Community-level obesity prevention is not associated with dieting behaviours and weight dissatisfaction in children: The Healthy Communities Study

Pediatr Obes. 2020 Apr;15(4):e12594. doi: 10.1111/ijpo.12594. Epub 2019 Dec 22.

Abstract

Background: Within the context of high childhood obesity prevalence, there is a concern that community efforts intended to reduce childhood obesity may lead to unintended adverse outcomes.

Objective: This analysis examined relationships between community programs, policies, and environmental changes (CPPs) for obesity prevention with unhealthy dieting behaviours and body weight satisfaction in children.

Methods: Using the Healthy Communities Study 2013 to 2015 survey sample of 5138 US children aged 4 to 15 years old, multilevel models examined associations between standardized CPP intensity scores and child dieting behaviours and weight satisfaction, adjusting for community and child-level covariates and clustered study design.

Results: In fully adjusted models, higher total, physical activity, and nutrition CPP intensity scores were associated with lower odds of dissatisfaction with weight (1 year total CPP odds ratio [OR]: 0.41, 95% confidence interval [CI], 0.22-0.73; 6 year total CPP OR: 0.48, 0.29-0.80). Higher physical activity CPP intensity over the past year was associated with greater odds of weight satisfaction (OR: 1.77, 95% CI, 1.10-2.84). No associations were observed with dieting behaviours.

Conclusions: Results suggest that community efforts focusing on nutrition and physical activity to prevent childhood obesity may be associated with weight satisfaction and not with unhealthy dieting behaviours.

Keywords: children; community; obesity; policies; programmes; weight.

Publication types

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

MeSH terms

  • Adolescent
  • Body Weight*
  • Child
  • Child, Preschool
  • Exercise
  • Feeding Behavior*
  • Female
  • Humans
  • Male
  • Nutritional Status
  • Pediatric Obesity / prevention & control*
  • Personal Satisfaction
  • Public Health* / statistics & numerical data