Characteristics of subgroups of personal social capital among community-dwelling older adults and the differences in geriatric depression: A latent profile analysis
10.3969/j.issn.1006-2483.2026.05.039
- VernacularTitle:社区老年人个人社会资本亚群特征及其老年抑郁的差异性研究——一项潜在剖面分析
- Author:
Chenchen YAO
1
;
Annuo LIU
2
Author Information
1. School of Nursing, Anhui Medical University, Hefei , Anhui 230000, China;Lu'an Hospital of Traditional Chinese Medicine Affiliated to Anhui University of Chinese Medicine, Luan, Anhui 237000, China
2. School of Nursing, Anhui Medical University, Hefei , Anhui 230000, China
- Publication Type:Journal Article
- Keywords:
Community elderly;
Personal social capital;
Aging attitude;
Aging perception;
Latent profile analysis
- From:
Journal of Public Health and Preventive Medicine
2026;37(5):183-188
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the latent profile characteristics, influencing factors of personal social capital among community-dwelling older adults and their differences in the degree of geriatric depression. Methods A cross-sectional survey was conducted among 1,026 community-dwelling older adults. Latent profile analysis was used to explore the latent profiles of personal social capital, and the predictors of different latent profiles were examined. Results Four latent profiles were identified and labeled as “Impoverished social capital type”, “Moderate social capital type", “Abundant social capital type” and “Extremely low bonding - extremely high bridging social capital exclusive type”. The influencing factors included per capita monthly household income (χ2=3.500, P=0.015), whether taking long-term medication (χ2=9.587, P=0.022), whether drinking alcohol (χ2=23.942, P＜0.001), whether doing physical exercise (χ2=20.876, P＜0.001), and whether participating in social activities (χ2=40.135, P＜0.001), with statistically significant differences. Community-dwelling older adults with low frequency of physical exercise, low frequency of social participation and not taking long-term medication were more likely to belong to the “extremely low bonding - extremely high bridging social capital exclusive type”. The degree of geriatric depression (F=12.385, P＜0.001), aging attitude (F=33.008, P＜0.001) and negative aging perception (F=81.481, P＜0.001) in this subgroup were relatively serious, with statistically significant differences. Conclusion The government and communities can formulate personalized intervention measures based on the influencing factors of latent profiles to effectively suppress the development of depression among community-dwelling older adults, improve aging attitudes and the positivity of aging perception, and promote healthy aging.
