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引用本文:郭静,王沛,刘荷,等.互联网使用对我国老年人幸福感的影响研究——基于轨迹的分析[J].中国卫生政策研究,2025,18(10):40-48
互联网使用对我国老年人幸福感的影响研究——基于轨迹的分析
投稿时间:2025-09-06  修订日期:2025-10-09  PDF全文浏览  HTML全文浏览
郭静1,王沛2,刘荷2,姚远2,胡彦熙2,杨瑶2
1.中国人民大学人口与发展研究中心 中国人民大学国家治理大数据和人工智能创新平台 北京 100872;2.中国人民大学人口与健康学院 北京 100872
摘要:目的 识别我国老年人互联网使用及幸福感的发展轨迹,探讨两者间的动态关系及子女代际支持的调节作用。方法 使用组基轨迹发展模型识别发展轨迹,运用有调节的通用logits模型分析轨迹间关系及子女代际支持的调节作用。结果 我国老年人互联网使用与幸福感均呈差异化发展轨迹;互联网使用发展轨迹对幸福感发展轨迹有显著正向影响,与低水平组相比,互联网中度使用组中的老年人归属于幸福感中、高水平组的概率分别是离线组的1.550倍(P<0.01)和1.539倍(P<0.05),互联网高频使用组中的老年人归属于幸福感中、高水平组的概率分别为是离线组的9.560倍(P<0.01)和9.030倍(P<0.01);而子女代际支持负向调节了轨迹间的影响(幸福感中水平组:OR=0.768,P<0.05;幸福感高水平组:OR=0.733,P<0.05)。结论 互联网使用能长期稳定地提升老年人幸福感,该效应在子女代际支持较少的老年人中更显著。建议构建线上线下“双轨”服务体系,并将互联网赋能作为精准社会支持策略,重点关注子女代际支持不足的老年人。
关键词:互联网使用  老年人  幸福感  组基轨迹发展模型
基金项目:北京市社会科学基金项目(24SRB007)
The impact of internet use on the well-being of the elderly in China: A trajectory-based analysis
GUO Jing1, WANG Pei2, LIU He2, YAO Yuan2, HU Yan-xi2, YANG Yao2
1.Center for Population and Development Studies, Health and Reform Policy Sub-Laboratory, Bigdata and Responsible Artificial Intelligence for National Governance, Renmin University of China, Beijing 100872, China;2.School of Population and Health, Renmin University of China, Beijing 100872, China
Abstract:Objective To identify the developmental trajectories of internet use and well-being among the elderly in China, and to explore the dynamic relationship between these trajectories and the moderating role of intergenerational support from children.Methods Group-Based Trajectory Modeling was employed to identify developmental trajectories, and moderated generalized logits models were used to analyze the relationship between trajectories and the moderating effect of intergenerational support from children.Results Both internet use and well-being among the elderly exhibited differentiated developmental trajectories. Internet use trajectories had a significant positive impact on well-being trajectories. Compared with the low-level group, the elderly in the moderate internet use group being classified into the medium- and high-level well-being groups were 1.550 times (P<0.01) and 1.539 times (P<0.05) those of the offline group respectively, while those in the high-frequency internet use group were 9.560 times (P<0.01) and 9.030 times (P<0.01), respectively. Intergenerational support from children negatively moderated this relationship (medium-level well-being group: OR=0.768, P<0.05; high-level well-being group: OR=0.733, P<0.05).Conclusions Internet use can sustainably enhance the well-being of the elderly over the long term, with this effect being more pronounced among those receiving less intergenerational support from children. It is recommended to establish a dual-track service system integrating online and offline channels, and to prioritize internet empowerment as a targeted social support strategy for the elderly with insufficient intergenerational support from children.
Key words:Internet use  The elderly  Well-being  Group Based Trajectory Modelling
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