| Sumario: | 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 (F = 20.38, P <.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.
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