<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id><journal-id journal-id-type="publisher-id">publichealth</journal-id><journal-id journal-id-type="index">9</journal-id><journal-title>JMIR Public Health and Surveillance</journal-title><abbrev-journal-title>JMIR Public Health Surveill</abbrev-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">v11i1e75818</article-id><article-id pub-id-type="doi">10.2196/75818</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Using the Health Belief Model to Examine Parental Knowledge and Health Beliefs About Human Papilloma Virus (HPV) and iHPV Vaccine in Kuwait: Cross-Sectional Survey Study</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Abuzoor</surname><given-names>Ahmad</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Jabin</surname><given-names>Md Shafiqur Rahman</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Eshareturi</surname><given-names>Cyril</given-names></name><degrees>BSc, MPH, PhD</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Nesbitt</surname><given-names>Rae</given-names></name><degrees>MSc, RM</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Jonker</surname><given-names>Cor</given-names></name><degrees>Drs</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Public Health, Faculty of Health Studies, University of Bradford</institution><addr-line>Bradford</addr-line><country>United Kingdom</country></aff><aff id="aff2"><institution>Department of Medicine and Optometry, Linnaeus University</institution><addr-line>Pedalstr&#x00E5;ket 11</addr-line><addr-line>Kalmar</addr-line><country>Sweden</country></aff><aff id="aff3"><institution>Public Health Principal, London Borough of Ealing</institution><addr-line>London</addr-line><country>United Kingdom</country></aff><aff id="aff4"><institution>Department of Public Health, Faculty of Health Studies, University of Bradford</institution><addr-line>Bradford</addr-line><country>United Kingdom</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Mavragani</surname><given-names>Amaryllis</given-names></name></contrib><contrib contrib-type="editor"><name name-style="western"><surname>Sanchez</surname><given-names>Travis</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Li</surname><given-names>Kangguo</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Rancic</surname><given-names>Natasa</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Md Shafiqur Rahman Jabin, PhD, Department of Medicine and Optometry, Linnaeus University, Pedalstr&#x00E5;ket 11, Kalmar, 392 31, Sweden, 46 (0)7915 673612; <email>mdshafiqur.rahmanjabin@lnu.se</email></corresp></author-notes><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>9</day><month>12</month><year>2025</year></pub-date><volume>11</volume><elocation-id>e75818</elocation-id><history><date date-type="received"><day>11</day><month>04</month><year>2025</year></date><date date-type="rev-recd"><day>15</day><month>10</month><year>2025</year></date><date date-type="accepted"><day>20</day><month>10</month><year>2025</year></date></history><copyright-statement>&#x00A9; Ahmad Abuzoor, Md Shafiqur Rahman Jabin, Cyril Eshareturi, Rae Nesbitt, Cor Jonker. Originally published in JMIR Public Health and Surveillance (<ext-link ext-link-type="uri" xlink:href="https://publichealth.jmir.org">https://publichealth.jmir.org</ext-link>), 9.12.2025. </copyright-statement><copyright-year>2025</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 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), 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 <ext-link ext-link-type="uri" xlink:href="https://publichealth.jmir.org">https://publichealth.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://publichealth.jmir.org/2025/1/e75818"/><abstract><sec><title>Background</title><p>Cervical cancer (CC) is a major public health issue, accounting for approximately 350,000 deaths, around 7.5% of all female cancer deaths worldwide, in 2018. Human papillomavirus (HPV) is the most common virus infecting the reproductive system. Despite the high number of diagnosed cases of CC globally, prevention is possible. Vaccination against HPV is considered to be a primary prevention strategy, while cervical screening can also play a secondary prevention role.</p></sec><sec><title>Objective</title><p>This study aimed to examine the knowledge and health beliefs of parents in Kuwait towards HPV and HPV vaccination in order to prepare for the development of a national policy on CC.</p></sec><sec sec-type="methods"><title>Methods</title><p>A cross-sectional survey was conducted among a representative multistage sample of 538 parents and guardians of eligible children aged 12&#x2013;17 years in Kuwait, yielding a response rate of 89%. The survey was structured using the health belief model. Analysis showed statistically significant links between knowledge, health beliefs, concepts, and vaccination intention.</p></sec><sec sec-type="results"><title>Results</title><p>Knowledge of HPV and HPV vaccination was low in our study population: 55.6% (n=297), 24.9% (n=133), and 19.5% (n=104) for poor, fair, and good knowledge, respectively. Parents of daughters scored lower on perceived susceptibility to HPV and were more likely to have a higher perception of barriers to HPV vaccination, even though fathers were more likely to believe their daughters were at risk. HPV vaccination has the stigma of promiscuity attached, even though half of the parents are willing to accept HPV vaccination if that recommendation comes from Uhealth officials or relatives. A greater proportion of parents with female children had a low perception of the severity of HPV infection compared to those with male children (n=154, 58.6% vs n=134, 49.4%; <italic>P</italic>=.043). Around 52% (n=278) of parents perceived a high benefit of HPV vaccination. Parents with a female child had a lower perception of HPV vaccine benefits compared to parents with a male child. The findings demonstrated that parents with higher levels of education were better informed about the use of HPV vaccines in controlling the illness. Parents with female children were 1.34 times more likely to act on the recommendation for HPV vaccination compared to parents with male children after a recommendation from an official source, such as doctors or healthcare professionals.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Recommendations for a Kuwaiti vaccination policy for HPV must take into consideration different knowledge levels of parents for groups with different educational levels, as well as the stigma of promiscuity and other barriers, and various health beliefs regarding susceptibility for daughters and sons, respectively.</p></sec></abstract><kwd-group><kwd>human papillomavirus</kwd><kwd>human papillomavirus vaccine</kwd><kwd>health belief model</kwd><kwd>parents.</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Human papillomavirus (HPV), a sexually transmitted virus, accounts for 99% of cervical cancer (CC) cases worldwide [<xref ref-type="bibr" rid="ref1">1</xref>]. Also, HPV is responsible for around 70% of vulvar and vaginal cancers and 60% of penile cancers. Approximately 80% of men and women are predicted to contract HPV over their lives, typically as a result of sexual activity [<xref ref-type="bibr" rid="ref2">2</xref>]. The best prevention against HPV infection and, therefore, CC is the HPV vaccine. Getting HPV vaccination at younger ages is medically advantageous in various respects. HPV vaccines demonstrated over 99% effectiveness when given to women without previous HPV exposure [<xref ref-type="bibr" rid="ref2">2</xref>]. There are over 100 species, with 30&#x2010;40 primarily found in the human genital tract. Sero-risk strains cause cervical, vulvar, vaginal, and anal cancers [<xref ref-type="bibr" rid="ref3">3</xref>]. HPV 16 and 18 are implicated in 70% of all CC globally [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>]. The vaccine is generally given in a series of 3 doses over 6 months to individuals aged 11 to 26, demonstrating considerable efficacy in preventing CC and decreasing the incidence of several HPV-related diseases [<xref ref-type="bibr" rid="ref6">6</xref>]. In this study, a quantitative survey was conducted to evaluate parents&#x2019; knowledge and perceptions of HPV and its vaccination, aiming to determine demographic features of parents in Kuwait who have a child between the ages of 12 and 17 and parental awareness and health behaviors as measured by the health belief model (HBM), to create a comprehensive health promotion program for Kuwait.</p><p>Toward this end, the study has the following specific objectives: to determine Kuwaiti parents&#x2019; health beliefs and levels of knowledge on HPV and its vaccine. To examine health beliefs within the HBM about HPV and its vaccination. To evaluate the differences in health belief scores based on demographic characteristics and identify distinctions across different societal groups. To develop recommendations for health promotion to vaccinate against HPV. The lack of knowledge and awareness is a significant barrier to the uptake of HPV vaccination in Middle Eastern countries [<xref ref-type="bibr" rid="ref7">7</xref>]. Previous research found higher acceptance rates among better-educated parents and those living in cities, which supports this pattern. To increase vaccination uptake in these populations, targeted interventions are required to meet the unique needs and concerns of rural and less educated populations [<xref ref-type="bibr" rid="ref8">8</xref>].</p><p>Kuwait has lower rates of CC than other high-income nations like the United States and the United Kingdom, but its age-standardized death rate of 2.99 per 100,000 women is higher than the United States (2.77) and the United Kingdom (2.01). This gap in treatment and prevention highlights a significant gap in CC prevention. The rising prevalence of CC and deaths in Kuwait highlights the need for stronger preventive measures and better access to early detection and treatment services.</p><p>Mass vaccination of boys and girls could potentially eliminate HPV, the leading cause of CC, and contribute to the WHO&#x2019;s universal campaign to end CC as a public health issue. However, recent research suggests that gender-neutral programs, including HPV shots for both genders, could be more effective. Gender norms may also affect vaccine acceptability, with females potentially facing greater challenges related to vaccination [<xref ref-type="bibr" rid="ref9">9</xref>]. One study in Saudi Arabia mentioned that only 11% of parents were aware of HPV [<xref ref-type="bibr" rid="ref10">10</xref>]. Another study in Turkey found that 24.5% of mothers and 21.2% of fathers were mindful of HPV vaccination [<xref ref-type="bibr" rid="ref11">11</xref>]. In Iran, about 76% of parents were unaware of the seriousness of HPV infection. 76% of parents were unaware of the seriousness of HPV infection [<xref ref-type="bibr" rid="ref12">12</xref>]. On the other hand, a high level of HPV vaccine knowledge was the most important factor influencing HPV vaccine acceptability, as evidenced by various studies. In a study of female university students studying in health sciences in Fujian Province, the results showed that the most important factor related to the intention to obtain the HPV vaccine was high HPV vaccination knowledge [<xref ref-type="bibr" rid="ref13">13</xref>]. The most common ways of HPV vaccine promotion were hospital or school health education, as well as doctor or nurse recommendations [<xref ref-type="bibr" rid="ref14">14</xref>].</p><p>The HPV vaccine is not part of Kuwait&#x2019;s national vaccination program but is available in private medical care through the private health system [<xref ref-type="bibr" rid="ref15">15</xref>]. Recently, at the end of 2024, it became optional in the health care center government. The absence of a national cervical screening program and HPV vaccination program is a significant obstacle to preventing CC in Kuwait. One of the essential motivations for this thesis is to reduce morbidity and mortality of CC by introducing the HPV vaccine (primary prevention) in the national immunization program in Kuwait. Also, the cost of treatment for cancer is more expensive than prevention by the HPV vaccine or early diagnosis by regular CC screening. New Kuwaiti studies on children&#x2019;s vaccinations should consider parental perspectives before, during, and after HPV vaccination and integrate HPV vaccination into the national immunization program. Because vaccinations are given at a young age, parents are generally the primary decision makers, and their consent is required for immunization. Consequently, educational HPV campaigns have primarily concentrated on educating parents rather than children to enhance vaccination rates [<xref ref-type="bibr" rid="ref16">16</xref>]</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Overview</title><p>The cross-sectional descriptive questionnaire was conducted in Kuwait in May 2021, with 6 educational regions: the Asimah, Hawalli, Farwaniya, Ahmadi, Mubarak Al Kabeer, and Al-Jahra Governorates. The parents of individuals aged 12&#x2010;17 years in the intermediate stage in government schools have been chosen as eligible study participants. The sample size is calculated using a formula for estimating continuous data, as the study involves calculating knowledge and perception scores for health beliefs. The aggregate scores are measured through knowledge questions, where parents earn points for correct answers and have perception scores on a Likert scale. An 88-item questionnaire was designed for the study&#x2019;s purpose. This consisted of 53 items based on HBM, 25 questions about HPV knowledge, the HPV vaccine, and HPV-associated cancers, and one additional question, &#x201C;Would you like to participate in an interview?&#x201D;</p><p>The study aimed to measure participants&#x2019; awareness of HPV and the HPV vaccine, as well as their health beliefs and experiences about vaccination. Closed-ended questions were used for statistical analysis, with each respondent given a choice of &#x201C;True,&#x201D; &#x201C;False,&#x201D; or &#x201C;I do not know.&#x201D; A 5-point Likert scale was used to measure parental perceptions and health beliefs, according to the HBM constructs.</p><p>The sample comprised equal numbers of boys and girls, with a sex ratio of 1:1. The CI is 95%, and the power is 80%. No previous studies in the literature have found anything that could help in predicting the scores. The sample size calculation is based on the perceived barriers score, a summation score ranging from 12 to 60 points. We assume that the means are 45 and 43 in the girls&#x2019; and boys&#x2019; groups, respectively. In addition, because no previous studies were found from which we could derive an SD, we are assuming an SD of 7 for each group, resulting in a sample size of 386. The margin of error is assumed to be 10%, and 35% of the questionnaires are expected to lack responses or be unreturned [<xref ref-type="bibr" rid="ref17">17</xref>]. To compensate, the total sample size should be 573.21; rounding up, there will be 600 questionnaires&#x2014;sample size calculation based on the Open Epi formula calculation [<xref ref-type="bibr" rid="ref18">18</xref>].</p><p>A multistage sampling technique was used to select students for the study. In the first stage, 3 out of the 6 educational regions in Kuwait were chosen using simple random sampling. In the second stage, 20 schools were selected by ballot, without replacement, from the list of all schools in the region. An equal number of students (30 each) were recruited consecutively from each of the 20 schools in the final stage, for a total of 600 participants.</p><p>The questionnaire, originally developed in English, was then translated into Arabic, Kuwait&#x2019;s official language, by a licensed translation center to ensure cultural and linguistic appropriateness for the target audience. This process was rigorous, designed to build an accessible, accurate data-collection instrument for the research goals. The questionnaire was administered in 2 stages: the pilot study and the final study. The survey was developed and presented in Arabic to participants. Before the pilot test, the researcher and supervisors reviewed the face validity of each item. The instrument was validated in a pilot test with 15 parents who did not participate in the final analysis. Following the pilot test, no further revisions were made to the questionnaire. The printed questionnaires and information sheets were given to students, who took them home to their parents and, upon completion, returned them to the schools, from which they were collected. During data collection, the vaccine was only available in private health sectors at a cost during the study period. Recently, at the end of 2024, it became optional in the government health care centers.</p></sec><sec id="s2-2"><title>Data Analysis</title><p>The study used a quantitative method to analyze the knowledge and beliefs about HPV vaccines among parents in Kuwait. The data was collected through questionnaires and coded, cleaned, and verified using SPSS version 27 software (IBM Corp). The data analysis was structured using questionnaire sections aligned with the HBM constructs. Descriptive statistics were used to represent the data clearly and easily, while graphs, tables, and statistical models were used to interpret and present numerical data [<xref ref-type="bibr" rid="ref19">19</xref>].</p><p>The HBM scores were compared with demographic variables to discover patterns in responses. Descriptive and inferential statistics were used to compare trends in parental knowledge and health beliefs about the HPV vaccine. The descriptive analysis focused on central tendency and dispersion, while the statistical analysis aimed to predict behavioral effects associated with HPV vaccination uptake by finding meaningful patterns and correlations in the data.</p><p>The research question related to HBM was analyzed using a binary categorization of knowledge score (high or low) and HBM constructs based on the median. Both the Knowledge score and HBM variables were used in logistic regression to calculate the odds ratio [<xref ref-type="bibr" rid="ref20">20</xref>]. Chi-square tests and logistic regression analyses were used to evaluate the relationships between categorical variables, such as parents&#x2019; interests in vaccinating their children against HPV [<xref ref-type="bibr" rid="ref21">21</xref>]. Inferential analyses investigated the knowledge about the HPV vaccine and each HBM construct over different demographic groups. The <italic>t</italic> tests and ANOVA or Mann-Whitney <italic>U</italic> tests were applied to define mean and median scores between two or more groups.</p><p>Using unadjusted and adjusted odds ratios is shown to random imbalances. When using an adjusted method, there is a chance that the nature of the link between the covariate and outcome will be misspecified for continuous covariates. The disparities between parents, including age, sex, parent-child sex, and other participant variables, are disregarded. With these &#x201C;baseline variables&#x201D; adjusted, we can more accurately predict a response by taking these parent-to-parent differences into account. As a result, the analysis&#x2019;s statistical power is increased. In conclusion, the quantitative method was chosen because it does not involve a direct relationship with participants and can improve response and decrease bias [<xref ref-type="bibr" rid="ref22">22</xref>].</p></sec><sec id="s2-3"><title>Ethical Considerations</title><p>The study received ethical approval from the University of Bradford which had reference number (E843), the Ministry of Health in Kuwait with reference number (1345/2020), and the Ministry of Education in Kuwait with reference number (259006 and 00010918). Participants were informed about the research&#x2019;s purpose, methodology, and confidentiality policy, ensuring anonymity and privacy. The researcher prioritized neutrality and objectivity for a credible data collection process. Participants signed informed consent forms, which explained the study&#x2019;s purpose, methodology, and confidentiality policy. Parents provided informed consent for the pilot study. The questionnaire provided an explanation of the study&#x2019;s purpose, methodology, and confidentiality policy. Participants indicated their consent by returning completed questionnaires, which were treated as implied consent. Data will be preserved for five years and archived within the University of Bradford, and no medical experiments, medicines, biopsies, or other interventional testing will be conducted in the future.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Overview</title><p>The researcher contacted 600 eligible parents and 534 parents and guardians, with an 89% response rate. No missing data were reported, and all 534 individuals were included in the final analytic sample. <xref ref-type="fig" rid="figure1">Figure 1</xref> shows a flow diagram for the research study recruitment process.</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>A flow diagram for research study recruitment process.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="publichealth_v11i1e75818_fig01.png"/></fig></sec><sec id="s3-2"><title>Demographic Characteristics</title><p>The study&#x2019;s data quality in Kuwait indicates that the participants&#x2019; age is similar to the general population, with a mean age of 42.78 years (SD 5.71; range, 24&#x2010;60 y), identical to the average Kuwaiti age for marriage. The HPV vaccine is given to children aged 12&#x2010;16 years, considered the Intermediate School period in Kuwait. The mean age of children surveyed was 13.45 years (SD 1.23, range 12&#x2010;17 y), with almost as many boys as girls. Females filled in survey forms twice as many times as fathers, possibly due to the mother&#x2019;s higher education and refusal to allow the father to fill in the form.</p><p>The employed versus unemployed ratios in Kuwait are similar to those of the general population, with many Kuwaitis participating. Almost half of the sampled population holds a Bachelor&#x2019;s degree, similar to the general population. However, the females had higher education compared to males, which might be because educated females do not let the child&#x2019;s father fill out the forms. Nearly half of the participants (n=247, 46.4%) have a monthly family income of 700-1500 KD. The data represent the Kuwaiti population well in all aspects, but there is evidence that females are slightly more educated than the general population, resulting in more participation in the survey.</p></sec><sec id="s3-3"><title>Previous Knowledge of HPV and Vaccine Among the Study Parents</title><p>The study found low knowledge of HPV and its vaccine among the population, with significant associations between demographic characteristics such as nationality, monthly family income, and educational level. Non-Kuwaiti parents of eligible children or adolescents had three times higher HPV knowledge compared to Kuwaitis. Parents with monthly family incomes of between US $2260 and US $4,800 were more likely to have a better understanding than those with lower incomes. Parents of eligible children with advanced degrees were 3.6 times more likely to have higher HPV knowledge.</p></sec><sec id="s3-4"><title>Health Belief Concepts</title><p>HBM builds on behavioral and psychological models that elaborate on two primary motivations for health behavior: (1) wanting to avoid illness or to recover from disease if already ill, and (2) believing that an action in the health world will prevent or cure illness. In most cases, a person makes a choice based on how they think about the advantages and disadvantages of health behavior.</p></sec><sec id="s3-5"><title>Perceived Susceptibility</title><p>The mean score of perceived susceptibility was 29.06 (SD 4.25), with scores ranging from 18.00 to 46.00. Female participants (n=363) outnumbered male participants (n=171) in the analysis (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p><p>Out of 534 participants, 12.0% (n=64) believed their adolescent sons would get anal cancer in their lifetime, compared to 12.9% (n=69) individuals who believed that their daughters would have CC. More men, compared to women, believed that their daughters were at risk of HPV during their lifetime (n=53, 31.0% vs n=66, 18.2%; <italic>P</italic>=.001; <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>)<italic>.</italic></p><p>Statistically significant relationships were observed between perceived susceptibility to HPV infection and a number of sociodemographic characteristics of the study participants.</p><p><xref ref-type="table" rid="table1">Table 1</xref> showed a slightly greater proportion of participants with a bachelor&#x2019;s degree had an increased perception of susceptibility to HPV compared to their counterparts of various educational levels (<italic>P</italic>&#x003C;.001).</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Comparison of levels of perceived susceptibility (high vs low) versus demographic characteristics.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics</td><td align="left" valign="bottom">Low (n=244)</td><td align="left" valign="bottom">High (n=290)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Sex (Female), n (%)</td><td align="left" valign="top">140 (57.4)</td><td align="left" valign="top">148 (51.0)</td><td align="left" valign="top">.17</td></tr><tr><td align="left" valign="top">Parent sex (Male), n (%)</td><td align="left" valign="top">76 (31.1)</td><td align="left" valign="top">95 (32.8)</td><td align="left" valign="top">.76</td></tr><tr><td align="left" valign="top">Child age, mean (SD)</td><td align="left" valign="top">013.55 (1.27)</td><td align="left" valign="top">013.36 (1.18)</td><td align="left" valign="top">.06</td></tr><tr><td align="left" valign="top">Parent age, mean (SD)</td><td align="left" valign="top">43.07 (6.35)</td><td align="left" valign="top">42.54 (5.12)</td><td align="left" valign="top">.29</td></tr><tr><td align="left" valign="top">Income, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table1fn1">a, b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Less than 700 KD</td><td align="left" valign="top">41 (16.8)</td><td align="left" valign="top">30 (10.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;700&#x2010;1500 KD</td><td align="left" valign="top">132 (54.1)</td><td align="left" valign="top">117 (40.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;More than 1500 KD</td><td align="left" valign="top">71 (29.1)</td><td align="left" valign="top">143 (49.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Marital status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.005<sup><xref ref-type="table-fn" rid="table1fn1">a, b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Single</td><td align="left" valign="top">11 (4.5)</td><td align="left" valign="top">5 (1.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">189 (77.5)</td><td align="left" valign="top">257 (88.6)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">36 (14.8)</td><td align="left" valign="top">25 (8.6)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">8 (3.3)</td><td align="left" valign="top">3 (1.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment (unemployment), n (%)</td><td align="left" valign="top">28 (011.50)</td><td align="left" valign="top">31 (10.7)</td><td align="left" valign="top">.88</td></tr><tr><td align="left" valign="top">&#x2003;Nationality (non-Kuwait), n (%)</td><td align="left" valign="top">18 (7.4)</td><td align="left" valign="top">21 (7.2)</td><td align="left" valign="top">&#x2265;.99</td></tr><tr><td align="left" valign="top">Education, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table1fn1">a, b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Primary education</td><td align="left" valign="top">9 (3.7)</td><td align="left" valign="top">2 (0.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">52 (21.3)</td><td align="left" valign="top">31 (10.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">53 (21.7)</td><td align="left" valign="top">64 (22.1)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">122 (50.0)</td><td align="left" valign="top">152 (52.4)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Master&#x2019;s or PhD</td><td align="left" valign="top">8 (3.3)</td><td align="left" valign="top">41 (14.1)</td><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>Indicates statistical significance.</p></fn><fn id="table1fn2"><p><sup>b</sup>indicates the <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn></table-wrap-foot></table-wrap><p><xref ref-type="table" rid="table2">Table 2</xref> shows unadjusted and adjusted results for perceived susceptibility to HPV, categorized by a median score from our logistic regression models. In our unadjusted logistic regression models, participants&#x2019; educational level and monthly family income showed a statistically significant and positive correlation with perceived susceptibility to HPV.</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Logistic regression models illustrate the relationship between participants&#x2019; characteristics and their perceived susceptibility to human papillomavirus (HPV) infection among adolescents. Adjusted odds ratios are corrected for the other variables in the model and used for multivariate analysis, whereas unadjusted odds ratios are used for univariate analysis.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics</td><td align="left" valign="bottom" colspan="4">Perceived susceptibility to infection of HPV</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Unadjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td><td align="left" valign="top">Adjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Age</td><td align="left" valign="top">0.880 (0.760&#x2010;1.010)</td><td align="left" valign="top">.06</td><td align="left" valign="top">0.870 (0.750&#x2010;1.020)</td><td align="left" valign="top">.82</td></tr><tr><td align="left" valign="top" colspan="5">Child adolescent sex</td></tr><tr><td align="left" valign="top">&#x2003;Male (reference)</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">0.770 (0.550&#x2010;1.090)</td><td align="left" valign="top">.14</td><td align="left" valign="top">0.620 (0.420&#x2010;0.910)</td><td align="left" valign="top">.03<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td></tr><tr><td align="left" valign="top" colspan="5">Parent characteristics</td></tr><tr><td align="left" valign="top">&#x2003;Age of respondent</td><td align="left" valign="top">0.98 (0.95&#x2010;1.01)</td><td align="left" valign="top">.29</td><td align="left" valign="top">0.99 (0.97&#x2010;1.03)</td><td align="left" valign="top">.55</td></tr><tr><td align="left" valign="top" colspan="5">&#x2003;Parent sex</td></tr><tr><td align="left" valign="top">&#x2003;&#x2003;Female (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;&#x2003;Male</td><td align="left" valign="top">1.080 (0.750&#x2010;1.550)</td><td align="left" valign="top">.69</td><td align="left" valign="top">0.96 (0.62&#x2010;1.50)</td><td align="left" valign="top">.85</td></tr><tr><td align="left" valign="top" colspan="5">Nationality</td></tr><tr><td align="left" valign="top">&#x2003;Kuwaiti (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Non-Kuwaiti</td><td align="left" valign="top">0.98 (0.51&#x2010;1.90)</td><td align="left" valign="top">.95</td><td align="left" valign="top">0.97 (0.48&#x2010;1.99)</td><td align="left" valign="top">.94</td></tr><tr><td align="left" valign="top" colspan="5">Education</td></tr><tr><td align="left" valign="top">&#x2003;Primary education (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">2.68 (0.64&#x2010;18.35)</td><td align="left" valign="top">.23</td><td align="left" valign="top">2.73 (0.57&#x2010;20.10)</td><td align="left" valign="bottom">.25</td></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">5.43 (1.33&#x2010;36.67)</td><td align="left" valign="top">.04</td><td align="left" valign="top">6.06 (1.27&#x2010;44.69)</td><td align="left" valign="bottom">.04<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">5.61 (1.41&#x2010;37.22)</td><td align="left" valign="top">.03</td><td align="left" valign="top">5.78 (1.23&#x2010;42.32)</td><td align="left" valign="bottom">.04<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">23.06 (4.88&#x2010;171.98)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="left" valign="top">21.31 (3.77&#x2010;178.35)</td><td align="left" valign="bottom">.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td></tr><tr><td align="left" valign="top" colspan="5">Monthly family income</td></tr><tr><td align="left" valign="top">&#x2003;Less than 700 KD (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;700&#x2010;1500 KD</td><td align="left" valign="top">1.21 (0.71&#x2010;2.08)</td><td align="left" valign="top">.48</td><td align="left" valign="top">1.04 (0.58&#x2010;1.89)</td><td align="left" valign="top">.62</td></tr><tr><td align="left" valign="top">&#x2003;More than 1500 KD</td><td align="left" valign="top">2.75 (1.59&#x2010;4.80)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="left" valign="top">1.73 (0.92&#x2010;3.26)</td><td align="left" valign="top">.91</td></tr><tr><td align="left" valign="top" colspan="5">Employment status</td></tr><tr><td align="left" valign="top">&#x2003;Employment (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Unemployment</td><td align="left" valign="top">0.920 (0.540&#x2010;1.590)</td><td align="left" valign="top">.77</td><td align="left" valign="top">1.780 (0.880&#x2010;3.700)</td><td align="left" valign="top">.74</td></tr><tr><td align="left" valign="top" colspan="5">Marital status</td></tr><tr><td align="left" valign="top">&#x2003;Single (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">2.99 (1.07&#x2010;9.63)</td><td align="left" valign="top">.05</td><td align="left" valign="top">2.06 (0.68&#x2010;7.05)</td><td align="left" valign="top">.22</td></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">1.53 (0.49&#x2010;5.35)</td><td align="left" valign="top">.48</td><td align="left" valign="top">1.35 (0.40&#x2010;5.05)</td><td align="left" valign="top">.64</td></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">0.83 (0.14&#x2010;4.43)</td><td align="left" valign="top">.82</td><td align="left" valign="top">0.42 (0.06&#x2010;2.49)</td><td align="left" valign="top">.34</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>Not applicable.</p></fn><fn id="table2fn2"><p><sup>b</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p>Approximately half of the parents reported that HPV and its related diseases might affect their children. After adjusting for other parent and child or adolescent factors, significant associations were observed between education level, the child&#x2019;s gender, and perceived susceptibility to HPV. Additionally, parents of a girl child did not perceive vulnerability (susceptibility) to HPV more readily than parents of a boy child.</p></sec><sec id="s3-6"><title>Perceived Severity</title><p><xref ref-type="supplementary-material" rid="app3">Multimedia Appendix 3</xref> provides descriptive statistics for the overall perceived severity score of HPV across child participants, classified by gender. The study had more female (n=363) than male (n=171) participants. The perceived severity score of men and fathers was greater (mean 31.05, SD 9.53) than that of mothers and female guardians (mean 30.17, SD 9.24). The overall median perceived severity score for HPV was 30.46 (SD 9.34), ranging from 9.00 to 45.00.</p><p>A total of 27.2% (n=145) parents believed that infection with HPV might lead to morbidity (<xref ref-type="supplementary-material" rid="app4">Multimedia Appendix 4</xref>). Although male and female participants generally held similar perceptions of HPV severity, many significant differences were observed. A higher percentage of men, compared to women, believed that HPV may result in serious health complications for their children. Moreover, a more significant number of men (n=88, 51.50%), compared to women (n=151, 41.60%; <italic>P</italic>=.04) believed that infection with HPV could have a negative impact on their children&#x2019;s education, interruption of life (fathers: n=99, 57.90% vs mothers: n=165, 45.50%; <italic>P</italic>=.01), or impede their girls' chances of marriage (fathers: n=94, 55.00% vs mothers: n=144, 39.70%; <italic>P</italic>=.001).</p><p>We found statistically significant relationships between the perceived severity of HPV infection and a number of baseline sociodemographic characteristics of the study participants (<xref ref-type="table" rid="table3">Table 3</xref>). A more significant proportion of parents with female children (n=154, 58.6%) compared to male children (n=134, 49.4%; <italic>P</italic>=.04) had a low perception of the severity of HPV infection. Our analysis showed a significant percentage difference in perceived HPV infection severity among respondents of non-Kuwaiti nationality (low severity: n=9, 3.4% vs high severity: n=30, 11.1%; <italic>P</italic>=.001).</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Comparisons of levels of perceived severity versus demographic characteristics.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics</td><td align="left" valign="bottom">Low (n=263)</td><td align="left" valign="bottom">High (n=271)</td><td align="left" valign="bottom"><italic>P</italic> value<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">Sex (Female), n (%)</td><td align="left" valign="top">154 (58.6)</td><td align="left" valign="top">134 (49.4)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table3fn1">b</xref></sup></td></tr><tr><td align="left" valign="top">Sex of parent (Male), n (%)</td><td align="left" valign="top">75 (28.5)</td><td align="left" valign="top">96 (35.4)</td><td align="left" valign="top">.11</td></tr><tr><td align="left" valign="top">Child age, mean (SD)</td><td align="left" valign="top">013.42 (1.19)</td><td align="left" valign="top">013.47 (1.26)</td><td align="left" valign="top">.66</td></tr><tr><td align="left" valign="top">Parents&#x2019; age, mean (SD)</td><td align="left" valign="top">43.47 (5.52)</td><td align="left" valign="top">042.11 (5.82)</td><td align="left" valign="top">.006<sup><xref ref-type="table-fn" rid="table3fn1">b</xref></sup></td></tr><tr><td align="left" valign="top" colspan="2">Income monthly, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.61</td></tr><tr><td align="left" valign="top">&#x2003;Under 700 KD</td><td align="left" valign="top">37 (14.1)</td><td align="left" valign="top">34 (12.5)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;700&#x2010;1500 KD</td><td align="left" valign="top">117 (44.5)</td><td align="left" valign="top">132 (48.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;More than 1500 KD</td><td align="left" valign="top">109 (41.4)</td><td align="left" valign="top">105 (38.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top" colspan="2">Marital status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.32</td></tr><tr><td align="left" valign="top">&#x2003;Single</td><td align="left" valign="top">6 (2.30)</td><td align="left" valign="top">10 (3.70)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">215 (81.7)</td><td align="left" valign="top">231 (85.2)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">36 (13.7)</td><td align="left" valign="top">25 (9.2)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">6 (2.30)</td><td align="left" valign="top">5 (1.80)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Employment (unemployment), n (%)</td><td align="left" valign="top">30 (11.4)</td><td align="left" valign="top">29 (10.7)</td><td align="left" valign="top">.90</td></tr><tr><td align="left" valign="top">Nationality (non-Kuwait), n (%)</td><td align="left" valign="top">9 (3.4)</td><td align="left" valign="top">30 (11.1)</td><td align="left" valign="top">.001<sup><xref ref-type="table-fn" rid="table3fn1">b</xref></sup></td></tr><tr><td align="left" valign="top">Education, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.054<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Primary education</td><td align="left" valign="top">9 (3.4)</td><td align="left" valign="top">2 (0.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">39 (14.8)</td><td align="left" valign="top">44 (16.2)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">59 (22.4)</td><td align="left" valign="top">58 (21.4)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">139 (52.9)</td><td align="left" valign="top">135 (49.8)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">17 (6.5)</td><td align="left" valign="top">32 (11.8)</td><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>indicates the <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn><fn id="table3fn2"><p><sup>b</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p><xref ref-type="table" rid="table4">Table 4</xref> shows unadjusted and adjusted results for the perceived severity of HPV, categorized by median severity score from our logistic regression models. In the unadjusted logistic regressions, child sex (female), age, education, and nationality were statistically associated with perceived HPV severity. Parents of a female child had 29% less empathy for the severity of HPV than parents of a male child (OR: 0.69, 95% CI 0.49&#x2010;0.97, <italic>P</italic>=.04). For each year of age increase, participants perceived 4% less severe HPV infection (OR: 0.96, 95% CI 0.93&#x2010;0.99, <italic>P</italic>=.006).</p><table-wrap id="t4" position="float"><label>Table 4.</label><caption><p>The association between the characteristics of participants and their perceived severity of infection of human papillomavirus (HPV) among adolescents is illustrated by logistic regression models.</p></caption><table id="table4" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics of adolescents</td><td align="left" valign="bottom" colspan="4">Perceived severity of the infection of HPV</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Unadjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td><td align="left" valign="top">Adjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Child age</td><td align="left" valign="top">1.03 (0.89&#x2010;1.19)</td><td align="left" valign="top">.66</td><td align="left" valign="top">1.09 (0.94&#x2010;1.27)</td><td align="left" valign="top">.23</td></tr><tr><td align="left" valign="top" colspan="5">Child adolescent sex</td></tr><tr><td align="left" valign="top">&#x2003;Male (reference)</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table4fn1">a</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">0.69 (0.49&#x2010;0.97)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td><td align="left" valign="top">0.67 (0.46&#x2010;0.98)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Parent characteristics</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Age of respondent</td><td align="left" valign="top">0.96 (0.93&#x2010;0.99)</td><td align="left" valign="top">.006<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td><td align="left" valign="top">0.95 (0.92&#x2010;0.98)</td><td align="left" valign="top">.004</td></tr><tr><td align="left" valign="top">&#x2003;Parent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;&#x2003;Female (Reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;&#x2003;Male</td><td align="left" valign="top">1.38 (0.96&#x2010;1.99)</td><td align="left" valign="top">.09</td><td align="left" valign="top">1.30 (0.85&#x2010;1.99)</td><td align="left" valign="top">.23</td></tr><tr><td align="left" valign="top">Nationality</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Kuwaiti (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Non-Kuwaiti</td><td align="left" valign="top">3.51 (1.70&#x2010;7.99)</td><td align="left" valign="top">.001<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td><td align="left" valign="top">3.61 (1.67&#x2010;8.52)</td><td align="left" valign="top">.002<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Education</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Primary education (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">5.08 (1.22&#x2010;34.65)</td><td align="left" valign="top">.05<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td><td align="left" valign="top">3.89 (0.82&#x2010;28.44)</td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">4.42 (1.08&#x2010;29.84)</td><td align="left" valign="top">.06</td><td align="left" valign="top">3.74 (0.81&#x2010;27.09)</td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">4.37 (1.10&#x2010;29.01)</td><td align="left" valign="top">.06</td><td align="left" valign="top">4.28 (0.94&#x2010;30.63)</td><td align="left" valign="top">.09</td></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">8.47 (1.92&#x2010;59.87)</td><td align="left" valign="top">.01<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td><td align="left" valign="top">7.89 (1.54&#x2010;61.01)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table4fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Monthly household income</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Less than US $2260</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Income US $2260-4800</td><td align="left" valign="top">1.23 (0.72&#x2010;2.09)</td><td align="left" valign="top">.45</td><td align="left" valign="top">1.32 (0.74&#x2010;2.38)</td><td align="left" valign="top">.35</td></tr><tr><td align="left" valign="top">&#x2003;More than US $4800</td><td align="left" valign="top">1.05 (0.61&#x2010;1.79)</td><td align="left" valign="top">.86</td><td align="left" valign="top">0.97 (0.52&#x2010;1.81)</td><td align="left" valign="top">.93</td></tr><tr><td align="left" valign="top">Employment status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment (Reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Unemployment</td><td align="left" valign="top">0.93 (0.540&#x2010;1.60)</td><td align="left" valign="top">.79</td><td align="left" valign="top">1.14 (0.59&#x2010;2.21)</td><td align="left" valign="top">.69</td></tr><tr><td align="left" valign="top">Marital status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Single (Reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">0.65 (0.22&#x2010;1.77)</td><td align="left" valign="top">.40</td><td align="left" valign="top">0.64 (0.20&#x2010;1.87)</td><td align="left" valign="top">.42</td></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">0.42 (0.13&#x2010;1.27)</td><td align="left" valign="top">.13</td><td align="left" valign="top">0.44 (0.12&#x2010;1.44)</td><td align="left" valign="top">.18</td></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">0.50 (0.09&#x2010;2.36)</td><td align="left" valign="top">.38</td><td align="left" valign="top">0.53 (0.10&#x2010;2.65)</td><td align="left" valign="top">.44</td></tr></tbody></table><table-wrap-foot><fn id="table4fn1"><p><sup>a</sup>Not appilcable.</p></fn><fn id="table4fn2"><p><sup>b</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p>In total, 50% (n=267) of the children&#x2019;s parents had a high perception of HPV severity. A greater proportion of parents with female children had a low perception of the severity of HPV infection (n=154, 58.6% vs n=134 , 49.4%; <italic>P</italic>=.04), compared to those with male children. We also found that Kuwaiti nationals, parents of male children, and parents of younger children had significantly higher odds of reporting high perceived severity of HPV. This suggests that these groups may have more awareness or concern about the potential consequences of HPV infection.</p></sec><sec id="s3-7"><title>Perceived Benefits</title><p><xref ref-type="supplementary-material" rid="app5">Multimedia Appendix 5</xref> presents the descriptive statistics for the perceived benefit scores of HPV vaccination among child parents, categorized by gender. The analysis includes more female participants (n=363) than male participants (n=171). Fathers and male guardians had a slightly higher mean of the total benefit score (mean 28.96, SD 8.57) than mothers and female guardians (mean 27.41, SD 8.01). These data reveal a slight difference in perceptions of HPV vaccine benefits for male and female guardians. In the sample, 51% of parents recognized HPV vaccination as a significant means for preventing cervical and anal cancer. The overall mean perceived score of HPV was mean 27.9 (SD 8.22, range: 8.00&#x2010;40.00).</p><p><xref ref-type="supplementary-material" rid="app6">Multimedia Appendix 6</xref> showed that more than half of the parents believed that preventing cancer diseases by HPV vaccination is better than curing them, 51.8% (n=282). However, less than half (44.4%) believed the HPV vaccine is successful in preventing HPV infection for their daughters or sons. Some items of the perceived benefit of the HPV vaccine differed by parent sex. Differences were also noted in comparison to male parents. For instance, a smaller percentage of female parents agree that an HPV vaccine for their sons would help them stop worrying about anal and penile cancer compared to their male counterparts. Furthermore, a much smaller proportion of female parents felt the HPV vaccine was safe and prevented disease compared to their male counterparts.</p><p>The researcher found statistically significant relationships between the perceived benefit of the HPV vaccine or vaccination and a number of baseline sociodemographic characteristics of the study participants (refer to <xref ref-type="table" rid="table5">Table 5</xref>). The perceived benefit of the HPV vaccine or vaccination differed according to parents&#x2019; sex and level of education. There was a greater proportion of male respondents with a high perception of HPV vaccine or vaccination benefits than females (n=69, 26.8% vs n=102, 36.8%; <italic>P</italic>=.02). However, there were more respondents with a bachelor&#x2019;s degree among those in the group with a high perception of the benefits of the HPV vaccine compared with those with a lower perception of benefit (n=133, 51.8% vs n=141, 50.9%; <italic>P</italic>=.02).</p><table-wrap id="t5" position="float"><label>Table 5.</label><caption><p>Comparison between perceived benefits of HPV vaccination and demographic characteristics.</p></caption><table id="table5" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics</td><td align="left" valign="bottom">Low (n=257)</td><td align="left" valign="bottom">High (n=277)</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Sex (Female), n (%)</td><td align="left" valign="top">148 (57.6)</td><td align="left" valign="top">140 (50.5)</td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top">Parent sex (Male), n (%)</td><td align="left" valign="top">69 (26.8)</td><td align="left" valign="top">102 (36.8)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table5fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">Child age, mean (SD)</td><td align="left" valign="top">13.42 (01.20)</td><td align="left" valign="top">13.47 (01.25)</td><td align="left" valign="top">.59</td></tr><tr><td align="left" valign="top">Parent age, mean (SD)</td><td align="left" valign="top">42.34 (05.27)</td><td align="left" valign="top">43.19 (6.08)</td><td align="left" valign="top">.09</td></tr><tr><td align="left" valign="top" colspan="2">Income, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.07</td></tr><tr><td align="left" valign="top">&#x2003;Less than US $2260</td><td align="left" valign="top">43 (16.7)</td><td align="left" valign="top">28 (10.1)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;US $2260&#x2010;4800</td><td align="left" valign="top">118 (45.9)</td><td align="left" valign="top">131 (47.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;More than US $4800</td><td align="left" valign="top">96 (37.4)</td><td align="left" valign="top">118 (42.6)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top" colspan="2">Marital status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.21</td></tr><tr><td align="left" valign="top">&#x2003;Single</td><td align="left" valign="top">4 (1.6)</td><td align="left" valign="top">12 (4.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">214 (83.3)</td><td align="left" valign="top">232 (83.8)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">33 (12.8)</td><td align="left" valign="top">28 (10.1)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">6 (2.30)</td><td align="left" valign="top">5 (1.80)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment unemployment, n (%)</td><td align="left" valign="top">27 (10.50)</td><td align="left" valign="top">32 (11.60)</td><td align="left" valign="top">.80</td></tr><tr><td align="left" valign="top">&#x2003;Nationality (non-Kuwait), n (%)</td><td align="left" valign="top">16 (6.20)</td><td align="left" valign="top">23 (8.30)</td><td align="left" valign="top">.45</td></tr><tr><td align="left" valign="top">Education, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table5fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Primary education</td><td align="left" valign="top">9 (3.5)</td><td align="left" valign="top">2 (0.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">40 (15.6)</td><td align="left" valign="top">43 (15.5)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">60 (23.3)</td><td align="left" valign="top">57 (20.6)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">133 (51.8)</td><td align="left" valign="top">141 (50.9)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Master&#x2019;s or PhD</td><td align="left" valign="top">15 (5.8)</td><td align="left" valign="top">34 (12.3)</td><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table5fn1"><p><sup>a</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p>An independent <italic>t</italic> test&#x2014;Test of Levene&#x2019;s (<italic>P</italic> &#x003E;.05) was not significant; hence, equal variances are assumed for the independent <italic>t</italic> test&#x2014;The results, categorized by gender based on total perceived benefit scores, were presented in <xref ref-type="supplementary-material" rid="app7">Multimedia Appendix 7</xref>. This test has a <italic>P</italic> value less than the &#x03B1;-value of .05, so there is sufficient data to infer a significant difference between the benefit scores of male (fathers and male guardians) and female (mothers and female guardians) individuals (<italic>t</italic><sub>532</sub>=-2.045; <italic>P</italic>=.04).</p><p><xref ref-type="table" rid="table6">Table 6</xref> demonstrates unadjusted and adjusted results for the perceived benefit of HPV, categorized by median benefit score from logistic regression models.</p><table-wrap id="t6" position="float"><label>Table 6.</label><caption><p>Logistic regression models illustrate the relationship between participants&#x2019; characteristics and their perceived benefit from human papillomavirus (HPV) infection among adolescents.</p></caption><table id="table6" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics of adolescents</td><td align="left" valign="bottom" colspan="4">Perceived benefit of HPV vaccine or vaccination</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Unadjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td><td align="left" valign="top">Adjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Child age</td><td align="left" valign="top">1.04 (0.90&#x2010;1.19)</td><td align="left" valign="top">.59</td><td align="left" valign="top">1.04 (0.89&#x2010;01.21)</td><td align="left" valign="top">.57</td></tr><tr><td align="left" valign="top">Child or adolescent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Male (reference)</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table6fn1">a</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">0.75 (0.53&#x2010;1.06)</td><td align="left" valign="top">.10</td><td align="left" valign="top">0.68 (0.47&#x2010;0.99)</td><td align="left" valign="top">.04</td></tr><tr><td align="left" valign="top">Parent characteristics</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Age of respondent</td><td align="left" valign="top">1.03 (0.99&#x2010;1.06)</td><td align="left" valign="top">.09</td><td align="left" valign="top">1.02 (0.99&#x2010;1.06)</td><td align="left" valign="top">.17</td></tr><tr><td align="left" valign="top">Parent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Female (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Male</td><td align="left" valign="top">1.59 (1.100&#x2010;02.30)</td><td align="left" valign="top">.01</td><td align="left" valign="top">1.37 (0.89&#x2010;02.09)</td><td align="left" valign="top">.15</td></tr><tr><td align="left" valign="top">Nationality</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Kuwaiti (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Non-Kuwaiti</td><td align="left" valign="top">1.36 (0.71&#x2010;2.69)</td><td align="left" valign="top">.36</td><td align="left" valign="top">1.52 (0.75&#x2010;3.15)</td><td align="left" valign="top">.25</td></tr><tr><td align="left" valign="top">Education</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Primary education (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">4.84 (1.16&#x2010;33.01)</td><td align="left" valign="top">.05</td><td align="left" valign="top">3.50 (0.73&#x2010;25.84)</td><td align="left" valign="top">.15</td></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">4.28 (1.05&#x2010;28.84)</td><td align="left" valign="top">.07</td><td align="left" valign="top">4.41 (0.93&#x2010;32.55)</td><td align="left" valign="top">.09</td></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">4.77 (1.20&#x2010;31.67)</td><td align="left" valign="top">.05</td><td align="left" valign="top">4.96 (1.06&#x2010;36.28)</td><td align="left" valign="top">.06</td></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">10.20 (2.29&#x2010;72.48)</td><td align="left" valign="top">.006</td><td align="left" valign="top">9.47 (1.80&#x2010;74.75)</td><td align="left" valign="top">.01</td></tr><tr><td align="left" valign="top">Monthly family income</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Less than 700 KD (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;700&#x2010;1500 KD</td><td align="left" valign="top">1.70 (1.00&#x2010;2.94)</td><td align="left" valign="top">.05</td><td align="left" valign="top">1.66 (0.92&#x2010;3.03)</td><td align="left" valign="top">.09</td></tr><tr><td align="left" valign="top">&#x2003;More than 1500 KD</td><td align="left" valign="top">1.89 (1.09&#x2010;3.29)</td><td align="left" valign="top">.02</td><td align="left" valign="top">1.65 (0.88&#x2010;3.13)</td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top">Employment status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Unemployment</td><td align="left" valign="top">1.11 (0.65&#x2010;01.93)</td><td align="left" valign="top">.70</td><td align="left" valign="top">01.41 (0.72&#x2010;2.78)</td><td align="left" valign="top">.32</td></tr><tr><td align="left" valign="top">Marital status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Single (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">0.36 (0.10&#x2010;1.06)</td><td align="left" valign="top">.08</td><td align="left" valign="top">0.27 (0.07&#x2010;0.84)</td><td align="left" valign="top">.03</td></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">0.28 (0.07&#x2010;0.91)</td><td align="left" valign="top">.05</td><td align="left" valign="top">0.256 (0.06&#x2010;0.89)</td><td align="left" valign="top">.04</td></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">0.28 (0.05&#x2010;1.38)</td><td align="left" valign="top">.13</td><td align="left" valign="top">0.17 (0.03&#x2010;0.89)</td><td align="left" valign="top">.04</td></tr></tbody></table><table-wrap-foot><fn id="table6fn1"><p><sup>a</sup>Not applicable.</p></fn></table-wrap-foot></table-wrap><p>Approximately 52.0% (n=278) of parents perceived a high benefit of HPV vaccination. Parents with a female child demonstrated a lesser perception of the benefits of the HPV vaccine compared to those with a male child. Additionally, higher levels of parental education were strongly associated with greater perceived benefits.</p></sec><sec id="s3-8"><title>Perceived Barriers</title><p>About 72.0% (n=388) of parents perceived that there are barriers to HPV vaccination for cervical and anal cancer prevention. The mean score for the perceived barrier to HPV vaccination was 37.13, SD 8.22 (range: 12.00&#x2010;60.00; <xref ref-type="supplementary-material" rid="app8">Multimedia Appendix 8</xref>).</p><p>In <xref ref-type="supplementary-material" rid="app9">Multimedia Appendix 9</xref>, up to 20% of parents who completed the survey believed that the stigma associated with receiving HPV vaccination and the perception that receiving the HPV vaccine is synonymous with promiscuity, according to the Kuwaiti culture, are key barriers to the uptake of the vaccine. Also, only 13%&#x2010;28% of participants acknowledged restrictions from their religion, lack of vaccine availability in public hospitals, affordability, unwillingness to pay for the vaccines, or fear of needles on the part of children as barriers to HPV vaccine uptake. There were no statistically significant differences in responses between male and female participants on these statements. However, they differed on the need for reassurance about the effectiveness and safety of the HPV vaccine. More males thought they needed reassurance about effectiveness (<italic>P</italic>=.006) and safety (<italic>P</italic>=.001).</p><p>Perceived barriers to the HPV vaccine or vaccination differed by sex of child, employment status, monthly family income, and level of education (see <xref ref-type="table" rid="table7">Table 7</xref>). We found a more significant proportion of parents with female children with the higher perception of barriers to the HPV vaccine or vaccination than those with male children (n=67, 45.9 vs n=221, 57.0; <italic>P</italic>=.03). Similar trends were observed for family income; monthly family income significantly differed between participants with high versus low perceived barriers to HPV infection (<italic>P</italic>&#x003C;.01). Since the <italic>P</italic> value was more significant than the significance level <inline-formula><mml:math id="ieqn1"><mml:mi>&#x03B1;</mml:mi></mml:math></inline-formula>-value of 0.05, it can be concluded that there is no statistically significant difference in the barrier scores between male participants (fathers and male guardians) and female participants (mothers and female guardians). The results of the test were <italic>t</italic><sub>532</sub>=&#x2013;1.362; <italic>P</italic>=.17. This suggests that gender does not significantly influence the perceived barriers related to HPV vaccination.</p><table-wrap id="t7" position="float"><label>Table 7.</label><caption><p>Comparison between perceived barriers and demographic characteristics.</p></caption><table id="table7" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics</td><td align="left" valign="bottom">Low (n=146)</td><td align="left" valign="bottom">High (n=388)</td><td align="left" valign="bottom"><italic>P</italic> value<sup><xref ref-type="table-fn" rid="table7fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">Sex (Female), n (%)</td><td align="left" valign="top">67 (45.9)</td><td align="left" valign="top">221 (57.0)</td><td align="left" valign="top">.03<sup><xref ref-type="table-fn" rid="table7fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Parent sex (Male), n (%)</td><td align="left" valign="top">38 (26.0)</td><td align="left" valign="top">133 (34.3)</td><td align="left" valign="top">.09</td></tr><tr><td align="left" valign="top">Child age, mean (SD)</td><td align="left" valign="top">013.48 (1.21)</td><td align="left" valign="top">013.43 (1.230)</td><td align="left" valign="top">.70</td></tr><tr><td align="left" valign="top">Parent age, mean (SD)</td><td align="left" valign="top">64 (6.45)</td><td align="left" valign="top">84 (05.42)</td><td align="left" valign="top">.72</td></tr><tr><td align="left" valign="top" colspan="3">Monthly family income, n (%)</td><td align="left" valign="top">.01<sup><xref ref-type="table-fn" rid="table7fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Under 700 KD</td><td align="left" valign="top">28 (19.2)</td><td align="left" valign="top">43 (11.1)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;700&#x2010;1500 KD</td><td align="left" valign="top">71 (48.6)</td><td align="left" valign="top">178 (45.9)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;More than 1500 KD</td><td align="left" valign="top">47 (32.2)</td><td align="left" valign="top">167 (43.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top" colspan="3">Marital status, n (%)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table7fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Single</td><td align="left" valign="top">12 (8.2)</td><td align="left" valign="top">4 (1.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">99 (67.8)</td><td align="left" valign="top">347 (89.4)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">27 (18.5)</td><td align="left" valign="top">34 (8.8)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">8 (5.5)</td><td align="left" valign="top">3 (0.8)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Employment (unemployed), n (%)</td><td align="left" valign="top">29 (19.9)</td><td align="left" valign="top">30 (7.7)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table7fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Nationality (non-Kuwaiti), n (%)</td><td align="left" valign="top">7 (4.8)</td><td align="left" valign="top">32 (8.2)</td><td align="left" valign="top">.24</td></tr><tr><td align="left" valign="top" colspan="3">Education, n (%)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table7fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Primary education</td><td align="left" valign="top">7 (4.8)</td><td align="left" valign="top">4 (1.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">38 (26.0)</td><td align="left" valign="top">45 (11.6)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">26 (17.8)</td><td align="left" valign="top">91 (23.5)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">64 (43.8)</td><td align="left" valign="top">210 (54.1)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Master&#x2019;s or PhD</td><td align="left" valign="top">11 (7.5)</td><td align="left" valign="top">38 (9.8)</td><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table7fn1"><p><sup>a</sup>indicates <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn><fn id="table7fn2"><p><sup>b</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p><xref ref-type="table" rid="table8">Table 8</xref> demonstrates unadjusted and adjusted results for a perceived barrier of HPV from our logistic regression models. The sex of the child (female), parents&#x2019; level of education, employment status, monthly family income, and marital status demonstrated a statistically significant correlation with a perceived barrier to HPV vaccination in the unadjusted logistic regression models. Parents with female children are likely to have a 1.6 times higher perception of the barrier to HPV vaccination compared to parents with male children (OR: 1.56, 95% CI 1.07&#x2010;2.29; <italic>P</italic>=.02).</p><table-wrap id="t8" position="float"><label>Table 8.</label><caption><p>Logistic regression models illustrate the relationship between participants&#x2019; characteristics and their perceived barriers to human papillomavirus (HPV) infection among adolescents.</p></caption><table id="table8" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics of adolescents</td><td align="left" valign="bottom" colspan="4">Perceived barriers to HPV vaccination</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Unadjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td><td align="left" valign="top">Adjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">Child age</td><td align="left" valign="top">0.97 (0.83&#x2010;01.13)</td><td align="left" valign="top">.70</td><td align="left" valign="top">0.98 (0.82&#x2010;01.168)</td><td align="left" valign="top">.82</td></tr><tr><td align="left" valign="top">Child or adolescent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Male (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">1.560 (1.070&#x2010;02.29)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">1.60 (1.03&#x2010;2.47)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Parent characteristics</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Age of respondent</td><td align="left" valign="top">1.01 (0.97&#x2010;1.04)</td><td align="left" valign="top">.72</td><td align="left" valign="top">1.01 (0.97&#x2010;1.05)</td><td align="left" valign="top">.55</td></tr><tr><td align="left" valign="top">Parent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Sex female (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Sex male</td><td align="left" valign="top">1.48 (0.98&#x2010;2.29)</td><td align="left" valign="top">.06</td><td align="left" valign="top">1.89 (1.13&#x2010;3.21)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">Nationality</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Kuwaiti (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Non-Kuwaiti</td><td align="left" valign="top">1.78 (0.81&#x2010;4.49)</td><td align="left" valign="top">.18</td><td align="left" valign="top">1.69 (0.70&#x2010;4.67)</td><td align="left" valign="top">.27</td></tr><tr><td align="left" valign="top">Education</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Primary education (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">2.07 (0.58&#x2010;8.42)</td><td align="left" valign="top">.27</td><td align="left" valign="top">0.80 (0.18&#x2010;3.74)</td><td align="left" valign="top">.77</td></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">6.13 (1.72&#x2010;24.93)</td><td align="left" valign="top">.006<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">2.69 (0.63&#x2010;12.57)</td><td align="left" valign="top">.19</td></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">5.74 (1.68&#x2010;22.51)</td><td align="left" valign="top">.007<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">2.05 (0.49&#x2010;9.31)</td><td align="left" valign="top">.32</td></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">6.05 (1.55&#x2010;26.91)</td><td align="left" valign="top">.01<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">2.15 (0.45&#x2010;11.22)</td><td align="left" valign="top">.34</td></tr><tr><td align="left" valign="top">Monthly family income</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Less than 700 KD (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;700&#x2010;1500 KD</td><td align="left" valign="top">1.63 (0.94&#x2010;2.82)</td><td align="left" valign="top">.08<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">1.18 (0.60&#x2010;2.26)</td><td align="left" valign="top">.62</td></tr><tr><td align="left" valign="top">&#x2003;More than 1500 KD</td><td align="left" valign="top">2.31 (1.30&#x2010;4.11)</td><td align="left" valign="top">.004<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">1.04 (0.50&#x2010;2.11)</td><td align="left" valign="top">.91</td></tr><tr><td align="left" valign="top">Status of employment</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Unemployment</td><td align="left" valign="top">0.34 (0.190&#x2010;0.59)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">0.89 (0.44&#x2010;1.83)</td><td align="left" valign="top">.74</td></tr><tr><td align="left" valign="top">Marital status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Single (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">10.52 (3.58&#x2010;38.27)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">9.39 (2.86&#x2010;37.50)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">3.78 (1.17&#x2010;14.74)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td><td align="left" valign="top">3.94 (1.07&#x2010;17.12)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table8fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">1.13 (0.18&#x2010;6.52)</td><td align="left" valign="top">.89</td><td align="left" valign="top">1.03 (0.15&#x2010;6.72)</td><td align="left" valign="top">.97</td></tr></tbody></table><table-wrap-foot><fn id="table8fn1"><p><sup>a</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p>More than two-thirds of parents who responded to the survey alluded to barriers to HPV vaccination. The sex of the child and marital status are the factors that demonstrated significant associations with perceived barriers to HPV vaccination.</p></sec><sec id="s3-9"><title>Perceived Self-Effect</title><p><xref ref-type="supplementary-material" rid="app10">Multimedia Appendix 10</xref> provides descriptive statistics for the overall perceived self-efficacy score related to HPV among child participants. The mean self-efficacy score for all individuals was 23.51 (SD 6.03). The study had more women (n=363) than men (n=171). Dads and male caregivers scored higher on the overall self-efficacy score (mean 25.09, SD 5.32) than moms and female caregivers (mean 22.77, SD 6.21).</p><p><xref ref-type="supplementary-material" rid="app11">Multimedia Appendix 11</xref> shows that more than 40% of parents affirmed complete control over giving their son or daughter the HPV vaccine against anal, penile, or CC. However, about 33.7% (n=180) had good enough knowledge to decide on HPV vaccine uptake for their children. In addition, less than 40% (n=210) felt they could do something about their health by getting vaccinated against HPV. More than 40% (n=210) of parents affirmed complete control over giving their son or daughter HPV vaccine against anal, penile, or CC. However, about 33.7% (n=180) had good enough knowledge to decide on HPV vaccine uptake for their children. In addition, less than 40% (n=210) felt they could do something about their health by getting vaccinated against HPV.</p><p><xref ref-type="table" rid="table9">Table 9</xref> shows that parents with female children had a slightly greater percentage of high perceived self-efficacy than those with low self-efficacy (n=154, 59.0% vs n=134, 49.1%; <italic>P</italic>=.03). We found a greater proportion of male respondents with a high perception of perceived self-efficacy than females (n=58, 22.2 % vs n=113, 41.1%;, <italic>P</italic>&#x003C;.001). Our analysis revealed a significant percentage difference in perceived self-efficacy among respondents of non-Kuwaiti nationality (n=11, 4.2% vs n=28, 10.3%; <italic>P</italic>=.01).</p><table-wrap id="t9" position="float"><label>Table 9.</label><caption><p>Self-efficacy and baseline characteristics of respondents and children.</p></caption><table id="table9" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics</td><td align="left" valign="bottom">Low (n=261)</td><td align="left" valign="bottom">High (n=273)</td><td align="left" valign="bottom"><italic>P</italic> value<sup><xref ref-type="table-fn" rid="table9fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">Sex of child, (Female), n (%)</td><td align="left" valign="top">154 (59.00)</td><td align="left" valign="top">134 (49.10)</td><td align="left" valign="top">.03<sup><xref ref-type="table-fn" rid="table9fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Sex of parent, (Male), n (%)</td><td align="left" valign="top">58 (22.20)</td><td align="left" valign="top">113 (41.40)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table9fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Child age, mean (SD)</td><td align="left" valign="top">13.47 (1.230)</td><td align="left" valign="top">13.42 (1.230)</td><td align="left" valign="top">.64</td></tr><tr><td align="left" valign="top">Respondent age, mean (SD)</td><td align="left" valign="top">42.57 (5.730)</td><td align="left" valign="top">42.99 (5.700)</td><td align="left" valign="top">.40</td></tr><tr><td align="left" valign="top" colspan="2">Income monthly, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.08</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Under US $ 2260 $</td><td align="left" valign="top">36 (13.80)</td><td align="left" valign="top">35 (12.80)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Between US $2260 and US $4800</td><td align="left" valign="top">133 (51.00)</td><td align="left" valign="top">116 (42.50)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Over US $4800</td><td align="left" valign="top">92 (35.20)</td><td align="left" valign="top">122 (44.70)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top" colspan="2">Marital status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.20</td></tr><tr><td align="left" valign="top">&#x2003;Unmarried</td><td align="left" valign="top">6 (2.30)</td><td align="left" valign="top">10 (3.70)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Wedded</td><td align="left" valign="top">212 (81.20)</td><td align="left" valign="top">234 (85.70)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Divorce</td><td align="left" valign="top">37 (4.20)</td><td align="left" valign="top">24 (8.80)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Widow</td><td align="left" valign="top">6 (2.30)</td><td align="left" valign="top">5 (1.80)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Employment (unemployment), n (%)</td><td align="left" valign="top">30 (11.50)</td><td align="left" valign="top">29 (10.60)</td><td align="left" valign="top">.86</td></tr><tr><td align="left" valign="top">Nationality (non-Kuwaiti), n (%)</td><td align="left" valign="top">11 (4.20)</td><td align="left" valign="top">28 (10.30)</td><td align="left" valign="top">.01<sup><xref ref-type="table-fn" rid="table9fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Level of education, n (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">.001<sup><xref ref-type="table-fn" rid="table9fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Primary education</td><td align="left" valign="top">11 (4.20)</td><td align="left" valign="top">0 (0.00)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">42 (6.1)</td><td align="left" valign="top">41 (15.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">57 (21.8)</td><td align="left" valign="top">60 (22.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">136 (52.1)</td><td align="left" valign="top">138 (50.5)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">15 (5.7)</td><td align="left" valign="top">34 (12.5)</td><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table9fn1"><p><sup>a</sup>indicates <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn><fn id="table9fn2"><p><sup>b</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p>Unadjusted logistic regression models, the sex of the parent (male) was found to have a 2.47 times higher perception of self-efficacy for HPV vaccination compared to female parents (OR: 2.47; 95% CI (1.70&#x2010;3.63), <italic>P</italic>&#x003C;.001). Adjusted models showed a significant association of sex of parent (male, 2.23; 95% CI (1.49&#x2010;3.39), <italic>P</italic>&#x003C;.001). Nationality with perceived self-efficacy to HPV vaccination in unadjusted logistic regression models showed significant predictors of perceived self-efficacy of HPV vaccination (2.60; 95% CI 1.29&#x2010;5.55, <italic>P</italic>=.009), and in adjusted logistic regression models showed (3.11; 95% CI 1.50&#x2010;6.86, <italic>P</italic>=.003) (<xref ref-type="table" rid="table10">Table 10</xref>)</p><table-wrap id="t10" position="float"><label>Table 10.</label><caption><p>Logistic regression models illustrate the relationship between participants' characteristics and their perceived self-efficacy of human papillomavirus (HPV) vaccination to prevent HPV infection and its consequences among children.</p></caption><table id="table10" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics of adolescents</td><td align="left" valign="bottom" colspan="4">Perceived self-efficacy of vaccination to prevent HPV infection</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Unadjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> values</td><td align="left" valign="top">Adjusted odds ratio (95% CI)</td><td align="left" valign="top"><italic>P</italic> values</td></tr></thead><tbody><tr><td align="left" valign="top">Child age</td><td align="left" valign="top">0.97 (0.84&#x2010;01.11)</td><td align="left" valign="top">.64</td><td align="left" valign="top">0.98 (0.85&#x2010;01.14)</td><td align="left" valign="top">.83</td></tr><tr><td align="left" valign="top">Child or adolescent age</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Male (Reference)</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table10fn1">a</xref></sup></td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">0.67 (0.48&#x2010;0.94)</td><td align="left" valign="top">.02</td><td align="left" valign="top">0.69 (0.47&#x2010;0.99)</td><td align="left" valign="top">.04</td></tr><tr><td align="left" valign="top">&#x2003;Parent characteristics</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Age of respondent</td><td align="left" valign="top">1.01 (0.98&#x2010;1.04)</td><td align="left" valign="top">.39</td><td align="left" valign="top">1.00 (0.97&#x2010;1.04)</td><td align="left" valign="top">.77</td></tr><tr><td align="left" valign="top">Parent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Sex female (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Sex male</td><td align="left" valign="top">2.47 (1.70&#x2010;3.63)</td><td align="left" valign="top">&#x003C;.001</td><td align="left" valign="top">2.23 (1.49&#x2010;3.39)</td><td align="left" valign="top">&#x003C;.001</td></tr><tr><td align="left" valign="top">Nationality</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Kuwaiti (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Non-Kuwaiti</td><td align="left" valign="top">2.60 (1.29&#x2010;5.55)</td><td align="left" valign="top">.009</td><td align="left" valign="top">3.11 (1.50&#x2010;6.86)</td><td align="left" valign="top">.003</td></tr><tr><td align="left" valign="top">Monthly family income</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Less than US $2260 (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;US $2260&#x2010;4800</td><td align="left" valign="top">0.89 (0.53&#x2010;1.53)</td><td align="left" valign="top">.69</td><td align="left" valign="top">0.90 (0.51&#x2010;1.59)</td><td align="left" valign="top">.72</td></tr><tr><td align="left" valign="top">&#x2003;More than US $4800</td><td align="left" valign="top">1.36 (0.79&#x2010;2.34)</td><td align="left" valign="top">.26</td><td align="left" valign="top">1.39 (0.77&#x2010;2.51)</td><td align="left" valign="top">.28</td></tr><tr><td align="left" valign="top">Employment status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Unemployment</td><td align="left" valign="top">0.920 (0.53&#x2010;01.57)</td><td align="left" valign="top">.75</td><td align="left" valign="top">01.09 (0.59&#x2010;1.98)</td><td align="left" valign="top">.78</td></tr><tr><td align="left" valign="top">Marital status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Single (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">0.66 (0.22&#x2010;1.81)</td><td align="left" valign="top">.43</td><td align="left" valign="top">0.57 (0.18&#x2010;1.67)</td><td align="left" valign="top">.32</td></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">0.39 (0.12&#x2010;1.19)</td><td align="left" valign="top">.10</td><td align="left" valign="top">0.42 (0.13&#x2010;1.34)</td><td align="left" valign="top">.15</td></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">0.50 (0.10&#x2010;2.36)</td><td align="left" valign="top">.38</td><td align="left" valign="top">0.46 (0.09&#x2010;2.29)</td><td align="left" valign="top">.34</td></tr></tbody></table><table-wrap-foot><fn id="table10fn1"><p><sup>a</sup>Not applicable.</p></fn></table-wrap-foot></table-wrap><p>There was a significant difference in the perceived self-efficacy scores for fathers and male guardians and the mothers and female guardians, which means that males have more confidence in themselves as compared to females. The sex of the child (son for focus more than female daughter) and nationality were the significant predictors of perceived self-efficacy to HPV vaccination.</p></sec><sec id="s3-10"><title>Cue to Action</title><p><xref ref-type="supplementary-material" rid="app12">Multimedia Appendix 12</xref> provides descriptive statistics for the total cue-to-action score related to HPV vaccination with the parents of children. The overall mean score for perceived self-efficacy of the HPV vaccine was 23.34 (SD=7.19). This study was conducted with more women (n=363) and men (n=171). Fathers and male guardians scored less cue-to-action on average (mean 22.54, SD 7.32) than mothers and female guardians, with a higher mean score (mean 23.93, SD 7.07).</p><p><xref ref-type="supplementary-material" rid="app13">Multimedia Appendix 13</xref> shows that up to 50% of parents believed that stimuli such as recommendations from health professionals, relatives, and health promotion by MOH would trigger the decision-making process to accept HPV vaccination for their children. More than half of respondents said they would get vaccinated if health professionals recommended the HPV vaccine for their children.</p><p>Parents&#x2019; likelihood to cue to action for deciding to take the HPV vaccine differed by the child&#x2019;s sex, nationality, marital status, and education (<xref ref-type="table" rid="table11">Table 11</xref>). We found a slightly more significant percentage of parents with female children with a higher perception of cue to action for HPV vaccination than those with a lower perception of cue to action (n=123, 48.6% vs n=165, 58.7%; <italic>P</italic>=.02). Married participants were more likely to take action against HPV vaccination than participants with other marital statuses (<italic>P</italic>=.04).</p><table-wrap id="t11" position="float"><label>Table 11.</label><caption><p>Comparison between chances to cue to action for human papillomavirus (HPV) vaccination and demographic characteristics.</p></caption><table id="table11" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Demographic characteristics</td><td align="left" valign="bottom">Low (n=253)</td><td align="left" valign="bottom">High (n=281)</td><td align="left" valign="bottom"><italic>P</italic> value<sup><xref ref-type="table-fn" rid="table11fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">Child sex (female), n (%)</td><td align="left" valign="top">123 (48.6)</td><td align="left" valign="top">165 (58.7)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table11fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Parent sex (Male), n (%)</td><td align="left" valign="top">86 (34.0)</td><td align="left" valign="top">85 (30.2)</td><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table11fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Child age, mean (SD)</td><td align="left" valign="top">13.51 (0.20)</td><td align="left" valign="top">13.39 (01.25)</td><td align="left" valign="top">.25</td></tr><tr><td align="left" valign="top">Parent age, mean (SD)</td><td align="left" valign="top">42.83 (05.28)</td><td align="left" valign="top">42.74 (6.09)</td><td align="left" valign="top">.85</td></tr><tr><td align="left" valign="top" colspan="2">Income monthly, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.68</td></tr><tr><td align="left" valign="top">&#x2003;Under US $2260</td><td align="left" valign="top">32 (12.6)</td><td align="left" valign="top">39 (13.9)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;US $2260&#x2010;4800</td><td align="left" valign="top">123 (48.6)</td><td align="left" valign="top">126 (44.8)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;More than US $4800</td><td align="left" valign="top">98 (38.7)</td><td align="left" valign="top">116 (41.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top" colspan="2">Marital status, n (%)</td><td align="left" valign="top"/><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table11fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Single</td><td align="left" valign="top">4 (1.6)</td><td align="left" valign="top">12 (4.3)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">210 (83.0)</td><td align="left" valign="top">236 (84.0)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">36 (14.2)</td><td align="left" valign="top">25 (8.9)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">3 (1.2)</td><td align="left" valign="top">8 (2.8)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Employment (unemployed), n (%)</td><td align="left" valign="top">28 (11.1)</td><td align="left" valign="top">31 (11.0)</td><td align="left" valign="top">1</td></tr><tr><td align="left" valign="top">Nationality (non-Kuwait), n (%)</td><td align="left" valign="top">11 (4.3)</td><td align="left" valign="top">28 (10.0)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table11fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">Education level (%)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x003C;.001<sup><xref ref-type="table-fn" rid="table11fn2">b</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Primary education</td><td align="left" valign="top">9 (3.6)</td><td align="left" valign="top">2 (0.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">50 (19.8)</td><td align="left" valign="top">33 (11.7)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">52 (20.6)</td><td align="left" valign="top">65 (23.1)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">130 (51.4)</td><td align="left" valign="top">144 (51.2)</td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">12 (4.7)</td><td align="left" valign="top">37 (13.2)</td><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table11fn1"><p><sup>a</sup>indicates the <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn><fn id="table11fn2"><p><sup>b</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p><xref ref-type="table" rid="table12">Table 12</xref> demonstrates unadjusted and adjusted results related to the likelihood of cue-to-action for uptake of HPV vaccination, categorized by a median cue-to-action score from logistic regression models. Our unadjusted logistic regression models showed that the sex of the child (female), level of education, nationality, and marital status demonstrated a statistically significant correlation with a child&#x2019;s (female), level of education, nationality, and marital status demonstrated a statistically significant correlation with a perceived cue to action to HPV vaccination uptake. Parents with female children were 1.5 times more likely to cue to action for HPV vaccination than parents with male children (OR: 1.50; 95% CI 1.07&#x2010;2.12, <italic>P</italic>=.02). Similar trends of positive correlation were observed in the analysis. We found a significant increase in likelihood to cue to action for uptake of HPV vaccination for each step of education achieved among respondents compared to primary education (High School; OR: 4.84, 95% CI 1.16&#x2010;33.01, <italic>P</italic>=.05; Diploma; OR: 5.63; 95%CI 1.38&#x2010;37.96, <italic>P</italic>=.03; Bachelor&#x2019;s Degree; OR: 4.98; 95%CI 1.26&#x2010;33.09, <italic>P</italic>=.04; Masters or PhD; 13.88 3.07&#x2010;99.86, <italic>P</italic>=.002). Married respondents were less likely to cue to action for HPV vaccination uptake for their children and themselves (OR: 0.23; 95% CI 0.06&#x2010;0.75, <italic>P</italic>=.02). Respondents of non-Kuwaiti nationality were more likely to cue to action for HPV vaccination uptake compared to Kuwaiti (OR: 2.43; 95% CI 1.22&#x2010;5.21, <italic>P</italic>=.02).</p><table-wrap id="t12" position="float"><label>Table 12.</label><caption><p>Logistic regression models illustrate the relationship between participants' characteristics and their cue to action regarding human papillomavirus vaccination in children.</p></caption><table id="table12" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Characteristics of adolescent</td><td align="left" valign="bottom" colspan="4">Cue to action</td></tr><tr><td align="left" valign="bottom"/><td align="left" valign="bottom">Unadjusted odds ratio (95% CI)</td><td align="left" valign="bottom"><italic>P</italic> values</td><td align="left" valign="bottom">Adjusted odds ratio (95% CI)</td><td align="left" valign="bottom"><italic>P</italic> values</td></tr></thead><tbody><tr><td align="left" valign="top">Child age</td><td align="left" valign="top">0.92 (0.80&#x2010;01.06)</td><td align="left" valign="top">.25</td><td align="left" valign="top">0.92 (0.79&#x2010;01.07)</td><td align="left" valign="top">.27</td></tr><tr><td align="left" valign="top">Child or adolescent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Male (Reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Female</td><td align="left" valign="top">1.50 (1.07&#x2010;2.12)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td><td align="left" valign="top">1.34 (0.92&#x2010;1.95)</td><td align="left" valign="top">.13</td></tr><tr><td align="left" valign="top">Parent characteristics</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Age of respondent</td><td align="left" valign="top">0.99 (0.97&#x2010;1.03)</td><td align="left" valign="top">.85</td><td align="left" valign="top">1.01 (0.98&#x2010;1.05)</td><td align="left" valign="top">.41</td></tr><tr><td align="left" valign="top">Parent sex</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Female (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top"/><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2014;&#x2014;&#x2003;Male.</td><td align="left" valign="top">0.84 (0.58&#x2010;01.21)</td><td align="left" valign="top">.36</td><td align="left" valign="top">0.87 (0.57&#x2010;01.35)</td><td align="left" valign="top">.54</td></tr><tr><td align="left" valign="top">Nationality</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Kuwaiti (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Non-Kuwaiti</td><td align="left" valign="top">2.43 (1.22&#x2010;5.21)</td><td align="left" valign="top">.015<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td><td align="left" valign="top">1.90 (0.91&#x2010;4.20)</td><td align="left" valign="top">.01<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">Education</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Primary education (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;High school education</td><td align="left" valign="top">2.97 (0.71&#x2010;20.29)</td><td align="left" valign="top">.18</td><td align="left" valign="top">2.08 (0.44&#x2010;15.29)</td><td align="left" valign="top">.39</td></tr><tr><td align="left" valign="top">&#x2003;Diploma</td><td align="left" valign="top">5.63 (1.38&#x2010;37.96)</td><td align="left" valign="top">.03<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td><td align="left" valign="top">5.06 (1.09&#x2010;36.79)</td><td align="left" valign="top">.05<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Bachelor&#x2019;s degree</td><td align="left" valign="top">4.98 (1.26&#x2010;33.09)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td><td align="left" valign="top">4.65 (1.02&#x2010;33.43)</td><td align="left" valign="top">.03<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Masters or PhD</td><td align="left" valign="top">13.88 (3.07&#x2010;99.86)</td><td align="left" valign="top">.002<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td><td align="left" valign="top">15.58 (2.99&#x2010;122.55)</td><td align="left" valign="top">.003<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">Monthly family income</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Less than US $2260 (reference)</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;US $2260&#x2010;4800</td><td align="left" valign="top">0.84 (0.49&#x2010;1.43)</td><td align="left" valign="top">.52</td><td align="left" valign="top">0.62 (0.34&#x2010;1.12)</td><td align="left" valign="top">.12</td></tr><tr><td align="left" valign="top">&#x2003;More than US $4800</td><td align="left" valign="top">0.97 (0.56&#x2010;1.66)</td><td align="left" valign="top">.92</td><td align="left" valign="top">0.51 (0.27&#x2010;0.95)</td><td align="left" valign="top">.04<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">Employment status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Employment (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Unemployment</td><td align="left" valign="top">0.99 (0.58&#x2010;1.72)</td><td align="left" valign="top">.99</td><td align="left" valign="top">1.26 (0.64&#x2010;2.50)</td><td align="left" valign="top">.51</td></tr><tr><td align="left" valign="top">Marital status</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top">&#x2003;Single (reference)</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">&#x2014;</td></tr><tr><td align="left" valign="top">&#x2003;Married</td><td align="left" valign="top">0.37 (0.10&#x2010;1.09)</td><td align="left" valign="top">.09</td><td align="left" valign="top">0.33 (0.09&#x2010;1.03)</td><td align="left" valign="top">.07</td></tr><tr><td align="left" valign="top">&#x2003;Divorced</td><td align="left" valign="top">0.23 (0.06&#x2010;0.75)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td><td align="left" valign="top">0.20 (0.05&#x2010;0.69)</td><td align="left" valign="top">.02<sup><xref ref-type="table-fn" rid="table12fn1">a</xref></sup></td></tr><tr><td align="left" valign="top">&#x2003;Widowed</td><td align="left" valign="top">0.89 (0.15&#x2010;5.54)</td><td align="left" valign="top">.89</td><td align="left" valign="top">0.74 (0.12&#x2010;4.82)</td><td align="left" valign="top">.74</td></tr></tbody></table><table-wrap-foot><fn id="table12fn1"><p><sup>a</sup>Indicates statistical significance.</p></fn></table-wrap-foot></table-wrap><p>The researcher observed significant correlations between level of education and marital status and respondents&#x2019; likelihood of acting on the cue to take up HPV vaccination. About 53% (n=283) of parents were more likely to act on the recommendation for HPV vaccination uptake after a recommendation from health care professionals.</p></sec><sec id="s3-11"><title>Correlation Between Participants and Knowledge</title><p>There was a positive correlation between all 6 constructs and knowledge of HPV, as the <italic>P</italic> value for all the correlation coefficients was less than 0.05. As one variable increases, the other also increases, and the degree of the relationship was statistically significant for all correlations except for susceptibility to HPV and knowledge of HPV. The strongest correlation was seen between the benefit of HPV vaccination and self-efficacy to recommend or make decisions for HPV vaccination for children (<italic>r</italic>=0.71, <italic>P</italic>&#x003C;.001). The significant but weakest correlation was barriers to HPV vaccination and perceived susceptibility to HPV (<italic>r</italic>=0.09, <italic>P</italic>&#x003C;.05), as seen in <xref ref-type="fig" rid="figure2">Figure 2</xref>.</p><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>The matrix of correlation between the total knowledge score and the overall scores for each of the six HBM components.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="publichealth_v11i1e75818_fig02.png"/></fig></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>The survey findings significantly contribute to the study&#x2019;s overall aim by providing insights into the factors that affect parents&#x2019; acceptance of HPV vaccination in Middle Eastern countries. It is pertinent to mention that although the aim of the current thesis was specific to the State of Kuwait. The researcher targeted available literature for all Middle Eastern countries because Kuwait and other Middle Eastern countries share several common characteristics.</p><p>Our findings were consistent with other research using the HBM to assess the level of knowledge, beliefs, and acceptability of the HPV vaccine among parents of their children. For instance, one study stated that Kuwaiti university students were lagging in their knowledge of HPV and the HPV vaccine. In addition, the research reported that vaccine conspiracy beliefs were negatively correlated with their willingness to receive vaccination, demonstrating the role of misinformation and beliefs in decision-making around vaccination [<xref ref-type="bibr" rid="ref23">23</xref>]. These findings agreed with our observations and underscore the need to correct information asymmetry and misconceptions to enhance HPV vaccination adoption. From this similarity, we can infer that the same problem in the Kuwait community, whether among university students or parents, a lack of knowledge is one of the obstacles that leads to decreased uptake of the HPV vaccine. On the other hand, in this quantitative study, when health professionals explain or advise parents to take the vaccine, they are more likely to have their children vaccinated.</p><p>Jordanian female undergraduates at health schools had a relatively high level of knowledge and attitudes toward HPV vaccination [<xref ref-type="bibr" rid="ref24">24</xref>]. Their intention to vaccinate was derived directly from perceived susceptibility, perceived benefit, perceived barriers, and cues to action, which were consistent with the HBM. For example, in the same study, the participants explained the perceived severity of the vaccine. The study emphasized how the COVID-19 pandemic could have heightened concerns about vaccine safety and, in turn, further fueled vaccine hesitancy. Because of the high level of knowledge in Jordanian female undergraduates, which is different from our study, and the same intention regarding perceived severity in our study, even though there are several common characteristics between the 2 different countries, as both are Arabic countries, there are similarities and differences in HPV knowledge and perceived severity among different populations, respectively [<xref ref-type="bibr" rid="ref24">24</xref>].</p><p>However, similar frameworks to explore parents&#x2019; perspectives on HPV vaccination. For instance, one study found that Arabic-speaking mothers in Australia had low understanding and awareness of HPV and its vaccine, and that cultural and religious beliefs, perceived severity, perceived benefits, perceived barriers, self-efficacy, and social norms influenced their acceptance of the vaccine [<xref ref-type="bibr" rid="ref25">25</xref>]. For example, results found that cost, safety concerns, negative feelings, and knowledge gaps were the most common reasons given for the decline in HPV vaccine acceptability [<xref ref-type="bibr" rid="ref25">25</xref>]. This explains that even some Arab participants living in other communities have the same perceived barriers in our study regarding the HPV vaccine, as well as low levels of knowledge. This means stigma, Kuwaiti culture is a key barrier, and low levels of expertise are similar for other Arabic participants, even in different communities.</p><p>Other studies found that Syrian mothers had low knowledge and negative attitudes toward HPV vaccination for their teen girls. Their main barriers were a lack of information, fear of side effects, and distrust of health authorities [<xref ref-type="bibr" rid="ref26">26</xref>]. Also, the Syrian mothers are similar to the sociocultural context of the Kuwait mother community, sharing the same language and religion, which explains why the lack of knowledge and cultural barriers should be addressed to increase uptake of the HPV vaccine [<xref ref-type="bibr" rid="ref26">26</xref>].</p><p>To provide a wider explanation regarding HBM in different areas of Middle Eastern culture and community, one study in Thailand showed Thai parents had a limited to moderate understanding of HPV and the HPV vaccination, and their acceptance of the vaccine was significantly influenced by perceived susceptibility, severity, advantages, hurdles, provocations, and values. The findings, along with similar research, suggest that parents&#x2019; understanding, views, and preferences regarding HPV vaccination for their children vary significantly across nations and cultures. This necessitates treatments customized to the needs, interests, and cultural attributes of specific people [<xref ref-type="bibr" rid="ref27">27</xref>]. That means, in some studies across different community cultures, we can interpret that when parents have high knowledge, they will have a high degree of understanding of HBM concepts in various ways, such as through interventions from the MOH or recommendations from health professionals. So, immunization in any community will increase directly because all parents will gain more information about the perceived benefits, severity, and other HBM concepts regarding the HPV vaccine, which will ultimately lead to herd immunity. One of the limitations of this study is that it was conducted only in government schools and did not collect data from private schools, with most of the students being non-Kuwaiti citizens. Therefore, these results are unlikely, given the knowledge and health beliefs of all parents in Kuwait.</p></sec><sec id="s4-2"><title>Conclusions</title><p>Our study shares similarities and differences with other research that used the HBM or similar frameworks to investigate parents&#x2019; knowledge, beliefs, and acceptance of the HPV vaccine for their children in various countries and cultures. One notable similarity is the consistent finding that parents&#x2019; knowledge of HPV and the HPV vaccine tends to be low. In addition, the higher the knowledge level, the greater the perceived susceptibility, severity, benefits, and acceptance of the vaccine. Such a correlation highlights the need for interventions to build parents&#x2019; knowledge and awareness about HPV and the HPV vaccine everywhere because it is a crucial component of improving vaccine acceptance and absorption. Based on our findings, some preliminary conclusions and implications for health promotion and policy formulation regarding HPV vaccination in Kuwait. To start with, it is crucial to address parents&#x2019; lack of understanding of HPV and the HPV vaccine, especially among the less educated, lower-income, and Kuwaiti nationals. Comprehensive and culturally appropriate education efforts should be undertaken through schools, physicians, the media, and community organizations to create awareness and foster a better understanding of HPV and the importance of vaccination.</p></sec></sec></body><back><ack><p>The authors would like to thank the librarians of the University of Bradford for their guidance and assistance in this systematic review. No generative AI was used in any portion of the manuscript generation. This work has been a part of the Doctoral Degree at the University of Bradford. However, a publishing grant was received from Linnaeus University, Sweden, as part of the University Library&#x2019;s research support.</p></ack><fn-group><fn fn-type="con"><p>Conceptualization: AA, CE, CJ</p><p>Formal analysis: AA, CJ</p><p>Methodology: AA, CJ</p><p>Project administration: AA, CJ</p><p>Writing &#x2013; original draft: AA</p><p>Writing &#x2013; review &#x0026; editing: AA, CJ, MSRJ</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">CC</term><def><p>cervical cancer</p></def></def-item><def-item><term id="abb2">HBM</term><def><p>health belief model</p></def></def-item><def-item><term id="abb3">HPV</term><def><p>human papillomavirus</p></def></def-item><def-item><term id="abb4">OR</term><def><p>odds ratio</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group 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pub-id-type="medline">29447271</pub-id></nlm-citation></ref></ref-list><app-group><supplementary-material id="app1"><label>Multimedia Appendix 1</label><p>Descriptive for total susceptibility score for participants (male/female).</p><media xlink:href="publichealth_v11i1e75818_app1.docx" xlink:title="DOCX File, 14 KB"/></supplementary-material><supplementary-material id="app2"><label>Multimedia Appendix 2</label><p>Responses to perceived susceptibility to HPV infection and related conditions.</p><media xlink:href="publichealth_v11i1e75818_app2.docx" xlink:title="DOCX File, 16 KB"/></supplementary-material><supplementary-material id="app3"><label>Multimedia Appendix 3</label><p>Descriptive for total severity score for participants (male and female).</p><media xlink:href="publichealth_v11i1e75818_app3.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app4"><label>Multimedia Appendix 4</label><p>Response to the perceived severity of infection of HPV and associated conditions.</p><media xlink:href="publichealth_v11i1e75818_app4.docx" xlink:title="DOCX File, 16 KB"/></supplementary-material><supplementary-material id="app5"><label>Multimedia Appendix 5</label><p>Descriptive total benefit score for participants (male and female).</p><media xlink:href="publichealth_v11i1e75818_app5.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app6"><label>Multimedia Appendix 6</label><p>Descriptive statistics for perceived benefits items.</p><media xlink:href="publichealth_v11i1e75818_app6.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app7"><label>Multimedia Appendix 7</label><p>Difference between male and female participants&#x2019; benefit score.</p><media xlink:href="publichealth_v11i1e75818_app7.docx" xlink:title="DOCX File, 14 KB"/></supplementary-material><supplementary-material id="app8"><label>Multimedia Appendix 8</label><p>Descriptive for total barrier score for participants (male and female).</p><media xlink:href="publichealth_v11i1e75818_app8.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app9"><label>Multimedia Appendix 9</label><p>Descriptive statistics for perceived barrier items.</p><media xlink:href="publichealth_v11i1e75818_app9.docx" xlink:title="DOCX File, 16 KB"/></supplementary-material><supplementary-material id="app10"><label>Multimedia Appendix 10</label><p>Descriptive for total self-efficacy score for participants (male and female).</p><media xlink:href="publichealth_v11i1e75818_app10.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app11"><label>Multimedia Appendix 11</label><p>Descriptive statistics for perceived self-efficacy items.</p><media xlink:href="publichealth_v11i1e75818_app11.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app12"><label>Multimedia Appendix 12</label><p>Descriptive for total cue to action score for participants (male and female).</p><media xlink:href="publichealth_v11i1e75818_app12.docx" xlink:title="DOCX File, 15 KB"/></supplementary-material><supplementary-material id="app13"><label>Multimedia Appendix 13</label><p>Descriptive for cue to action items.</p><media xlink:href="publichealth_v11i1e75818_app13.docx" xlink:title="DOCX File, 16 KB"/></supplementary-material></app-group></back></article>