Analysis of factors influencing social isolation in elderly people with chronic diseases based on socio-ecological system theory
10.3760/cma.j.cn115682-20241213-06852
- VernacularTitle:基于社会生态环境系统理论的慢性病老年人社会隔离影响因素分析
- Author:
Liyuan JIA
1
;
Mei YOU
;
Lulu ZHANG
;
Yuqin JIANG
;
Yuan DING
;
Yiling LIU
;
Xiaohan MAO
;
Annuo LIU
Author Information
1. 安徽医科大学护理学院,合肥 230032
- Publication Type:Journal Article
- Keywords:
Aged;
Chronic disease;
Social isolation;
Socio-ecological system theory;
Influencing factor
- From:
Chinese Journal of Modern Nursing
2025;31(14):1903-1907
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the status and influencing factors of social isolation in elderly individuals with chronic diseases.Methods:A multi-stage sampling method was used to select elderly individuals from eight communities or villages in Hefei from July to September 2022. The study employed a general information survey, the Lubben Social Network Scale (LSNS-6) , the Geriatric Depression Scale (GDS-15) , the Social Support Rating Scale (SSRS) , and the Personal Social Capital Scale 16 (PSCS-16) . Binary Logistic regression analysis was used to explore the factors influencing social isolation in elderly individuals with chronic diseases.Results:A total of 1 133 elderly individuals were surveyed, among which 538 had chronic diseases. Among the 538 elderly individuals with chronic diseases, 209 were socially isolated, resulting in a social isolation rate of 38.8%. Binary Logistic regression analysis revealed that living area, fear of falling, depression, social capital, and social support were significant factors influencing social isolation ( P<0.05) . Conclusions:The social isolation rate among elderly individuals with chronic diseases is high. Special attention should be given to elderly individuals living in rural areas, those who fear falling, and those experiencing depression. Additionally, improving social capital and social support can help alleviate social isolation in these elderly individuals.