Evidence map›Paper›PMID 42373178›Full record

ArticleBMJ open2026

Work engagement profiles of rural nurses: a multicentre cross-sectional study.

You Liu, Huayong Huang, Ershan Xu, Yanhui Zhou, Wen Tang

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

You Liu *Zhangshu People's Hospital, Zhangshu, Jiangxi, China.
Huayong Huang *Xiangya School of Nursing, Central South University, Changsha, Hunan, China.
Ershan XuHunan University of Medicine, Huaihua, China 1006226048@qq.com.ORCID http://orcid.org/0000-0002-6753-3587
Yanhui ZhouThe First Affiliated Hospital of University of South China, Hengyang, Hunan, China.
Wen TangThe First Affiliated Hospital of University of South China, Hengyang, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExisting research on work engagement among rural nurses is relatively limited. Based on the job demands-resources (JD-R) model, this study aims to identify profiles of work engagement among rural nurses, explore associated factors and derive actionable policy implications.

methodsA multicentre cross-sectional study was conducted on 848 rural nurses in Hunan from June to August 2024. The survey used self-administered general information questionnaires and work engagement scales. Latent profile analysis (LPA) was used to identify latent profiles of work engagement. Multinomial logistic regression analysis was used to analyse the associated factors on the different profiles.

resultsAmong the respondents, 50.9% had an educational attainment of college degree or below, 16.0% received a monthly income of less than 3000 CNY and 26.7% engaged in more than five night shifts per month. Work engagement of rural nurses could be classified into three profiles: low (n=99, 15.8%), moderate (n=410, 66.6%) and high (n=116, 18.6%). Multinomial logistic regression revealed that marital status, number of children, night shifts and leadership position were significantly associated factors of work engagement across different profiles.

conclusionUsing latent profile analysis, this study identified three distinct work engagement profiles among rural nurses-low, moderate and high-with the moderate group being the most prevalent. It confirms the applicability of the JD-R model in explaining work engagement among rural nurses while identifying context-specific associated factors-particularly marital status, family structure, leadership role occupancy and night shift intensity. These findings suggest three actionable policies: adjusting night shift allocation based on family structure, offering leadership resilience training for nurses and incorporating marital/family status into retention planning.

Indexed as

Job SatisfactionNursesRural NursingWork EngagementAdultChinaCross-Sectional StudiesFemaleHumansLeadershipLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesChinaHealth WorkforceNursesOrganisation and Administration

Identifiers

PMID42373178
PMCPMC13331078

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