Evidence map›Paper›PMID 41286936›Full record

ArticleBMC nursing2025

Cohort profile: the nurses' mental health study.

Dan Zhang, Qiang Yu, Meng Ning, Jiaxin Yang, Xuting Li, Zengyu Chen, Chongmei Huang, Yiting Liu, Zhenhui Ren, Chunhui Bin and 3 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Dan ZhangHunan Provincial People's Hospital and The First-Affiliated Hospital of Hunan Normal University, 61 Jiefang West Road, Changsha, Hunan, 410005, China.
Qiang YuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Meng NingXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Jiaxin YangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xuting LiClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zengyu ChenSchool of Nursing, University of Washington-Seattle, Seattle, WA, USA.
Chongmei HuangSchool of Nursing, Ningxia Medical University, Yinchuan, Ningxia, China.
Yiting LiuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhenhui RenXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Chunhui BinXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Jianghao YuanXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Yamin Li *Hunan Provincial People's Hospital and The First-Affiliated Hospital of Hunan Normal University, 61 Jiefang West Road, Changsha, Hunan, 410005, China. amin5433@163.com.
Yusheng Tian *Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. tianyusheng@csu.edu.cn.

Funding

Chinese Nursing Association ZHKY202306Health Research Project of the Health Commission of Hunan Province W20243200National Natural Science Foundation of China 82371553STI2030-Major Projects 2021ZD0200700
6 · The paper itself

Abstract

backgroundOwing to the special nature of work and practice environment, nurses face relatively higher mental health risks. The mental health problems of nurses in China's tertiary hospitals are particularly prominent. However, nationally representative longitudinal data on nurses' mental health in China are lacking. The present paper describes the design and initial findings of the Nurses' Mental Health Study (NMHS).

methodsThe study population comprised registered nurses employed at 67 tertiary hospitals across 31 provinces in mainland China. Survey content covers sociodemographic information, work-related factors, health status, lifestyle habits, objective experiences, family and social relationships, current affairs opinions, overall evaluation, and identity information. Data are collected annually and have been collected twice to date, with an initial follow-up period of five years.

resultsThe baseline survey (December 2023-January 2024) collected 132,910 valid questionnaires (effective response rate 89.9%, 93.5% female, ages 18-65 years), and the first follow-up (December 2024-January 2025) collected 131,713 valid questionnaires (effective response rate 90.8%, 92.9% female, ages 18-66 years). A total of 84,252 questionnaires were successfully matched between baseline and the first follow-up (matching rate 63.4%). Among the participants, 55.2% of participants reported depressive symptoms, 39.3% reported anxiety symptoms, and 45.0% reported insomnia symptoms. It should be noted that severity bands (e.g., mild) reflect symptom burden rather than clinical diagnoses. Suicidal ideation and self-harm behaviors were reported by 3.1% and 1.2% of participants, respectively. In the past year, 6.9% of nurses sought help from psychiatric or psychological services, and 15.4% participated in mental health promotion activities.

conclusionOur findings suggest that a substantial proportion of NMHS participants reported experiencing mental and psychological symptoms. However, the mental health service use rate was low. These findings highlight the necessity of routine psychological screening and the optimization of mental health promotion services.

Indexed as

Cohort profileMental healthNurse

Identifiers

PMID41286936
PMCPMC12764096

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.