Evidence map›Paper›PMID 36915201›Full record

ArticleInjury epidemiology2023

Your neighborhood matters: an ecological social determinant study of the relationship between residential racial segregation and the risk of firearm fatalities.

Abdul R Shour, Ronald Anguzu, Yuhong Zhou, Alice Muehlbauer, Adedayo Joseph, Tinuola Oladebo, David Puthoff, Adedayo A Onitilo

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Article in Injury epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Racism and racial disparities in firearm violence: A scoping review.American journal of community psychology · 2026
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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

8 authors.

Abdul R ShourMarshfield Clinic Cancer Care and Research Center, Clinical Research Institute, Marshfield, WI, USA. shour.abdul@marshfieldresearch.org.ORCID http://orcid.org/0000-0001-6884-9535
Ronald AnguzuDivision of Epidemiology and Social Sciences, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
Yuhong ZhouDivision of Epidemiology and Social Sciences, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
Alice MuehlbauerLogistics, and Guest Relations, Froedtert Hospital, Milwaukee, WI, USA.
Adedayo JosephNSIA-LUTH Cancer Center, Lagos University Teaching Hospital, Lagos, Nigeria.
Tinuola OladeboMasters of Sustainable Peacebuilding Program, University of Wisconsin Milwaukee, Milwaukee, WI, USA.
David PuthoffMarshfield Clinic Research Institute, Marshfield Clinic Health System, 1000 N Oak Ave, Marshfield, WI, 54449, USA.
Adedayo A OnitiloMarshfield Clinic Cancer Care and Research Center, Clinical Research Institute, Marshfield, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFirearm fatalities are a major public health concern, claiming the lives of 40,000 Americans each year. While firearm fatalities have pervasive effects, it is unclear how social determinants of health (SDOH) such as residential racial segregation, income inequality, and community resilience impact firearm fatalities. This study investigates the relationships between these SDOH and the likelihood of firearm fatalities.

methodsCounty-level SDOH data from the Agency for Health Care Research and Quality for 2019 were analyzed, covering 72 Wisconsin counties. The dependent variable was the number of firearm fatalities in each county, used as a continuous variable. The independent variable was residential racial segregation (Dissimilarity Index), defined as the degree to which non-White and White residents were distributed across counties, ranging from 0 (complete integration) to 100 (complete segregation), and higher values indicate greater residential segregation (categorized as low, moderate, and high). Covariates were income inequality ranging from zero (perfect equality) to one (perfect inequality) categorized as low, moderate, and high, community resilience risk factors (low, moderate, and high risks), and rural-urban classifications. Descriptive/summary statistics, unadjusted and adjusted negative binomial regression adjusting for population weight, were performed using STATA/MPv.17.0; P-values ≤ 0.05 were considered statistically significant. ArcMap was used for Geographic Information System analysis.

resultsIn 2019, there were 802 firearm fatalities. The adjusted model demonstrates that the risk of firearm fatalities was higher in areas with high residential racial segregation compared to low-segregated areas (IRR.:1.26, 95% CI:1.04-1.52) and higher in areas with high-income inequality compared to areas with low-income inequality (IRR.:1.18, 95% CI:1.00-1.40). Compared to areas with low-risk community resilience, the risk of firearm fatalities was higher in areas with moderate (IRR.:0.61, 95% CI:0.48-0.78), and in areas with high risk (IRR.:0.53, 95% CI:0.41-0.68). GIS analysis demonstrated that areas with high racial segregation also have high rates of firearm fatalities.

conclusionAreas with high residential racial segregation have a high rate of firearm fatalities. With high income inequality and low community resilience, the likelihood of firearm fatalities increases.

Indexed as

Community resilienceDissimilarity indexFirearm fatalitiesIncome inequalityResidential segregation

Identifiers

PMID36915201
PMCPMC10012477

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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.