Evidence map›Paper›PMID 32886066›Full record

ArticleJournal of medical Internet research2020

Depression and Psychological-Behavioral Responses Among the General Public in China During the Early Stages of the COVID-19 Pandemic: Survey Study.

Weiyu Zhang, Xiaoting Yang, Jinfeng Zhao, Fengzhi Yang, Yajing Jia, Can Cui, Xiaoshi Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  10. Normalized COVID-19 prevention and control management.Journal of family medicine and primary care · 2022
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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

7 authors at 2 institutions in 2 countries.

Weiyu ZhangDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, China.ORCID 0000-0001-5244-8235
Xiaoting YangDepartment of Gastroenterology, Benxi General Hospital, Liaoning Health Industry Group, Benxi, China.ORCID 0000-0001-9063-3570
Jinfeng ZhaoThe University of Auckland, Auckland, New Zealand.ORCID 0000-0002-8458-8379
Fengzhi YangDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, China.ORCID 0000-0003-4963-6475
Yajing JiaDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, China.ORCID 0000-0002-6817-4328
Can CuiDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, China.ORCID 0000-0003-4917-9606
Xiaoshi YangDepartment of Social Medicine, School of Public Health, China Medical University, Shenyang, China.ORCID 0000-0003-1426-128X
China Medical University · CNUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has recently spread dramatically worldwide, raising considerable concerns and resulting in detrimental effects on the psychological health of people who are vulnerable to the disease. Therefore, assessment of depression in members of the general public and their psychological and behavioral responses is essential for the maintenance of health.

objectiveThis study aimed to assess the prevalence of depression and the associated factors among the general public during the early stages of the COVID-19 pandemic in China.

methodsA cross-sectional survey with convenience sampling was conducted from February 11 to 16, 2020, in the early stages of the COVID-19 outbreak in China. A self-administrated smartphone questionnaire based on the Patient Health Questionnaire-9 (PHQ-9) and psychological and behavioral responses was distributed to the general public. Hierarchical multiple regression analysis and multivariate logistic regression analysis were conducted to explore the associated factors of depression.aA cross-sectional survey with convenience sampling was conducted from February 11 to 16, 2020, in the early stages of the COVID-19 outbreak in China. A self-administrated smartphone questionnaire based on the Patient Health Questionnaire-9 (PHQ-9) and psychological and behavioral responses was distributed to the general public. Hierarchical multiple regression analysis and multivariate logistic regression analysis were conducted to explore the associated factors of depression.

resultsThe prevalence of depression (PHQ-9 score ≥10) among the general public during the COVID-19 pandemic was 182/1342 (13.6%). Regression analysis indicated that feeling stressed, feeling helpless, persistently being worried even with support, never feeling clean after disinfecting, scrubbing hands and items repeatedly, hoarding food, medicine, or daily supplies, and being distracted from work or study were positively associated with depression, while social support and being calm were negatively associated with depression.

conclusionsThe general public suffered from high levels of depression during the early stages of the COVID-19 pandemic. Thus, COVID-19-related mood management and social support should be provided to attenuate depression in the general public.

Indexed as

Health SurveysPandemicsAdultAnxietyBetacoronavirusChinaCoronavirus InfectionsCOVID-19Cross-Sectional StudiesDepressionFemaleHumansMaleMental HealthPneumonia, ViralPrevalenceCOVID-19depressionsocial supportthe general public

Identifiers

PMID32886066
PMCPMC7501583
OpenAlexW3082558596

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.