D. Wambui, Gregory Kearney, Kevin O'Brien, Guy Iverson, Ogugua Ndili Obi
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引用次数: 0
Abstract
There is regional variability in sarcoidosis mortality across the United States. North Carolina ranks highly in sarcoidosis-related mortality, especially among African Americans (AA). We sought to determine any regional variability of sarcoidosis-related mortality and the relationship to sociodemographic determinants of health in North Carolina. Counties in North Carolina were categorized into three distinct geographic regions: Western, Piedmont, and Eastern. Sarcoidosis deaths were stratified by region, race, and gender. We conducted a mapping and cluster analysis utilizing ArcGIS; Global and Local Moran’s I was used to determine the prevalence, spatial autocorrelation, and clustering of mortality vis-a-vis various sociodemographic variables, occupational/environmental exposures, and levels of atmospheric particulate matter less than 2.5 microns in size (PM2.5). Multivariate linear regression with exposure limited to the county level was used to determine the relationship between sarcoidosis mortality and the variables of interest. Eastern North Carolina (ENC) had the highest age-adjusted sarcoidosis mortality rate (1.16/100,000 versus 0.49/100,000 in Piedmont and 0.32/100,000 in the Western region) with statistically significant high-high mortality clusters (P < .001 for Global Moran’s I). Several sociodemographic and occupational factors (proportion of AA, obese adults, and individuals working in nature) were more prevalent in ENC. Region and proportion of AA were the significant mortality predictors in our multivariate analysis. This was a cross-sectional study with exposure limited to the county level. Associations do not imply causality and risks cannot be extrapolated to the individual level. There is regional variability of sarcoidosis mortality in North Carolina. Eastern North Carolina had the highest mortality with high-high mortality clusters.
美国各地的肉样瘤病死亡率存在地区差异。北卡罗来纳州的肉样瘤病相关死亡率居高不下,尤其是非裔美国人(AA)。我们试图确定北卡罗来纳州肉样瘤病相关死亡率的地区差异以及与社会人口健康决定因素的关系。北卡罗来纳州的县被分为三个不同的地理区域:西部、皮德蒙特和东部。肉样瘤病死亡人数按地区、种族和性别进行了分层。我们利用 ArcGIS 进行了绘图和聚类分析;使用全局和局部莫兰 I 来确定死亡率与各种社会人口变量、职业/环境暴露以及小于 2.5 微米的大气颗粒物(PM2.5)水平之间的流行率、空间自相关性和聚类关系。为了确定肉样瘤病死亡率与相关变量之间的关系,我们采用了多变量线性回归法,并将暴露限制在县一级。北卡罗来纳州东部(ENC)的年龄调整后肉样瘤病死率最高(1.16/100,000,而皮德蒙特地区为 0.49/100,000,西部地区为 0.32/100,000),并存在统计学意义上的高死亡率集群(全球莫兰 I 值 P < .001)。一些社会人口和职业因素(AA 比例、肥胖成年人和在自然界工作的个人)在 ENC 中更为普遍。在我们的多变量分析中,地区和 AA 比例是重要的死亡率预测因素。这是一项横断面研究,研究对象仅限于县一级。关联并不意味着因果关系,风险也不能推断到个人层面。北卡罗来纳州的肉样瘤病死亡率存在地区差异。北卡罗来纳州东部的死亡率最高,有高死亡率集群。
期刊介绍:
NCMJ, the North Carolina Medical Journal, is meant to be read by everyone with an interest in improving the health of North Carolinians. We seek to make the Journal a sounding board for new ideas, new approaches, and new policies that will deliver high quality health care, support healthy choices, and maintain a healthy environment in our state.