Yu Liqin, Sun Manyu, Yang Harrison Hao, Wang Yang, Wu Fei
Hubei University of Technology, Wuhan, Hubei, China.
State University of New York at Oswego, NY, USA.
Inquiry. 2025 Jan-Dec;62:469580251375846. doi: 10.1177/00469580251375846. Epub 2025 Sep 19.
This study examines how distinct Information and Communication Technology (ICT) engagement profiles impact life satisfaction among older adults, aiming to inform digital inclusion policies for aging populations. Cross-sectional data from 717 older adults in Central China were analyzed using latent profile analysis (LPA) to identify distinct ICT engagement profiles, followed by multinomial logistic regression to examine predictors of profile membership. LPA identified 3 profiles: Quiescent (39.75%), Compliant (42.96%), and Active (17.29%) Users. Active Users reported significantly higher life satisfaction ( = 20.38, < .001) than Quiescent and Compliant Users. Income, age, and gender predicted profile membership. These findings propose tailored strategies to promote ICT engagement in aging populations, advocating for inclusive digital policies to enhance late-life well-being.
本研究探讨了不同的信息通信技术（ICT）参与模式如何影响老年人的生活满意度，旨在为老年人口的数字包容政策提供参考。使用潜在剖面分析（LPA）对来自中国中部717名老年人的横断面数据进行分析，以识别不同的ICT参与模式，随后进行多项逻辑回归分析，以检验模式归属的预测因素。LPA识别出三种模式：静态使用者（39.75%）、顺应型使用者（42.96%）和活跃使用者（17.29%）。活跃使用者报告的生活满意度显著高于静态使用者和顺应型使用者（ = 20.38， <.001）。收入、年龄和性别可预测模式归属。这些发现提出了针对性的策略，以促进老年人口对ICT的参与，倡导包容性数字政策以提高晚年幸福感。
