Evidence map›Paper›PMID 35216633›Full record

ArticleInjury epidemiology2022

Absolute versus relative socioeconomic disadvantage and homicide: a spatial ecological case-control study of US zip codes.

Ariana N Gobaud, Christina A Mehranbod, Beidi Dong, James Dodington, Christopher N Morrison

Abstract read
In one paragraph

Article in Injury epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

5 authors.

Ariana N GobaudDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Rm 516, New York, NY, 10032, USA. ang2167@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-9582-7232
Christina A MehranbodDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Rm 516, New York, NY, 10032, USA.
Beidi DongDepartment of Criminology, Law and Society, George Mason University, Fairfax, VA, USA.
James DodingtonDepartment of Pediatrics and Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Christopher N MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, Rm 516, New York, NY, 10032, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
CE19-001, The Columbia Center for Injury Science and Prevention (CCISP)R49CE003094 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRANAS, CHARLES C. · 2018 to 2023
$4.3M
ACL HHS R49CE003094CDC HHS R49-CE003094NCATS NIH HHS UL1 TR001863NCIPC CDC HHS R49 CE003094
6 · The paper itself

Abstract

backgroundHomicide is a major cause of death and contributes to health disparities in the United States. This burden overwhelmingly affects people from racial and ethnic minority populations as homicide occurs more often in neighborhoods with high proportions of racial and ethnic minority residents. Research has identified that environmental factors contribute to variation in homicide rates between neighborhoods; however, it is not clear why some neighborhoods with high concentrations of racial and ethnic minority residents have high homicide rates while neighborhoods with similar demographic compositions do not. The aim of this study was to assess whether relative socioeconomic disadvantage, (i.e., income inequality), or absolute socioeconomic disadvantage (i.e., income) measured at the ZIP code- and state-levels, is associated with high homicide rates in US ZIP codes, independent of racial and ethnic composition.

methodsThis ecological case-control study compared median household income and income inequality in 250 ZIP codes with the highest homicide rate in our sample in 2017 (cases) to 250 ZIP codes that did not experience any homicide deaths in 2017 (controls). Cases were matched to controls 1:1 based on demographic composition. Variables were measured at both the ZIP code- and state-levels.

resultsLower median household income at the ZIP code-level contributed most substantially to the homicide rate. Income inequality at the state-level, however, was additionally significant when controlling for both ZIP code- and state-level factors.

conclusionsArea-based interventions that improve absolute measures of ZIP code socioeconomic disadvantage may reduce gaps in homicide rates.

Indexed as

HomicideIncomeIncome inequality

Identifiers

PMID35216633
PMCPMC8876118

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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.