ArticleFrontiers in public health2026
Latent classes of self-management behaviors and a network model of influencing factors in community-dwelling older patients with chronic diseases: a healthy aging perspective.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objectives: To identify potential classes of self-management behaviors and constructs a network model linking cognitive reserve, psychological capital, social health, and self-management behaviors, providing a basis for precise interventions. Methods: From January to June 2024, a convenience sampling method was employed to select 394 older patients with chronic diseases from two community health service centers in Yanji City. Latent Profile Analysis (LPA) was conducted to identify the latent classes of self-management behaviors, and network analysis along with stability testing was performed using R 4.4.2. Results: According to latent profile analysis, self-management behaviors can be classified into three classes: "inefficient self-management class" (14.7%), "uneven self-management class "(39.1%), and "efficient self-management class" (46.2%). After adjusting for 12 covariates, the efficient self-management class scored significantly higher than the uneven and inefficient self-management classes in terms of cognitive reserve [OR = 1.556, 95%CI: (1.319-1.836), Conclusion: Self-management behavior exhibits three types of heterogeneity, with psychological capital, cognitive reserve, and social health collaboratively influencing. Psychological capital serves as an interactive hub between cognitive reserve and social health, with the self-efficacy dimension having the most significant impact on network structure.
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