Food environments and childhood weight status: effects of neighborhood median income

Child Obes. 2015 Jun;11(3):260-8. doi: 10.1089/chi.2014.0139. Epub 2015 Apr 29.

Abstract

Background: A key aspect of any intervention to improve obesity is to better understand the environment in which decisions are being made related to health behaviors, including the food environment.

Methods: Our aim was to examine the extent to which proximity to six types of food establishments is associated with BMI z-score and explore potential effect modification of this relationship. We used geographical information software to determine proximity from 49,770 pediatric patients' residences to six types of food establishments. BMI z-score obtained from the electronic health record was the primary outcome.

Results: In multivariable analyses, living in closest proximity to large (β, -0.09 units; 95% confidence interval [CI], -0.13, -0.05) and small supermarkets (-0.08 units; 95% CI, -0.11, -0.04) was associated with lower BMI z-score; living in closest proximity to fast food (0.09 units; 95% CI, 0.03, 0.15) and full-service restaurants (0.07 units; 95% CI, 0.01, 0.14) was associated with a higher BMI z-score versus those living farthest away. Neighborhood median income was an effect modifier of the relationships of convenience stores and full-service restaurants with BMI z-score. In both cases, closest proximity to these establishments had more of an adverse effect on BMI z-score in lower-income neighborhoods.

Conclusions: Living closer to supermarkets and farther from fast food and full-service restaurants was associated with lower BMI z-score. Neighborhood median income was an effect modifier; convenience stores and full-service restaurants had a stronger adverse effect on BMI z-score in lower-income neighborhoods.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Body Mass Index
  • Child
  • Child, Preschool
  • Environment Design / statistics & numerical data*
  • Female
  • Food Supply / statistics & numerical data*
  • Health Behavior*
  • Humans
  • Income / statistics & numerical data*
  • Male
  • Massachusetts / epidemiology
  • Pediatric Obesity / epidemiology
  • Pediatric Obesity / prevention & control*
  • Residence Characteristics
  • Restaurants / statistics & numerical data*
  • Risk Factors
  • Social Environment*
  • Socioeconomic Factors
  • Walking / statistics & numerical data