Potential profiling of family health and its association with quality of life in Chinese patients with chronic diseases
10.3760/cma.j.cn211501-20240822-02282
- VernacularTitle:中国慢性病患者家庭健康潜在剖面分析及其与生命质量的关联
- Author:
Shujuan CHEN
1
;
Xinyu WANG
;
Xiuchun YANG
;
Wei ZHOU
;
Yihong JIANG
;
Jinhong YANG
Author Information
1. 山东第二医科大学护理学院，潍坊 261053
- Publication Type:Journal Article
- Keywords:
Chronic disease;
Quality of life;
Family health;
Latent profile analysis;
Influencing factors
- From:
Chinese Journal of Practical Nursing
2025;41(24):1898-1907
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the potential profile characteristics of family health in patients with chronic diseases, analyze the influencing factors of different family health categories, and further investigate the relationship between family health categories and the quality of life in patients with chronic diseases, providing a scientific basis for targeted intervention strategies.Methods:This study was a cross-sectional survey. The data for the study were obtained from the Chinese Residents' Psychology and Behavior Survey Research Database. A multistage sampling method was employed to select 1 808 patients with chronic diseases as survey respondents from July to September 2021. Data were collected using the General Information Questionnaire, the Family Health Scale, and the European 5-Dimensional 5-Level Health Scale(EQ-5D-5L). Potential profiles of family health in patients with chronic diseases were identified using latent profile analysis. Univariate analysis and multiple Logistic regression were used to examine influencing factors, and generalized linear regression was performed to analyze the impact of different family health categories on quality of life.Results:A total of 1 808 chronic disease patients were enrolled, comprising 986 males and 822 females, with a age of (55.23 ± 7.02) years. The scores of family health, EQ-5D-5L, EuroQol Visual Analogue Scale were 38(34, 43), 0.94(0.84, 1.00), and 78(63, 87) points. The family health of patients with chronic diseases were categorized into three potential profiles: the low family health group (418 cases accounting for 23.1%), the medium family health group (747 cases accounting for 41.3%), and the high family health group (643 cases accounting for 35.6%). Multivariate Logistic regression analysis showed that family type, marital status, nature of household, education level, number of siblings and type of health insurance were significant factors influencing family health categories ( OR values were 0.464-2.503, all P<0.05). The family health was an important factor influencing quality of life ( χ2 values were 4.05-100.68, all P<0.05). Conclusions:There is significant heterogeneity in the family health of patients with chronic diseases, which can be divided into three distinct categories. Patients with higher family health levels have better quality of life. Medical professionals should develop precise intervention programs tailored to the characteristics of each category to improve family health levels and enhance the quality of life of patients with chronic diseases.
