Lorraine R Reitzel1, Hiroe Okamoto2, Daphne C Hernandez3, Seann D Regan4, Lorna H McNeill5, Ezemenari M Obasi2. 1. The University of Houston, Department of Psychological, Health, and Learning Sciences, Houston, TX, USA Lrreitzel@central.uh.edu. 2. The University of Houston, Department of Psychological, Health, and Learning Sciences, Houston, TX, USA. 3. The University of Houston, Department of Health and Human Performance, Houston, TX, USA. 4. All Points Consulting, Houston, TX, USA. 5. The University of Texas MD Anderson Cancer Center, Department of Health Disparities Research, Houston, TX, USA.
Abstract
OBJECTIVES: The built food environment surrounding people's homes may influence their dietary intake. This exploratory study examined how the density of different sources of food in the residential environment was associated with dietary consumption among 77 African-American adults in Houston, Texas. METHODS: The number of fast-food-type restaurants, large grocery stores, and convenience-type stores within 2- and 5-mile residential buffers were divided by the respective areas to obtain food environment density variables. Intake of fruit and vegetables [FV], fiber [FI], and percent energy from fat [PEF] was assessed using National Health Interview Survey items. Covariate-adjusted regressions were used to assess relations of interest. RESULTS: Greater density of fast-food-type restaurants within 2 miles was associated with greater FV, FI, and PEF (ps ≤ .012); and for FV and FI within 5 miles (ps ≤ .004). Density of large grocery stores was unrelated to intake. Greater density of convenience-type stores within 2 miles was negatively associated with FV and FI (ps ≤ .03); results became marginal at 5 miles for FV (p = .10) but not FI (p = .03). CONCLUSION: Maximizing healthy offerings in venue-rich metropolitan areas might provide direction for policies to reduce obesity.
OBJECTIVES: The built food environment surrounding people's homes may influence their dietary intake. This exploratory study examined how the density of different sources of food in the residential environment was associated with dietary consumption among 77 African-American adults in Houston, Texas. METHODS: The number of fast-food-type restaurants, large grocery stores, and convenience-type stores within 2- and 5-mile residential buffers were divided by the respective areas to obtain food environment density variables. Intake of fruit and vegetables [FV], fiber [FI], and percent energy from fat [PEF] was assessed using National Health Interview Survey items. Covariate-adjusted regressions were used to assess relations of interest. RESULTS: Greater density of fast-food-type restaurants within 2 miles was associated with greater FV, FI, and PEF (ps ≤ .012); and for FV and FI within 5 miles (ps ≤ .004). Density of large grocery stores was unrelated to intake. Greater density of convenience-type stores within 2 miles was negatively associated with FV and FI (ps ≤ .03); results became marginal at 5 miles for FV (p = .10) but not FI (p = .03). CONCLUSION: Maximizing healthy offerings in venue-rich metropolitan areas might provide direction for policies to reduce obesity.
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