The identified patterns of co-occurring physical and psychosocial symptoms highlight the importance of adopting holistic, tailored strategies to support cognitive health and the importance of adopting holistic, tailored strategies to support cognitive health.
Abstract
Background
Older adults often experience complex, co-occurring physical, psychological, and social health conditions that together characterize their multidimensional health and may have implications for cognitive function. However, the patterns of these multidimensional health conditions and their association with cognitive function in older adults remain poorly understood. This study aims to identify latent profiles of multidimensional health among community-dwelling older adults and examine factors associated with profile membership and corresponding cognitive function.
Methods
In this study, cross-sectional survey data from 1,077 community-dwelling older adults were analyzed. Latent profile analysis was used to classify participants based on pain, fatigue, physical frailty, depressive symptoms, insomnia symptoms, and loneliness. Multinomial logistic regression with the three-step approach (R3STEP) was performed to identify factors associated with latent profile membership. Hierarchical regression analysis was used to examine the associations between latent profiles and cognitive function.
Results
Four distinct latent health profiles were identified: relatively healthy (56.7%), physical symptom (21.5%), physically frail (12.1%), and psychosocial symptom (9.7%) groups. Compared with the relatively healthy group, participants aged ≥ 75 years, with a bachelor's degree or higher, unmarried status, low economic status, chronic diseases, and low engagement in physical activity were more likely to belong to the physical symptom, physically frail, or psychosocial symptom profiles. Participants in all other latent profiles exhibited lower cognitive function than those in the relatively healthy group.
Conclusions
This study highlights the importance of multidimensional health profiles in understanding cognitive vulnerability among older adults. The identified patterns of co-occurring physical and psychosocial symptoms highlight the importance of adopting holistic, tailored strategies to support cognitive health. Developing profile-specific interventions addressing physical function, symptom management, and psychosocial well-being is essential for preventing cognitive decline in this population.
BACKGROUND
Community-dwelling older adults differ in their social, psychological, and cognitive resources, which may influence health-related quality of life and healthy aging. Variable-centered approaches may not fully capture this heterogeneity. This study aimed to identify psychosocial and cognitive profiles among c...
A dynamic psychosomatic interaction pattern among frailty, depression, and self-perceptions of aging in community-dwelling older adults supports the Psychosomatic Interaction Theory (PIT) and Stereotype Embodiment Theory (SET).
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Key factors contribute to differences in depression and anxiety symptoms among older adults: gender, body mass index, ethnicity, occupation before retirement, marital status, physical disability status, independence in activities of daily living, number of chronic diseases, smoking and drinking habits, dietary habits,...
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BACKGROUND
Depression is a leading mental health concern among community dwelling older adults, with childhood trauma and current loneliness identified as critical risk factors. However, existing research has predominantly examined these variables in isolation, obscuring heterogeneity in their co-occurring patterns and...
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Education-, economic-, and healthcare-related disadvantage were key structural links to frailty, with cognition serving as the main frailty bridge, and insight is provided into important pathways through which social disadvantage may contribute to frailty risk.
Ying Gao, Denise Shuk Ting Cheung, Hing-Chau Pui· Journal of general internal...· 0 citations
The simulation findings indicate that certain symptoms may be associated with greater model-based changes in network activation and provide an exploratory framework for understanding heterogeneity in psychological frailty, but require validation in longitudinal and intervention studies.
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