Evidence map›Paper›PMID 25713969›Full record

ArticleAmerican journal of public health2015

Disentangling the relative influence of schools and neighborhoods on adolescents' risk for depressive symptoms.

Erin C Dunn, Carly E Milliren, Clare R Evans, S V Subramanian, Tracy K Richmond

Abstract read
In one paragraph

Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. School Racial Composition as a Moderator of the Effect of Discrimination on Mental Health and Substance use Among American Indian Adolescents.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
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  17. Context Matters: Adolescent Neighborhood and School Influences on Young Adult Body Mass Index.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
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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

5 authors.

Erin C DunnErin C. Dunn is with the Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA. Carly E. Milliren is with the Clinical Research Center, Boston Children's Hospital, Boston. Clare R. Evans and S. V. Subramanian are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston. Tracy K. Richmond is with the Department of Medicine, Division of Adolescent Medicine, Boston Children's Hospital, Boston.
Carly E Milliren
Clare R Evans
S V Subramanian
Tracy K Richmond

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Genes, early adversity, and sensitive periods in social-emotional developmentK01MH102403 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN · 2014 to 2017
$710k
School environments and adolescents weight status and physical activity patternsK01HD058042 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI RICHMOND, TRACY K · 2008 to 2012
$636k
NICHD NIH HHS K01 HD058042NICHD NIH HHS K01HD058042NICHD NIH HHS P01 HD031921NICHD NIH HHS P01-HD31921NIMH NIH HHS K01 MH102403NIMH NIH HHS L40 MH098379
6 · The paper itself

Abstract

objectivesAlthough schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents.

methodsAnalyzing data from wave 1 (1994-1995) of the National Longitudinal Study of Adolescent Health, we used cross-classified multilevel modeling to examine between-level variation and individual-, school-, and neighborhood-level predictors of adolescent depressive symptoms. Also, we compared the results of our cross-classified multilevel models (CCMMs) with those of a multilevel model wherein either school or neighborhood was excluded.

resultsIn CCMMs, the school-level random effect was significant and more than 3 times the neighborhood-level random effect, even after individual-level characteristics had been taken into account. Individual-level indicators (e.g., race/ethnicity, socioeconomic status) were associated with depressive symptoms, but there was no association with either school- or neighborhood-level fixed effects. The between-level variance in depressive symptoms was driven largely by schools as opposed to neighborhoods.

conclusionsSchools appear to be more salient than neighborhoods in explaining variation in depressive symptoms. Future work incorporating cross-classified multilevel modeling is needed to understand the relative effects of schools and neighborhoods.

Indexed as

AdolescentAge FactorsDepressionFemaleHumansLongitudinal StudiesMaleResidence CharacteristicsSchoolsSex FactorsSocioeconomic Factors

Identifiers

PMID25713969
PMCPMC4358201

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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.