ArticleJournal of youth and adolescence2011
A multi-level examination of the association between older social models in the school environment and overweight and obesity among younger students.
Article in Journal of youth and adolescence, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
9 citing papers in PubMed.
- Examining the impact of timing of alcohol use initiation on changes to body weight and weight status among students in the COMPASS study.Preventive medicine reports · 2019Article
- Obese Peers' Influence on Students' BMI: Heterogeneity in Race and Sex.Health behavior and policy review · 2018Article
- The COMPASS study: a longitudinal hierarchical research platform for evaluating natural experiments related to changes in school-level programs, policies and built environment resources.BMC public health · 2014Article
- A cross-sectional examination of school characteristics associated with overweight and obesity among grade 1 to 4 students.BMC public health · 2013Article
- Reliability and validity of the weight status and dietary intake measures in the COMPASS questionnaire: are the self-reported measures of body mass index (BMI) and Canada's food guide servings robust?The international journal of behavioral nutrition and physical activity · 2013Article
- A multilevel examination of factors of the school environment and time spent in moderate to vigorous physical activity among a sample of secondary school students in grades 9-12 in Ontario, Canada.International journal of public health · 2012Article
- Linking childhood obesity to the built environment: a multi-level analysis of home and school neighbourhood factors associated with body mass index.Canadian journal of public health = Revue canadienne de sante publique · 2012Article
- A multilevel examination of gender differences in the association between features of the school environment and physical activity among a sample of grades 9 to 12 students in Ontario, Canada.BMC public health · 2012Article
- The association between overweight and opportunity structures in the built environment: a multi-level analysis among elementary school youth in the PLAY-ON study.International journal of public health · 2011Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Few studies have examined how school characteristics are associated with obesity. The purpose of this study was to examine the student- and school-level characteristics associated with being overweight and obese among 12,049 students in grades 9 and 10 (junior students) attending 76 secondary schools in Ontario, Canada. The sample was 49.2% female and the average age was 14.7 years. Overall, 15.0% of the sample was considered overweight and 6.3% of the sample was considered obese. Multi-level regression analysis revealed significant between-school random variation for the likelihood of a junior student (grade 9 or 10) being overweight or obese. For each 1% increase in the prevalence of obese senior students (grade 11 and 12) at a school, the odds of a junior student at that school being overweight or obese increased significantly. Important student-level characteristics included physical activity, screen time sedentary behaviour (e.g., watching television), participation in varsity sports and gender. Future research should evaluate if the optimal population level impact for school-based obesity prevention programming might be achieved by targeting the schools that are putting students at the greatest risk.
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.