4.5 Article

Food environment and socioeconomic status influence obesity rates in Seattle and in Paris

期刊

INTERNATIONAL JOURNAL OF OBESITY
卷 38, 期 2, 页码 306-314

出版社

SPRINGERNATURE
DOI: 10.1038/ijo.2013.97

关键词

socioeconomic status (SES); access to supermarket; food environment; food shopping

资金

  1. NIH [R01DK076608, R21 DK085406]
  2. l'Institut de Recherche en Sante Publique (IReSP)
  3. l'Institut National de Prevention et d'Education a la Sante (INPES)
  4. l'Institut de Veille Sanitaire (InVS)
  5. les Ministeres de la Sante et de la Recherche
  6. l'Agence Nationale de la Recherche (ANR)
  7. le Groupement Regional de Sante Publique (GRSP) d'Ile-de-France
  8. la Direction Regionale des Affaires Sanitaires et Sociales d'Ile-de-France (DRASSIF)
  9. la Direction Regionale de la Jeunesse et des Sports d'Ile-de-France (DRDJS)
  10. le Conseil Regional d'Ile358 de-France
  11. l'Ecole des Hautes Etudes en Sante Publique (EHESP)

向作者/读者索取更多资源

OBJECTIVE: To compare the associations between food environment at the individual level, socioeconomic status (SES) and obesity rates in two cities: Seattle and Paris. METHODS: Analyses of the SOS (Seattle Obesity Study) were based on a representative sample of 1340 adults in metropolitan Seattle and King County. The RECORD (Residential Environment and Coronary Heart Disease) cohort analyses were based on 7131 adults in central Paris and suburbs. Data on sociodemographics, health and weight were obtained from a telephone survey (SOS) and from in-person interviews (RECORD). Both studies collected data on and geocoded home addresses and food shopping locations. Both studies calculated GIS (Geographic Information System) network distances between home and the supermarket that study respondents listed as their primary food source. Supermarkets were further stratified into three categories by price. Modified Poisson regression models were used to test the associations among food environment variables, SES and obesity. RESULTS: Physical distance to supermarkets was unrelated to obesity risk. By contrast, lower education and incomes, lower surrounding property values and shopping at lower-cost stores were consistently associated with higher obesity risk. CONCLUSION: Lower SES was linked to higher obesity risk in both Paris and Seattle, despite differences in urban form, the food environments and in the respective systems of health care. Cross-country comparisons can provide new insights into the social determinants of weight and health.

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