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ORIGINAL RESEARCH article

Front. Public Health
Sec. Occupational Health and Safety
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1433018
This article is part of the Research Topic How Workplace Behaviors Impact Mental Health: Does Diversity Matter? View all 31 articles

Latent Class Analysis for Health-Related Quality of Life in Nurses in China

Provisionally accepted
Yan Zhao Yan Zhao 1Bei Yang Bei Yang 2Jianying Chu Jianying Chu 1*
  • 1 Qilu Hospital, Shandong University, Jinan, China
  • 2 West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China

The final, formatted version of the article will be published soon.

    Background: This study aimed to identify the types of quality of life (QoL) based on the five dimensions of the EQ-5D and predict factors affecting QoL. Methods: A multistage stratified cluster sampling survey was conducted among the staff of 12 general hospitals, 1965 nurses completed the survey, and the data were analysed using SPSS 26.0 and Mplus 8.3 for latent analysis. Results: Three latent classes of QoL were identified: low-level (2.8%), pain and discomfort (7.6%), medium-level (47.1%), and high-level (42.5%). The types and characteristics of QoL differed among these latent classes. The low-level group had the lowest EQ visual analogue scale (EQ-VAS) score (F = 75.217, P<0.001) and the highest K10 score (F = 61.90, P<0.001). Moreover, increased age (OR = 0.819, 95% CI: 0.817-0.973), never having drunk alcohol (OR = 0.107, 95% CI: 0.023, 0.488), and increased EQ-VAS scores (OR = 0.935, 95% CI: 0.919, 0.952) were protective factors for quality of life, while working in obstetrics and gynaecology (OR = 6.457, 95% CI:1.852, 22.512) and higher K10 scores (OR = 1.153, 95% CI: 1.100, 1.209) were risk factors for quality of life. Conclusion: The results indicated significant heterogeneity in the types of QoL and identified predictors of QoL. These findings provide basic information for the development of nursing interventions to improve quality of life and identified specific characteristics that should be considered during intervention development.

    Keywords: Nursing Staff, Quality of Life, EQ-5D, latent class analysis, psychological distress

    Received: 15 May 2024; Accepted: 18 Nov 2024.

    Copyright: © 2024 Zhao, Yang and Chu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jianying Chu, Qilu Hospital, Shandong University, Jinan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.