Evidence map›Paper›PMID 31853720›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2020

Neighborhood Structural Factors and Proximal Risk for Youth Substance Use.

Christopher Cambron, Rick Kosterman, Isaac C Rhew, Richard F Catalano, Katarina Guttmannova, J David Hawkins

Open access · greenAbstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

25 citing papers in PubMed, 29 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Christopher CambronCollege of Social Work, University of Utah, 395 South 1500 East, Salt Lake City, UT, 84112, USA. chris.cambron@utah.edu.ORCID 0000-0002-6129-0959
Rick KostermanSocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.
Isaac C RhewCenter for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Richard F CatalanoSocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.
Katarina GuttmannovaCenter for the Study of Health and Risk Behaviors, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
J David HawkinsSocial Development Research Group, School of Social Work, University of Washington, Seattle, WA, USA.
University of Washington · USUniversity of Utah · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
Mechanisms Linking Social and Built Environments to Health in the 30sR01DA033956 · NIDA · UNIVERSITY OF WASHINGTON · PI KOSTERMAN, RICHARD · 2013 to 2017
$2.9M
Population Research TrainingT32HD007543 · NICHD · UNIVERSITY OF WASHINGTON · PI CURRAN, SARA R. · 2002 to 2016
$2.3M
Using mobile technology to understand the impact of socioeconomic and neighborhood factors on smoking cessationF32CA232796 · NCI · UNIVERSITY OF UTAH · PI CAMBRON, CHRISTOPHER · 2018 to 2018
$58k
PREVENTING YOUTHFUL DRUG ABUSE: A LONGITUDINAL STUDYR01DA003721 · NIDA · UNIVERSITY OF WASHINGTON · PI HAWKINS, J DAVID · 1985 to 1992
–
NCI NIH HHS F32 CA232796NCI NIH HHS F32CA232796NCI NIH HHS P30 CA042014NICHD NIH HHS R24 HD042828NICHD NIH HHS R24HD042828NICHD NIH HHS T32 HD007543NICHD NIH HHS T32HD007543NIDA NIH HHS 5R01DA003721NIDA NIH HHS 5R01DA033956NIDA NIH HHS R01 DA033956
6 · The paper itself

Abstract

This study examined associations of neighborhood structural factors (census-based measures, socioeconomic disadvantage, and residential stability); self-reported measures of general and substance use-specific risk factors across neighborhood, school, peer, and family domains; and sociodemographic factors with substance use among 9th grade students. Data drawn from the Seattle Social Development Project, a theory-driven longitudinal study originating in Seattle, WA, were used to estimate associations between risk factors and past month cigarette smoking, binge drinking, marijuana use, and polysubstance use among students (N = 766). Results of logistic regression models adjusting for neighborhood clustering and including all domains of risk factors simultaneously indicated that neighborhood socioeconomic disadvantage was associated with a significantly higher likelihood of cigarette smoking, binge drinking, and polysubstance use, but not marijuana use. In fully controlled models, substance use-specific risk factors across neighborhood, school, peer, and family domains were also associated with increased likelihood of substance use and results differed by the outcome considered. Results highlight substance-specific risk factors as an intervention target for reducing youth substance use and suggest that further research is needed examining mechanisms linking neighborhood socioeconomic disadvantage and youth substance use.

Indexed as

Residence CharacteristicsRisk-TakingAdolescentFamily RelationsFemaleHumansLogistic ModelsLongitudinal StudiesMalePeer InfluenceRisk AssessmentSelf ReportSubstance-Related DisordersWashingtonNeighborhood contextRisk factors for substance useYouth substance use

Identifiers

PMID31853720
PMCPMC7166144
OpenAlexW2994815675

What OpenQuestion holds

Textmetadata
LicenceTDM
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.