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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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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 |
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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 |
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