ArticleFrontiers in public health2023
Health-related quality of life in Chinese medical staff: a latent profile analysis.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Work-life realities of doctors in Georgia and their impact on mental health and work-related well-being: A cross-sectional study.PloS one · 2026Article
- Nurses' work value patterns and their relationship with burnout: a cross-sectional study based on latent profile analysis.BMC nursing · 2025Article
- Patterns of Health-related Quality of Life in Men Who Inject Drugs: A Survey in Southeast Iran.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024Article
- Health-related quality of life and associated factors among health care providers in the northwest of Ethiopia: a multicenter cross-sectional study, 2023.Frontiers in public health · 2024Article
- Health-related quality of life profiles in adolescents and young adults with chronic conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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