Health-related quality of life in Chinese medical staff: a latent profile analysis

Jing Huang; Jianing Zhu; Yifan Ruan; Haitao Zhou; Wenjian Guo; Aishu Dong

doi:10.3389/fpubh.2023.1183483

Health-related quality of life in Chinese medical staff: a latent profile analysis

Front Public Health. 2023 May 5:11:1183483. doi: 10.3389/fpubh.2023.1183483. eCollection 2023.

Authors

Jing Huang¹, Jianing Zhu¹, Yifan Ruan¹, Haitao Zhou¹, Wenjian Guo², Aishu Dong¹

Affiliations

¹ Department of Cardiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
² Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Abstract

Objective: To investigate subgroups of health-related quality of life (HRQoL) in the Chinese medical staff and identify the demographic factors associated with these profiles.

Methods: 574 Chinese medical staff were surveyed online. HRQoL was measured by using the 36-Item Short Form Health Survey, Version 2. Latent profile analysis (LPA) was used to identify the profiles of HRQoL. The associations between HRQoL profiles and covariates were assessed using multinomial logistic regression.

Results: Three HRQoL profiles were developed: low HRQoL at 15.6%, moderate HRQoL at 46.9%, and high HRQoL at 37.6%. Multinomial logistic regression showed night shift times, aerobic exercise conditioning, and personality type significantly predicted the profile membership.

Conclusion: Our findings develop earlier approaches that only used total scores to evaluate this group's HRQoL and help them with tailored interventions to promote better HRQoL.

Keywords: COVID-19; China; health-related quality of life; latent profile analysis; medical staff.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

East Asian People*
Exercise
Humans
Logistic Models
Medical Staff
Quality of Life*
Surveys and Questionnaires