Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29970, first published .
Demographics Associated With Stress, Severe Mental Distress, and Anxiety Symptoms During the COVID-19 Pandemic in Japan: Nationwide Cross-sectional Web-Based Survey

Demographics Associated With Stress, Severe Mental Distress, and Anxiety Symptoms During the COVID-19 Pandemic in Japan: Nationwide Cross-sectional Web-Based Survey

Demographics Associated With Stress, Severe Mental Distress, and Anxiety Symptoms During the COVID-19 Pandemic in Japan: Nationwide Cross-sectional Web-Based Survey

Original Paper

1Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan

2Ibaraki Prefectural Medical Center of Psychiatry, Kasama, Japan

3Department of Disaster and Community Psychiatry, University of Tsukuba, Tsukuba, Japan

4Tsukuba University Health Center, University of Tsukuba, Tsukuba, Japan

5Department of Psychiatry, University of Tsukuba, Tsukuba, Japan

6School of Humanities, Hokusei Gakuen University, Sapporo, Japan

Corresponding Author:

Hirokazu Tachikawa, MD, PhD

Department of Disaster and Community Psychiatry

University of Tsukuba

Igakukei Gakukeitou 873

1-1-1 Tennoudai

Tsukuba, 305-8577

Japan

Phone: 81 29 853 3057

Fax:81 29 853 3197

Email: tachikawa@md.tsukuba.ac.jp


Background: With the spread of COVID-19, the deterioration of public mental health has become a major global and social problem.

Objective: The purpose of this study was to elucidate the relationship between the 3 mental health problems associated with COVID-19, that is, perceived stress, severe mental distress, and anxiety symptoms, and the various demographic factors, including occupation.

Methods: A nationwide web-based questionnaire survey was conducted in Japan from August 4 to 31, 2020. In addition to sociodemographic data, the degrees of perceived stress, severe mental distress, and anxiety symptoms associated with COVID-19 were measured. After performing a descriptive statistical analysis, factors related to stress, severe mental distress, and anxiety symptoms were analyzed using logistic regression analysis.

Results: A total of 8203 respondents submitted survey responses, among whom 34.9% (2861/8203) felt intense stress associated with COVID-19, 17.1% (1403/8203) were depressed, and 13.5% (1110/8203) had severe anxiety symptoms. The logistic regression analysis showed that each of the 3 mental health problems were prevalent in females, nonbinary gender, people in their 50s, 60s and older, respondents who visited psychiatrists, and those currently in psychiatric care. Severe mental distress and anxiety symptoms were associated with the number of effective lifestyle coping strategies during the lockdown period. Severe mental distress was only prevalent in teenagers and respondents in their 20s, as students tended to develop stress and severe mental distress. With regard to occupation, working in nursing care and welfare, education and research, and medical and health sectors was associated with stress; however, working in these occupations was not associated with severe mental distress and anxiety symptoms. Unemployment was associated with severe mental distress and anxiety symptoms. All 3 mental health problems were prevalent in part-time workers and those working in entertainment and arts sectors.

Conclusions: Gender, age, occupation, history of psychiatric visits, and stress coping mechanisms were associated with mental health during the COVID-19 pandemic, but their associations with stress, severe mental distress, and anxiety symptoms differed. In addition, the actual state of mental health varied according to the respondents’ occupation. It is necessary to consider the impact of the COVID-19 pandemic on mental health not only at the individual level but also at the occupational level.

JMIR Public Health Surveill 2021;7(11):e29970

doi:10.2196/29970

Keywords



The global pandemic of the novel COVID-19 has continued since the unexplained advent of the pneumonia virus in Wuhan, China in December 2019 [1]. By the end of December 2020, 80 million cases were confirmed, with more than 1.7 million deaths globally [2]. Since then, various treatment methods, including vaccines, have been developed [3]; however, this unprecedented public health emergency of international concern has not yet been resolved. The effects of the COVID-19 pandemic are expected to continue in the future [4]. COVID-19 not only causes physical frailty but also gives rise to mental health problems [5]. Depression and anxiety have been reported to have increased among the public during the pandemic [6,7]. There are various causes of impaired mental health. Aside from anxiety regarding the disease, the policies employed by many countries to stop the spread of the infection (eg, quarantine, social distancing, isolation of infected people) have also affected people’s mental health [8,9]. One of the main causes is the economic deterioration due to the stagnation of socioeconomic activities [10].

Studies related to mental health during the COVID-19 pandemic have gradually increased and continue to do so. Although there is a high degree of heterogeneity in studies of mental health during the COVID-19 pandemic due to differences in the situation of the infection in different countries, on average, approximately 30% of the general population have reported depressive and anxiety symptoms [11,12]. In a survey conducted in Japan in May 2020, 11.5% of the respondents reported serious psychological distress [13]. This may be because the number of infected people in Japan at that time was lower than that in the Western countries [2]. At the end of August 2020, when this survey was conducted, the number of people infected with COVID-19 in Japan was approximately 70,000, which was still lower than that in the Western countries [2]. However, the number of suicides in Japan started increasing from that period [14], and mental health issues related to COVID-19 have now become a major issue in Japan.

In previous studies, various factors such as gender, age, marital status, education, occupation and income, place of residence, contact history with patients with COVID-19, and comorbidities were associated with mental health problems such as stress, depression, and anxiety [15-18]. However, in many studies, stress has been measured with a general psychological scale, which differs from the perceived stress scale associated with COVID-19 [6,11]. Therefore, the relationship between various factors and each mental health problem related to COVID-19 such as perceived stress, depression, and anxiety has not been sufficiently investigated. Moreover, although the COVID-19 pandemic has had a great impact on society and people's behavior, there is a lack of occupational research on the same. Previous studies have often focused on specific occupations such as health care professionals and employment status [17]; however, a cross-sectional evaluation of mental health with respect to various occupations and considering it in combination with other attributes has not been conducted. Therefore, we conducted a nationwide web-based questionnaire survey in Japan to determine the relationship between various factors, including occupation, and perceived stress, severe mental distress, and anxiety symptoms, which are the 3 main mental health problems related to the spread of the COVID-19 pandemic.


Recruitment

From August 4 to August 31, 2020, we conducted a nationwide web-based questionnaire survey in Japan by using a web-based survey platform called SurveyMonkey [19]. Respondents were recruited through various news and social media sites such as Facebook and Twitter. Specifically, in addition to the snowball sampling method utilized by the researchers, announcements were made on the official websites of the laboratory and the University of Tsukuba. Additionally, major news media reported that this research was being conducted. The survey questionnaire was distributed among respondents who provided their informed consent after reading about the purpose of the survey on the first page and clicking on the check boxes. The survey was conducted anonymously, and no personally identifiable information was included in the data used for analysis. Furthermore, no exclusion criteria were established. Missing values for the social parameters are shown for each item. This study was approved by the Medical Ethics Committee of the University of Tsukuba (Registration 1546-1). Appropriate ethical considerations were applied during all the stages of this study.

Measures

We asked the respondents about their gender, age, occupation, and psychiatric outpatient history. We also enquired whether they experienced stress related to COVID-19 in the previous month. The response options included “strongly disagree,” “disagree,” “neither agree nor disagree,” “agree,” “strongly agree,” and “other.” We categorized those who chose the option “strongly agree” as those under severe stress related to COVID-19. Another question inquired whether the respondents felt that they or their families were at risk of infection, whether they were bullied or discriminated against, and whether self-confinement interfered with work or school. We also investigated the number of effective lifestyle coping strategies employed during the self-confinement period, such as maintaining a healthy rhythm of life, exercise, good eating habits, getting enough sleep, enjoying indoor activities, talking to friends, encouraging each other, reducing the amount of time spent watching television or surfing the internet, and getting the right information on COVID-19. The Japanese version of the 6-item Kessler Psychological Distress Scale (K6) and Generalized Anxiety Disorder-7 item (GAD-7) were used to measure severe mental distress and anxiety symptoms.

The K6 is a short, 6-item questionnaire developed for screening mood and anxiety disorders [20]. It evaluates mood and anxiety experienced in the last 30 days on a 5-point scale (ranging from 0 to 4). The total score for K6 ranged from 0 to 24. We used the Japanese version of K6, which has demonstrated confirmed reliability and validity [21]. Based on Kessler et al’s recommendation [20], we adopted K6≥13 as the cut-off value, indicating a state of severe mental distress.

The GAD-7 is a self-administered questionnaire developed by Spitzer et al to assess the severity of generalized anxiety disorder by extracting a response set from the Public Health Questionnaire [22]. It consists of 7 items and evaluates the intensity of symptoms experienced in the past 2 weeks on a 4-point scale (0 to 3). The total score for GAD-7 ranged from 0 to 21. We used the Japanese version of GAD-7, which has exhibited robust reliability and validity [23]. The severity of the anxiety symptoms based on the GAD-7 score was assessed as follows: a score of 5-9 points indicated mild anxiety, 10-14 points indicated moderate anxiety, and ≥15 points indicated severe anxiety. We adopted GAD-7≥10 as the cut-off value indicating a state of anxiety symptoms.

Statistical Analysis

We first confirmed the response status of all respondents. Following this, we verified those who experienced severe stress related to COVID-19, those who were depressed (K6 score≥13), and those who had severe anxiety symptoms (GAD-7 score≥10). For these 3 indicators, we then excluded respondents with missing values and performed a chi-square test with Bonferroni correction (using the Bonferroni correction, .05 is divided by the number of statistical tests being performed, .05/15=0.00333; therefore, P<.003). Additionally, a residual analysis was carried out to see how the various factors, including occupation type, are interrelated. An adjusted standardized residual >3.29 or <–3.29 was considered significant (P<.001). Then, a logistic regression analysis was performed with each psychological indicator as a dependent variable and demographic factors, including occupation type, as independent variables (statistical significance was defined as P<.05). Variables that were reported to be associated with mental health during the COVID-19 pandemic, in previous studies, were included in the model. Nagelkerke’s R2 was calculated to check the goodness of fit of the logistic regression model. All statistical analyses were performed using the statistical package SPSS Statistics for Windows, version 22.0 (IBM Corp).


Characteristics of the Respondents

The total number of consenting respondents was 8203. Table 1 lists the attributes of all respondents. Of the 8203 total responses, 4692 responses were from females. The age group was widely distributed from teenagers to those older than 60 years, but only 3.9% (324/8203) of the total respondents were aged 60 years and older. Unemployed people comprised 11.8% (971/8203) of the total respondents, and medical and health professionals comprised 11.7% (960/8203) of the employed people. Approximately 34.9% (2861/8203) of the respondents reported that they had been very stressed about COVID-19 over the previous month. During the spread of COVID-19, 52.8% (4333/8203) felt that they were at risk of infection, 46.4% (3808/8203) felt hindered by the lockdown, and 2.1% (175/8203) were bullied or discriminated against because they worked at a hospital that treats patients with COVID-19, which may have exposed them to the risk of infection.

Table 1. Characteristics of the respondents of a nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020 (N=8203).
CharacteristicValues, n (%)
Gender

Female4692 (57.2)

Male2700 (32.9)

Nonbinary128 (1.6)

Unknown683 (8.3)
Age group (years)

Teenage178 (2.2)

20-291543 (18.8)

30-392106 (25.7)

40-492073 (25.3)

50-591296 (15.8)

≥60324 (3.9)

Unknown683 (8.3)
Occupation

Unemployed971 (11.8)

Medical and health960 (11.7)

Education and research754 (9.2)

Student681 (8.3)

Information and communication systems639 (7.8)

Other531 (6.5)

Part-time job494 (6)

Manufacturer444 (5.4)

Entertainment and arts415 (5.1)

Nursing care and welfare392 (4.8)

Government job343 (4.2)

Sales and wholesale343 (4.2)

Infrastructure and construction165 (2)

Finance and insurance142 (1.7)

Food, beverage, and accommodation96 (1.2)

Transportation79 (1)

Agriculture, forestry, and fisheries32 (0.4)

Unknown722 (8.8)
History of psychiatric visits

Currently going to the hospital1148 (14)

History of hospital visit(s)1823 (22.2)

None4420 (53.9)

Other/unknown812 (9.9)
Degree of stress associated with COVID-19

Strongly agree2861 (34.9)

Agree3143 (38.3)

Neither agree nor disagree286 (3.5)

Disagree963 (11.7)

Strongly disagree194 (2.4)

Other756 (9.2)
Severe mental distress

K6a≥131403 (17.1)

K6<135877 (71.6)

Unknown923 (11.3)
Anxiety symptoms

GAD-7b≥101127 (13.7)

GAD-7<105966 (72.7)

Unknown1110 (13.5)
Experience during the spread of the COVID-19 infection

Felt at risk of infection: yes4333 (52.8)

Felt at risk of infection: no3187 (38.9)

Felt at risk of infection: unknown683 (8.3)

Hindered by the lockdown: yes3808 (46.4)

Hindered by the lockdown: no3712 (45.3)

Hindered by the lockdown: unknown683 (8.3)

Being bullied or discriminated against: yes175 (2.1)

Being bullied or discriminated against: no7345 (89.5)

Being bullied or discriminated against: unknown683 (8.3)
Number of effective lifestyle coping mechanisms employed during lockdown

0274 (3.3)

1-31934 (23.6)

4-62872 (35)

7-101467 (17.9)

Unknown1656 (20.2)

aK6: 6-item Kessler Psychological Distress Scale.

bGAD-7: Generalized Anxiety Disorder-7 item.

Perceived Stress, Anxiety Symptoms, and Severe Mental Distress

Respondents without missing responses were divided into groups according to whether they experienced severe stress associated with the COVID-19 pandemic (excluding those who answered “other” on this question, 6363/8203, 77.6% of the respondents), whether they experienced severe mental distress (6424/8203, 78.3% of the respondents), and whether they experienced anxiety symptoms (6424/8203, 78.3% of the respondents). Tables 2, 3, and 4 present the characteristics of each group. In terms of gender, female respondents experienced the most COVID-19–related stress, whereas severe mental distress and anxiety symptoms were the highest in nonbinary respondents. According to age group, COVID-19–related stress was the highest among respondents in their 50s, whereas severe mental distress was the highest among teenagers, and anxiety symptoms were the highest among people in their 20s. Regarding occupation, stress was particularly high for those working in the medical and health fields. Furthermore, severe mental distress was the most common among the unemployed and students. Severe anxiety symptoms were also most commonly reported by the unemployed. Regarding the history of psychiatric visits, those who were currently seeing a psychiatrist comprised the highest percentages of those who reported severe stress, severe mental distress, and anxiety symptoms.

Table 2. Characteristics of those who reported experiencing COVID-19–related severe stress in the nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.
VariablesSevere stress related to COVID-19

Yes (n=2443), n (%)No (n=3920), n (%)P valuea
Gender<.001

Male683 (30.1)b1589 (69.9)b

Female1717 (43.1)b2265 (56.9)b

Nonbinary43 (39.4)66 (60.6)
Age (years)<.001

Teenage36 (27.9)93 (72.1)

20-29452 (35.5)823 (64.5)

30-39655 (36.7)1129 (63.3)

40-49689 (38.4)1103 (61.6)

50-59490 (44.1)b622 (55.9)b

≥60121 (44.6)150 (55.4)
Occupation<.001

Information and communication systems150 (27.5)b396 (72.5)b

Agriculture, forestry, and fisheries9 (29)22 (71)

Transportation20 (29.4)48 (70.6)

Student182 (32)b387 (68)b

Manufacturer122 (32.3)256 (67.7)

Government100 (33.4)199 (66.6)

Unemployed291 (37)495 (63)

Part-time job160 (39.1)249 (60.9)

Finance and insurance45 (37.2)76 (62.8)

Sales and wholesale108 (37.5)180 (62.5)

Infrastructure and construction59 (39.6)90 (60.4)

Food, beverage, and accommodation28 (36.4)49 (63.6)

Other179 (39.3)277 (60.7)

Entertainment and arts149 (42.1)205 (57.9)

Nursing care and welfare149 (44.2)188 (55.8)

Education and research289 (44.2)365 (55.8)

Medical and health403 (47.9)b438 (52.1)b
History of psychiatric visits<.001

None1392 (36.4)b2429 (63.6)b

History of hospital visit(s)620 (39.7)943 (60.3)

Currently going to the hospital431 (44)b548 (56)b
Number of coping mechanisms employed during self-confinement.56

0-3827 (38.4)1326 (61.6)

4-61054 (37.8)1734 (62.2)

7-10562 (39.5)860 (60.5)

aWith Bonferroni correction for the 15 tests, the threshold P value for significance was <.003.

bSignificant at P<.001.

Table 3. Characteristics of those who reported experiencing severe mental distress in the nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.
VariablesSevere mental distress (6-item Kessler Psychological Distress Scale≥13)

Yes (n=1215), n (%)No (n=5209), n (%)P valuea
Gender<.001

Male336 (14.6)b1958 (85.4)b

Female824 (20.5)b3196 (79.5)b

Nonbinary55 (50)b55 (50)b
Age (years)<.001

Teenage42 (32.3)b88 (67.7)b

20-29356 (27.7)b927 (72.3)b

30-39378 (21)1421 (79)

40-49285 (15.7)b1527 (84.3)b

50-59137 (12.2)b986 (87.8)b

≥6017 (6.1)b260 (93.9)b
Occupation<.001

Information and communication systems85 (15.4)466 (84.6)

Agriculture, forestry, and fisheries2 (6.5)29 (93.5)

Transportation14 (20.6)54 (79.4)

Student164 (28.7)b407 (71.3)b

Manufacturer65 (17.1)315 (82.9)

Government53 (17.7)246 (82.3)

Unemployed231 (28.9)b568 (71.1)b

Part-time job93 (22.6)319 (77.4)

Finance and insurance17 (14)104 (86)

Sales and wholesale56 (19.4)233 (80.6)

Infrastructure and construction28 (18.8)121 (81.2)

Food, beverage, and accommodation9 (11.5)69 (88.5)

Other79 (16.8)391 (83.2)

Entertainment and arts88 (24.7)268 (75.3)

Nursing care and welfare58 (17)284 (83)

Education and research93 (14.1)b566 (85.9)b

Medical and health80 (9.4)b769 (90.6)b
History of psychiatric visits<.001

None469 (12.2)b3387 (87.8)b

History of hospital visit(s)321 (20.3)1259 (79.7)

Currently going to the hospital425 (43)b563 (57)b
Number of coping mechanisms employed during self-confinement<.001

0-3544 (25.1)b1620 (74.9)b

4-6491 (17.4)2329 (82.6)

7-10180 (12.5)b1260 (87.5)b

aWith Bonferroni correction for the 15 tests, the threshold P value for significance was <.003.

bSignificant at P<.001.

Table 4. Characteristics of those who reported experiencing anxiety symptoms in the nationwide web-based survey conducted that was to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.
VariablesAnxiety symptoms (Generalized Anxiety Disorder-7 item≥10)

Yes (n=996), n (%)No (n=5428), n (%)P valuea
Gender<.001

Male308 (13.4)b1986 (86.6)b

Female646 (16.1)3374 (83.9)

Nonbinary42 (38.2)b68 (61.8)b
Age (years)<.001

Teenage22 (16.9)108 (83.1)

20-29241 (18.8)b1042 (81.2)b

30-39317 (17.6)1482 (82.4)

40-49242 (13.4)1570 (86.6)

50-59153 (13.6)970 (86.4)

≥6021 (7.6)b256 (92.4)b
Occupation<.001

Information and communication systems64 (11.6)487 (88.4)

Agriculture, forestry, and fisheries1 (3.2)30 (96.8)

Transportation13 (19.1)55 (80.9)

Student100 (17.5)471 (82.5)

Manufacturer51 (13.4)329 (86.6)

Government41 (13.7)258 (86.3)

Unemployed198 (24.8)b601 (75.2)b

Part-time job86 (20.9)326 (79.1)

Finance and insurance13 (10.7)108 (89.3)

Sales and wholesale45 (15.6)244 (84.4)

Infrastructure and construction27 (18.1)122 (81.9)

Food, beverage, and accommodation6 (7.7)72 (92.3)

Other76 (16.2)394 (83.8)

Entertainment and arts69 (19.4)287 (80.6)

Nursing care and welfare49 (14.3)293 (85.7)

Education and research85 (12.9)574 (87.1)

Medical and health72 (8.5)b777 (91.5)b
History of psychiatric visits<.001

None351 (9.1)b3505 (90.9)b

History of hospital visit(s)278 (17.6)1302 (82.4)

Currently going to the hospital367 (37.1)b621 (62.9)b
Number of coping mechanisms employed during self-confinement<.001

0-3437 (20.2)b1727 (79.8)b

4-6396 (14)2424 (86)

7-10163 (11.3)b1277 (88.7)b

aWith Bonferroni correction for the 15 tests, the threshold P value for significance was <.003.

bSignificant at P<.001.

Logistic Regression Analysis of Perceived Stress, Severe Mental Distress, and Anxiety Symptoms

Tables 5, 6, and 7 show the results of the logistic regression analysis for each mental health problem. Women, nonbinary people, part-time workers, those working in entertainment and arts, people who had visited a psychiatrist in the past, and those who were currently under psychiatric care were more likely to have these mental health problems. Teenagers (P=.01) and people in their 20s (P<.001) exhibited a significantly higher probability of experiencing severe mental distress, and people in their 50s (P<.001) and 60s and older (P<.003) exhibited a significantly higher probability of experiencing severe stress related to COVID-19. In contrast, people in their 40s, 50s, and 60s and older exhibited a significantly lower probability of experiencing severe mental distress (P<.001) or feeling anxious (40s: P=.004; 50s: P=.04; 60s and older: P=.002).

In terms of occupation, respondents who felt highly stressed were more likely to be students (P=.03) and those working in sales and wholesale (P=.01), infrastructure and construction (P=.01), nursing and welfare (P<.001), education and research (P<.001), and medical and health sectors (P<.001). Students also exhibited a significantly higher probability of experiencing severe mental distress (P=.01), and people in sales and wholesale (P=.04) and infrastructure and construction (P=.02) also exhibited a significantly higher probability of feeling anxious. However, although unemployed persons did not exhibit a significantly higher probability of experiencing severe stress, they were highly likely to experience severe mental distress and anxiety symptoms (P<.001). Moreover, those who had employed effective lifestyle coping mechanisms during the lockdown period exhibited a significantly lower probability of experiencing severe mental distress or feeling anxious (P<.001).

Table 5. Logistic regression analysis of the COVID-19–related severe stress that was reported in a nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.a
VariableSevere stress related to COVID-19

Odds ratio (95% CI)P value
Gender<.001

Male1.000N/Ab

Female1.693 (1.512-1.895)<.001

Other1.496 (1.002-2.236).049
Age (years)<.001

Teenage0.768 (0.492-1.198).24

20-291.034 (0.875-1.222).69

30-391.000N/A

40-491.075 (0.936-1.234).31

50-591.335 (1.142-1.561)<.001

≥601.505 (1.153-1.966).003
Occupation<.001

Information and communication systems1.000N/A

Agriculture, forestry, and fisheries1.190 (0.530-2.674).67

Transportation1.171 (0.669-2.052).58

Student1.368 (1.025-1.824).03

Manufacturer1.307 (0.978-1.746).07

Government1.278 (0.938-1.740).12

Unemployed1.221 (0.956-1.560).11

Part-time job1.399 (1.060-1.848).02

Finance and insurance1.361 (0.895-2.069).02

Sales and wholesale1.475 (1.084-2.007).01

Infrastructure and construction1.660 (1.132-2.435).01

Food, beverage, and accommodation1.301 (0.784-2.158).31

Other1.486 (1.134-1.946).004

Entertainment and art1.768 (1.327-2.354)<.001

Nursing care and welfare1.828 (1.368-2.443)<.001

Education and research1.946 (1.519-2.494)<.001

Medical and health2.313 (1.826-2.929)<.001
History of psychiatric visits<.001

None1.000N/A

History of hospital visit1.186 (1.047-1.343).007

Currently going to the hospital1.507 (1.296-1.751)<.001
Number of effective coping mechanisms employed during self-confinement0.986 (0.965-1.009).24

aNagelkerke’s R2=0.050.

bN/A: not applicable.

Table 6. Logistic regression analysis of the severe mental distress reported in a nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.a
Variable Severe mental distress (6-item Kessler Psychological Distress Scale≥13), n (%)

Odds ratio (95% CI)P value
Gender<.001

Male1.000N/Ab

Female1.652 (1.421-1.922)<.001

Other4.135 (2.700-6.333)<.001
Age (years)<.001

Teenage1.780 (1.124-2.821).01

20-291.452 (1.194-1.767)<.001

30-391.000N/A

40-490.724 (0.604-0.868)<.001

50-590.529 (0.423-0.663)<.001

≥600.291 (0.173-0.491)<.001
Occupation<.001

Information and communication systems1.000N/A

Agriculture, forestry, and fisheries0.467 (0.106-2.049).31

Transportation1.604 (0.823-3.123).17

Student1.550 (1.104-2.174).01

Manufacturer1.359 (0.936-1.972).11

Government1.167 (0.785-1.735).45

Unemployed1.731 (1.282-2.337)<.001

Part-time job1.428 (1.007-2.026).046

Finance and insurance0.818 (0.452-1.481).51

Sales and wholesale1.472 (0.994-2.181).054

Infrastructure and construction1.369 (0.833-2.250).22

Food, beverage, and accommodation0.769 (0.362-1.633).49

Other1.184 (0.830-1.689).35

Entertainment and art1.856 (1.299-2.651).001

Nursing care and welfare1.124 (0.764-1.655).55

Education and research1.159 (0.827-1.624).39

Medical and health0.717 (0.508-1.010).06
History of psychiatric visits<.001

None1.000N/A

History of hospital visit1.794 (1.524-2.111)<.001

Currently going to the hospital5.006 (4.215-5.945)<.001
Number of effective coping mechanisms employed during self-confinement0.869 (0.843-0.895)<.001

aNagelkerke’s R2=0.192.

bN/A: not applicable.

Table 7. Logistic regression analysis of the anxiety symptoms reported in a nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.a
VariableAnxiety symptoms (Generalized Anxiety Disorder-7 item≥10)

Odds ratio (95% CI)P value
Gender<.001

Male1.000N/Ab

Female1.233 (1.054-1.442).009

Other2.694 (1.746-4.157)<.001
Age (years)<.001

Teenage1.083 (0.624-1.880).78

20-291.127 (0.910-1.396).27

30-391.000N/A

40-490.753 (0.622-0.912).004

50-590.789 (0.632-0.984).04

≥600.471 (0.292-0.759).002
Occupation<.001

Information and communication systems1.000N/A

Agriculture, forestry, and fisheries0.310 (0.041-2.344).26

Transportation1.933 (0.975-3.829).06

Student1.439 (0.982-2.109).06

Manufacturer1.360 (0.905-2.044).14

Government1.212 (0.784-1.874).39

Unemployed1.866 (1.350-2.581)<.001

Part-time job1.809 (1.249-2.619).002

Finance and insurance0.871 (0.453-1.675).68

Sales and wholesale1.576 (1.028-2.417).04

Infrastructure and construction1.803 (1.082-3.033).02

Food, beverage, and accommodation0.698 (0.287-1.693).43

Other1.524 (1.049-2.214).03

Entertainment and art1.896 (1.287-2.794).001

Nursing care and welfare1.253 (0.827-1.899).29

Education and research1.381 (0.963-1.981).08

Medical and health0.902 (0.624-1.303).58
History of psychiatric visits<.001

None1.000N/A

History of hospital visit2.038 (1.713-2.425)<.001

Currently going to the hospital5.133 (4.293-6.136)<.001
Number of effective coping mechanisms employed during self-confinement0.898 (0.871-0.927)<.001

aNagelkerke’s R2=0.147.

bN/A: not applicable.


In this study, we conducted a nationwide web-based questionnaire survey in Japan to shed light on the association between 3 mental health problems related to the COVID-19 pandemic (perceived stress, severe mental distress, and anxiety symptoms) and various factors. The strength of this study is that perceived stress was evaluated subjectively in relation to the COVID-19 pandemic and that various occupations were taken into consideration in evaluating the same. A large portion of the sample experienced stress, severe mental distress, and anxiety symptoms. However, their characteristics and experiences were associated with these problems differently; occupation, in particular, seemed to have a significant impact on these differences. Approximately 73.2% (6004/8203) of the respondents experienced perceived stress related to the COVID-19 pandemic, and 34.9% (2861/8203) of the respondents experienced severe stress. In addition, 17.1% (1403/8203) of the respondents had a score of 13 or higher on the K6 depression scale, and 13.7% (1127/8203) had a score of 10 or higher on the GAD-7 anxiety scale. In a similar study conducted in Japan, 11.5% of the respondents had a K6 score of 13 or higher [13]; prior to this survey being conducted in April 2020, the Government of Japan declared a state of emergency in response to the first wave of the pandemic, and some prefectures were put on a mild lockdown. Given that this study was conducted during the second wave, wherein a subsequent state of emergency was not declared, it is not possible to make a simple comparison due to the difference in conditions. However, due to the prolongation of the COVID-19 pandemic, it has been suggested that the accompanying lifestyle changes may have an adverse effect on mental health. Nevertheless, compared to other countries, the proportion of people in Japan with severe mental distress was not high [24,25]. A similar trend was observed with regard to anxiety [26-28]. It is believed that these tendencies were because the spread of the infection was relatively controlled in Japan compared to other countries at that time.

The results of logistic regression analyses revealed that perceived stress, severe mental distress, and anxiety symptoms related to the COVID-19 pandemic are associated with factors such as gender, age, occupation, history of psychiatric visits, and stress-related coping mechanisms. Factors that have a common negative association with these 3 mental health problems include being a woman and having a history of psychiatric visits. Regarding age, the higher the age, the higher the COVID-19–related stress, whereas severe mental distress and anxiety symptoms were more severe in younger people. Furthermore, the existence of coping mechanisms contributed to the reduction in severe mental distress and anxiety symptoms. These associations have also been reported in previous studies [13,26,29-31].

In terms of occupation, different associations with perceived stress, severe mental distress, and anxiety symptoms that are associated with the COVID-19 pandemic were identified. Since people from the information and communication systems industry experienced relatively good mental health, they were used as a standard for making comparisons. With the spread of COVID-19, the information and communication systems sector has become even more important in the society [32,33]. It has also been reported that in Japan, the rate of people working from home in the telecommunications industry is higher than that for other occupations [34]. These factors may have positively influenced their mental health.

Meanwhile, students had high levels of stress and severe mental distress. Previous studies have also revealed that COVID-19 has adversely affected students’ mental health [35]. In Japan, most schools are forced to close during emergencies. Subsequently, during the lockdown due to the COVID-19 pandemic, classes were conducted online [36]. Student suicide is known to be common at the beginning of the semester [37,38]. These results, coupled with the increase in suicide rate among students since the spread of the second wave of the COVID-19 infection in Japan [39], may have influenced the new web-based school setup during the pandemic. They comprised the category most hindered by the lockdown (see Multimedia Appendix 1).

After students, those from the sectors of the food, beverage, and accommodation; entertainment and arts; education and research; and part-time work comprised a large proportion of people who experienced stress due to the lockdown, though to varied degrees (see Multimedia Appendix 1). The food, beverage, and accommodation industry was one of the sectors that was significantly affected by the COVID-19 pandemic [40], and many felt that they were at risk of infection; however, there were no significant differences in stress (P=.31), severe mental distress (P=.49), or anxiety symptoms (P=.43). This may have been because the Japanese government initiated focused financial support for the food, beverage, and accommodation industry during the survey period [41], though it cannot be denied that this may also be because a relatively small number of people were affected. There were no significant differences in severe mental distress and anxiety symptoms among people working in the field of education and research. This may have been influenced by the fact that relatively few of them felt that they were at risk of infection during the period when this survey was conducted. Meanwhile, the entertainment and arts sectors reported high levels of perceived stress, severe mental distress, and anxiety symptoms. The COVID-19 pandemic was particularly devastating to these sectors due to the rules on social distancing in many countries, the ban on large-scale gatherings, and the need to refrain from going out for nonessential reasons [42,43]. In addition, the news in Japan about a celebrity’s suicide that took place a month before the survey may have had an impact [44]. Furthermore, high levels of perceived stress, severe mental distress, and anxiety symptoms among people working in part-time jobs may be due to their unstable employment and vulnerable positions [45-47].

With regard to occupations such as sales and wholesale as well as infrastructure and construction, the percentage of those who responded that there was a problem due to the lockdown was lower than that in the industries listed above, but perceived stress and anxiety symptoms were higher. Although there was no significant difference, depressive tendencies were also observed. COVID-19 caused a chain of economic impacts in each sector due to supply chain turmoil; this result is believed to be a reflection of those impacts [48]. In the unemployed group, no increase in perceived stress associated with COVID-19 was observed, but severe mental distress and anxiety symptoms were high. We cannot rule out the possibility that the unemployed individuals in our study were unemployed before the spread of COVID-19, and it is possible that they had mental health problems regardless of COVID-19. A previous study reported that unemployment is associated with depression and reduced self-esteem [49]. However, due attention should be paid to the results of this study, as previous studies have also identified unemployment as a risk factor of depression during the COVID-19 pandemic [50].

Nursing care, welfare, medical care, and health care sectors were associated with increased stress due to COVID-19. Since these professions tend to confront COVID-19 directly, it is natural for people working in these sectors to feel the risk of infection and feel highly stressed. In addition, since prejudice and discrimination against health care workers have become a problem [51], the proportion of health care professionals who complained of discrimination was also large in this study. Interestingly, this was not associated with high levels of severe mental distress or anxiety symptoms in this study. There have been numerous reports of deterioration in the mental health of health care professionals during the COVID-19 pandemic [52]. The inconsistency between the results of this study and those of previous studies may be because this study included a small percentage of respondents who were actually engaged in the treatment of patients with COVID-19 [53]. This study did not collect information on whether respondents were infected with COVID-19 or had contact with patients with COVID-19. Our results may also have been affected by the fact that infection was relatively controlled in Japan compared to other countries at the time of the survey. Additionally, having adequate knowledge of COVID-19 [54,55] may also prevent the exacerbation of depression and anxiety.

The limitations of our survey are as follows. First, since it was a web-based questionnaire survey that allowed free participation, sampling bias and the effect of duplicate responses and missing values must be considered. We confirmed that responses were obtained from a wide range of people based on demographic factors such as occupation; however, the groups do not represent the general Japanese population. Second, although the spread of infection changes daily and varies across regions, we did not account for the impact of this in the study. Third, the details regarding the respondents’ occupation, such as whether or not they worked from home, are not clear; therefore, its impact cannot be evaluated. Past studies have reported that worrying about not being able to work from home is associated with poor mental health [56]. Fourth, the actual economic status of each respondent was unknown. Economic status also affects mental health [57]. Fifth, since we did not inquire whether the respondents had ever been infected with COVID-19, we do not know the effect of the respondents’ personal experiences with past infection on their mental health. Sixth, this study focused on perceived stress; however, it did not examine posttraumatic stress. Finally, it is difficult to evaluate the causal relationships since this study adopted a cross-sectional design.

Despite these limitations, the study found that COVID-19–related perceived stress, severe mental distress, and anxiety symptoms—the 3 mental health-related issues—tended to differ by occupation. These gaps indicate the complexity of changes in people’s mental health during the COVID-19 pandemic. These results suggest that there may be 2 main mechanisms underlying mental health problems. One is the direct deterioration of mental health due to the accumulation of stress associated with COVID-19, which is represented by the remarkably high stress in the medical and health professions. This may include fear of infection and overwork in industries where the workload increased with the spread of infection. Burnout among health care workers has become a problem in Western countries, where the number of people infected with COVID-19 is high [58], and priority measures are needed to reduce COVID-19–related stress. The other is the indirect deterioration of mental health as a result of changes in the socioeconomic conditions due to COVID-19. As COVID-19 has become a more prolonged problem than natural disasters, changes in social structure and economic conditions have become more serious and uncertainty about the future is continually increasing. In our study, occupations with high COVID-19–related stress did not necessarily coincide with those experiencing severe mental distress. Although some degree of stress is assumed, it is suggested that those who are socially unstable or vulnerable to change may develop severe mental distress due to the indirect effects of the COVID-19 pandemic. As the second wave of the COVID-19 infection gradually subsides, these people may be excluded from the process of resuming economic and social activities, face severe realities, and may be exposed to a high risk of suicide. To prevent the increase in suicide cases caused by the COVID-19 pandemic, it is ideal to implement socioeconomic and mental health measures focusing on groups that experience high levels of severe mental distress and anxiety symptoms, as pointed out in this study.

In conclusion, gender, age, occupation, history of psychiatric visits, and stress-coping mechanisms were associated with mental health during the COVID-19 pandemic. In particular, in terms of occupations, a strong association with severe mental distress was noted in students, unemployed individuals, part-time workers, and people working in the entertainment and arts industry. Since mental health problems differ depending on the type of occupation, combatting the adverse effects of the COVID-19 pandemic requires more active socioeconomic and preventive mental health measures for those in fields/occupations that have been affected the most by the pandemic. In addition, it will be necessary to conduct further detailed research to clarify how the COVID-19 pandemic causes mental health problems not only at the individual level but also at the occupational level.

Acknowledgments

This study was partly supported by the Research Support Program of the Tackle COVID-19–related emergency problems, University of Tsukuba, and by the Japan Society for the Promotion of Science KAKENHI grant JP21H03156.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Differences in the experiences during the spread of the COVID-19 infection by occupation in a nationwide web-based survey that was conducted to examine the relationship between the COVID-19 pandemic and mental health in Japan in 2020.

DOCX File , 17 KB

  1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020 Feb 15;395(10223):497-506 [FREE Full text] [CrossRef] [Medline]
  2. WHO coronavirus disease (COVID-19) dashboard. World Health Organization. 2020.   URL: https://covid19.who.int/ [accessed 2021-03-01]
  3. Lotfi M, Hamblin MR, Rezaei N. COVID-19: Transmission, prevention, and potential therapeutic opportunities. Clin Chim Acta 2020 Sep;508:254-266 [FREE Full text] [CrossRef] [Medline]
  4. Kissler SM, Tedijanto C, Goldstein E, Grad YH, Lipsitch M. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science 2020 May 22;368(6493):860-868 [FREE Full text] [CrossRef] [Medline]
  5. Holmes EA, O'Connor RC, Perry VH, Tracey I, Wessely S, Arseneault L, et al. Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry 2020 Jun;7(6):547-560 [FREE Full text] [CrossRef] [Medline]
  6. Salari N, Hosseinian-Far A, Jalali R, Vaisi-Raygani A, Rasoulpoor S, Mohammadi M, et al. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis. Global Health 2020 Jul 06;16(1):57 [FREE Full text] [CrossRef] [Medline]
  7. Rajkumar RP. COVID-19 and mental health: A review of the existing literature. Asian J Psychiatr 2020 Aug;52:102066 [FREE Full text] [CrossRef] [Medline]
  8. Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet 2020 Mar 21;395(10228):931-934 [FREE Full text] [CrossRef] [Medline]
  9. Wang Y, Shi L, Que J, Lu Q, Liu L, Lu Z, et al. The impact of quarantine on mental health status among general population in China during the COVID-19 pandemic. Mol Psychiatry 2021 Sep 22;26(9):4813-4822 [FREE Full text] [CrossRef] [Medline]
  10. Sher L. The impact of the COVID-19 pandemic on suicide rates. QJM 2020 Oct 01;113(10):707-712 [FREE Full text] [CrossRef] [Medline]
  11. Xiong J, Lipsitz O, Nasri F, Lui LMW, Gill H, Phan L, et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J Affect Disord 2020 Dec 01;277:55-64 [FREE Full text] [CrossRef] [Medline]
  12. Wu T, Jia X, Shi H, Niu J, Yin X, Xie J, et al. Prevalence of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis. J Affect Disord 2021 Feb 15;281:91-98 [FREE Full text] [CrossRef] [Medline]
  13. Yamamoto T, Uchiumi C, Suzuki N, Yoshimoto J, Murillo-Rodriguez E. The Psychological Impact of 'Mild Lockdown' in Japan during the COVID-19 Pandemic: A Nationwide Survey under a Declared State of Emergency. Int J Environ Res Public Health 2020 Dec 15;17(24):9382 [FREE Full text] [CrossRef] [Medline]
  14. Tanaka T, Okamoto S. Increase in suicide following an initial decline during the COVID-19 pandemic in Japan. Nat Hum Behav 2021 Feb;5(2):229-238. [CrossRef] [Medline]
  15. Hossain MM, Tasnim S, Sultana A, Faizah F, Mazumder H, Zou L, et al. Epidemiology of mental health problems in COVID-19: a review. F1000Res 2020;9:636 [FREE Full text] [CrossRef] [Medline]
  16. Wu M, Han H, Lin T, Chen M, Wu J, Du X, et al. Prevalence and risk factors of mental distress in China during the outbreak of COVID-19: A national cross-sectional survey. Brain Behav 2020 Nov;10(11):e01818 [FREE Full text] [CrossRef] [Medline]
  17. Giorgi G, Lecca LI, Alessio F, Finstad GL, Bondanini G, Lulli LG, et al. COVID-19-Related Mental Health Effects in the Workplace: A Narrative Review. Int J Environ Res Public Health 2020 Oct 27;17(21):7857 [FREE Full text] [CrossRef] [Medline]
  18. Ahorsu DK, Lin C, Imani V, Saffari M, Griffiths MD, Pakpour AH. The Fear of COVID-19 Scale: Development and Initial Validation. Int J Ment Health Addict 2020 Mar 27:1-9 [FREE Full text] [CrossRef] [Medline]
  19. SurveyMonkey user manual. SurveyMonkey. 2021.   URL: https://s3.amazonaws.com/SurveyMonkeyFiles/UserManual.pdf [accessed 2021-03-01]
  20. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, et al. Screening for serious mental illness in the general population. Arch Gen Psychiatry 2003 Feb;60(2):184-189. [CrossRef] [Medline]
  21. Furukawa TA, Kawakami N, Saitoh M, Ono Y, Nakane Y, Nakamura Y, et al. The performance of the Japanese version of the K6 and K10 in the World Mental Health Survey Japan. Int J Methods Psychiatr Res 2008;17(3):152-158 [FREE Full text] [CrossRef] [Medline]
  22. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 2006 May 22;166(10):1092-1097. [CrossRef] [Medline]
  23. Muramatsu K. An up-to-date letter in the Japanese version of PHQ, PHQ-9, PHQ-15. Niigata Seiryo University Graduate School of Clinical Psychology Research 2014;7:35-39. [CrossRef]
  24. Yu H, Li M, Li Z, Xiang W, Yuan Y, Liu Y, et al. Coping style, social support and psychological distress in the general Chinese population in the early stages of the COVID-19 epidemic. BMC Psychiatry 2020 Aug 27;20(1):426 [FREE Full text] [CrossRef] [Medline]
  25. Goodwin R, Hou WK, Sun S, Ben-Ezra M. Psychological and behavioural responses to COVID-19: a China-Britain comparison. J Epidemiol Community Health 2021 Feb;75(2):189-192. [CrossRef] [Medline]
  26. Nwachukwu I, Nkire N, Shalaby R, Hrabok M, Vuong W, Gusnowski A, et al. COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada. Int J Environ Res Public Health 2020 Sep 01;17(17):6366 [FREE Full text] [CrossRef] [Medline]
  27. Pieh C, Budimir S, Probst T. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res 2020 Sep;136:110186 [FREE Full text] [CrossRef] [Medline]
  28. Parlapani E, Holeva V, Voitsidis P, Blekas A, Gliatas I, Porfyri GN, et al. Psychological and Behavioral Responses to the COVID-19 Pandemic in Greece. Front Psychiatry 2020;11:821 [FREE Full text] [CrossRef] [Medline]
  29. Özdin S, Bayrak Özdin Ş. Levels and predictors of anxiety, depression and health anxiety during COVID-19 pandemic in Turkish society: The importance of gender. Int J Soc Psychiatry 2020 Aug;66(5):504-511 [FREE Full text] [CrossRef] [Medline]
  30. Khan AA, Lodhi FS, Rabbani U, Ahmed Z, Abrar S, Arshad S, et al. Impact of Coronavirus Disease (COVID-19) Pandemic on Psychological Well-Being of the Pakistani General Population. Front Psychiatry 2020;11:564364 [FREE Full text] [CrossRef] [Medline]
  31. Pearman A, Hughes ML, Smith EL, Neupert SD. Age Differences in Risk and Resilience Factors in COVID-19-Related Stress. J Gerontol B Psychol Sci Soc Sci 2021 Jan 18;76(2):e38-e44 [FREE Full text] [CrossRef] [Medline]
  32. OECD Digital Economy Outlook 2020. Organisation for Economic Co-operation and Development iLibrary. 2020 Nov 27.   URL: https://www.oecd-ilibrary.org/science-and-technology/oecd-digital-economy-outlook-2020_bb167041-en [accessed 2021-03-01]
  33. Evans C. The coronavirus crisis and the technology sector. Bus Econ 2020 Nov 23:1-14 [FREE Full text] [CrossRef] [Medline]
  34. The current situation regarding telework. Japanese Ministry of Health, Labor and Welfare.   URL: https://www.mhlw.go.jp/content/11911500/000662173.pdf [accessed 2021-03-01]
  35. Wathelet M, Duhem S, Vaiva G, Baubet T, Habran E, Veerapa E, et al. Factors Associated With Mental Health Disorders Among University Students in France Confined During the COVID-19 Pandemic. JAMA Netw Open 2020 Oct 01;3(10):e2025591 [FREE Full text] [CrossRef] [Medline]
  36. [COVID-19]Information about MEXT’s measures. Japanese Ministry of Education, Culture, Sports, Science and Technology.   URL: https://www.mext.go.jp/en/mext_00006.html [accessed 2021-03-01]
  37. Matsubayashi T, Ueda M, Yoshikawa K. School and seasonality in youth suicide: evidence from Japan. J Epidemiol Community Health 2016 Nov;70(11):1122-1127. [CrossRef] [Medline]
  38. Shinsugi C, Stickley A, Konishi S, Ng CFS, Watanabe C. Seasonality of child and adolescent injury mortality in Japan, 2000-2010. Environ Health Prev Med 2015 Jan;20(1):36-43 [FREE Full text] [CrossRef] [Medline]
  39. Sakamoto H, Ishikane M, Ghaznavi C, Ueda P. Assessment of Suicide in Japan During the COVID-19 Pandemic vs Previous Years. JAMA Netw Open 2021 Feb 01;4(2):e2037378 [FREE Full text] [CrossRef] [Medline]
  40. Davahli MR, Karwowski W, Sonmez S, Apostolopoulos Y. The Hospitality Industry in the Face of the COVID-19 Pandemic: Current Topics and Research Methods. Int J Environ Res Public Health 2020 Oct 09;17(20):7366 [FREE Full text] [CrossRef] [Medline]
  41. COVID-19 special site. Japan Broadcasting Corporation.   URL: https://www3.nhk.or.jp/news/special/coronavirus/ [accessed 2021-03-01]
  42. Khan KS, Mamun MA, Griffiths MD, Ullah I. The Mental Health Impact of the COVID-19 Pandemic Across Different Cohorts. Int J Ment Health Addict 2020 Jul 09:1-7 [FREE Full text] [CrossRef] [Medline]
  43. Culture shock: COVID-19 and the cultural and creative sectors. Organisation for Economic Co-operation and Development. 2020 Sep 7.   URL: http:/​/www.​oecd.org/​coronavirus/​policy-responses/​culture-shock-covid-19-and-the-cultural-and-creative-sectors-08da9e0e/​ [accessed 2021-03-01]
  44. Nomura S, Kawashima T, Yoneoka D, Tanoue Y, Eguchi A, Gilmour S, et al. Trends in suicide in Japan by gender during the COVID-19 pandemic, up to September 2020. Psychiatry Res 2021 Jan;295:113622 [FREE Full text] [CrossRef] [Medline]
  45. Mimoun E, Ben Ari A, Margalit D. Psychological aspects of employment instability during the COVID-19 pandemic. Psychol Trauma 2020 Aug;12(S1):S183-S185. [CrossRef] [Medline]
  46. Ueda M, Stickley A, Sueki H, Matsubayashi T. Mental health status of the general population in Japan during the COVID-19 pandemic. Psychiatry Clin Neurosci 2020 Sep;74(9):505-506 [FREE Full text] [CrossRef] [Medline]
  47. Dooley D, Prause J, Ham-Rowbottom KA. Underemployment and depression: longitudinal relationships. J Health Soc Behav 2000 Dec;41(4):421-436. [Medline]
  48. Islam MM, Jannat A, Al Rafi DA, Aruga K. Potential Economic Impacts of the COVID-19 Pandemic on South Asian Economies: A Review. World 2020 Dec 03;1(3):283-299. [CrossRef]
  49. Brown DW, Balluz LS, Ford ES, Giles WH, Strine TW, Moriarty DG, et al. Associations between short- and long-term unemployment and frequent mental distress among a national sample of men and women. J Occup Environ Med 2003 Nov;45(11):1159-1166. [CrossRef] [Medline]
  50. Achdut N, Refaeli T. Unemployment and Psychological Distress among Young People during the COVID-19 Pandemic: Psychological Resources and Risk Factors. Int J Environ Res Public Health 2020 Sep 30;17(19):7163 [FREE Full text] [CrossRef] [Medline]
  51. Singh R, Subedi M. COVID-19 and stigma: Social discrimination towards frontline healthcare providers and COVID-19 recovered patients in Nepal. Asian J Psychiatr 2020 Oct;53:102222 [FREE Full text] [CrossRef] [Medline]
  52. Muller AE, Hafstad EV, Himmels JPW, Smedslund G, Flottorp S, Stensland, et al. The mental health impact of the covid-19 pandemic on healthcare workers, and interventions to help them: A rapid systematic review. Psychiatry Res 2020 Nov;293:113441 [FREE Full text] [CrossRef] [Medline]
  53. Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, et al. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw Open 2020 Mar 02;3(3):e203976 [FREE Full text] [CrossRef] [Medline]
  54. Cag Y, Erdem H, Gormez A, Ankarali H, Hargreaves S, Ferreira-Coimbra J, et al. Anxiety among front-line health-care workers supporting patients with COVID-19: A global survey. Gen Hosp Psychiatry 2021;68:90-96 [FREE Full text] [CrossRef] [Medline]
  55. Galić M, Mustapić L, Šimunić A, Sić L, Cipolletta S. COVID-19 Related Knowledge and Mental Health: Case of Croatia. Front Psychol 2020;11:567368 [FREE Full text] [CrossRef] [Medline]
  56. Choi EPH, Hui BPH, Wan EYF. Depression and Anxiety in Hong Kong during COVID-19. Int J Environ Res Public Health 2020 May 25;17(10):3740 [FREE Full text] [CrossRef] [Medline]
  57. Pierce M, Hope H, Ford T, Hatch S, Hotopf M, John A, et al. Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatry 2020 Oct;7(10):883-892 [FREE Full text] [CrossRef] [Medline]
  58. Barello S, Palamenghi L, Graffigna G. Burnout and somatic symptoms among frontline healthcare professionals at the peak of the Italian COVID-19 pandemic. Psychiatry Res 2020 Aug;290:113129 [FREE Full text] [CrossRef] [Medline]


GAD-7: Generalized Anxiety Disorder-7 item
K6: 6-item Kessler Psychological Distress Scale


Edited by T Sanchez; submitted 27.04.21; peer-reviewed by R Ismail, RP Rajkumar; comments to author 05.08.21; revised version received 13.09.21; accepted 12.10.21; published 22.11.21

Copyright

©Haruhiko Midorikawa, Hirokazu Tachikawa, Takaya Taguchi, Yuki Shiratori, Asumi Takahashi, Sho Takahashi, Kiyotaka Nemoto, Tetsuaki Arai. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 22.11.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.