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• W2916077653 abstract "We investigated class clustering patterns of four behaviors—physical activity, fruit and vegetable (F&V) intake, smoking, and alcohol use—in a faith-based African American cohort. Guided by socio-ecological models, we also examined the psychosocial and neighborhood social environmental factors associated with the clustering patterns. Participants were 1,467 African American adults recruited from a mega church in the metropolitan Houston, TX, in 2008-2009. They completed a survey and health assessment. Latent class analysis and multinomial regression analysis were conducted. Results supported a three-class model: Class 1 was characterized by low physical activity, low F&V intake, and low substance use (smoking and alcohol use). Class 2 was characterized by high physical activity, low F&V intake, and mild drinking. Class 3 seemed to be the healthiest group, characterized by high physical activity, moderate-to-high F&V intake, and low substance use. The probabilities of being included in Classes 1, 2, and 3 were .33, .48, and .19, respectively. Participants in Class 1 (vs. Class 3) reported lower physical activity norm ( p < .001) and higher smoking norm ( p = .002) and lower neighborhood social cohesion ( p = .031). Participants in Class 2 (vs. Class 3) reported higher cancer risk perception ( p < .001), lower F&V norm ( p = .022), lower physical activity norm ( p < .001), higher smoking norm ( p < .001), and lower social cohesion ( p = .047). As health behaviors are clustered together, future interventions for African Americans may consider targeting multiple health behaviors instead of targeting a single health behavior. Interventions addressing social norm and neighborhood social cohesion may enhance multiple health behaviors engagement in this population." @default.
• W2916077653 created "2019-03-02" @default.
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• W2916077653 date "2019-02-18" @default.
• W2916077653 modified "2023-09-27" @default.
• W2916077653 title "Multiple Health Behaviors Engagement in an African American Cohort: Clustering Patterns and Correlates" @default.
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• W2916077653 doi "https://doi.org/10.1177/1090198119826207" @default.
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