Urban v. suburban perceptions of the neighbourhood food environment as correlates of adolescent food purchasing

Public Health Nutr. 2012 Feb;15(2):299-306. doi: 10.1017/S1368980011002114. Epub 2011 Aug 23.

Abstract

Objective: To assess the relationship between adolescent perception of time to walk to neighbourhood food retail outlets and purchasing of sugar-sweetened beverages (SSB), fast and convenience food items, and to test for differences by urban v. suburban environment.

Design: Cross-sectional observational study.

Setting: Twin Cities Metropolitan Area, Minnesota, USA.

Subjects: Adolescents from two studies completed survey-based measures on perceptions of time to walk to food retail outlets from home, purchasing patterns of SSB and fast and convenience store items, perceptions of personal safety and pedestrian infrastructure, and demographic characteristics. Descriptive analysis, Spearman correlations and multivariate linear regression, accounting for clustering, were conducted.

Results: There were 634 adolescents, approximately half male, predominantly white, with a middle-class background. Greater perceived time to food outlets was associated with less frequent purchasing of SSB, convenience store foods and fast-food items. Multivariate models showed that a perceived shorter walking time (i.e. 1-5 v. 31+ min) was significantly associated with more SSB purchasing. SSB purchases were also significantly associated with the number of food outlets within a 10 min walk (B = 0·05, P = 0·02).

Conclusions: A reduction in consumption of SSB and other energy-dense snacks is an important obesity prevention approach. An approach offering alternatives or reducing exposure in addition to education to alter purchasing habits may contribute to improving dietary habits and reducing the obesity epidemic.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Nutritional Physiological Phenomena
  • Beverages / statistics & numerical data*
  • Cluster Analysis
  • Commerce / statistics & numerical data*
  • Cross-Sectional Studies
  • Diet / economics
  • Diet / statistics & numerical data
  • Energy Intake
  • Fast Foods / economics
  • Fast Foods / statistics & numerical data
  • Female
  • Humans
  • Male
  • Minnesota
  • Obesity / prevention & control*
  • Perception*
  • Statistics, Nonparametric
  • Time Factors
  • Urban Population / statistics & numerical data*
  • Walking / psychology