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

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-...

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Detalles Bibliográficos
Autores principales: Richmond, Tracy K., Elliott, Marc N., Franzini, Luisa, Kawachi, Ichiro, Caughy, Margaret O., Gilliland, M. Janice, Walls, Courtney E., Franklin, Frank A., Lowry, Richard, Banspach, Stephen W., Schuster, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3890265/
https://www.ncbi.nlm.nih.gov/pubmed/24454697
http://dx.doi.org/10.1371/journal.pone.0083254
Descripción
Sumario: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 5(th) 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 5(th) 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.