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Can J Public Health ; 103(9 Suppl 3): eS15-21, 2012 Jul 26.
Article in English | MEDLINE | ID: mdl-23618083

ABSTRACT

OBJECTIVES: This study examines environmental factors associated with BMI (body mass index) levels among adolescents with the aim of identifying potential interventions for reducing childhood obesity. METHODS: Students (n=1,048) aged 10-14 years at 28 schools in London, ON, completed a survey providing information on age, sex, height, weight, home address, etc., which was used to construct age-sex adjusted BMI z-scores. The presence of recreation opportunities, fast-food outlets and convenience stores was assessed using four areal units around each participant's home and school neighbourhood: "circular buffers" encompassing territory within a straight-line distance of 500 m and 1000 m; and "network buffers" of 500 m and 1000 m measured along the street network. School neighbourhoods were also assessed using school-specific "walksheds". Multilevel structural equation modeling techniques were employed to simultaneously test the effects of school-environment (Level 2) and home-environment (Level 1) predictors on BMI z-scores. RESULTS: Most participants (71%) had a normal BMI, 16.9% were overweight, 7.6% were obese, and 4.6% were considered underweight. Multilevel analyses indicated that built environment characteristics around children's homes and schools had a modest but significant effect on their BMI. The presence of public recreation opportunities within a 500 m network distance of home was associated with lower BMI z-scores (p<0.05), and fast-food outlets within the school walkshed was associated with higher BMI z-scores (p<0.05). CONCLUSION: Interventions and policies that improve children's access to publicly provided recreation opportunities near home and that mitigate the concentration of fast-food outlets close to schools may be key to promoting healthy lifestyles and reducing childhood obesity.


Subject(s)
Environment Design/statistics & numerical data , Obesity/epidemiology , Residence Characteristics/statistics & numerical data , Schools , Adolescent , Body Mass Index , Child , Fast Foods/statistics & numerical data , Female , Humans , Male , Multilevel Analysis , Ontario/epidemiology , Public Facilities/statistics & numerical data , Recreation , Risk Factors
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