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School Programs and Characteristics and Their Influence on Student BMI: Findings from Healthy Passages

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2014

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Public Library of Science
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Richmond, T. K., M. N. Elliott, L. Franzini, I. Kawachi, M. O. Caughy, M. J. Gilliland, C. E. Walls, et al. 2014. “School Programs and Characteristics and Their Influence on Student BMI: Findings from Healthy Passages.” PLoS ONE 9 (1): e83254. doi:10.1371/journal.pone.0083254. http://dx.doi.org/10.1371/journal.pone.0083254.

Abstract

Background: Little is known about the contribution of school contextual factors to individual student body mass index (BMI). We set out to determine if school characteristics/resources: (1) are associated with student BMI; (2) explain racial/ethnic disparities in student BMI; and (3) explain school-level differences in student BMI. Methods: Using gender-stratified multi-level modeling strategies we examined the association of school characteristics/resources and individual BMI in 4,387 5th graders in the Healthy Passages Longitudinal Study of Adolescent Health. Additionally, we examined the association of race/ethnicity and individual BMI as well as the between-school variance in BMI before and after adding individual and school characteristics to test for attenuation. Results: The school-level median household income, but not physical activity or nutrition resources, was inversely associated with female BMI (β = −0.12, CI: −0.21,−0.02). Neither school demographics nor physical activity/nutrition resources were predictive of individual BMI in males. In Black females, school characteristics attenuated the association of race/ethnicity and BMI. Individual student characteristics—not school characteristics/resources-reduced the between-school variation in BMI in males by nearly one-third and eliminated it in females. Conclusions: In this cohort of 5th graders, school SES was inversely associated with female BMI while school characteristics and resources largely explained Black/White disparities in female weight status. Between-school differences in average student weight status were largely explained by the composition of the student body not by school characteristics or programming.

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Mathematics, Statistics, Biostatistics, Confidence Intervals, Medicine, Clinical Research Design, Longitudinal Studies, Epidemiology, Pediatric Epidemiology, Social Epidemiology, Nutrition, Obesity, Public Health, Socioeconomic Aspects of Health

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