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Am J Prev Med ; 67(2): 201-209, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-38484903

RESUMO

INTRODUCTION: Residential food environments are one of the important determinants of cardiovascular health. However, past literature has been limited by short-term follow-ups, time-invariant environmental measurements at baseline, and/or not investigating both healthy and unhealthy aspects of the food environment. This study examines the effects of time-varying healthy and unhealthy food environments on incident cardiovascular disease (CVD) over 10 years, extracting data from the Health and Retirement Study (2006-2016; N=10,413). METHODS: Cox proportional hazards modeling was performed with inverse probability weighting to assess the association between time-varying food environmental measures (i.e., densities of grocery stores, supercenters/club stores, full-service restaurants, and fast-food restaurants) and incident CVD over 10 years. Education level and race/ethnicity were tested as potential moderators. Analyses were conducted in 2022-2023. RESULTS: Race/ethnicity had a significant interaction effect with supercenters/club stores and indicated that a 1-standard-deviation increase in the density of supercenters/club stores was associated with a 6%-8% lower risk of incident CVD in non-Hispanic Black (HR=0.78, 95% CI=0.70-0.87) and Hispanic older adults (HR=0.69, 95% CI=0.50-0.96), but not non-Hispanic White older adults. Additionally, education had a significant interaction effect with full-service restaurants, indicating that a 1-standard-deviation increase in the density of full-service restaurants was associated with a 10% lower risk of incident CVD in individuals with 13+ years of schooling, but not those with 0-12 years of schooling. CONCLUSIONS: Findings suggest that public policymakers should be aware of the benefits and nuances of varying food environment components as they can contribute to positive or negative cardiovascular health.


Assuntos
Doenças Cardiovasculares , Restaurantes , Humanos , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/prevenção & controle , Masculino , Feminino , Pessoa de Meia-Idade , Restaurantes/estatística & dados numéricos , Idoso , Estados Unidos/epidemiologia , Aposentadoria/estatística & dados numéricos , Abastecimento de Alimentos/estatística & dados numéricos , Fast Foods/estatística & dados numéricos , Modelos de Riscos Proporcionais , Supermercados
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