Evidence map›Paper›PMID 24740174›Full record

ArticleAdministration and policy in mental health2015

Neighborhood sociodemographic predictors of Serious Emotional Disturbance (SED) in schools: demonstrating a small area estimation method in the National Comorbidity Survey (NCS-A) Adolescent Supplement.

Jennifer Greif Green, Margarita Alegría, Ronald C Kessler, Katie A McLaughlin, Michael J Gruber, Nancy A Sampson, Alan M Zaslavsky

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Administration and policy in mental health, 2015. 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

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

2 citing papers in PubMed.

  1. Article
  2. Exposure to violence: associations with psychiatric disorders in Brazilian youth.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
    Article
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

7 authors.

Jennifer Greif GreenSchool of Education, Boston University, Two Silber Way, Boston, MA, 02215, USA, jggreen@bu.edu.
Margarita Alegría
Ronald C Kessler
Katie A McLaughlin
Michael J Gruber
Nancy A Sampson
Alan M Zaslavsky

Funding

EPIDEMIOLOGY-- NATIONAL COMORBIDITY SURVEY REPLICATIONU01MH060220 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 1999 to 2010
$18.7M
Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Psychometric Analyses of the CIDI-AR01MH066627 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ZASLAVSKY, ALAN M · 2002 to 2007
$2.3M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
Prevalence of and Risk and Protective Factors for Suicidal BehaviorsR01MH077883 · NIMH · HARVARD UNIVERSITY · PI NOCK, MATTHEW K · 2007 to 2009
$1.4M
Reducing Ethnic and Racial Bias in Screening for Psychiatric Disorders in AdolescRC1MD004588 · NIMHD · CAMBRIDGE HEALTH ALLIANCE · PI ALEGRIA, MARGARITA · 2009 to 2010
$1000k
Child adversity and the developmental epidemiology of mood and anxiety disorders.K01MH092526 · NIMH · UNIVERSITY OF WASHINGTON · PI MCLAUGHLIN, KATIE · 2011 to 2015
$846k
Evaluating the Role of School in Adolescent Mental Health Service ProvisionK01MH085710 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GREEN, JENNIFER GREIF · 2010 to 2014
$757k
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481FIC NIH HHS R03-TW006481NIDA NIH HHS R01 DA016558NIDA NIH HHS R01-DA016558NIMHD NIH HHS 5RC1MD004588NIMHD NIH HHS RC1 MD004588NIMH NIH HHS K01 MH085710NIMH NIH HHS K01-MH085710NIMH NIH HHS K01 MH092526NIMH NIH HHS K01-MH092526NIMH NIH HHS R01 MH066627NIMH NIH HHS R01 MH069864NIMH NIH HHS R01-MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R01-MH070884NIMH NIH HHS R01 MH077883NIMH NIH HHS R01-MH077883NIMH NIH HHS R01-MH66627NIMH NIH HHS R13 MH066849NIMH NIH HHS R13-MH066849NIMH NIH HHS U01 MH060220NIMH NIH HHS U01-MH60220
6 · The paper itself

Abstract

We evaluate the precision of a model estimating school prevalence of SED using a small area estimation method based on readily-available predictors from area-level census block data and school principal questionnaires. Adolescents at 314 schools participated in the National Comorbidity Supplement, a national survey of DSM-IV disorders among adolescents. A multilevel model indicated that predictors accounted for under half of the variance in school-level SED and even less when considering block-group predictors or principal report alone. While Census measures and principal questionnaires are significant predictors of individual-level SED, associations are too weak to generate precise school-level predictions of SED prevalence.

Indexed as

AdolescentAffective SymptomsComorbidityFemaleHumansMalePrevalenceResidence CharacteristicsSchoolsSmall-Area AnalysisSocioeconomic Factors

Identifiers

PMID24740174
PMCPMC4201632

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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.