Evidence map›Paper›PMID 42471666›Full record

ArticleBMC nursing2026

Moonlighting intention and turnover intention among Chinese nurses: latent classes and associated factors.

Zhaoping Liu, Yingxia Liu, Jie Zheng, Lu Chai, Fei Liu, Liuyi Zhang, Yang Liu, Min Jin, Bei Hu, Li Wang and 1 more

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Article in BMC nursing, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zhaoping Liu *School of Nursing, Hunan Normal University, No. 371 Tongzipo Road, Yuelu District, Changsha, Hunan, China.
Yingxia Liu *Department of ICU, Changsha Hospital of Traditional Chinese Medicine (Changsha Eighth Hospital), Changsha, Hunan, China.
Jie ZhengThe 980th Hospital of the People's Liberation Army Joint Logistics Support Force, Shijiazhuang, Hebei, China.
Lu ChaiSchool of Nursing, Hunan Normal University, No. 371 Tongzipo Road, Yuelu District, Changsha, Hunan, China.
Fei LiuYangluo Subdistrict Health Center, Wuhan, Hubei, China.
Liuyi ZhangSchool of Nursing, Hunan Normal University, No. 371 Tongzipo Road, Yuelu District, Changsha, Hunan, China. Liuyizhang@hunnu.edu.cn.
Yang LiuDepartment of Anesthesiology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China. liuyang2022@hunnu.edu.cn.
Min JinDepartment of Respiratory Medicine, People's Liberation Army General Hospital of Central Theater Command, Wuhan, Hubei, China. 1026378280@qq.com.
Bei HuDepartment of Respiratory Medicine, People's Liberation Army General Hospital of Central Theater Command, Wuhan, Hubei, China.
Li WangDepartment of Cardiothoracic Surgery, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Siyao NiSchool of Nursing, Hunan Normal University, No. 371 Tongzipo Road, Yuelu District, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rise of the gig economy has increased moonlighting among healthcare professionals. In China, nurse moonlighting and multi-site nursing practice remain emerging and context-dependent phenomena. Existing studies largely describe behaviors, with limited insight into subgroups and mechanisms underlying moonlighting intention among nurses.

objectiveThis study aimed to identify latent classes based on Chinese nurses' moonlighting intention and turnover intention, and to examine factors associated with membership in these classes.

designA multicenter cross-sectional survey with item-level latent class analysis was conducted. SETTING(S): Nursing staff in medical institutions in seven geographic regions of China (northeast, north, central, east, south, northwest, southwest).

participantsRegistered nurses (n = 1,879) from 21 hospitals in 7 cities across 7 provinces recruited via convenience sampling.

methodsData were collected June-October 2024. Measures included demographics (gender, age, years employed, professional title, marital status, education, income, etc.), the Occupational Identity Scale, the Perceived Organizational Support Scale, and a Moonlighting Intention Scale. Latent class analysis identified joint classes of moonlighting and turnover intention. Univariate analyses and multinomial logistic regression were used to identify factors associated with class membership.

resultsA four-class solution was selected as the preferred model for the joint patterns of moonlighting intention and turnover intention (Entropy = 0.89; LMR/BLRT p < 0.001). The four classes were labelled as the Low MI-Low TI class (21.13%), High MI-Low TI class (23.36%), High MI-Moderate/High TI class (39.49%), and Uncertain MI-Low/Uncertain TI class (16.02%). Using the Low MI-Low TI class as the reference, nurses whose spouses did not have stable employment, those aged 25.1-30 years, those working in primary hospitals, and those with higher occupational identity had higher odds of belonging to the High MI-Low TI class, whereas higher perceived organizational support was associated with lower odds of membership in this class. For the High MI-Moderate/High TI class, spouse's unstable employment, unmarried/divorced/widowed status, male gender, age 25.1-30 years, and working in a primary hospital were associated with higher odds of membership, while no children, more than 15 years of practice, formal establishment, higher income, higher occupational identity, and higher perceived organizational support were associated with lower odds of membership. For the Uncertain MI-Low/Uncertain TI class, age 25.1-30 years was associated with higher odds of membership, whereas monthly income of 7,001-12,500 RMB was associated with lower odds.

conclusionThe relationship between moonlighting intention and turnover intention among Chinese nurses is heterogeneous rather than uniformly positive. Moonlighting intention should not be interpreted simply as a sign of withdrawal or impending turnover. Profile-specific retention strategies are needed, particularly for nurses with both high moonlighting intention and elevated turnover intention. Strengthening occupational identity, perceived organizational support, employment security, income protection, and career development pathways may help reduce turnover-related risk while addressing nurses' diverse work and career needs.

Indexed as

Latent class analysisMoonlighting intentionNursesOccupational IdentityPerceived organizational supportTurnover intention

Identifiers

PMID42471666
PMCPMC13663257

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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.