Evidence map›Paper›PMID 24454697›Full record

ArticlePloS one2014

School programs and characteristics and their influence on student BMI: findings from healthy passages.

Tracy K Richmond, Marc N Elliott, Luisa Franzini, Ichiro Kawachi, Margaret O Caughy, M Janice Gilliland, Courtney E Walls, Frank A Franklin, Richard Lowry, Stephen W Banspach and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Tracy K RichmondDivision of Adolescent Medicine, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Marc N ElliottStatistics, RAND Corporation, Santa Monica, California, United States of America.
Luisa FranziniDivision of Management, Policy, and Community Health, The University of Texas School of Public Health/Blue Cross and Blue Shield of Texas Research Program in Payment Systems and Policies, Houston, Texas, United States of America.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Margaret O CaughyUniversity of Texas School of Public Health, Dallas, Texas, United States of America.
M Janice GillilandBirmingham, Alabama, United States of America.
Courtney E WallsEpidemiology, Decision Resources, Burlington, Massachusetts, United States of America.
Frank A FranklinDepartment of Maternal and Child Health, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Richard LowryCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Stephen W BanspachCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Mark A SchusterDepartment of Medicine, Boston Children's Hospital, Boston, Massachusetts, United States of America.

Funding

Health Promotion and Disease Prevention Research CentersU48DP000057 · DP · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI TORTOLERO, SUSAN · 2004 to 2009
$17.0M
Center for Health Promotion and Disease PreventionU48DP000046 · DP · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MICHAEL, MAX · 2004 to 2009
$8.5M
UCLA/RAND Center for Adolescent Health PromotionU48DP000056 · DP · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KAPLAN, ROBERT M · 2004 to 2009
$8.0M
School environments and adolescents weight status and physical activity patternsK01HD058042 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI RICHMOND, TRACY K · 2008 to 2012
$636k
NCCDPHP CDC HHS U48 DP000046NCCDPHP CDC HHS U48DP000046NCCDPHP CDC HHS U48 DP000056NCCDPHP CDC HHS U48DP000056NCCDPHP CDC HHS U48 DP000057NCCDPHP CDC HHS U48DP000057NICHD NIH HHS K01 HD058042
6 · The paper itself

Abstract

backgroundLittle 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.

methodsUsing 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.

resultsThe 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.

conclusionsIn 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.

Indexed as

Body Mass IndexHealthSchoolsStudentsAdolescentCohort StudiesFemaleHumansLongitudinal StudiesMaleMultivariate AnalysisRacial GroupsUnited States

Identifiers

PMID24454697
PMCPMC3890265

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.