ArticlePreventing chronic disease2019
Spatial Clustering of Suicide and Associated Community Characteristics, Idaho, 2010-2014.
Article in Preventing chronic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Spatial, geographic, and demographic factors associated with adolescent and youth suicide: a systematic review study.Frontiers in psychiatry · 2024Pooled it
- Quantitative Methods to Detect Suicide and Self-Harm Clusters: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Geospatial suicide risk prediction in the State of Maryland and the limits of discernible intent.Research square · 2026Article
- Differences across intersecting racial, ethnic, and gender identity in the spatiotemporal patterning of suicide clusters in the US from 2005-2020.SSM - population health · 2025Article
- Exploring spatial dynamics of trauma and substance use among suicide deaths in the United States (2017-2021).Injury epidemiology · 2025Article
- Association Between COVID-19 and Self-Harm: Nationwide Retrospective Ecological Spatiotemporal Study in Metropolitan France.JMIR public health and surveillance · 2024Article
- Spatial clustering of suicide mortality and associated community characteristics in Kanagawa prefecture, Japan, 2011-2017.BMC psychiatry · 2020Article
- Population Health, Place, and Space: Spatial Perspectives in Chronic Disease Research and Practice.Preventing chronic disease · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn 2015, Idaho had the fifth highest suicide rate in the United States. Little is known about the characteristics of areas in Idaho with high suicide rates. To aid suicide prevention efforts in the state, we sought to identify and characterize spatial clusters of suicide.
methodsWe obtained population data from the 2010 US Census and the 2010-2014 American Community Survey, analyzed data on suicides from death certificates, and used a discrete Poisson model in SaTScan to identify spatial clusters of suicide. We used logistic regression to examine associations between suicide clustering and population characteristics.
resultsWe found 2 clusters of suicide during 2010-2014 that accounted for 70 (4.7%) of 1,501 suicides in Idaho. Areas within clusters were positively associated with the following population characteristics: median age ≤31.1 years versus >31.1 years (multivariable-adjusted odds ratio [aOR] = 2.4; 95% confidence interval [CI], 1.04-5.6), >53% female vs ≤53% female (aOR = 2.7; 95% CI, 1.3-5.8; P = .01), >1% American Indian/Alaska Native vs ≤1% American Indian/Alaska Native (aOR = 2.9; 95% CI, 1.4-6.3), and >30% never married vs ≤30% never married (aOR = 3.4; 95% CI, 1.5-8.0; P = .004).
conclusionIdaho suicide prevention programs should consider using results to target prevention efforts to communities with disproportionately high suicide rates.
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