Evidence map›Paper›PMID 40301890›Full record

ArticleBMC nursing2025

Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout.

Xinhui Liang, Yue Yin, Lating Zhang, Fang Liu, Yao Jia, Xiaoxia Liu, Mengyi Hu, Lijuan Gao, Xue Jiang

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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.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xinhui Liang *Department of Anesthesiology, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi Road, Xi'an, ShanxiProvince, China.
Yue Yin *School of International Education, Hubei University of Chinese Medicine, Wu han, Hubei Province, China.
Lating Zhang *School of Nursing, Shaanxi University of Chinese Medicine, Shaanxi Province, , Xian yang, China.
Fang LiuSchool of Nursing, Shaanxi University of Chinese Medicine, Shaanxi Province, , Xian yang, China.
Yao JiaDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi Road, Xi'an, Shanxi Province, China.
Xiaoxia LiuDongtai People's Hospital, Dong tai, Jiangsu Province, China.
Mengyi HuSchool of Nursing, Shaanxi University of Chinese Medicine, Shaanxi Province, , Xian yang, China.
Lijuan GaoDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi Road, Xi'an, Shanxi Province, China.
Xue JiangDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi Road, Xi'an, Shanxi Province, China. jiangxue6391@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe nursing profession is known for its high intensity and high pressure, and burnout is prevalent among nurses.In recent years, work addiction has attracted attention as an emerging occupational psychological problem.However, there is a relative lack of research on nurses' work addiction, especially in the case of its underlying features and its relationship with burnout.Identifying the underlying characteristics of nurses' work addiction is of great significance for formulating targeted interventions to prevent and alleviate nurses' burnout and improve the quality of nursing services.

aimTo identify the distinct profiles of work addiction among clinical nurses, examine the demographic factors associated with profile memberships, and then explore the relationship between latent categories of work addiction and job burnout.

methodsA cross-sectional study was conducted in nurses in Northwest China using convenience sampling from January to March 2024.The clinical nurse completed the online completion of the General Information Questionnaire, the Work Addiction Scale, and the Burnout Scale.Latent profile analysis, analysis of variance, chi-square test, binary logistic regression and multiple regression analysis were used to analyze the data.

resultsIn this study, 550 questionnaires were distributed and 524 questionnaires were effectively recovered, with an effective recovery rate of 95.27%.The detection rate of work addiction was 60.50%.The study identified two possible attributes of nurse work addiction: the low addiction group (level 1) and the high addiction group (level 2).These two groups comprised 67.9% and 32.1% respectively of the entire sample of nurses.The work addiction categories of clinical nurses were found to be influenced by nurses' job titles, employment type, Education background and emotional exhaustion. The dimension of emotional exhaustion in burnout explains 18.70% of the variation in work addiction on its own.

conclusionsThere are obvious categorical characteristics of clinical nurses' work addiction, and more than half of clinical nurses' work addiction is at a low level.Identifying demographic" characteristics"and internal and external predictors' of different types' of work addiction can help inform interventions.hospital administrators should actively monitor nurses who exhibit a high degree of work addiction and implement focused interventions to reduce the degree of burnout of nurses and ensure the quality of nursing work.

Indexed as

BurnoutLatent profile analysisNursesWork addiction

Identifiers

PMID40301890
PMCPMC12039281

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