1. Objectifs

Intentions :
«Therefore, the primary objective of this study is to determine optimal combinations of individual, familial, and neighborhood environment characteristics that best predict obesity among children using recursive partitioning analysis. A secondary objective is to examine whether the resulting classification is associated with 2-year changes in body mass index (BMI) percentile.» (p. 2)

2. Méthode

Échantillon/Matériau :
«Participants were drawn from QUALITY (Quebec Adipose and Lifestyle Investigation in Youth), an ongoing longitudinal investigation of the natural history of obesity and cardiovascular risk in Quebec youth. At baseline, 630 participants aged 8 to 10 years were recruited using school-based sampling (2005–2010).» (p. 2)

Instruments :
Questionnaires

Type de traitement des données :
Analyse statistique

3. Résumé

«In this sample characterized by an overall high prevalence of familial obesity, successively higher BMI percentiles were found in children who cumulated individual, familial, and neighborhood environment risk factors. However, limited evidence for associations with 2-year changes in BMI percentile was found. […] At equal individual and familial risk and without consideration of subsequent splits, in this sample the prevalence of obesity was almost twice as high among children living in socioeconomically disadvantaged neighborhoods (52%) compared to those living in low disadvantage neighborhoods (28%). Among children living in socioeconomically disadvantaged neighborhoods, elements of the built and food environment, namely access to parks and convenience stores, further determined obesity. Findings suggest that neighborhood environment characteristics previously associated with childhood obesity (i.e., access to parks and convenience stores [...]) may be particularly influential for children who are already most vulnerable due to individual (i.e., physical inactivity)» (p. 7-8)