Evidence map›Paper›PMID 26751351›Full record

ArticleJournal of studies on alcohol and drugs2016

Not in My Back Yard: A Comparative Analysis of Crime Around Publicly Funded Drug Treatment Centers, Liquor Stores, Convenience Stores, and Corner Stores in One Mid-Atlantic City.

C Debra M Furr-Holden, Adam J Milam, Elizabeth D Nesoff, Renee M Johnson, David O Fakunle, Jacky M Jennings, Roland J Thorpe

Abstract readComparative Study
In one paragraph

Article in Journal of studies on alcohol and drugs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

7 authors.

C Debra M Furr-HoldenDepartment of Mental Health, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Adam J MilamDepartment of Mental Health, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Elizabeth D NesoffDepartment of Health, Behavior, and Society, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Renee M JohnsonDepartment of Mental Health, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
David O FakunleDepartment of Mental Health, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Jacky M JenningsCenter for Child and Community Health Research, Department of Pediatrics, The Johns Hopkins School of Medicine, Baltimore, Maryland.
Roland J ThorpeDepartment of Health, Behavior, and Society, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Residential Segregation and Health Care Disparities P60MD000214 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI LAVEIST, THOMAS ALEXIS · 2002 to 2016
$16.8M
JHU Center for the Prevention of Youth ViolenceU01CE001954 · CE · JOHNS HOPKINS UNIVERSITY · PI LEAF, PHILIP J · 2011 to 2015
$5.5M
The Neighborhood Context of Marijuana Use Among Low-income Urban YouthK01DA031738 · NIDA · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, RENEE M. · 2011 to 2015
$763k
NCIPC CDC HHS 1U01CE001954-01A1NCIPC CDC HHS U01 CE001954NIDA NIH HHS K01 DA031738NIDA NIH HHS T32 DA007292NIDA NIH HHS T32DA007292-23NIMHD NIH HHS 5P60MD000214-14NIMHD NIH HHS P60 MD000214
6 · The paper itself

Abstract

objectiveThis research examined whether publicly funded drug treatment centers (DTCs) were associated with violent crime in excess of the violence happening around other commercial businesses.

methodViolent crime data and locations of community entities were geocoded and mapped. DTCs and other retail outlets were matched based on a Neighborhood Disadvantage score at the census tract level. Street network buffers ranging from 100 to 1,400 feet were placed around each location. Negative binomial regression models were used to estimate the relationship between the count of violent crimes and the distance from each business type.

resultsCompared with the mean count of violent crime around drug treatment centers, the mean count of violent crime (M = 2.87) was significantly higher around liquor stores (M = 3.98; t test; p < .01) and corner stores (M = 3.78; t test; p < .01), and there was no statistically significant difference between the count around convenience stores (M = 2.65; t test; p = .32). In the adjusted negative binomial regression models, there was a negative and significant relationship between the count of violent crime and the distance from drug treatment centers (β = -.069, p < .01), liquor stores (β = -.081, p < .01), corner stores (β = -.116, p < .01), and convenience stores (β = -.154, p < .01).

conclusionsViolent crime associated with drug treatment centers is similar to that associated with liquor stores and is less frequent than that associated with convenience stores and corner stores.

Indexed as

BaltimoreCrimeCross-Sectional StudiesFinancing, GovernmentHumansResidence CharacteristicsSmall BusinessSubstance Abuse Treatment CentersViolence

Identifiers

PMID26751351
PMCPMC4711316

What OpenQuestion holds

Textmetadata
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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.