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

Abstract

ObjectiveTo investigate subgroups of health-related quality of life (HRQoL) in the Chinese medical staff and identify the demographic factors associated with these profiles.Methods574 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.ResultsThree 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.ConclusionOur 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.

Health-related quality of life and associated factors among health care providers in the northwest of Ethiopia: a multicenter cross-sectional study, 2023

“…The demanding and stressful nature of healthcare professions poses a potential threat and can significantly influence the HRQoL of healthcare professionals. Moreover, the particular work environment and interpersonal dynamics can also have an impact on the HRQoL of medical personnel ( 27 ). The current study revealed that 54.6% of the study participants scored below the mean score of WHOQOL-BREF, indicating a poor quality of life.…”

Patterns of Health-related Quality of Life in Men Who Inject Drugs: A Survey in Southeast Iran

“…This approach can enhance the overall quality of healthcare. Although several studies have examined HRQoL patterns among medical staff [ 19 ] and breast cancer patients [ 20 ], there is limited research on HRQoL among PWID [ 21 ]. Latent profile analysis (LPA) is a person-centered approach that can identify patterns or hidden subgroups based on individual responses from continuous data.…”

“…Latent profile analysis (LPA) is a person-centered approach that can identify patterns or hidden subgroups based on individual responses from continuous data. A previous study among 574 Chinese medical staff [ 19 ], which analyzed individual HRQoL responses, identified 3 distinct HRQoL patterns: high, moderate, and low HRQoL. To our knowledge, there is scant information on the patterns of HRQoL among PWID in Iran.…”