Evidence map›Paper›PMID 27096932›Full record

ArticleThe American journal of drug and alcohol abuse2016

Local spatial clustering in youths' use of tobacco, alcohol, and marijuana in Boston.

Dustin T Duncan, Michael Rienti, Martin Kulldorff, Jared Aldstadt, Marcia C Castro, Rochelle Frounfelker, James H Williams, Glorian Sorensen, Renee M Johnson, David Hemenway and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of drug and alcohol abuse, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Geospatial clustering in sugar-sweetened beverage consumption among Boston youth.International journal of food sciences and nutrition · 2017
    Article
  6. Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  7. Article
  8. 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

11 authors at 6 institutions in 1 country.

Dustin T Duncana Department of Population Health , New York University School of Medicine , New York , NY , USA.
Michael Rientif Department of Geography , University at Buffalo, State University of New York , Buffalo , NY , USA.
Martin Kulldorffh Department of Medicine , Brigham and Women's Hospital and Harvard Medical School , Boston , MA , USA.
Jared Aldstadtf Department of Geography , University at Buffalo, State University of New York , Buffalo , NY , USA.
Marcia C Castroi Department of Global Health and Population , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Rochelle Frounfelkerk Department of Social and Behavioral Sciences , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
James H Williamsa Department of Population Health , New York University School of Medicine , New York , NY , USA.
Glorian Sorensenl Center for Community-based Research , Dana-Farber Cancer Institute , Boston , MA , USA.
Renee M Johnsonn Department of Mental Health , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
David Hemenwayo Department of Health Policy and Management , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
David R Williamsk Department of Social and Behavioral Sciences , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Harvard University · USUniversity at Buffalo, State University of New York · USDana-Farber Cancer Institute · USJohns Hopkins University · USNew York College of Health Professions · USNew York University · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
National Academic Centers of Excellence on Youth Violen*U49CE000740 · CE · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HEMENWAY, DAVID · 2005 to 2009
$3.2M
SaTScan: Spatial Scan Statistic Surveillance Software IIR01CA165057 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI KULLDORFF, MARTIN · 2012 to 2016
$1.1M
The Neighborhood Context of Marijuana Use Among Low-income Urban YouthK01DA031738 · NIDA · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, RENEE M. · 2011 to 2015
$763k
NCI NIH HHS R01 CA165057NCIPC CDC HHS U49 CE000740NIDA NIH HHS K01 DA031738NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

backgroundUnderstanding geographic variation in youth drug use is important for both identifying etiologic factors and planning prevention interventions. However, little research has examined spatial clustering of drug use among youths by using rigorous statistical methods.

objectivesThe purpose of this study was to examine spatial clustering of youth use of tobacco, alcohol, and marijuana.

methodsResponses on tobacco, alcohol, and marijuana use from 1,292 high school students ages 13-19 who provided complete residential addresses were drawn from the 2008 Boston Youth Survey Geospatial Dataset. Response options on past month use included "none," "1-2," "3-9," and "10 or more." The response rate for each substance was approximately 94%. Spatial clustering of youth drug use was assessed using the spatial Bernoulli model in the SatScan™ software package.

resultsApproximately 12%, 36%, and 18% of youth reported any past-month use of tobacco, alcohol, and/or marijuana, respectively. Two clusters of elevated past tobacco use among Boston youths were generated, one of which was statistically significant. This cluster, located in the South Boston neighborhood, had a relative risk of 5.37 with a p-value of 0.00014. There was no significant localized spatial clustering in youth past alcohol or marijuana use in either the unadjusted or adjusted models.

conclusionSignificant spatial clustering in youth tobacco use was found. Finding a significant cluster in the South Boston neighborhood provides reason for further investigation into neighborhood characteristics that may shape adolescents' substance use behaviors. This type of research can be used to evaluate the underlying reasons behind spatial clustering of youth substance and to target local drug abuse prevention interventions and use.

Indexed as

AdolescentAlcohol DrinkingBostonFemaleHumansMaleMarijuana SmokingResidence CharacteristicsSchoolsStudentsTobacco UseYoung Adultalcohol usedrug usemarijuana useSpatial clusteringtobacco useyouth

Identifiers

PMID27096932
PMCPMC4966281
OpenAlexW2335800578

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.