4.6 Article

Weight status and restaurant availability - A multilevel analysis

期刊

AMERICAN JOURNAL OF PREVENTIVE MEDICINE
卷 34, 期 2, 页码 127-133

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.amepre.2007.09.031

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资金

  1. NIA NIH HHS [T32 AG000177-19, T32 AG000177] Funding Source: Medline
  2. NICHD NIH HHS [K12HD043459, K12 HD043459] Funding Source: Medline

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Background: Empiric studies find that contextual factors affect individual weight status over and above individual socioeconomic characteristics. Given increasing levels of obesity, researchers are examining how the food environment contributes to unhealthy weight status. An important change to this environment is the increasing availability of away-from-home eating establishments such as restaurants. Methods: This study analyzed the relationship between the restaurant environment and weight status across counties in the United States. Individual data from the 2002-2006 Behavioral Risk Factor Surveillance System (N=714,054) were linked with restaurant data from the 2002 U.S. Economic Census. Fast-food and full-service restaurant density, along with restaurant mix (the ratio of fast-food to full-service restaurants), were assessed. Results: Fast-food restaurant density and a higher ratio of fast-food to full-service restaurants were associated with higher individual-level weight status (BMI and the risk of being obese). In contrast, a higher density of full-service restaurants was associated with lower weight status. Conclusions: Area-level restaurant mix emerged as an important correlate of weight status, with components of the restaurant environment exhibiting differential associations. Hence, it is the availability of fast-food relative to other away from-home choices that appears salient for unhealthy weight outcomes. Areas with a high density of full-service restaurants were indicative of a more healthful eating environment, suggesting a need for research into the comparative healthfulness of foods served at different types of restaurants. Future prospective studies are required to delineate causal pathways.

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