Evidence map›Paper›PMID 39819465›Full record

ArticleBMC nursing2025

Prevalence and correlates of severe anxiety among front-line nurses during and after the COVID-19 pandemic: a large-scale multi-center study.

Shutong Yang, Qingling Hao, Hongyu Sun, Yuan Yang, Jiao Liu, Cui Li, Yunsheng Fu, Cong Yao, Guoshuai Luo

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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.

Shutong Yang *Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Qingling Hao *Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Hongyu Sun *Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Yuan YangLaboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Jiao LiuLaboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Cui LiDepartment of Civil Engineering, Nanjing Technical Vocational College, 58 Huangshan Rd, Nanjing, 210019, China.
Yunsheng FuKing's College London, Strand, London, WC2R 2LS, UK.
Cong YaoLaboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Guoshuai LuoLaboratory of Biological Psychiatry, Tianjin Anding Hospital, Institute of Mental Health, Center for Psychiatry of Tianjin University, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China. luoguoshuai_tijmu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses have been at the forefront of the battle against the COVID-19 pandemic, facing extended work hours and heightened stress, predisposing them to psychological distress. This study aims to investigate the prevalence and correlates of severe anxiety among frontline nurses in China during and after the COVID-19 pandemic.

methodsA large-scale multi-center survey was conducted from November to December 2022 and from April to July 2023. Data were collected using online surveys, covering demographic characteristics, job-related factors, anxiety, depression, and sleep disorders. Statistical analyses, including chi-square tests, t-tests, and logistic regression, were performed to assess the incidence and factors influencing severe anxiety.

resultsThe study included 816 nurses during the pandemic and 763 nurses after the pandemic. The prevalence of severe anxiety during the pandemic (52.3%) was significantly higher than after the pandemic (8.0%). Factors such as nursing title, night shift frequency, educational level, exercise frequency, COVID-19 infection status, economic pressure, and work pressure showed significant differences between the two periods. Binary logistic regression revealed associations between severe anxiety and factors such as night shift frequency, COVID-19 infection status, nursing title, depression, and sleep disorders. Receiver Operating Characteristic analysis demonstrated good predictive value for severe anxiety.

conclusionThe study underscores the importance of understanding and addressing severe anxiety among frontline nurses during and after the COVID-19 pandemic. Future research should delve into long-term psychological effects and implement effective intervention measures to support nurses' mental health.

Indexed as

COVID-19 pandemicFront-line nursesMental healthMulti-center surveySevere anxiety

Identifiers

PMID39819465
PMCPMC11736933

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.