2019
DOI: 10.1001/jamanetworkopen.2019.10936
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Contextual Factors Associated With County-Level Suicide Rates in the United States, 1999 to 2016

Abstract: Key PointsQuestionWhat are the spatial and temporal trends in suicide rates, how are contextual-level factors associated with suicide, and do these associations vary across the rural-urban continuum?FindingsThis cross-sectional study found that suicide rates in the United States increased from 1999 to 2016, with the greatest increase in rural counties. Deprivation had a disproportionately negative association with suicide rates in rural counties, the presence of gun shops and a higher percentage of uninsured i… Show more

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Cited by 133 publications
(140 citation statements)
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References 57 publications
(84 reference statements)
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“…One plausible explanation for the widening gap in mortality comes from individuals' health and health-related behaviors. In particular, the opioid crisis (Gomes et al 2018;Kolodny et al 2015), obesity (Flegal et al 2012;Frederick, Snellman, and Putnam 2014), suicide rates (Rossen et al 2018, Steelesmith et al 2019, and smoking (Pernenkil, Wyatt, and Akinyemiju 2017) may each contribute to growing inequality in mortality. While previous research has documented trends in mortality inequality by using mortality data and some education and income measures of SES, it often has not looked at health status directly, partly because the data analyzed (e.g., Census data, Current Population Survey data, Social Security Administration death records) had no or limited information about individuals' health.…”
Section: Introductionmentioning
confidence: 99%
“…One plausible explanation for the widening gap in mortality comes from individuals' health and health-related behaviors. In particular, the opioid crisis (Gomes et al 2018;Kolodny et al 2015), obesity (Flegal et al 2012;Frederick, Snellman, and Putnam 2014), suicide rates (Rossen et al 2018, Steelesmith et al 2019, and smoking (Pernenkil, Wyatt, and Akinyemiju 2017) may each contribute to growing inequality in mortality. While previous research has documented trends in mortality inequality by using mortality data and some education and income measures of SES, it often has not looked at health status directly, partly because the data analyzed (e.g., Census data, Current Population Survey data, Social Security Administration death records) had no or limited information about individuals' health.…”
Section: Introductionmentioning
confidence: 99%
“…A detailed and more recent analysis found associations between higher suicide rates and higher: deprivation (especially in rural areas); social fragmentation; percent uninsured; and percent veterans [48]. Lower suicide rates, in contrast, were associated with higher social capital [48]. Others have presented similar or complementary data and analyses, with similar conclusions and useful discussions [49,50].…”
Section: Driving Forcesmentioning
confidence: 90%
“…drug/alcohol related deaths and suicides, or "deaths of despair"). A detailed and more recent analysis found associations between higher suicide rates and higher: deprivation (especially in rural areas); social fragmentation; percent uninsured; and percent veterans [48]. Lower suicide rates, in contrast, were associated with higher social capital [48].…”
Section: Driving Forcesmentioning
confidence: 96%
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