Cargando…

An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States

Suicide is a serious but preventable public health issue. Several previous studies have revealed a positive association between altitude and suicide rates at the county level in the contiguous United States. We assessed the association between suicide rates and altitude using a cross-county ecologic...

Descripción completa

Detalles Bibliográficos
Autores principales: Ha, Hoehun, Tu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923713/
https://www.ncbi.nlm.nih.gov/pubmed/29617301
http://dx.doi.org/10.3390/ijerph15040671
_version_ 1783318407002718208
author Ha, Hoehun
Tu, Wei
author_facet Ha, Hoehun
Tu, Wei
author_sort Ha, Hoehun
collection PubMed
description Suicide is a serious but preventable public health issue. Several previous studies have revealed a positive association between altitude and suicide rates at the county level in the contiguous United States. We assessed the association between suicide rates and altitude using a cross-county ecological study design. Data on suicide rates were obtained from a Web-based Injury Statistics Query and Reporting System (WISQARS), maintained by the U.S. National Center for Injury Prevention and Control (NCIPC). Altitude data were collected from the United States Geological Survey (USGS). We employed an ordinary least square (OLS) regression to model the association between altitude and suicide rates in 3064 counties in the contiguous U.S. We conducted a geographically weighted regression (GWR) to examine the spatially varying relationship between suicide rates and altitude after controlling for several well-established covariates. A significant positive association between altitude and suicide rates (average county rates between 2008 and 2014) was found in the dataset in the OLS model (R(2) = 0.483, p < 0.001). Our GWR model fitted the data better, as indicated by an improved R(2) (average: 0.62; range: 0.21–0.64) and a lower Akaike Information Criteria (AIC) value (13,593.68 vs. 14,432.14 in the OLS model). The GWR model also significantly reduced the spatial autocorrelation, as indicated by Moran’s I test statistic (Moran’s I = 0.171; z = 33.656; p < 0.001 vs. Moran’s I = 0.323; z = 63.526; p < 0.001 in the OLS model). In addition, a stronger positive relationship was detected in areas of the northern regions, northern plain regions, and southeastern regions in the U.S. Our study confirmed a varying overall positive relationship between altitude and suicide. Future research may consider controlling more predictor variables in regression models, such as firearm ownership, religion, and access to mental health services.
format Online
Article
Text
id pubmed-5923713
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-59237132018-05-03 An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States Ha, Hoehun Tu, Wei Int J Environ Res Public Health Article Suicide is a serious but preventable public health issue. Several previous studies have revealed a positive association between altitude and suicide rates at the county level in the contiguous United States. We assessed the association between suicide rates and altitude using a cross-county ecological study design. Data on suicide rates were obtained from a Web-based Injury Statistics Query and Reporting System (WISQARS), maintained by the U.S. National Center for Injury Prevention and Control (NCIPC). Altitude data were collected from the United States Geological Survey (USGS). We employed an ordinary least square (OLS) regression to model the association between altitude and suicide rates in 3064 counties in the contiguous U.S. We conducted a geographically weighted regression (GWR) to examine the spatially varying relationship between suicide rates and altitude after controlling for several well-established covariates. A significant positive association between altitude and suicide rates (average county rates between 2008 and 2014) was found in the dataset in the OLS model (R(2) = 0.483, p < 0.001). Our GWR model fitted the data better, as indicated by an improved R(2) (average: 0.62; range: 0.21–0.64) and a lower Akaike Information Criteria (AIC) value (13,593.68 vs. 14,432.14 in the OLS model). The GWR model also significantly reduced the spatial autocorrelation, as indicated by Moran’s I test statistic (Moran’s I = 0.171; z = 33.656; p < 0.001 vs. Moran’s I = 0.323; z = 63.526; p < 0.001 in the OLS model). In addition, a stronger positive relationship was detected in areas of the northern regions, northern plain regions, and southeastern regions in the U.S. Our study confirmed a varying overall positive relationship between altitude and suicide. Future research may consider controlling more predictor variables in regression models, such as firearm ownership, religion, and access to mental health services. MDPI 2018-04-04 2018-04 /pmc/articles/PMC5923713/ /pubmed/29617301 http://dx.doi.org/10.3390/ijerph15040671 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ha, Hoehun
Tu, Wei
An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States
title An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States
title_full An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States
title_fullStr An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States
title_full_unstemmed An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States
title_short An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States
title_sort ecological study on the spatially varying relationship between county-level suicide rates and altitude in the united states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923713/
https://www.ncbi.nlm.nih.gov/pubmed/29617301
http://dx.doi.org/10.3390/ijerph15040671
work_keys_str_mv AT hahoehun anecologicalstudyonthespatiallyvaryingrelationshipbetweencountylevelsuicideratesandaltitudeintheunitedstates
AT tuwei anecologicalstudyonthespatiallyvaryingrelationshipbetweencountylevelsuicideratesandaltitudeintheunitedstates
AT hahoehun ecologicalstudyonthespatiallyvaryingrelationshipbetweencountylevelsuicideratesandaltitudeintheunitedstates
AT tuwei ecologicalstudyonthespatiallyvaryingrelationshipbetweencountylevelsuicideratesandaltitudeintheunitedstates