Evidence map›Paper›PMID 40721785›Full record

ArticleBMC nursing2025

Prevalence and associated factors of chronic pain among nurses: a national cross-sectional study.

Zhenhui Ren, Jiaxin Yang, Chongmei Huang, Qiang Yu, Xuting Li, Zengyu Chen, Dan Zhang, Chunhui Bin, Meng Ning, Yiting Liu 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhenhui RenHunan Provincial People's Hospital and The first-affiliated hospital of Hunan normal university, Changsha, Hunan, China.
Jiaxin YangClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Chongmei HuangSchool of Nursing, Ningxia Medical University, Yinchuan, Ningxia, China.
Qiang YuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xuting LiClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zengyu ChenClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dan ZhangXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Chunhui BinXiangya School of Nursing, Central South University, Changsha, Hunan, China.
Meng NingClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yiting LiuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jianghao YuanClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yamin LiHunan Provincial People's Hospital and The first-affiliated hospital of Hunan normal university, Changsha, Hunan, China. amin5433@163.com.
Yusheng TianClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. tianyusheng@csu.edu.cn.

Funding

Chinese Nursing Association ZHKY202306
6 · The paper itself

Abstract

backgroundMusculoskeletal pain is common among nurses and can lead to absenteeism, reduced productivity and impaired physical and mental health. Long-term pain may develop into chronic pain, which is a more serious and longer-lasting condition that will cause further harm to nurses' health. Therefore, this study aims to investigate the prevalence and characteristics of chronic pain and its associated factors among nurses in tertiary hospitals in China.

methodsThis was a multicentre cross-sectional study of 147,832 nurses from 67 tertiary hospitals in China between December 2023 and January 2024, using cluster sampling and online methods. This study was a secondary analysis of the Nurses' Mental Health Study. The variables included sociodemographic information (sex, age, ethnicity, etc.), work-related information (professional title, years of working, department, etc.), and chronic pain characteristics (presence of chronic pain and site of pain). The study followed the STROBE guidelines. Statistical analyses included descriptive, chi-square test and binary logistic regression.

resultsThe prevalence of chronic pain among the participants was 8.2%, with the most common sites of pain being the low back (55.8%), neck and shoulder (40.0%), and head (37.6%). Factors associated with chronic pain in nurses included sex, age, ethnicity, education level, marital status, body mass index, weekly working hours, years of working, night shift, and exercise habit. Additionally, we analysed subgroups by different groups of sex, age, type of work, and night shifts. After comparing all binary logistic regression analyses, it was found that age > 40 years [odds ratio (OR) = 3.01], marital status (separated, widowed, or divorced) [OR = 1.64], body mass index ≥ 24 [OR = 1.27], working over 48 h per week [OR = 1.32], and no exercise habits [OR = 1.21] were stable risk factors for chronic pain in the nurse population.

conclusionNurses' occupational health is vital for the quality and safety of patient care. This study underscores the need for targeted interventions (e.g., ergonomics training and education, work environment enhancement, shift optimization, healthy lifestyle promotion) to reduce chronic pain in nurses. Our findings may help provide a foundation for the prevention and management of chronic pain in nurses. CLINICAL TRIAL REGISTRATION NUMBER: Not applicable. This study was not a clinical trial.

Indexed as

Chronic painNursesOccupational healthPrevalenceRisk factor

Identifiers

PMID40721785
PMCPMC12306093

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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.