23 (1.17-1.30)</td>
                <td colspan="2">1.29 (1.25-1.34)</td>
                <td colspan="3">1.89 (1.77-2.01)</td>
                <td colspan="2">1.77 (1.65-1.90)</td>
                <td colspan="2">1.83 (1.74-1.91)</td>
              </tr>
              <tr valign="top">
                <td colspan="22">
                  <bold>Sex</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Girls</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Boys</td>
                <td colspan="2">1.23 (1.19-1.30)</td>
                <td colspan="2">1.16 (1.12-1.20)</td>
                <td colspan="2">1.18 (1.15-1.22)</td>
                <td colspan="3">1.10 (1.06-1.14)</td>
                <td colspan="2">1.12 (1.09-1.16)</td>
                <td colspan="2">1.10 (1.08-1.12)</td>
                <td colspan="3">1.25 (1.20-1.30)</td>
                <td colspan="2">1.16 (1.11-1.20)</td>
                <td colspan="2">1.18 (1.11-1.20)</td>
              </tr>
              <tr valign="top">
                <td colspan="22">
                  <bold>Residence</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban</td>
                <td colspan="2">1.22 (1.09-1.37)</td>
                <td colspan="2">1.09 (0.98-1.22)</td>
                <td colspan="2">1.10 (1.01-1.19)</td>
                <td colspan="3">1.01 (0.92-1.10)</td>
                <td colspan="2">0.99 (0.91-1.08)</td>
                <td colspan="2">0.96 (0.89-1.03)</td>
                <td colspan="3">1.22 (1.10-1.35)</td>
                <td colspan="2">1.11 (0.99-1.23)</td>
                <td colspan="2">1.10 (1.02-1.19)</td>
              </tr>
              <tr valign="top">
                <td colspan="22">
                  <bold>Region</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>North</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td colspan="2">0.91 (0.73-1.14)</td>
                <td colspan="2">0.96 (0.77-1.21)</td>
                <td colspan="2">0.93 (0.79-1.09)</td>
                <td colspan="3">0.86 (0.71-1.03)</td>
                <td colspan="2">0.93 (0.77-1.12)</td>
                <td colspan="2">0.89 (0.77-1.01)</td>
                <td colspan="3">0.92 (0.75-1.13)</td>
                <td colspan="2">0.97 (0.78-1.21)</td>
                <td colspan="2">0.94 (0.80-1.10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central</td>
                <td colspan="2">1.18 (0.95-1.46)</td>
                <td colspan="2">1.06 (0.85-1.32)</td>
                <td colspan="2">1.09 (0.93-1.28)</td>
                <td colspan="3">1.07 (0.9-1.28)</td>
                <td colspan="2">0.95 (0.78-1.16)</td>
                <td colspan="2">1.00 (0.87-1.15)</td>
                <td colspan="3">1.20 (0.98-1.46)</td>
                <td colspan="2">1.11 (0.89-1.37)</td>
                <td colspan="2">1.12 (0.96-1.31)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>South</td>
                <td colspan="2">0.80 (0.61-1.05)</td>
                <td colspan="2">1.20 (0.95-1.52)</td>
                <td colspan="2">0.99 (0.82-1.19)</td>
                <td colspan="3">0.81 (0.65-1.01)</td>
                <td colspan="2">1.16 (0.92-1.47)</td>
                <td colspan="2">0.97 (0.82-1.14)</td>
                <td colspan="3">0.83 (0.64-1.07)</td>
                <td colspan="2">1.14 (0.92-1.40)</td>
                <td colspan="2">0.98 (0.82-1.16)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Southwest</td>
                <td colspan="2">1.24 (1.01-1.51)</td>
                <td colspan="2">1.06 (0.84-1.34)</td>
                <td colspan="2">1.13 (0.96-1.33)</td>
                <td colspan="3">1.17 (0.98-1.39)</td>
                <td colspan="2">0.97 (0.79-1.18)</td>
                <td colspan="2">1.07 (0.94-1.23)</td>
                <td colspan="3">1.28 (1.06-1.54)</td>
                <td colspan="2">1.12 (0.90-1.41)</td>
                <td colspan="2">1.19 (1.02-1.39)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northwest</td>
                <td colspan="2">1.37 (1.07-1.77)</td>
                <td colspan="2">1.15 (0.90-1.45)</td>
                <td colspan="2">1.26 (1.05-1.51)</td>
                <td colspan="3">1.18 (0.98-1.42)</td>
                <td colspan="2">0.90 (0.73-1.12)</td>
                <td colspan="2">1.06 (0.92-1.23)</td>
                <td colspan="3">1.42 (1.14-1.77)</td>
                <td colspan="2">1.24 (0.97-1.58)</td>
                <td colspan="2">1.34 (1.12-1.59)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Northeast</td>
                <td colspan="2">1.13 (0.94-1.34)</td>
                <td colspan="2">0.91 (0.72-1.15)</td>
                <td colspan="2">1.02 (0.87-1.20)</td>
                <td colspan="3">1.05 (0.89-1.25)</td>
                <td colspan="2">0.90 (0.75-1.07)</td>
                <td colspan="2">1.00 (0.88-1.13)</td>
                <td colspan="3">1.10 (0.93-1.30)</td>
                <td colspan="2">0.94 (0.75-1.17)</td>
                <td colspan="2">1.03 (0.89-1.20)</td>
              </tr>
              <tr valign="top">
                <td colspan="22">
                  <bold>Gross domestic product per capita category</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Middle</td>
                <td colspan="2">0.96 (0.81-1.14)</td>
                <td colspan="2">0.99 (0.85-1.15)</td>
                <td colspan="2">0.98 (0.87-1.10)</td>
                <td colspan="3">0.87 (0.76-0.99)</td>
                <td colspan="2">0.95 (0.82-1.09)</td>
                <td colspan="2">0.91 (0.82-1.00)</td>
                <td colspan="3">0.99 (0.85-1.16)</td>
                <td colspan="2">0.99 (0.85-1.14)</td>
                <td colspan="2">0.99 (0.89-1.11)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High</td>
                <td colspan="2">0.86 (0.69-1.07)</td>
                <td colspan="2">0.87 (0.73-1.03)</td>
                <td colspan="2">0.88 (0.76-1.01)</td>
                <td colspan="3">0.88 (0.75-1.04)</td>
                <td colspan="2">0.88 (0.75-1.03)</td>
                <td colspan="2">0.89 (0.79-1.00)</td>
                <td colspan="3">0.86 (0.70-1.06)</td>
                <td colspan="2">0.87 (0.74-1.02)</td>
                <td colspan="2">0.88 (0.77-1.00)</td>
              </tr>
              <tr valign="top">
                <td colspan="22">
                  <bold>Current cigarette smoking</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="3">1.00</td>
                <td colspan="2">1.00</td>
                <td colspan="2">1.00</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td colspan="2">5.31 (4.45-6.35)</td>
                <td colspan="2">8.07 (6.60-9.87)</td>
                <td colspan="2">6.67 (5.83-7.62)</td>
                <td colspan="3">2.51 (2.31-2.73)</td>
                <td colspan="2">3.65 (3.36-3.96)</td>
                <td colspan="2">3.04 (2.87-3.22)</td>
                <td colspan="3">4.53 (3.89-5.28)</td>
                <td colspan="2">6.10 (5.08-7.32)</td>
                <td colspan="2">5.39 (4.80-6.05)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Trends in Attitude Toward Secondhand Smoke Exposure</title>
        <p>We observed no change in the proportion of adolescents who thought secondhand smoke exposure was harmful to them between the surveys (2013-2014: 73.9%, 95% CI 73.3%-74.5%; 2019: 73.7%, 95% CI 72.7%-74.8%). This observation was consistent across subgroups by grade, residence, region, and GDP per capita category. However, we noted fewer girls and cigarette smokers and more boys, proportionally, considered smoking to be harmful in 2019 compared to 2013-2014 (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>, Table S8).</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>A decrease in the prevalence of secondhand smoke exposure occurred from 2013-2014 to 2019 among middle school–aged students in China. This decline was observed irrespective of sex, residence, region, provincial economic level, and location of exposure (in any place, at home, and in public places). However, the prevalence remained high in 2019 (63.2% in any place, 34.1% at home, and 57.3% in public places), highlighting the need for more effective strategies to control tobacco use and further curtail secondhand smoke exposure in China.</p>
        <p>To the best of our knowledge, this is the first study to assess in detail the latest information on the prevalence of secondhand smoke exposure and trends in this exposure among adolescents in China using nationally representative data. Overall, in 2019 the prevalence (on ≥1 day during the past 7 days) was 34.1% (95% CI 33.1%-35.2%) at home, which is higher than in the United States (25.3%, 95% CI 23.4%-27.3%), while the prevalence of exposure was similar on public transportation between the 2 countries (China: 23.4%, 95% CI 22.3%-24.4%; United States: 23.3%, 95% CI 21.4%-25.4%) [<xref ref-type="bibr" rid="ref17">17</xref>]. The prevalence of exposure to secondhand smoke was 57.3% (95% CI 56%-58.6%) in public places and 63.2% (95% CI 62%-64.5%) in any place in 2019, which was higher than in many other countries [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref19">19</xref>]. In addition, nearly a quarter (24.7%, 95% CI 23.8%-25.7%) of adolescents were exposed to secondhand smoke in any place daily, one-tenth (12.4%, 95% CI 11.8%-13%) at home and one-fifth (18.7%, 95% CI 17.8%-19.5%) in public places. Data from the 2010-2018 GYTS among 711,366 adolescents aged 12 to 16 years in 142 countries showed that the global prevalence of secondhand smoke exposure (on ≥1 day) was 33.1% (95% CI 32.1%-34.1%) at home, 57.6% (95% CI 56.4%-58.8%) in public places, and 62.9% (95% CI 61.7%-64.1%) in any place; the daily exposure prevalence was 12.3% (95% CI 11.7%-13%) at home, 23.5% (95% CI 22.5%-24.5%) in public places, and 32.5% (95% CI 31.5%-33.6%) in any place [<xref ref-type="bibr" rid="ref9">9</xref>]. While these data highlight the fact that secondhand smoke exposure remains a serious public health issue worldwide, our data, using the same instruments of exposure measurement, show that exposure in China is comparatively much higher.</p>
        <p>One advantage of our data over previous studies is that our exposure assessment was able to further categorize the types of public places where exposure occurred. It is obvious that the health risk should be higher for exposure in enclosed public places than open public places. Our findings showed that the prevalence in enclosed public places (45.8%) was similar to that in open public places (48.6%) in 2019, although the prevalence was lower on public transportation (23.4%). Another important finding is that in 2019 nearly 50% of adolescents were exposed to secondhand smoke in schools, suggesting that many school staff are cigarette smokers who not only set a bad example for students, but also expose students to their secondhand smoke. These data reinforce the fact that secondhand smoke exposure among adolescents remains a serious public health issue, especially in public places, and identifies key exposure sites outside of the home that could be targeted for intervention.</p>
        <p>We observed that the prevalence of secondhand smoke exposure increased as school grade increased, which can be explained as older adolescents from higher grades being more accepting of tobacco use among their peers and being more likely to smoke themselves; both factors increase the probability of secondhand smoke exposure [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref20">20</xref>]. We also found that the prevalence of exposure decreased when moving from low to high provincial GDP per capita categories, as others have shown [<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref22">22</xref>]. This might be partly explained by lower awareness of the harm of secondhand smoke exposure among adolescents in lower GDP per capita regions than higher GDP per capita regions. Moreover, many economically developed municipalities, such as Beijing and Shanghai, have implemented stricter smoke-free policies than other municipalities or provinces. Notably, however, there was little difference observed in the prevalence of secondhand smoke exposure among adolescents across the 7 geographical regions. These findings further emphasize the fact that secondhand smoke exposure among adolescents remains a serious concern across mainland China. We found that almost all adolescent cigarette smokers (89.9%) were exposed to secondhand smoke (≥1 day during the past 7 days), although exposure was also high in adolescents who did not smoke cigarettes (55.9%). These data are consistent with those from other studies showing a positive relationship between secondhand smoke exposure and cigarette smoking [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref23">23</xref>]. This finding further suggests that preventing smoking among adolescents would help lower the prevalence of secondhand smoke exposure among this population.</p>
        <p>Of note, the prevalence of secondhand smoke exposure among adolescents decreased by approximately 10% from 2013-2014 to 2019 regardless of location (in any place, at home, and in public places). In 2005, China ratified the WHO Framework Convention on Tobacco Control (FCTC), which came into force on January 9, 2006 [<xref ref-type="bibr" rid="ref24">24</xref>]. Since then, a series of tobacco control measures have been drafted in China. In 2007, the Inter-Ministry Coordination and Steering Committee for Implementation of WHO FCTC was established under the State Council [<xref ref-type="bibr" rid="ref25">25</xref>]. In 2009, the Ministry of Finance and State Taxation Administration decided to adjust the taxation of tobacco products. In 2000 (when the exchange rate was US $1=RMB 8.28), the tax rate was 45% for tobacco products priced RMB ≥50/carton and 30% for products priced RMB &#60;50/carton; in 2009 (when the exchange rate was US $1=RMB 6.81), the rates were 56% for products priced RMB ≥70/carton and 36% for products priced RMB &#60;70/carton) [<xref ref-type="bibr" rid="ref26">26</xref>]. To protect youth from secondhand smoke exposure, the General Office of the Ministry of Education further strengthened tobacco control in schools (ie, strengthening tobacco control propaganda and education, ensuring that teachers set a good example for students, and establishing a perfect system for tobacco control) in 2010 [<xref ref-type="bibr" rid="ref27">27</xref>]. Based on the actions above, China has made some progress in tobacco control. It was reported that the prevalence of secondhand smoke exposure among mainly adult people aged ≥15 years declined from 55.2% (95% CI 50.4%-59.9%) in 2010 to 45.3% (95% CI 41.4%-49.2%) in 2015 [<xref ref-type="bibr" rid="ref7">7</xref>]. Despite these efforts, tobacco control is only slowly improving in China. We found that the prevalence of secondhand smoke exposure at home and in public places is still unacceptably high. To investigate whether a hygiene intervention for Chinese smokers in households with young children would lead to a reduction of secondhand smoke exposure among children, 180 families were randomly divided into an intervention group (n=98 families) and a control group (n=82 families). The results suggested that a smoking hygiene intervention might be an effective measure in reducing the prevalence of secondhand smoke exposure among children [<xref ref-type="bibr" rid="ref28">28</xref>]. Smoke-free car laws have also been tested as rational and effective measures in reducing secondhand smoke exposure among youth [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>]. Furthermore, we found that nearly three-fourths of adolescents are aware of the harms to them of secondhand smoke. Feng et al [<xref ref-type="bibr" rid="ref31">31</xref>] reported that 68.5% of adult nonsmokers and 60.6% of adult smokers believed that secondhand smoke exposure could cause lung cancer. This provides a solid foundation for national smoke-free legislation. These findings call for stronger action to promote the process of achieving a smoke-free world.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>Although our study has several strengths (2 surveys were conducted in a nationally representative sample of Chinese adolescents and followed strict quality assurance and control procedures to ensure the validity and reliability of the data; to our knowledge, this study reports the most recent prevalence and trend estimates of secondhand smoke exposure among adolescents in mainland China), several limitations should be noted. First, the prevalence of secondhand smoke exposure was estimated by self-report, which is subject to recall bias. However, the questions used to collect the exposure data have been tested with good reliability and adequate validity [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]. Further studies using objective biomarkers of secondhand smoke exposure (eg, plasma, saliva, or urinary cotinine or other nicotine biomarkers) could improve the reliability of our results. Second, each of the 2 surveys was a school-based survey, and our estimates of prevalence are conservative given that risk behaviors among those who leave school may be higher than among those who remain in school [<xref ref-type="bibr" rid="ref34">34</xref>]. Third, only middle school students were included in our analyses; thus, our findings could not be directly generalized to youth in other age groups. Fourth, our study did not provide enough information on secondhand smoke exposure (eg, exposure to different types of tobacco and exposure duration per day). Fifth, data from Taiwan, Hong Kong, and Macao were missing, thus limiting the generalizability of our findings to adolescents throughout China. Sixth, a causal association should not necessarily be inferred, because this study had a cross-sectional design. Seventh, many other factors influencing secondhand smoke exposure, such as social, economic, and individual factors, were not considered in this study.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>Although the prevalence of secondhand smoke exposure among Chinese adolescents has declined from 2013-2014 to 2019, exposure remains unacceptably high. These findings suggest more effective strategies and stronger action, especially in public places, but also at home, are needed in China to further curtail secondhand smoke exposure among adolescents.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Supplementary files.</p>
        <media xlink:href="publichealth_v9i1e40782_app1.doc" xlink:title="DOC File , 2305 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">FCTC</term>
          <def>
            <p>Framework Convention on Tobacco Control</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">GDP</term>
          <def>
            <p>gross domestic product</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">GYTS</term>
          <def>
            <p>Global Youth Tobacco Survey</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">NYTS</term>
          <def>
            <p>China National Youth Tobacco Survey</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">OR</term>
          <def>
            <p>odds ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">WHO</term>
          <def>
            <p>World Health Organization</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>This study was supported by the Youth Team of Humanistic and Social Science of Shandong University (20820IFYT1902), the National Key Research and Development Program of China (2017YFC1310902), the National Natural Science Foundation of China (81872721), and the Chinese Central Government Key Project of Public Health Program (Z195110010005).</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data sets generated during and/or analyzed during the current study are available from the corresponding author S Liu on reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>BX (xibo2007@126.com) and S Liu are co–corresponding authors. CM, YH, and S Li are cofirst authors. BX and S Liu designed the study and were the principal investigators. CM and YH drafted the first version of the manuscript. S Li analyzed the data. XZ and XD validated the data. S Liu and S Li accessed and verified the data. BX, CGM, MZ, and S Liu critically revised the manuscript. All authors approved the final version of the manuscript and had final responsibility for the decision to submit for publication.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="web">
          <article-title>The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General</article-title>
          <source>U.S. Department of Health and Human Services</source>
          <year>2014</year>
          <access-date>2023-02-24</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.hhs.gov/sites/default/files/consequences-smoking-exec-summary.pdf">https://www.hhs.gov/sites/default/files/consequences-smoking-exec-summary.pdf</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref2">
        <label>2</label>
        <nlm-citation citation-type="web">
          <article-title>Tobacco</article-title>
          <source>World Health Organization</source>
          <access-date>2022-07-03</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.who.int/health-topics/tobacco#tab=tab_1">https://www.who.int/health-topics/tobacco#tab=tab_1</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref3">
        <label>3</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Makadia</surname>
              <given-names>LD</given-names>
            </name>
            <name name-style="western">
              <surname>Roper</surname>
              <given-names>PJ</given-names>
            </name>
            <name name-style="western">
              <surname>Andrews</surname>
              <given-names>JO</given-names>
            </name>
            <name name-style="western">
              <surname>Tingen</surname>
              <given-names>MS</given-names>
            </name>
          </person-group>
          <article-title>Tobacco use and smoke exposure in children: new trends, harm, and strategies to improve health outcomes</article-title>
          <source>Curr Allergy Asthma Rep</source>
          <year>2017</year>
          <month>08</month>
          <volume>17</volume>
          <issue>8</issue>
          <fpage>55</fpage>
          <pub-id pub-id-type="doi">10.1007/s11882-017-0723-0</pub-id>
          <pub-id pub-id-type="medline">28741144</pub-id>
          <pub-id pub-id-type="pii">10.1007/s11882-017-0723-0</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref4">
        <label>4</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Pistilli</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Howard</surname>
              <given-names>VJ</given-names>
            </name>
            <name name-style="western">
              <surname>Safford</surname>
              <given-names>MM</given-names>
            </name>
            <name name-style="western">
              <surname>Lee</surname>
              <given-names>BK</given-names>
            </name>
            <name name-style="western">
              <surname>Lovasi</surname>
              <given-names>GS</given-names>
            </name>
            <name name-style="western">
              <surname>Cushman</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Malek</surname>
              <given-names>AM</given-names>
            </name>
            <name name-style="western">
              <surname>McClure</surname>
              <given-names>LA</given-names>
            </name>
            <collab>REGARDS Investigators</collab>
          </person-group>
          <article-title>Association of secondhand tobacco smoke exposure during childhood on adult cardiovascular disease risk among never-smokers</article-title>
          <source>Ann Epidemiol</source>
          <year>2019</year>
          <month>04</month>
          <volume>32</volume>
          <fpage>28</fpage>
          <lpage>34.e1</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/30799203"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/j.annepidem.2019.01.012</pub-id>
          <pub-id pub-id-type="medline">30799203</pub-id>
          <pub-id pub-id-type="pii">S1047-2797(18)30797-X</pub-id>
          <pub-id pub-id-type="pmcid">PMC6441374</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref5">
        <label>5</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Diver</surname>
              <given-names>WR</given-names>
            </name>
            <name name-style="western">
              <surname>Jacobs</surname>
              <given-names>EJ</given-names>
            </name>
            <name name-style="western">
              <surname>Gapstur</surname>
              <given-names>SM</given-names>
            </name>
          </person-group>
          <article-title>Secondhand smoke exposure in childhood and adulthood in relation to adult mortality among never smokers</article-title>
          <source>Am J Prev Med</source>
          <year>2018</year>
          <month>09</month>
          <volume>55</volume>
          <issue>3</issue>
          <fpage>345</fpage>
          <lpage>352</lpage>
          <pub-id pub-id-type="doi">10.1016/j.amepre.2018.05.005</pub-id>
          <pub-id pub-id-type="medline">30122215</pub-id>
          <pub-id pub-id-type="pii">S0749-3797(18)31876-2</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref6">
        <label>6</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <collab>GBD 2019 Tobacco Collaborators</collab>
          </person-group>
          <article-title>Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019</article-title>
          <source>Lancet</source>
          <year>2021</year>
          <month>06</month>
          <day>19</day>
          <volume>397</volume>
          <issue>10292</issue>
          <fpage>2337</fpage>
          <lpage>2360</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://boris.unibe.ch/id/eprint/163394"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/S0140-6736(21)01169-7</pub-id>
          <pub-id pub-id-type="medline">34051883</pub-id>
          <pub-id pub-id-type="pii">S0140-6736(21)01169-7</pub-id>
          <pub-id pub-id-type="pmcid">PMC8223261</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref7">
        <label>7</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Xiao</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Jiang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Zhang</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Parascandola</surname>
              <given-names>M</given-names>
            </name>
          </person-group>
          <article-title>Secondhand smoke exposure among nonsmokers in China</article-title>
          <source>Asian Pac J Cancer Prev</source>
          <year>2020</year>
          <month>07</month>
          <day>01</day>
          <volume>21</volume>
          <issue>S1</issue>
          <fpage>17</fpage>
          <lpage>22</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://journal.waocp.org/?sid=Entrez:PubMed&#38;id=pmid:32649166&#38;key=2020.21.S1.17"/>
          </comment>
          <pub-id pub-id-type="doi">10.31557/APJCP.2020.21.S1.17</pub-id>
          <pub-id pub-id-type="medline">32649166</pub-id>
          <pub-id pub-id-type="pii">89095</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref8">
        <label>8</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Xie</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Jia</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Zhang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Wang</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Qin</surname>
              <given-names>N</given-names>
            </name>
            <name name-style="western">
              <surname>Cao</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Zhao</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Yu</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Duan</surname>
              <given-names>X</given-names>
            </name>
          </person-group>
          <article-title>Household exposure to secondhand smoke among Chinese children: status, determinants, and co-exposures</article-title>
          <source>Int J Environ Res Public Health</source>
          <year>2020</year>
          <month>07</month>
          <day>30</day>
          <volume>17</volume>
          <issue>15</issue>
          <fpage>5524</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.mdpi.com/resolver?pii=ijerph17155524"/>
          </comment>
          <pub-id pub-id-type="doi">10.3390/ijerph17155524</pub-id>
          <pub-id pub-id-type="medline">32751695</pub-id>
          <pub-id pub-id-type="pii">ijerph17155524</pub-id>
          <pub-id pub-id-type="pmcid">PMC7432650</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref9">
        <label>9</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Ma</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Heiland</surname>
              <given-names>EG</given-names>
            </name>
            <name name-style="western">
              <surname>Li</surname>
              <given-names>Z</given-names>
            </name>
            <name name-style="western">
              <surname>Zhao</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Liang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Xi</surname>
              <given-names>B</given-names>
            </name>
          </person-group>
          <article-title>Global trends in the prevalence of secondhand smoke exposure among adolescents aged 12-16 years from 1999 to 2018: an analysis of repeated cross-sectional surveys</article-title>
          <source>Lancet Glob Health</source>
          <year>2021</year>
          <month>12</month>
          <volume>9</volume>
          <issue>12</issue>
          <fpage>e1667</fpage>
          <lpage>e1678</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://linkinghub.elsevier.com/retrieve/pii/S2214-109X(21)00365-X"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/S2214-109X(21)00365-X</pub-id>
          <pub-id pub-id-type="medline">34571047</pub-id>
          <pub-id pub-id-type="pii">S2214-109X(21)00365-X</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref10">
        <label>10</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Yang</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Wang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Wu</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Yang</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Wan</surname>
              <given-names>X</given-names>
            </name>
          </person-group>
          <article-title>The road to effective tobacco control in China</article-title>
          <source>Lancet</source>
          <year>2015</year>
          <month>03</month>
          <day>14</day>
          <volume>385</volume>
          <issue>9972</issue>
          <fpage>1019</fpage>
          <lpage>28</lpage>
          <pub-id pub-id-type="doi">10.1016/S0140-6736(15)60174-X</pub-id>
          <pub-id pub-id-type="medline">25784349</pub-id>
          <pub-id pub-id-type="pii">S0140-6736(15)60174-X</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref11">
        <label>11</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Fang</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Yang</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Wan</surname>
              <given-names>X</given-names>
            </name>
          </person-group>
          <article-title>'Pro-tobacco propaganda': a case study of tobacco industry-sponsored elementary schools in China</article-title>
          <source>Tob Control</source>
          <year>2020</year>
          <month>07</month>
          <volume>29</volume>
          <issue>4</issue>
          <fpage>447</fpage>
          <lpage>451</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://tobaccocontrol.bmj.com/lookup/pmidlookup?view=long&#38;pmid=31302606"/>
          </comment>
          <pub-id pub-id-type="doi">10.1136/tobaccocontrol-2018-054646</pub-id>
          <pub-id pub-id-type="medline">31302606</pub-id>
          <pub-id pub-id-type="pii">tobaccocontrol-2018-054646</pub-id>
          <pub-id pub-id-type="pmcid">PMC7361027</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref12">
        <label>12</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Henderson</surname>
              <given-names>E</given-names>
            </name>
            <name name-style="western">
              <surname>Continente</surname>
              <given-names>X</given-names>
            </name>
            <name name-style="western">
              <surname>Fernández</surname>
              <given-names>Esteve</given-names>
            </name>
            <name name-style="western">
              <surname>Tigova</surname>
              <given-names>O</given-names>
            </name>
            <name name-style="western">
              <surname>Cortés-Francisco</surname>
              <given-names>Nuria</given-names>
            </name>
            <name name-style="western">
              <surname>Gallus</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Lugo</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Semple</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>O'Donnell</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Clancy</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Keogan</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Ruprecht</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Borgini</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Tzortzi</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Vyzikidou</surname>
              <given-names>VK</given-names>
            </name>
            <name name-style="western">
              <surname>Gorini</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>López-Nicolás</surname>
              <given-names>Angel</given-names>
            </name>
            <name name-style="western">
              <surname>Soriano</surname>
              <given-names>JB</given-names>
            </name>
            <name name-style="western">
              <surname>Geshanova</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Osman</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Mons</surname>
              <given-names>U</given-names>
            </name>
            <name name-style="western">
              <surname>Przewozniak</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Precioso</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Brad</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>López</surname>
              <given-names>Maria J</given-names>
            </name>
            <collab>TackSHS project investigators</collab>
          </person-group>
          <article-title>Secondhand smoke exposure in outdoor children's playgrounds in 11 European countries</article-title>
          <source>Environ Int</source>
          <year>2021</year>
          <month>04</month>
          <volume>149</volume>
          <fpage>105775</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://linkinghub.elsevier.com/retrieve/pii/S0160-4120(20)30592-4"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/j.envint.2020.105775</pub-id>
          <pub-id pub-id-type="medline">33228970</pub-id>
          <pub-id pub-id-type="pii">S0160-4120(20)30592-4</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref13">
        <label>13</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Yao</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Sung</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Wang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Lightwood</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Max</surname>
              <given-names>W</given-names>
            </name>
          </person-group>
          <article-title>Healthcare costs of secondhand smoke exposure at home for U.S. children</article-title>
          <source>Am J Prev Med</source>
          <year>2019</year>
          <month>02</month>
          <volume>56</volume>
          <issue>2</issue>
          <fpage>281</fpage>
          <lpage>287</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/30553690"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/j.amepre.2018.08.013</pub-id>
          <pub-id pub-id-type="medline">30553690</pub-id>
          <pub-id pub-id-type="pii">S0749-3797(18)32212-8</pub-id>
          <pub-id pub-id-type="pmcid">PMC6340755</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref14">
        <label>14</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Ma</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Xi</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Li</surname>
              <given-names>Z</given-names>
            </name>
            <name name-style="western">
              <surname>Wu</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Zhao</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Liang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Bovet</surname>
              <given-names>P</given-names>
            </name>
          </person-group>
          <article-title>Prevalence and trends in tobacco use among adolescents aged 13-15 years in 143 countries, 1999-2018: findings from the Global Youth Tobacco Surveys</article-title>
          <source>Lancet Child Adolesc Health</source>
          <year>2021</year>
          <month>04</month>
          <volume>5</volume>
          <issue>4</issue>
          <fpage>245</fpage>
          <lpage>255</lpage>
          <pub-id pub-id-type="doi">10.1016/S2352-4642(20)30390-4</pub-id>
          <pub-id pub-id-type="medline">33545071</pub-id>
          <pub-id pub-id-type="pii">S2352-4642(20)30390-4</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref15">
        <label>15</label>
        <nlm-citation citation-type="web">
          <article-title>Per Capita Gross Regional Product and Indices</article-title>
          <source>National Bureau of Statistics of China</source>
          <access-date>2023-02-24</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://www.stats.gov.cn/tjsj/ndsj/2014/zk/html/Z0315e.htm">http://www.stats.gov.cn/tjsj/ndsj/2014/zk/html/Z0315e.htm</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref16">
        <label>16</label>
        <nlm-citation citation-type="web">
          <article-title>Gross Regional Product (2019)</article-title>
          <source>National Bureau of Statistics of China</source>
          <access-date>2023-02-24</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://www.stats.gov.cn/tjsj/ndsj/2020/indexeh.htm">http://www.stats.gov.cn/tjsj/ndsj/2020/indexeh.htm</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref17">
        <label>17</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Walton</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Gentzke</surname>
              <given-names>AS</given-names>
            </name>
            <name name-style="western">
              <surname>Murphy-Hoefer</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Kenemer</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Neff</surname>
              <given-names>LJ</given-names>
            </name>
          </person-group>
          <article-title>Exposure to secondhand smoke in homes and vehicles among US youths, United States, 2011-2019</article-title>
          <source>Prev Chronic Dis</source>
          <year>2020</year>
          <month>09</month>
          <day>10</day>
          <volume>17</volume>
          <fpage>E103</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/32915130"/>
          </comment>
          <pub-id pub-id-type="doi">10.5888/pcd17.200107</pub-id>
          <pub-id pub-id-type="medline">32915130</pub-id>
          <pub-id pub-id-type="pii">E103</pub-id>
          <pub-id pub-id-type="pmcid">PMC7553226</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref18">
        <label>18</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Ling</surname>
              <given-names>MYJ</given-names>
            </name>
            <name name-style="western">
              <surname>Lim</surname>
              <given-names>KH</given-names>
            </name>
            <name name-style="western">
              <surname>Hasani</surname>
              <given-names>WSR</given-names>
            </name>
            <name name-style="western">
              <surname>Rifin</surname>
              <given-names>HM</given-names>
            </name>
            <name name-style="western">
              <surname>Majid</surname>
              <given-names>NLA</given-names>
            </name>
            <name name-style="western">
              <surname>Lourdes</surname>
              <given-names>TGR</given-names>
            </name>
            <name name-style="western">
              <surname>Saminathan</surname>
              <given-names>TA</given-names>
            </name>
            <name name-style="western">
              <surname>Chan</surname>
              <given-names>YY</given-names>
            </name>
            <name name-style="western">
              <surname>Ahmad</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Ismail</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Yusoff</surname>
              <given-names>MFM</given-names>
            </name>
          </person-group>
          <article-title>Exposure to secondhand smoke among school-going adolescents in Malaysia: Findings from the tobacco and e-cigarettes survey among Malaysian adolescents (TECMA)</article-title>
          <source>Tob Induc Dis</source>
          <year>2020</year>
          <volume>18</volume>
          <fpage>96</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/33262682"/>
          </comment>
          <pub-id pub-id-type="doi">10.18332/tid/128622</pub-id>
          <pub-id pub-id-type="medline">33262682</pub-id>
          <pub-id pub-id-type="pii">96</pub-id>
          <pub-id pub-id-type="pmcid">PMC7694740</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref19">
        <label>19</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Kim</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Kim</surname>
              <given-names>HR</given-names>
            </name>
          </person-group>
          <article-title>Associations between secondhand smoke and mental health in Korean adolescents</article-title>
          <source>Asia Pac J Public Health</source>
          <year>2020</year>
          <month>11</month>
          <volume>32</volume>
          <issue>8</issue>
          <fpage>406</fpage>
          <lpage>413</lpage>
          <pub-id pub-id-type="doi">10.1177/1010539520957846</pub-id>
          <pub-id pub-id-type="medline">32929992</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref20">
        <label>20</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Xi</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Liang</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Liu</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Yan</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Zhao</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Ma</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Bovet</surname>
              <given-names>P</given-names>
            </name>
          </person-group>
          <article-title>Tobacco use and second-hand smoke exposure in young adolescents aged 12-15 years: data from 68 low-income and middle-income countries</article-title>
          <source>Lancet Glob Health</source>
          <year>2016</year>
          <month>11</month>
          <volume>4</volume>
          <issue>11</issue>
          <fpage>e795</fpage>
          <lpage>e805</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://linkinghub.elsevier.com/retrieve/pii/S2214-109X(16)30187-5"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/S2214-109X(16)30187-5</pub-id>
          <pub-id pub-id-type="medline">27697484</pub-id>
          <pub-id pub-id-type="pii">S2214-109X(16)30187-5</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref21">
        <label>21</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Rahman</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Haque</surname>
              <given-names>MN</given-names>
            </name>
            <name name-style="western">
              <surname>Rahman</surname>
              <given-names>MM</given-names>
            </name>
            <name name-style="western">
              <surname>Mostofa</surname>
              <given-names>MG</given-names>
            </name>
            <name name-style="western">
              <surname>Zahan</surname>
              <given-names>MS</given-names>
            </name>
            <name name-style="western">
              <surname>Mahmudul Hasan</surname>
              <given-names>SM</given-names>
            </name>
            <name name-style="western">
              <surname>Huda</surname>
              <given-names>MD</given-names>
            </name>
            <name name-style="western">
              <surname>Ahmed</surname>
              <given-names>MK</given-names>
            </name>
            <name name-style="western">
              <surname>Miraz Mahmud</surname>
              <given-names>HM</given-names>
            </name>
          </person-group>
          <article-title>Socio-economic inequalities in secondhand smoke exposure at home in the context of mother-child pairs in Bangladesh</article-title>
          <source>Public Health</source>
          <year>2018</year>
          <month>08</month>
          <volume>161</volume>
          <fpage>106</fpage>
          <lpage>116</lpage>
          <pub-id pub-id-type="doi">10.1016/j.puhe.2018.04.018</pub-id>
          <pub-id pub-id-type="medline">30015081</pub-id>
          <pub-id pub-id-type="pii">S0033-3506(18)30158-6</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref22">
        <label>22</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Bird</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Staines-Orozco</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Moraros</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>Adolescents' smoking experiences, family structure, parental smoking and socio-economic status in Ciudad Juárez, Mexico</article-title>
          <source>Int J Equity Health</source>
          <year>2016</year>
          <month>02</month>
          <day>20</day>
          <volume>15</volume>
          <fpage>29</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://equityhealthj.biomedcentral.com/articles/10.1186/s12939-016-0323-y"/>
          </comment>
          <pub-id pub-id-type="doi">10.1186/s12939-016-0323-y</pub-id>
          <pub-id pub-id-type="medline">26897609</pub-id>
          <pub-id pub-id-type="pii">10.1186/s12939-016-0323-y</pub-id>
          <pub-id pub-id-type="pmcid">PMC4761169</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref23">
        <label>23</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Okoli</surname>
              <given-names>CTC</given-names>
            </name>
            <name name-style="western">
              <surname>Kodet</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>A systematic review of secondhand tobacco smoke exposure and smoking behaviors: Smoking status, susceptibility, initiation, dependence, and cessation</article-title>
          <source>Addict Behav</source>
          <year>2015</year>
          <month>08</month>
          <volume>47</volume>
          <fpage>22</fpage>
          <lpage>32</lpage>
          <pub-id pub-id-type="doi">10.1016/j.addbeh.2015.03.018</pub-id>
          <pub-id pub-id-type="medline">25863004</pub-id>
          <pub-id pub-id-type="pii">S0306-4603(15)00125-2</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref24">
        <label>24</label>
        <nlm-citation citation-type="web">
          <article-title>Tobacco control for 5 years</article-title>
          <source>Central People's Government of the People's Republic of China</source>
          <access-date>2023-01-20</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://www.gov.cn/jrzg/2011-01/08/content_1780569.htm">http://www.gov.cn/jrzg/2011-01/08/content_1780569.htm</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref25">
        <label>25</label>
        <nlm-citation citation-type="web">
          <article-title>Reply from State Council on agreement to set up the Interministerial leading group to be in charge of FCTC implementation. State letter No 41</article-title>
          <source>Central People's Government of the People's Republic of China</source>
          <year>2007</year>
          <access-date>2023-01-20</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://www.gov.cn/zwgk/2007-04/30/content_603299.htm">http://www.gov.cn/zwgk/2007-04/30/content_603299.htm</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref26">
        <label>26</label>
        <nlm-citation citation-type="web">
          <article-title>Notice of the Ministry of Finance and the State Administration of Taxation on Adjusting the Consumption Tax Policy of Tobacco Products (No.84.2009)</article-title>
          <source>The Ministry of Finance and the State Administration of Taxation</source>
          <access-date>2023-02-24</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.shui5.cn/article/cf/24017.html">https://www.shui5.cn/article/cf/24017.html</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref27">
        <label>27</label>
        <nlm-citation citation-type="web">
          <article-title>Opinions on Further Strengthening Smoking Control in Schools</article-title>
          <source>General Office of Ministry of Education</source>
          <access-date>2023-02-24</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://www.law-lib.com/law/law_view.asp?id=317247">http://www.law-lib.com/law/law_view.asp?id=317247</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref28">
        <label>28</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Abdullah</surname>
              <given-names>AS</given-names>
            </name>
            <name name-style="western">
              <surname>Hua</surname>
              <given-names>F</given-names>
            </name>
            <name name-style="western">
              <surname>Khan</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Xia</surname>
              <given-names>X</given-names>
            </name>
            <name name-style="western">
              <surname>Bing</surname>
              <given-names>Q</given-names>
            </name>
            <name name-style="western">
              <surname>Tarang</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Winickoff</surname>
              <given-names>JP</given-names>
            </name>
          </person-group>
          <article-title>Secondhand smoke exposure reduction intervention in Chinese households of young children: a randomized controlled trial</article-title>
          <source>Acad Pediatr</source>
          <year>2015</year>
          <volume>15</volume>
          <issue>6</issue>
          <fpage>588</fpage>
          <lpage>98</lpage>
          <pub-id pub-id-type="doi">10.1016/j.acap.2015.06.008</pub-id>
          <pub-id pub-id-type="medline">26300367</pub-id>
          <pub-id pub-id-type="pii">S1876-2859(15)00216-8</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref29">
        <label>29</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Patel</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Thai</surname>
              <given-names>CL</given-names>
            </name>
            <name name-style="western">
              <surname>Meng</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Kuo</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Zheng</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Dietsch</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>McCarthy</surname>
              <given-names>WJ</given-names>
            </name>
          </person-group>
          <article-title>Smoke-free car legislation and student exposure to smoking</article-title>
          <source>Pediatrics</source>
          <year>2018</year>
          <month>01</month>
          <volume>141</volume>
          <issue>Suppl 1</issue>
          <fpage>S40</fpage>
          <lpage>S50</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/29292305"/>
          </comment>
          <pub-id pub-id-type="doi">10.1542/peds.2017-1026H</pub-id>
          <pub-id pub-id-type="medline">29292305</pub-id>
          <pub-id pub-id-type="pii">peds.2017-1026H</pub-id>
          <pub-id pub-id-type="pmcid">PMC9924054</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref30">
        <label>30</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Azagba</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Latham</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Shan</surname>
              <given-names>L</given-names>
            </name>
          </person-group>
          <article-title>Exposure to secondhand smoke in vehicles among Canadian adolescents: Years after the adoption of smoke-free car laws</article-title>
          <source>Addict Behav Rep</source>
          <year>2019</year>
          <month>12</month>
          <volume>10</volume>
          <fpage>100215</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://linkinghub.elsevier.com/retrieve/pii/S2352-8532(19)30121-X"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/j.abrep.2019.100215</pub-id>
          <pub-id pub-id-type="medline">31508478</pub-id>
          <pub-id pub-id-type="pii">S2352-8532(19)30121-X</pub-id>
          <pub-id pub-id-type="pmcid">PMC6726844</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref31">
        <label>31</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Feng</surname>
              <given-names>Guoze</given-names>
            </name>
            <name name-style="western">
              <surname>Jiang</surname>
              <given-names>Yuan</given-names>
            </name>
            <name name-style="western">
              <surname>Zhao</surname>
              <given-names>Luhua</given-names>
            </name>
            <name name-style="western">
              <surname>Meng</surname>
              <given-names>Gang</given-names>
            </name>
            <name name-style="western">
              <surname>Wu</surname>
              <given-names>Changbao</given-names>
            </name>
            <name name-style="western">
              <surname>Quah</surname>
              <given-names>Anne Ck</given-names>
            </name>
            <name name-style="western">
              <surname>Fong</surname>
              <given-names>Geoffrey T</given-names>
            </name>
          </person-group>
          <article-title>Degree of exposure to secondhand smoking and related knowledge, attitude among adults in urban China</article-title>
          <source>Zhonghua Liu Xing Bing Xue Za Zhi</source>
          <year>2014</year>
          <month>09</month>
          <volume>35</volume>
          <issue>9</issue>
          <fpage>998</fpage>
          <lpage>1001</lpage>
          <pub-id pub-id-type="medline">25492139</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref32">
        <label>32</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Brener</surname>
              <given-names>ND</given-names>
            </name>
            <name name-style="western">
              <surname>Collins</surname>
              <given-names>JL</given-names>
            </name>
            <name name-style="western">
              <surname>Kann</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Warren</surname>
              <given-names>CW</given-names>
            </name>
            <name name-style="western">
              <surname>Williams</surname>
              <given-names>BI</given-names>
            </name>
          </person-group>
          <article-title>Reliability of the Youth Risk Behavior Survey Questionnaire</article-title>
          <source>Am J Epidemiol</source>
          <year>1995</year>
          <month>03</month>
          <day>15</day>
          <volume>141</volume>
          <issue>6</issue>
          <fpage>575</fpage>
          <lpage>80</lpage>
          <pub-id pub-id-type="doi">10.1093/oxfordjournals.aje.a117473</pub-id>
          <pub-id pub-id-type="medline">7900725</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref33">
        <label>33</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Johnson-Kozlow</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Wahlgren</surname>
              <given-names>DR</given-names>
            </name>
            <name name-style="western">
              <surname>Hovell</surname>
              <given-names>MF</given-names>
            </name>
            <name name-style="western">
              <surname>Flores</surname>
              <given-names>DM</given-names>
            </name>
            <name name-style="western">
              <surname>Liles</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Hofstetter</surname>
              <given-names>CR</given-names>
            </name>
            <name name-style="western">
              <surname>Zellner</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Zakarian</surname>
              <given-names>JM</given-names>
            </name>
          </person-group>
          <article-title>Adolescents validly report their exposure to secondhand smoke</article-title>
          <source>J Clin Epidemiol</source>
          <year>2010</year>
          <month>08</month>
          <volume>63</volume>
          <issue>8</issue>
          <fpage>914</fpage>
          <lpage>9</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://europepmc.org/abstract/MED/20346628"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/j.jclinepi.2009.11.015</pub-id>
          <pub-id pub-id-type="medline">20346628</pub-id>
          <pub-id pub-id-type="pii">S0895-4356(09)00391-6</pub-id>
          <pub-id pub-id-type="pmcid">PMC2895011</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref34">
        <label>34</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Bovet</surname>
              <given-names>P</given-names>
            </name>
            <name name-style="western">
              <surname>Viswanathan</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Faeh</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Warren</surname>
              <given-names>W</given-names>
            </name>
          </person-group>
          <article-title>Comparison of smoking, drinking, and marijuana use between students present or absent on the day of a school-based survey</article-title>
          <source>J Sch Health</source>
          <year>2006</year>
          <month>04</month>
          <volume>76</volume>
          <issue>4</issue>
          <fpage>133</fpage>
          <lpage>7</lpage>
          <pub-id pub-id-type="doi">10.1111/j.1746-1561.2006.00081.x</pub-id>
          <pub-id pub-id-type="medline">16536852</pub-id>
          <pub-id pub-id-type="pii">JOSH81</pub-id>
        </nlm-citation>
      </ref>
    </ref-list>
  </back>
</article>
