Deng Weijian, Yang Simin, Ouyang Xin, Jiang Tao, Zhu Junmin, Yang Feng
School of Public Health, Guilin Medical University, Guilin, China.
School of Humanities and Management, Guilin Medical University, Guilin, China.
Front Public Health. 2025 Apr 4;13:1559090. doi: 10.3389/fpubh.2025.1559090. eCollection 2025.
The aging of the global population is intensifying, and the issue of depression among middle-aged and older individuals in China has garnered significant attention. Social integration is considered closely related to the risk of depression in patients with multiple chronic conditions (MCCs). This study aims to explore the relationship between different dimensions of social integration and depression in middle-aged and older individuals.
This study utilized data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), including 2,901 middle-aged and older individuals with MCCs. Depression risk was assessed using a depression scale. Social integration was measured across three dimensions: economic integration, relational integration, and community integration. Statistical analyses were conducted using Logit and Tobit models to explore the relationship between social integration and depression among middle-aged and older individuals.
There was no significant association between overall social integration and the risk of depression, but economic integration and community integration were negatively correlated with the risk of depression, and relational integration was positively correlated with the risk of depression, and this relationship was heterogeneous among different demographic characteristics. Sensitivity analysis and subgroup analysis further confirmed the robustness of the results.
Mental health interventions for middle-aged and older adults MCCs patients should consider the multi-dimensional characteristics of social integration. It is recommended to improve the economic status of the middle-aged and older adults, improve the quality of family and social interactions, and pay attention to the construction of the community environment. And further explore the interaction of each dimension and its applicability in different contexts.
全球人口老龄化加剧,中国中老年人群的抑郁问题备受关注。社会融合被认为与患有多种慢性病(MCCs)患者的抑郁风险密切相关。本研究旨在探讨社会融合的不同维度与中老年人群抑郁之间的关系。
本研究使用了2018年中国健康与养老追踪调查(CHARLS)的数据,包括2901名患有MCCs的中老年个体。使用抑郁量表评估抑郁风险。从经济融合、关系融合和社区融合三个维度衡量社会融合。采用Logit和Tobit模型进行统计分析,以探讨中老年个体社会融合与抑郁之间的关系。
总体社会融合与抑郁风险之间无显著关联,但经济融合和社区融合与抑郁风险呈负相关,关系融合与抑郁风险呈正相关,且这种关系在不同人口学特征中存在异质性。敏感性分析和亚组分析进一步证实了结果的稳健性。
针对患有MCCs的中老年患者的心理健康干预应考虑社会融合的多维度特征。建议提高中老年人的经济状况,改善家庭和社会互动质量,并关注社区环境建设。并进一步探索各维度之间的相互作用及其在不同情境中的适用性。