Bibliographic Details
| Title: |
Generalized anxiety disorder and job performance can predict job stress among nurses: A latent profile analysis |
| Authors: |
Liuqiao Ning, Fengzhen Li, Shihen Li, Yuenv Wang, Tingting Lin, Qianying Deng, Yingjie Fu, Jufang Li, Yun Li |
| Source: |
BMC Nursing, Vol 23, Iss 1, Pp 1-10 (2024) |
| Publisher Information: |
BMC, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Nursing |
| Subject Terms: |
Latent profile analysis, Job stress, Generalized anxiety disorder, Job performance, Nurse, Nursing, RT1-120 |
| More Details: |
Abstract Background Nursing is a stressful profession that can impact the physical and mental health of nurses as well as the safety of patients. Furthermore, various factors may affect the job stress of nurses. However, recent studies mainly focused on the overall level of job stress and its related factors, ignoring the population heterogeneity of nurses’ job stress. Methods A total of 440 nurses participated in the questionnaire survey between March 2023 and April 2023. Data were collected using the Demographic Characteristics Questionnaire, the Nursing Job Stressor Inventory, the Generalized Anxiety Disorder 7-item Scale, and the Nurse Job Performance Scale. A latent profile analysis was used to identify the latent profiles of job stress. Kruskal-Wallis H test and ordinal logistic regression were used to explore the predictors of different profiles. Results The job stress of nurses could be classified into four profiles: relatively low job stress, relatively high job stress, high job stress, and the highest job stress. Generalized anxiety disorder, job performance, health status, and dislike of nursing as a career were predictors of different profiles. Conclusions The majority of nurses were classified into profile 2, and their job stress was relatively high. Lowering anxiety levels, enhancing job performance, improving nurses’ health status, and changing professional attitudes toward nursing may be effective ways to reduce nurses’ job stress. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1472-6955 |
| Relation: |
https://doaj.org/toc/1472-6955 |
| DOI: |
10.1186/s12912-024-02512-9 |
| Access URL: |
https://doaj.org/article/ba6dca7ecc14414aa63a03a0cc1db9fb |
| Accession Number: |
edsdoj.ba6dca7ecc14414aa63a03a0cc1db9fb |
| Database: |
Directory of Open Access Journals |
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