Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout
Abstract Background The 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...
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BMC
2025-04-01
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| Series: | BMC Nursing |
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| Online Access: | https://doi.org/10.1186/s12912-025-03102-z |
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| author | Xinhui Liang Yue Yin Lating Zhang Fang Liu Yao Jia Xiaoxia Liu Mengyi Hu Lijuan Gao Xue Jiang |
| author_facet | Xinhui Liang Yue Yin Lating Zhang Fang Liu Yao Jia Xiaoxia Liu Mengyi Hu Lijuan Gao Xue Jiang |
| author_sort | Xinhui Liang |
| collection | DOAJ |
| description | Abstract Background The 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. Aim To 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. Methods A 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. Results In 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. Conclusions There 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. |
| format | Article |
| id | doaj-art-11d85d0c4ebb4e4d8aaf40ee733eb8a3 |
| institution | OA Journals |
| issn | 1472-6955 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Nursing |
| spelling | doaj-art-11d85d0c4ebb4e4d8aaf40ee733eb8a32025-08-20T02:10:46ZengBMCBMC Nursing1472-69552025-04-0124111010.1186/s12912-025-03102-zWork addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnoutXinhui Liang0Yue Yin1Lating Zhang2Fang Liu3Yao Jia4Xiaoxia Liu5Mengyi Hu6Lijuan Gao7Xue Jiang8Department of Anesthesiology, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi RoadSchool of International Education, Hubei University of Chinese MedicineSchool of Nursing, Shaanxi University of Chinese MedicineSchool of Nursing, Shaanxi University of Chinese MedicineDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi RoadDongtai People’s HospitalSchool of Nursing, Shaanxi University of Chinese MedicineDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi RoadDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, No. 569 Xinsi RoadAbstract Background The 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. Aim To 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. Methods A 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. Results In 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. Conclusions There 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.https://doi.org/10.1186/s12912-025-03102-zLatent profile analysisNursesBurnoutWork addiction |
| spellingShingle | Xinhui Liang Yue Yin Lating Zhang Fang Liu Yao Jia Xiaoxia Liu Mengyi Hu Lijuan Gao Xue Jiang Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout BMC Nursing Latent profile analysis Nurses Burnout Work addiction |
| title | Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout |
| title_full | Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout |
| title_fullStr | Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout |
| title_full_unstemmed | Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout |
| title_short | Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout |
| title_sort | work addiction in nurses a cross sectional correlational study of latent profile analysis and burnout |
| topic | Latent profile analysis Nurses Burnout Work addiction |
| url | https://doi.org/10.1186/s12912-025-03102-z |
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