ArticleFrontiers in public health2026
Influencing factors and network analysis of latent profiles of care demands among disabled older adults in integrated medical and nursing care institutions in Shanghai, China: a cross-sectional study.
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
Objective: To identify the latent profiles and network structure of care demands among disabled older adults in integrated medical and nursing care institutions, and to provide empirical evidence for service provision. Methods: Convenience sampling was used to select 443 disabled older adults from 16 integrated medical and nursing care institutions in Pudong New Area, Shanghai. Face-to-face surveys were conducted using a general information questionnaire and a service demands questionnaire. Latent profile analysis was employed to identify care demand profiles and their influencing factors, while network analysis was applied to construct the demand network and compare network differences across profiles. Results: Latent profile analysis identified three care demand profiles: the "Low-demand expression group" (76.4%), the "Multidimensional high-demand group" (18.5%), and the "Psychological-prominent demand group" (5.1%). Age, gender, pre-retirement occupation, and frequency of children's visits were independent influencing factors for profile membership ( Conclusion: The care demands of disabled older adults in integrated medical and nursing care institutions are typologically differentiated and shaped by multiple factors. The association structures among care demands differ fundamentally across demand types. Therefore, institutions should consider both the demand classification and network structures when allocating care resources, rather than determining service priorities based solely on the average scores of individual demand items.
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