Geographic Representation of the Jackson Heart Study Cohort to the African-American Population in Jackson, Mississippi
Geographic Representation of the Jackson Heart Study Cohort to the African-American Population in Jackson, Mississippi
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DOI：
10.1093/aje/kwq317
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发表时间：
2011-01-01
影响因子：
5
通讯作者：
Sarpong, Daniel F.
中科院分区：
文献类型：
--
作者：
Hickson, DeMarc A.;Waller, Lance A.;Sarpong, Daniel F.
地理信息系统软件和多层次方法的最新进展为流行病学研究中更广泛地描述“危险”人群提供了机会。作者使用来自2000-2004年全非裔美国人杰克逊心脏研究（JHS）的年龄限制和地理编码数据，展示了洛伦兹曲线和基尼系数的新应用，以确定JHS队列在地理环境中对非裔美国人的代表性。作者还使用空间二项模型来评估密西西比州杰克逊大都会统计区参与者招募的地理差异。总体基尼系数，一个范围从0（完全平等）到1（完全不平等）的平等度量，为0.37(95%置信区间（CI）： 0.30, 0.45)，表明中等代表性。抽样女性人群（基尼系数= 0.34,95% CI: 0.30, 0.39）比抽样男性人群（基尼系数= 0.49,95% CI: 0.35, 0.61）更能代表潜在人群。在主要是非裔美国人和混血人口普查区以及研究区域的中心，即离检查诊所最近的区域，观察到JHS参与者的代表性招募。这是至关重要的，因为作者继续探索新的方法来调查疾病病因的地理差异。
Recent advances in geographic information systems software and multilevel methodology provide opportunities for more extensive characterization of "at-risk" populations in epidemiologic studies. The authors used age-restricted, geocoded data from the all-African-American Jackson Heart Study (JHS), 2000-2004, to demonstrate a novel use of the Lorenz curve and Gini coefficient to determine the representativeness of the JHS cohort to the African-American population in a geographic setting. The authors also used a spatial binomial model to assess the geographic variability in participant recruitment across the Jackson, Mississippi, Metropolitan Statistical Area. The overall Gini coefficient, an equality measure that ranges from 0 (perfect equality) to 1 (perfect inequality), was 0.37 (95% confidence interval (CI): 0.30, 0.45), indicating moderate representation. The population of sampled women (Gini coefficient = 0.34, 95% CI: 0.30, 0.39) tended to be more representative of the underlying population than did the population of sampled men (Gini coefficient = 0.49, 95% CI: 0.35, 0.61). Representative recruitment of JHS participants was observed in predominantly African-American and mixed-race census tracts and in the center of the study area, the area nearest the examination clinic. This is of critical importance as the authors continue to explore novel approaches to investigate the geographic variation in disease etiology.