ArticleBMC public health2012
Does place of residence affect risk of suicide? a spatial epidemiologic investigation in Kentucky from 1999 to 2008.
Article in BMC public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fatal intentional drowning in Australia: A systematic literature review of rates and risk factors.PloS one · 2020Pooled it
- A Comparison of Post-Traumatic Stress and Depressive Symptoms by Suicidal Ideation Among Black Transgender Women.Research in nursing & health · 2026Article
- Global spatiotemporal analysis of suicide epidemiology and risk factor associations from 2000 to 2019 using Bayesian space time hierarchical modeling.Scientific reports · 2025Article
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- Detection of Suicide Clusters using Small-Area Geographic Data from the Virginia Violent Death Reporting System, 2010 - 2015.Virginia journal of public health · 2023Article
- A longitudinal study of suicide and suicide attempt in northwest of Iran: incidence, predictors, and socioeconomic status and the role of sociocultural status.BMC public health · 2021Article
- Spatiotemporal clustering of suicides in the US from 1999 to 2016: a spatial epidemiological approach.Social psychiatry and psychiatric epidemiology · 2019Article
- Spatial Clustering of Suicide and Associated Community Characteristics, Idaho, 2010-2014.Preventing chronic disease · 2019Article
- Comparison of the Clusters and Non-Clusters Areas of Attempted Suicide Cases in Hamadan Province, Western Iran: Findings from a Pilot Study (2016-2017).Journal of research in health sciences · 2018Article
- Spatial clustering of fatal, and non-fatal, suicide in new South Wales, Australia: implications for evidence-based prevention.BMC psychiatry · 2017Article
- Living with traumatic brain injury in a rural setting: supports and barriers across the continuum of care.Disability and rehabilitation · 2017Article
- Article
- Factors influencing attempted and completed suicide in postnatal women: A population-based study in Taiwan.Scientific reports · 2016Article
- Socio-environmental drivers and suicide in Australia: Bayesian spatial analysis.BMC public health · 2014Article
- Spatial clusters of suicide in Australia.BMC psychiatry · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundApproximately 32,000 people take their own lives every year in the United States. In Kentucky, suicide mortality rates have been steadily increasing since 1999. Few studies in the United States have assessed spatial clustering of suicides. The purpose of this study was to identify high-risk clusters of suicide at the county level in Kentucky and assess the characteristics of those suicide cases within the clusters.
methodsA spatial epidemiological study was undertaken using suicide data for the period January 1, 1999 to December 31, 2008, obtained from the Kentucky Office of Vital Statistics. Descriptive analyses using Pearson's chi-square test and t-test were performed to determine whether differences existed in age, marital status, year, season, and suicide method between males and females, and between cases inside and outside high-risk spatial clusters. Annual age-adjusted cumulative incidence rates were also calculated. Suicide incidence rates were spatially smoothed using the Spatial Empirical Bayesian technique. Kulldorff's spatial scan statistic was applied on all suicide cases at the county level to identify counties with the highest risks of suicide. Temporal cluster analysis was also performed.
resultsThere were a total of 5,551 suicide cases in Kentucky from 1999 to 2008, of which 5,237 (94%) were included in our analyses. The majority of suicide cases were males (82%). The average age of suicide victims was 45.4 years. Two statistically significant (p < 0.05) high-risk spatial clusters, involving 15 counties, were detected. The county level cumulative incidence rate in the most likely high-risk cluster ranged from 12.4 to 21.6 suicides per 100,000 persons. The counties inside both high-risk clusters had relative risks ranging from 1.24 to 1.38.
conclusionsStatistically significant high-risk spatial clusters of suicide were detected at the county level. This study may be useful for guiding future research and intervention efforts. Future studies will need to focus on these high-risk clusters to investigate reasons for these occurrences.
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