Spat Spatiotemporal Epidemiol - Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial.

Tópicos

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Resumo

CKGROUND: This study examined imputational modeling effects of spatial proximity and social factors of walking in African American adults.PURPOSE: Models were compared that examined relationships between household proximity to a walking trail and social factors in determining walking status.METHODS: Participants (N=133; 66% female; mean age=55 years) were recruited to a police-supported walking and social marketing intervention. Bayesian modeling was used to identify predictors of walking at 12 months.RESULTS: Sensitivity analysis using different imputation approaches, and spatial contextual effects, were compared. All the imputation methods showed social life and income were significant predictors of walking, however, the complete data approach was the best model indicating Age (1.04, 95% OR: 1.00, 1.08), Social Life (0.83, 95% OR: 0.69, 0.98) and Income <$10,000 (0.10, 95% OR: 0.01, 0.97) were all predictors of walking.CONCLUSIONS: The complete data approach was the best model of predictors of walking in African Americans.

Resumo Limpo

ckground studi examin imput model effect spatial proxim social factor walk african american adultspurpos model compar examin relationship household proxim walk trail social factor determin walk statusmethod particip n femal mean age year recruit policesupport walk social market intervent bayesian model use identifi predictor walk monthsresult sensit analysi use differ imput approach spatial contextu effect compar imput method show social life incom signific predictor walk howev complet data approach best model indic age social life incom predictor walkingconclus complet data approach best model predictor walk african american

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