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-  2019 

Multiple Health Behaviors Engagement in an African American Cohort: Clustering Patterns and Correlates

DOI: 10.1177/1090198119826207

Keywords: African American,church,health disparities,multiple health behaviors,multiple risk factors,socio-ecological models

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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

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