Evidence map›Paper›PMID 34653018›Full record

ArticleJMIR public health and surveillance2021

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

Haruhiko Midorikawa, Hirokazu Tachikawa, Takaya Taguchi, Yuki Shiratori, Asumi Takahashi, Sho Takahashi, Kiyotaka Nemoto, Tetsuaki Arai

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Haruhiko MidorikawaGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0003-1329-0046
Hirokazu TachikawaDepartment of Disaster and Community Psychiatry, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0001-8809-3472
Takaya TaguchiIbaraki Prefectural Medical Center of Psychiatry, Kasama, Japan.ORCID 0000-0002-4246-2612
Yuki ShiratoriTsukuba University Health Center, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0003-3269-4169
Asumi TakahashiSchool of Humanities, Hokusei Gakuen University, Sapporo, Japan.ORCID 0000-0003-3076-889X
Sho TakahashiDepartment of Disaster and Community Psychiatry, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0002-2970-6408
Kiyotaka NemotoDepartment of Psychiatry, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0001-8623-9829
Tetsuaki AraiDepartment of Psychiatry, University of Tsukuba, Tsukuba, Japan.ORCID 0000-0003-4355-3900
University of Tsukuba · JPHokusei Gakuen University · JPIbaraki Prefectural Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

objectiveThe 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.

methodsA 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.

resultsA 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.

conclusionsGender, 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.

Indexed as

COVID-19AdolescentAnxietyCommunicable Disease ControlCross-Sectional StudiesDemographyDepressionFemaleHumansInternetJapanPandemicsSARS-CoV-2Stress, PsychologicalanxietyCOVID-19demographic factorsdepressionepidemiologymental healthoccupationoccupational healthpublic healthstress

Identifiers

PMID34653018
PMCPMC8610490
OpenAlexW3207557273

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.