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Spatial distribution of unspecified chronic kidney disease in El Salvador by crop area cultivated and ambient temperature

机译:萨尔瓦多未确认的慢性肾脏病的种植面积和环境温度的分布

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INTRODUCTION: Chronic kidney disease of unknown etiology is occurring in various geographic areas worldwide. Cases lack typical risk factors associated with chronic kidney disease, such as diabetes and hypertension. It is epidemic in El Salvador, Central America, where it is diagnosed with increasing frequency in young, otherwise-healthy male farmworkers. Suspected causes include agrochemical use (especially in sugarcane fi elds), physical heat stress, and heavy metal exposure. OBJECTIVE: To evaluate the geographic relationship between unspecifi ed chronic kidney disease (unCKD) and nondiabetic chronic renal failure (ndESRD) hospital admissions in El Salvador with the proximity to cultivated crops and ambient temperatures. METHODS: Data on unCKD and ndESRD were compared with environmental variables, crop area cultivated (indicator of agrochemical use) and high ambient temperatures. Using geographically weighted regression analysis, two model sets were created using reported municipal hospital admission rates per ten thousand population for unCKD 2006- 2010 and rates of ndESRD 2005-2010. These were assessed against local percent of land cultivated by crop (sugarcane, coffee, corn, cotton, sorghum, and beans) and mean maximum ambient temperature, with Moran's indices determining data clustering. Two-dimensional geographic models illustrated parameter spatial distribution. RESULTS: Bivariate geographically weighted regressions showed statistically signifi cant correlations between percent area of sugarcane, corn, cotton, coffee, and bean cultivation, as well as mean maximum ambient temperature with both unCKD and ndESRD hospital admission rates. Percent area of sugarcane cultivation had greatest statistical weight (p
机译:简介:病因不明的慢性肾脏病在全球各地都有发生。病例缺乏与慢性肾脏疾病相关的典型危险因素,例如糖尿病和高血压。它在中美洲萨尔瓦多流行,在那里,年轻,健康的男性农场工人的发病率不断上升。可能的原因包括农药的使用(特别是在甘蔗田),物理热应激和重金属暴露。目的:评估萨尔瓦多未指定的慢性肾脏病(unCKD)与非糖尿病性慢性肾功能衰竭(ndESRD)住院人数之间的地理关系,其与种植作物的接近程度和环境温度有关。方法:将unCKD和ndESRD的数据与环境变量,耕种的作物面积(农药的使用指标)和较高的环境温度进行了比较。使用地理加权回归分析,使用报告的2006-2010年UNCKD每万人口的市立医院入院率和2005-2010年ndESRD率创建了两个模型集。这些数据是根据当地作物种植的土地(蔗糖,咖啡,玉米,棉花,高粱和豆类)的百分比以及平均最高环境温度进行评估的,Moran指数确定了数据聚类。二维地理模型说明了参数空间分布。结果:双变量地理加权回归显示,甘蔗,玉米,棉花,咖啡和豆类的种植面积百分比与未接受CKD和NDESRD入院率的平均最高环境温度之间存在统计学上的显着相关性。甘蔗种植面积百分比具有最大统计权重(p

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