Evidence map›Paper›PMID 32961409›Full record

ArticleJournal of affective disorders2021

Anxiety and depression symptoms of medical staff under COVID-19 epidemic in China.

Yuan Liu, Hongguang Chen, Nan Zhang, Xing Wang, Qinyi Fan, Yuling Zhang, Liping Huang, Bo Hu, Mengqian Li

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 6 pooled it
10.9field-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

95 citing papers in PubMed, 6 syntheses or guidelines pooled it, 161 citations in OpenAlex.

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  4. 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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  5. Prevalence of Psychological Impacts on Healthcare Providers during COVID-19 Pandemic in Asia.International journal of environmental research and public health · 2021
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35 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

9 authors at 4 institutions in 1 country.

Yuan LiuDepartment of Psychosomatic medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Hongguang ChenPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100083, China.
Nan ZhangDepartment of Psychosomatic medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Xing WangMedical Experimental Teaching Center of Nanchang University, Nanchang 330031, China.
Qinyi FanHarbin First Special Hospital, Harbin 150056, China.
Yuling ZhangInfectious Disease Hospital of Heilongjiang Province, Heilongjiang 150500, China.
Liping HuangDepartment of Psychosomatic medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Bo HuDepartment of Psychosomatic medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China. Electronic address: hubo7829@163.com.
Mengqian LiDepartment of Psychosomatic medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China. Electronic address: limengqian@126.com.
First Affiliated Hospital of Nanchang University · CNNanchang University · CNHeilongjiang Provincial Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that unexpected pandemic has led to an increase in mental health problems among a variety of populations.

methodsIn this study, an online non-probability sample survey was used to anonymously investigate the anxiety and depression symptoms among medical staff under the COVID-19 outbreak. The questionnaire included Perceived Stress Scale-10 (PSS-10), Generalized Anxiety Disorder 7-Item Scale (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). Factors associated with anxiety and depression symptoms were estimated by logistic regression analysis.

resultsA total of 1090 medical staff were investigated in this study. The estimated self-reported rates of anxiety symptoms, depression symptoms and both of the two were 13.3%, 18.4% and 23.9% respectively. Factors associated with self-reported anxiety symptoms include married status (OR=2.3, 95%CI: 1.2, 4.4), not living alone (OR=0.4, 95%CI: 0.2, 0.7), never confiding their troubles to others (OR=2.2, 95%CI: 1.4, 3.5) and higher stress (OR=14.4, 95%CI: 7.8, 26.4). Factors associated with self-reported depression symptoms include not living alone (OR=0.4, 95%CI: 0.3, 0.7), sometimes/often getting care from neighbours (OR=0.6, 95%CI: 0.4, 0.9), never confiding their troubles to others (OR=2.0, 95%CI: 1.3, 3.0) and higher stress (OR=9.7, 95%CI: 6.2, 15.2). LIMITATIONS: The study was a non-probability sample survey. Besides, scales used in this study can only identify mental health states.

conclusionsUnder outbreak of COVID-19, self-reported rates of anxiety symptoms and depression symptoms were high in investigated medical staff. Psychological interventions for those at high risk with common mental problems should be integrated into the work plan to fight against the epidemic.

Indexed as

AdultAnxiety DisordersChinaCOVID-19Cross-Sectional StudiesDepressive DisorderFemaleHumansMaleMedical StaffPandemicsPatient Health QuestionnairePrevalenceAnxietyCorrelatorsDepressionMedical staffMental healthStress

Identifiers

PMID32961409
PMCPMC7475769
OpenAlexW3083926397

What OpenQuestion holds

Textmetadata
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.