Prevalence of overweight and obesity among school-aged children in urban, rural and mountain areas of the Veneto Region, Italy

Public Health Nutr. 2008 Sep;11(9):887-90. doi: 10.1017/S1368980007001152. Epub 2007 Oct 17.

Abstract

Objective: To define the prevalence of overweight and obesity among school-aged children resident in mountain areas, rural areas and urban areas.

Design, setting and subjects: The sample (n = 12832; 50.7% boys) included 9- and 11-year-old children of the Veneto Region of north-east Italy. Overweight and obesity status were determined using the International Obesity Task Force cut-off points for body mass index. The prevalence of overweight and obese subjects was calculated with a confidence interval of 95%. The Mantel-Haenszel method was used to compare the combined prevalence of overweight and obesity among children resident in mountain areas, rural areas and urban areas.

Results: Among boys the prevalence of overweight was 21.06%, while obesity prevalence was 5.92%; among girls overweight prevalence was 21.30%, while obesity prevalence was 5.15%. The prevalence was higher among 11-year-old boys (odds ratio (OR) = 1.19; 95% confidence interval (CI): 1.06-1.33) and 9-year-old girls (OR = 1.13; 95% CI: 1.01-1.26). Children resident in rural areas presented a higher risk of overweight and obesity compared with children resident in mountain areas (Mantel-Haenszel OR = 1.27; 95% CI: 1.13-1.42; chi2 = 17.55; P < 0.0001) and in urban areas (Mantel-Haenszel OR = 1.18; 95% CI: 1.07-1.31; chi2 = 10.39; P < 0.001).

Conclusions: A relevant prevalence of overweight and obesity was found; the excess weight concerns one child in four. There are differences linked to different geographical areas that must be further investigated.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Body Mass Index
  • Child
  • Child Nutritional Physiological Phenomena*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Italy / epidemiology
  • Male
  • Obesity / epidemiology*
  • Overweight / epidemiology*
  • Prevalence
  • Rural Population
  • Sex Factors
  • Urban Population