Literature DB >> 26327492

Social participation predicts cognitive functioning in aging adults over time: comparisons with physical health, depression, and physical activity.

Kyle J Bourassa1, Molly Memel1, Cindy Woolverton1, David A Sbarra1.   

Abstract

OBJECTIVES: Several risk and protective factors are associated with changes in cognitive functioning in aging adults - including physical health, depression, physical activity, and social activities - though the findings for participation in social activities are mixed. This study investigated the longitudinal association between social participation and two domains of cognitive functioning, memory and executive function. A primary goal of our analyses was to determine whether social participation predicted cognitive functioning over-and-above physical health, depression, and physical activity in a sample with adequate power to detect unique effects.
METHOD: The sample included aging adults (N = 19,832) who participated in a large, multi-national study and provided data across six years; split into two random subsamples. Unique associations between the predictors of interest and cognitive functioning over time and within occasion were assessed in a latent curve growth model.
RESULTS: Social participation predicted both domains of cognitive functioning at each occasion, and the relative magnitude of this effect was comparable to physical health, depression, and physical activity level. In addition, social participation at the first time point predicted change in cognitive functioning over time. The substantive results in the initial sample were replicated in the second independent subsample.
CONCLUSION: Overall, the magnitude of the association of social participation is comparable to other well-established predictors of cognitive functioning, providing evidence that social participation plays an important role in cognitive functioning and successful aging.

Entities:  

Keywords:  cognition; depression; physical activity; physical health; social participation

Mesh:

Year:  2015        PMID: 26327492     DOI: 10.1080/13607863.2015.1081152

Source DB:  PubMed          Journal:  Aging Ment Health        ISSN: 1360-7863            Impact factor:   3.658


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