Evidence map›Paper›PMID 20041121›Full record

ArticlePloS one2009

School variation in asthma: compositional or contextual?

Tracy K Richmond, S V Subramanian

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Tracy K RichmondDivision of Adolescent Medicine, Children's Hospital Boston, Boston, Massachusetts, United States of America. tracy.richmond@childrens.harvard.edu
S V Subramanian

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Asthma Disparities: Advancing Multilevel Causal ModelsK25HL081275 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUBRAMANIAN, SANKARAN VENKATA · 2005 to 2009
$717k
School environments and adolescents weight status and physical activity patternsK01HD058042 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI RICHMOND, TRACY K · 2008 to 2012
$636k
NHLBI NIH HHS 1 K25 HL081275NHLBI NIH HHS K25 HL081275NICHD NIH HHS 1K01HD058042-01A1NICHD NIH HHS K01 HD058042NICHD NIH HHS P01 HD031921NICHD NIH HHS P01-HD31921
6 · The paper itself

Abstract

backgroundChildhood asthma prevalence and morbidity have been shown to vary by neighborhood. Less is known about between-school variation in asthma prevalence and whether it exists beyond what one might expect due to students at higher risk of asthma clustering within different schools. Our objective was to determine whether between-school variation in asthma prevalence exists and if so, if it is related to the differential distribution of individual risk factors for and correlates of asthma or to contextual influences of schools.

methodsCross-sectional analysis of 16,640 teens in grades 7-12 in Wave 1 (data collected in 1994-5) of the National Longitudinal Study of Adolescent Health. Outcome was current diagnosis of asthma as reported by respondents' parents. Two-level random effects models were used to assess the contribution of schools to the variance in asthma prevalence before and after controlling for individual attributes.

resultsThe highest quartile schools had mean asthma prevalence of 21.9% compared to the lowest quartile schools with mean asthma prevalence of 7.1%. In our null model, the school contributed significantly to the variance in asthma (sigma(u0)(2) = 0.27, CI: 0.20, 0.35). Controlling for individual, school and neighborhood attributes reduced the between-school variance modestly (sigma(u0)(2) = 0.19 CI: 0.13-0.29).

conclusionSignificant between-school variation in current asthma prevalence exists even after controlling for the individual, school and neighborhood factors. This provides evidence for school level contextual influences on asthma. Further research is needed to determine potential mechanisms through which schools may influence asthma outcomes.

Indexed as

AdolescentAsthmaFemaleHumansMaleModels, StatisticalPrevalenceSchoolsUnited States

Identifiers

PMID20041121
PMCPMC2795778

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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.