@article{5b6967a743c3454e8c8a8b16fdc127ad,
title = "Exploring Place-Based Differences in Suicide and Suicide-Related Outcomes Among North Carolina Adolescents and Young Adults",
abstract = "Purpose: Suicide is an ongoing public health crisis among youth and adolescents, and few studies have investigated the spatial patterning in the United States among this subpopulation. Potential precursors to suicide in this vulnerable group are also on the rise, including nonfatal self-injury. Methods: This study uses emergency department data, death certificates, and violent death reporting system data for North Carolina from 2009 to 2018 to investigate spatial clusters of self-injury and suicide. Results: Findings show that the demographic characteristics of individuals committing fatal and nonfatal self-injury are quite different. Self-injury and completed suicides exhibited different geographical patterns. Area-level measures like micropolitan status and measures of racial and income segregation predicted the presence of high-risk suicide clusters. Suicides among Native Americans and veteran status/military personnel also were associated with higher risk suicide clusters. Discussion: Future interventions should target these specific high-risk locations for immediate reductions in adolescent and youth suicides.",
keywords = "Mapping, Racial segregation, Rurality, Self-harm, Spatial analysis, Suicide, Suicide ideation",
author = "Sugg, {Margaret M.} and Runkle, {Jennifer D.} and Andersen, {Lauren M.} and Desjardins, {Michael R.}",
note = "Funding Information: The North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) is an advanced, statewide public health surveillance system. North Carolina Disease Event Tracking and Epidemiologic Collection Tool is funded with federal funds by the North Carolina Division of Public Health, Public Health Emergency Preparedness Grant, and managed through a collaboration between North Carolina Division of Public Health and the University of North Carolina at Chapel Hill Department of Emergency Medicine's Carolina Center for Health Informatics. The findings and conclusions in this publication are those of the author(s) and do not necessarily represent the views of the North Carolina Department of Health and Human Services, Division of Public Health. The authors would like to acknowledge Dalton Akos and Amelia Gallina (Appalachian State University) for their contributions to preliminary data collection and analysis.This work was supported by the American Foundation for Suicide Prevention's standard research grant (SRG-0-160-19) and the Faculty Early Career Development Program (CAREER) award (grant #2044839) from the National Science Foundation. Funding Information: The North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) is an advanced, statewide public health surveillance system. North Carolina Disease Event Tracking and Epidemiologic Collection Tool is funded with federal funds by the North Carolina Division of Public Health , Public Health Emergency Preparedness Grant, and managed through a collaboration between North Carolina Division of Public Health and the University of North Carolina at Chapel Hill Department of Emergency Medicine{\textquoteright}s Carolina Center for Health Informatics. The findings and conclusions in this publication are those of the author(s) and do not necessarily represent the views of the North Carolina Department of Health and Human Services, Division of Public Health. Funding Information: This work was supported by the American Foundation for Suicide Prevention {\textquoteright}s standard research grant ( SRG-0-160-19 ) and the Faculty Early Career Development Program (CAREER) award ( grant #2044839 ) from the National Science Foundation . Publisher Copyright: {\textcopyright} 2022 Society for Adolescent Health and Medicine",
year = "2023",
month = jan,
doi = "10.1016/j.jadohealth.2022.06.013",
language = "English (US)",
volume = "72",
pages = "27--35",
journal = "Journal of Adolescent Health",
issn = "1054-139X",
publisher = "Elsevier USA",
number = "1",
}