College of Public Administration, Nanjing Agricultural University, Nanjing, China.
Jin Shanbao Institute for Agriculture and Rural Development, Nanjing Agricultural University, Nanjing, China.
Front Public Health. 2024 Sep 24;12:1403255. doi: 10.3389/fpubh.2024.1403255. eCollection 2024.
Depression is a significant burden on individuals and society, which requires our attention and action. As the aging wave collides with digitalization, further research is needed to understand how internet use relates to depression in older adults. This study aimed to investigate whether volunteer activity participation and friend networks played a chain mediating role in this relationship from the perspective of the socioemotional selectivity theory.
This study's data was derived from the 2018 China Longitudinal Aging Social Survey (CLASS), comprising 5,558 samples. The study employed the OLS model for benchmark regression and multiple robust check methods, including altering variable settings and utilizing the instrumental variable model. In addition, the generalized structural equation model (GSEM) was used to analyze the mechanism.
Using the internet was significantly associated with reduced depression in older adults (coefficient = -0.9321, < 0.001). The instrumental variable model confirmed this reduction (coefficient = -0.9200, < 0.001). Moreover, we found that there were three indirect pathways of Internet use on depression among older adults: the mediating role of volunteer activity participation (all -values <0.001), the mediating role of friend network (all -values <0.001), and the chain mediating role of both factors (all -values <0.001).
Based on the research findings, we suggest mobilizing tech-savvy older adults to assist others in adopting digital technology and using the internet. We also suggest that the government could assist in creating older adult-friendly communities. Social workers could collaborate with tech-savvy older adults to organize various voluntary activities, encouraging more senior citizens to participate. In addition, we recommend that the community should consider the form of activities to help older adults make friends first rather than solely focusing on voluntary activities.
抑郁症对个人和社会都是一个重大负担,需要我们关注和行动。随着老龄化浪潮与数字化的碰撞,我们需要进一步研究互联网使用与老年人抑郁之间的关系。本研究旨在从社会情绪选择理论的角度探讨志愿者活动参与和朋友网络是否在这种关系中起到链式中介作用。
本研究的数据来自 2018 年中国纵向老龄化社会调查(CLASS),包含 5558 个样本。研究采用 OLS 模型进行基准回归和多种稳健性检验方法,包括改变变量设置和使用工具变量模型。此外,还采用广义结构方程模型(GSEM)分析机制。
使用互联网与老年人抑郁程度降低显著相关(系数=-0.9321,<0.001)。工具变量模型证实了这种降低(系数=-0.9200,<0.001)。此外,我们发现互联网使用对老年人抑郁有三种间接途径:志愿者活动参与的中介作用(所有 - 值<0.001),朋友网络的中介作用(所有 - 值<0.001),以及这两个因素的链式中介作用(所有 - 值<0.001)。
基于研究结果,我们建议动员精通技术的老年人帮助他人采用数字技术和使用互联网。我们还建议政府协助创建适合老年人的社区。社会工作者可以与精通技术的老年人合作组织各种志愿活动,鼓励更多的老年人参与。此外,我们建议社区应该首先考虑帮助老年人交友的活动形式,而不仅仅是关注志愿活动。