Evidence map›Paper›PMID 33726704›Full record

ArticleBMC psychiatry2021

The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method.

Hongyan Wang, Xiaoling Dai, Zichuan Yao, Xianqing Zhu, Yunzhong Jiang, Jia Li, Bin Han

Abstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Hongyan WangDepartment of Thoracic Surgery, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-9612-2824
Xiaoling DaiDepartment of Urology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China.ORCID 0000-0001-8846-0885
Zichuan YaoDepartment of Urology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China.ORCID 0000-0003-0512-4136
Xianqing ZhuDepartment of Urology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China.ORCID 0000-0002-5781-297X
Yunzhong JiangDepartment of Urology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China.ORCID 0000-0001-8127-633X
Jia LiDepartment of Urology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China. lijiacmu@163.com.ORCID 0000-0002-5965-3829
Bin HanDepartment of Urology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China. hanbincmu81@163.com.ORCID 0000-0003-3604-346X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic.

methodsThis cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression.

resultsOf the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384-1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805-0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286-0.920).

conclusionsThis study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

Indexed as

COVID-19PandemicsAnxietyCross-Sectional StudiesDepressionHumansPrevalencePropensity ScoreRisk FactorsSARS-CoV-2Depressive symptomsNursePsychological capitalSleep quality, depression

Identifiers

PMID33726704
PMCPMC7961324

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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.