Evidence map›Paper›PMID 39506718›Full record

ArticleBMC psychiatry2024

Gender differences and mental distress during COVID-19: a cross-sectional study in Japan.

Takumi Kanata, Kazuyoshi Takeda, Takeshi Fujii, Ryo Iwata, Fumikazu Hiyoshi, Yuka Iijima, Tomohiro Nakao, Keitaro Murayama, Koichiro Watanabe, Toshiaki Kikuchi and 10 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

20 authors.

Takumi KanataDepartment of Clinical Data Science, Clinical Research & Education Promotion Division, National Center of Neurology and Psychiatry, Tokyo, Japan.
Kazuyoshi TakedaDepartment of Clinical Data Science, Clinical Research & Education Promotion Division, National Center of Neurology and Psychiatry, Tokyo, Japan.
Takeshi FujiiDepartment of Psychiatry, National Center of Neurology and Psychiatry, Tokyo, Japan.
Ryo IwataNational Center for Cognitive Behavior Therapy and Research, National Center of Neurology and Psychiatry, Tokyo, Japan.
Fumikazu HiyoshiNational Center for Cognitive Behavior Therapy and Research, National Center of Neurology and Psychiatry, Tokyo, Japan.
Yuka IijimaDepartment of Clinical Medicine, Shanghai Medical College of Fudan University, Shanghai, China.
Tomohiro NakaoDepartment of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Keitaro MurayamaDepartment of Neuropsychiatry, Kyushu University Hospital, Fukuoka, Japan.
Koichiro WatanabeDepartment of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan.
Toshiaki KikuchiDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Asuka YoshimiYokohama City University Medical Center, Yokohama, Japan.
Akitoyo HishimotoDepartment of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.
Hitoshi HirataDepartment of Personalized Medical Technology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Norio OzakiPathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shinsuke KitoDepartment of Psychiatry, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hironori KugaNational Center for Cognitive Behavior Therapy and Research, National Center of Neurology and Psychiatry, Tokyo, Japan.
Mari ObaDepartment of Clinical Data Science, Clinical Research & Education Promotion Division, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hideki OiDepartment of Clinical Data Science, Clinical Research & Education Promotion Division, National Center of Neurology and Psychiatry, Tokyo, Japan.
Kazuyuki NakagomeNational Center of Neurology and Psychiatry, 4-1-1 Ogawa- higashi, Kodaira, Tokyo, 187-0031, Japan. nakagome@ncnp.go.jp.

Funding

Japan Agency for Medical Research and Development JP20dk0307099
6 · The paper itself

Abstract

backgroundTo identify risk factors for mental distress and investigate whether the factors were different between men and women during the coronavirus disease 2019 (COVID-19), using KOKOROBO data, which is an online platform that aims to facilitate access to mental health services.

methodsWe used baseline data on KOKOROBO users 13 years of age or older in Japan who accessed it from October 11, 2021, to April 6, 2023, excluding those receiving treatment for mental health problems. Global severity, based on the most severe measure on Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI), was analyzed using multivariable logistic regression with baseline characteristics for each gender, and for under 30 and 30 years of age or older in women. We conducted the same analysis of suicidal ideation for each gender.

resultsIn the 686 men and 1274 women, 117 (17.1%) and 100 (7.8%) had minimal global severity respectively, and the rest suffered from mental distress to some extent. For women, ages under 30 years (adjusted OR (aOR): 0.352, 95%CI: 0.231-0.539, P < 0.001), marriage (aOR: 0.453, 95%CI: 0.274-0.746, P = 0.002), and concerns about COVID-19 infection were associated with global severity, while having children (aOR: 0.509, 95% CI: 0.284-0.909, P = 0.023) and decrease of going out during the COVID-19 pandemic had a protective effect on global severity and suicidal ideation for men, respectively. Living with family was a risk factor for mental distress in unmarried women over 30 years of age. Less communication with family or others and responding to the questionnaire late at night (00:00-05:59) were associated with severe global severity in both genders.

conclusionsAge, living arrangement, marriage, having children, concerns about COVID-19 infection, and lifestyle changes during the COVID-19 pandemic had gender-specific effects on mental distress, while frequent communication and regular life rhythm maintained mental health in both genders. Young women and, unmarried middle-aged women living with their families tended to experience mental distress during the COVID-19 pandemic.

trial registrationThe Ethics Committee of the National Center of Neurology and Psychiatry approved this study (approval number B2020141) on April 15, 2021.

Indexed as

COVID-19Psychological DistressAdolescentAdultAgedCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedRisk FactorsSeverity of Illness IndexSex FactorsStress, PsychologicalSuicidal IdeationCOVID-19Gender differencesMental HealthOnline systemRisk factors

Identifiers

PMID39506718
PMCPMC11539831

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.