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个体与地理区域社会经济地位衡量指标对行为风险因素监测系统中观察到的健康关联的影响。

Impact of Individual versus Geographic-Area Measures of Socioeconomic Status on Health Associations Observed in the Behavioral Risk Factor Surveillance System.

机构信息

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

AMIA Annu Symp Proc. 2021 Jan 25;2020:707-716. eCollection 2020.

Abstract

Efforts to enhance Electronic Health Record (EHR) data for the study of conditions in which social and economic variables play a prominent role include linking clinical data to sources of external information via patient-specific geocodes. This approach is convenient, but whether geographic-area-level information from secondary sources is adequate as a surrogate of individual-level information is not fully understood. We used Behavioral Risk Factor Surveillance System (BRFSS) epidemiologic data to compare associations of individual income, median aggregate income, and Area Deprivation Index (ADI)-a validated score of U.S. socioeconomic deprivation-with various health outcomes. Median income and ADI assigned according to respondent area of residence were significantly associated with various health outcomes, but with substantially lower effect sizes than those of individual income. Our results show the limited ability of median income and ADI at the level of metropolitan/micropolitan statistical areas versus individual income for use as measures of socioeconomic status.

摘要

为了研究社会经济变量起突出作用的病症,我们致力于增强电子健康记录(EHR)数据,包括通过患者特定的地理位置编码将临床数据与外部信息源联系起来。这种方法很方便,但尚不完全清楚来自二级来源的地理区域信息是否可以作为个体水平信息的替代。我们使用行为风险因素监测系统(BRFSS)的流行病学数据,比较个人收入、中位数总收益和区域剥夺指数(ADI)——一个经验证的美国社会经济剥夺评分——与各种健康结果之间的关联。根据受访者居住区域分配的中位数收入和 ADI 与各种健康结果显著相关,但与个体收入相比,其效应大小要低得多。我们的研究结果表明,在大都市/大都市统计区层面上,中位数收入和 ADI 作为社会经济地位衡量标准的能力有限,而个体收入则不然。

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