Evidence map›Paper›PMID 32335579›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Comparison of Prevalence and Associated Factors of Anxiety and Depression Among People Affected by versus People Unaffected by Quarantine During the COVID-19 Epidemic in Southwestern China.

Lei Lei, Xiaoming Huang, Shuai Zhang, Jinrong Yang, Lin Yang, Min Xu

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 375 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
375citing papers in PubMed, 9 pooled it
71.0field-weighted citation impact, top 1% 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

375 citing papers in PubMed, 9 syntheses or guidelines pooled it, 892 citations in OpenAlex.

  1. Predictors of Anxiety, Depression, and Stress in Long COVID: Systematic Review of Prevalence.International journal of environmental research and public health · 2025
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  8. Anxiety Linked to COVID-19: A Systematic Review Comparing Anxiety Rates in Different Populations.International journal of environmental research and public health · 2022
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  10. Article
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  14. The (un-)Social Brain in Isolation.Physiological research · 2025
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315 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Lei LeiDepartment of Pediatric Intensive Care Unit, Nursing Department, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).
Xiaoming HuangDepartment of Pediatric Intensive Care Unit, Nursing Department, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).
Shuai ZhangDepartment of Pediatric Intensive Care Unit, Nursing Department, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).
Jinrong YangDepartment of Pediatric Intensive Care Unit, Nursing Department, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).
Lin YangDepartment of Pediatric Intensive Care Unit, Nursing Department, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).
Min XuDepartment of Pediatric Intensive Care Unit, Nursing Department, West China Second University Hospital of Sichuan University, Chengdu, Sichuan, China (mainland).
Sichuan University · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND At the end of 2019, the COVID-19 outbreak began in Wuhan, Hubei, China, and spread rapidly to the whole country within 1 month. This new epidemic caused a great mental reaction among the public. This study aimed to assess and compare the prevalence and associated factors of anxiety and depression among the public affected by quarantine and those unaffected during the COVID-19 outbreak in southwestern China in early Feb. 2020. MATERIAL AND METHODS Data were collected using the self-rating anxiety scale (SAS) and the self-rating depression scale (SDS) administered to 1593 respondents aged 18 years and above. The respondents were grouped as 'affected group' and 'unaffected group' on the basis of whether they or their families/colleagues/classmates/neighbors had been quarantined. RESULTS Among 1593 participants, the prevalence of anxiety and depression was approximately 8.3% and 14.6%, respectively, and the prevalence in the affected group (12.9%, 22.4%) was significantly higher than that in the unaffected group (6.7%, 11.9%). Lower average household income, lower education level, having a higher self-evaluated level of knowledge, being more worried about being infected, having no psychological support, greater property damage, and lower self-perceived health condition were significant associated with higher scores on the SAS and SDS. People living in Chongqing had higher SAS and SDS scores than those living in Yunnan Province. CONCLUSIONS The prevalence of anxiety and depression of the affected group are higher than in the unaffected group during the COVID-19 outbreak in southwestern China in early Feb. 2020. The government should focus more on providing economic and medical support to improve the general population's mental state.

Indexed as

AnxietyCoronavirus InfectionsDepressionPandemicsPneumonia, ViralQuarantineAdultAgedBetacoronavirusChinaCOVID-19FemaleHumansMaleMiddle AgedSARS-CoV-2

Identifiers

PMID32335579
PMCPMC7199435
OpenAlexW3020377681

What OpenQuestion 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 OpenQuestion graph.