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Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants
BACKGROUND: Suicide rates vary more than 3-fold across the fifty states. Previous ecological studies have pointed, separately, to covariation of suicide mortality with rates of a) household firearm ownership, and b) antidepressant prescriptions. METHODS: An ecologic study using panel data from 2001-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005708/ https://www.ncbi.nlm.nih.gov/pubmed/27747669 http://dx.doi.org/10.1186/2197-1714-1-6 |
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author | Opoliner, April Azrael, Deborah Barber, Catherine Fitzmaurice, Garrett Miller, Matthew |
author_facet | Opoliner, April Azrael, Deborah Barber, Catherine Fitzmaurice, Garrett Miller, Matthew |
author_sort | Opoliner, April |
collection | PubMed |
description | BACKGROUND: Suicide rates vary more than 3-fold across the fifty states. Previous ecological studies have pointed, separately, to covariation of suicide mortality with rates of a) household firearm ownership, and b) antidepressant prescriptions. METHODS: An ecologic study using panel data from 2001-2005 was used to evaluate the joint and separate association of household firearm ownership and antidepressant prescription rates with the distribution of suicide rates across the United States. Key exposures were household firearm ownership prevalence (using data from the 2004 Behavioral Risk Factor Surveillance System) and antidepressant prescription rates (using data supplied by IMS health). Negative binomial mixed-effect models were used to estimate the association between household firearm ownership prevalence and antidepressant prescriptions rates and state level suicide rates (using data from the National Vital Statistics System), overall and by method of suicide (firearm vs. non-firearm). Sensitivity analyses examined analogous county-level data for those counties for which firearm ownership measures were available. All analyses were adjusted for median income, unemployment rate, and percent of population in urban areas. RESULTS: In adjusted analyses, household firearm prevalence is significantly associated with overall suicide rates (adjusted incidence rate ratio (IRRa) = 1.28, 95% confidence interval (CI): 1.18, 1.38) and firearm suicides rates (IRRa = 1.61, CI: 1.45, 1.80), but not with non-firearm suicide rates (IRRa = 1.05, 95% CI: 0.95, 1.16). By contrast, adjusted analyses find no relationship between suicide rates and antidepressant prescription rates. Findings from county-level analyses were consistent with state-level results. CONCLUSION: The prevalence of household firearm ownership is strongly and significantly associated with overall suicide rates, due to its association with firearm suicide rates. This association is robust to consideration of the role of antidepressant prescription rates. A relationship between antidepressant prescription rates and suicide rates was not observed before or after adjusting for firearm ownership. |
format | Online Article Text |
id | pubmed-5005708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50057082016-08-31 Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants Opoliner, April Azrael, Deborah Barber, Catherine Fitzmaurice, Garrett Miller, Matthew Inj Epidemiol Original Contribution BACKGROUND: Suicide rates vary more than 3-fold across the fifty states. Previous ecological studies have pointed, separately, to covariation of suicide mortality with rates of a) household firearm ownership, and b) antidepressant prescriptions. METHODS: An ecologic study using panel data from 2001-2005 was used to evaluate the joint and separate association of household firearm ownership and antidepressant prescription rates with the distribution of suicide rates across the United States. Key exposures were household firearm ownership prevalence (using data from the 2004 Behavioral Risk Factor Surveillance System) and antidepressant prescription rates (using data supplied by IMS health). Negative binomial mixed-effect models were used to estimate the association between household firearm ownership prevalence and antidepressant prescriptions rates and state level suicide rates (using data from the National Vital Statistics System), overall and by method of suicide (firearm vs. non-firearm). Sensitivity analyses examined analogous county-level data for those counties for which firearm ownership measures were available. All analyses were adjusted for median income, unemployment rate, and percent of population in urban areas. RESULTS: In adjusted analyses, household firearm prevalence is significantly associated with overall suicide rates (adjusted incidence rate ratio (IRRa) = 1.28, 95% confidence interval (CI): 1.18, 1.38) and firearm suicides rates (IRRa = 1.61, CI: 1.45, 1.80), but not with non-firearm suicide rates (IRRa = 1.05, 95% CI: 0.95, 1.16). By contrast, adjusted analyses find no relationship between suicide rates and antidepressant prescription rates. Findings from county-level analyses were consistent with state-level results. CONCLUSION: The prevalence of household firearm ownership is strongly and significantly associated with overall suicide rates, due to its association with firearm suicide rates. This association is robust to consideration of the role of antidepressant prescription rates. A relationship between antidepressant prescription rates and suicide rates was not observed before or after adjusting for firearm ownership. Springer International Publishing 2014-03-20 /pmc/articles/PMC5005708/ /pubmed/27747669 http://dx.doi.org/10.1186/2197-1714-1-6 Text en © Opoliner et al.; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Original Contribution Opoliner, April Azrael, Deborah Barber, Catherine Fitzmaurice, Garrett Miller, Matthew Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants |
title | Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants |
title_full | Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants |
title_fullStr | Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants |
title_full_unstemmed | Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants |
title_short | Explaining geographic patterns of suicide in the US: the role of firearms and antidepressants |
title_sort | explaining geographic patterns of suicide in the us: the role of firearms and antidepressants |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5005708/ https://www.ncbi.nlm.nih.gov/pubmed/27747669 http://dx.doi.org/10.1186/2197-1714-1-6 |
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