Multiple Health Behaviors Engagement in an African American Cohort: Clustering Patterns and Correlates Article Swipe
Dalnim Cho
,
Nga Nguyen
,
Larkin L. Strong
,
Ivan H. C. Wu
,
Jemima C. John
,
Kamisha Hamilton Escoto
,
David W. Wetter
,
Lorna H. McNeill
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1177/1090198119826207
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1177/1090198119826207
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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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/1090198119826207
- OA Status
- green
- Cited By
- 8
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2916077653
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2916077653Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/1090198119826207Digital Object Identifier
- Title
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Multiple Health Behaviors Engagement in an African American Cohort: Clustering Patterns and CorrelatesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-02-18Full publication date if available
- Authors
-
Dalnim Cho, Nga Nguyen, Larkin L. Strong, Ivan H. C. Wu, Jemima C. John, Kamisha Hamilton Escoto, David W. Wetter, Lorna H. McNeillList of authors in order
- Landing page
-
https://doi.org/10.1177/1090198119826207Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10069919/pdf/nihms-1883329.pdfDirect OA link when available
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Latent class model, Psychosocial, Psychological intervention, Demography, Cohort, Psychology, Social class, Norm (philosophy), Medicine, Gerontology, Psychiatry, Internal medicine, Sociology, Law, Mathematics, Statistics, Political scienceTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 1, 2024: 2, 2023: 1, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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55Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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