Evidence map›Paper›PMID 40312702›Full record

ArticleInjury epidemiology2025

Exploring spatial dynamics of trauma and substance use among suicide deaths in the United States (2017-2021).

Bianca D Smith, Kechna Cadet, Terrinieka W Powell

Abstract read
In one paragraph

Article in Injury epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Bianca D SmithDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. bsmit195@jhu.edu.ORCID http://orcid.org/0009-0006-0200-8518
Kechna CadetDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Terrinieka W PowellDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
NIDA NIH HHS L60 DA061545NIDA NIH HHS T32 DA007292NIDA NIH HHS T32DA007292NIDA NIH HHS T32 DA031099NIDA NIH HHS T32DA031099
6 · The paper itself

Abstract

backgroundSuicide remains a significant cause of death in the United States. Traumatic events, such as experiences of violence, financial loss, and mental illness, significantly increase an individual's risk of suicide. Substance use, often used as a coping mechanism for trauma, frequently occurs alongside these events. Geographic patterns of trauma and substance use may reveal underlying factors that contribute to suicide rates across the nation.

methodsData from the National Violent Death Reporting System (NVDRS), collected between 2017 and 2021, was used to examine spatial relationships between traumatic events and substance use among suicides. Spatial autocorrelation was used to assess global spatial dependence of traumatic events among suicide deaths. Additionally, hot spot analyses were conducted to pinpoint regions with significantly elevated or reduced experiences of trauma. Colocation analyses were conducted to identify areas where traumatic events and substance use co-occur spatially.

resultsTraumatic events among suicides exhibited geographic clustering. Spatial clusters of traumatic events were identified in specific regions across the U.S. and its territories. Hot spots were predominantly observed in Western and Midwestern areas, while more cold spots were found in Southern regions. Additionally, colocation analysis revealed that Midwestern counties had a higher likelihood of experiencing traumatic events in conjunction with substance use history among suicide decedents.

conclusionClustering patterns may provide insight on underlying mechanisms that have significant impacts on suicide outcomes. The colocation analysis helps reveal patterns of spatial clustering, shedding light on potential risk factors or shared characteristics in those areas. By examining both global and local spatial patterns, researchers gain insights into the distribution of trauma and substance use-related incidents and their association with suicide.

Indexed as

Hot spotSpatial epidemiologySubstance useSuicideTrauma

Identifiers

PMID40312702
PMCPMC12046928

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LicenceCC BY
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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.