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应用景观生态学方法控制暴露和易感性的差异错分,对球孢子菌病的风险因素进行研究。

A risk factor study of coccidioidomycosis by controlling differential misclassifications of exposure and susceptibility using a landscape ecology approach.

机构信息

Office of Arid Lands Studies, College of Agriculture and Life Sciences, The University of Arizona, Tucson, Arizona, 85721, USA.

出版信息

Sci Total Environ. 2010 Apr 15;408(10):2199-207. doi: 10.1016/j.scitotenv.2010.02.013. Epub 2010 Feb 26.

DOI:10.1016/j.scitotenv.2010.02.013
PMID:20188397
Abstract

State-reported coccidioidomycosis cases in Arizona have dramatically increased since 1997, raising concerns about a possible epidemic, its cause, and associated risk factors, including spatio-temporal differences in susceptibility and exposure. This stratified, two-stage, cross-sectional study evaluates inherent, socio-economic, and environmental risk factors of coccidioidomycosis from information collected during an address-based telephone survey of 5460 households containing 14,105 individuals in greater Tucson, Arizona. Three geomorphic and two demographic strata controlled for differences in group-level exposures and susceptibility, and assured recruitment of a minority population. Logistic regression of self-reported cases indicates that location of residence by geomorphic and demographic strata was a risk factor that confounded the associations of coccidioidomycosis with age, race-ethnicity, and educational attainment. The risk due to age is more evenly distributed across the population than bivariate results when individual- and group-level exposure and susceptibility factors are controlled. Similarly the association for being Hispanic decreased from strong bivariate 0.28 odds ratio to a weak multivariate 0.75. Location of residence confounded the risk due to race-ethnicity and was an effect modifier of risk due to age. Differential misclassification of exposure to Coccidioides spores and susceptibility to coccidioidomycosis was reduced through landscape stratification by demographics and geomorphic types. Landscape epidemiological studies of diseases with strong environmental and demographic determinants can reduce residual confounding and account for spatial and temporal differences between neighborhoods and at broader scales.

摘要

自 1997 年以来,亚利桑那州报告的球孢子菌病病例显著增加,这引发了人们对可能出现的疫情、其病因以及相关风险因素的担忧,包括易感性和暴露的时空差异。这项分层、两阶段、横断面研究评估了来自亚利桑那州图森大都市区 5460 户家庭(包含 14105 人)的基于地址的电话调查中收集的固有、社会经济和环境风险因素。三种地貌和两种人口统计学分层控制了群体水平暴露和易感性的差异,并确保了少数人群的招募。对自我报告病例的逻辑回归表明,居住地点的地貌和人口统计学分层是一个风险因素,混淆了球孢子菌病与年龄、种族和教育程度的关联。与单变量结果相比,由于年龄导致的风险在人群中的分布更加均匀,因为个体和群体水平的暴露和易感性因素得到了控制。同样,西班牙裔的相关性也从强的双变量 0.28 比值比降低到弱的多变量 0.75。居住地点混淆了种族和民族的风险,并且是年龄风险的效应修饰剂。通过人口统计学和地貌类型的景观分层,可以减少对球孢子菌孢子暴露和球孢子菌病易感性的差异分类错误。具有强烈环境和人口统计学决定因素的疾病的景观流行病学研究可以减少残留混杂,并解释邻里之间以及更广泛范围内的时空差异。

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