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美国县级自杀率与海拔空间变化关系的生态学研究。

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

机构信息

Department of Sociology, Anthropology and Geography, Auburn University at Montgomery, 7041 Senators Drive, Montgomery, AL 36117, USA.

Department of Geology and Geography, Georgia Southern University, P.O. Box 8149, Statesboro, GA 30460, USA.

出版信息

Int J Environ Res Public Health. 2018 Apr 4;15(4):671. doi: 10.3390/ijerph15040671.

Abstract

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 (² = 0.483, < 0.001). Our GWR model fitted the data better, as indicated by an improved 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 = 0.171; z = 33.656; < 0.001 vs. Moran’s = 0.323; z = 63.526; < 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.

摘要

自杀是一个严重但可预防的公共卫生问题。先前的几项研究表明,在美国相邻县一级,海拔与自杀率之间存在正相关关系。我们采用跨县生态研究设计,评估了自杀率与海拔之间的关系。自杀率数据来自美国国家伤害预防与控制中心(NCIPC)维护的基于网络的伤害统计查询与报告系统(WISQARS)。海拔数据来自美国地质调查局(USGS)。我们采用普通最小二乘法(OLS)回归模型,分析了美国 3064 个相邻县的海拔与自杀率之间的关系。在控制了几个既定的协变量后,我们进行了地理加权回归(GWR),以检验自杀率与海拔之间的空间变化关系。在 OLS 模型中,数据集显示海拔与自杀率之间存在显著的正相关关系(2008 年至 2014 年平均县率)(²=0.483,<0.001)。我们的 GWR 模型拟合数据的效果更好,表现在²的提高(平均:0.62;范围:0.21–0.64)和 Akaike 信息准则(AIC)值的降低(OLS 模型中为 13593.68,而 GWR 模型中为 14432.14)。GWR 模型还显著降低了空间自相关,这一点可以从 Moran's I 检验统计量(Moran's = 0.171;z = 33.656;<0.001 与 OLS 模型中的 Moran's = 0.323;z = 63.526;<0.001)得到证实。此外,在美国的北部地区、北部平原地区和东南部地区,检测到了更强的正相关关系。我们的研究证实了海拔与自杀之间存在总体正相关关系,但存在差异。未来的研究可能需要考虑在回归模型中控制更多的预测变量,如枪支拥有量、宗教和获得心理健康服务的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63d2/5923713/76615a1a14c5/ijerph-15-00671-g001.jpg

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