Analysis of latent profiles and influencing factors of work-related quality of life for nurses in obstetrics and gynecology hospitals
10.3969/j.issn.1671-8348.2025.07.012
- VernacularTitle:妇产专科医院护士工作相关生活质量的潜在剖面及影响因素分析
- Author:
Binxia LI
1
;
Yufan YUAN
Author Information
1. 石家庄市第四医院/石家庄市妇产医院护理部,石家庄 050011
- Keywords:
specialized hospitals;
nurses;
work-related quality of life;
latent profile analysis;
resilience
- From:
Chongqing Medicine
2025;54(7):1591-1596
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the current status of work-related quality of life among nurses at ob-stetric and gynecological specialty hospitals,analyze their latent profiles,and identify influencing factors.Methods Using convenience sampling,574 nurses from a tertiary-level obstetric and gynecological specialty hospital in Shijiazhuang,Hebei Province were selected as subjects.Questionnaires including the General Infor-mation Survey,Nurse Work-Related Quality of Life Scale-2(WRQoL-2),and Resilience Scale were adminis-tered.Latent profile analysis was performed to assess the level of work-related quality of life,with influencing factors of the latent profiles identified through univariate and logistic regression analyses.Results Work-re-lated quality of life levels among nurses at obstetric and gynecological specialty hospitals were classified into three latent profiles,low-level group(27.53%),medium-level group(45.81%),and high-level group(26.66%).Logistic regression analysis revealed that gender,position,satisfaction with current income,aver-age overtime hours,daily sleep duration,and resilience scale scores were influencing factors for the latent pro-files of work-related quality of life among nurses at obstetric and gynecological specialty hospitals(P<0.05).Conclusion Heterogeneity exists in work-related quality of life among nursing staff at obstetric and gyneco-logical specialty hospitals,with three distinct latent profiles.Nursing managers may classify nurses for man-agement according to profile-specific influencing factors to improve their work-related quality of life.
