Decomposing Racial/Ethnic Disparities in Health

消除健康方面的种族/民族差异

• 批准号: 7684447
• 负责人: Kajal Lahiri
• 金额: $ 21.13万
• 依托单位: STATE UNIVERSITY OF NEW YORK AT ALBANY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-04 至 2013-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7684447
• 关键词: Adult; Affect; African American; Alaska Native; Asian Americans; Asthma; Behavioral Risk Factor Surveillance System; Categories; Cessation of life; Characteristics; Chronic Disease; Cities; Communities; Data; Diabetes Mellitus; Discrimination; Education; Ethnic group; Goals; Health; Health Status; Heart Diseases; Income; Individual; Inequality; Intervention; Latino; Longevity; Malignant Neoplasms; Measurable; Measures; Minority Groups; Nature; Non-linear Models; Obesity; Policies; Population; Process; Public Health; Public Policy; Risk Factors; Role; Rural; Stroke; Subgroup; Time; United States; Universities; Urban Health; Vulnerable Populations; Work; base; design; disability; disorder risk; experience; health disparity; health inequalities; improved; indexing; minority health; premature; racial and ethnic; racial and ethnic disparities; rural area; socioeconomics; trend

The overarching goal of the proposed study is to examine the nature and determinants of health disparities not only between but also within racial/ethnic groups (non-Latino whites, Latinos, African-Americans, Asians, American Indians/Alaskan Natives) in the US. We focus on community size (e.g., urban vs. rural) as a potential determinant of disparities. Data for the study will come from the 1994-2008 waves of the national Behavioral Risk Factor Surveillance System (BRFSS). To measure health using the BRFSS, we propose to construct indices of individual quality of health. These indices will be based on a 5-category self-assessed health status measure and other binary ill-health indicators (e.g., diabetes, obesity, asthma etc.), supplemented by several objective determinants of overall health including different diseases/risk factors and socio-demographic characteristics. The first goal of the study is to estimate and compare quality of health by racial/ethnic group, by state, and by community size. Our second goal is to estimate three types of health inequality¿total health inequality, income related health inequality, and racial/ethnic inequality in healthusing the Gini coefficient, concentration index, and disparity index, respectively. We also will examine these comparisons by year, to determine whether racial/ethnic and urban/rural differences in quality of health are worsening or improving over time. Finally, our third aim is to decompose both total and income related health inequalities into socio-demographic and community-level factors using Oaxaca-Blinder type decompositions for non-linear models. This approach will be used to quantify the separate contributions of group differences in measurable characteristics such as education, income, work status and disability on health disparity (which we call indirect discrimination), and also due to the difference in the health generating processes of different groups (which we call direct discrimination).

拟议的研究的总体目标是检查健康分布的性质和决定 不仅在种族/族裔群体之间（非拉丁裔白人，拉丁美洲人，非裔美国人，亚洲人， 美国印第安人/阿拉斯加原住民）在美国。我们专注于社区规模（例如，城市与农村） 可能的决定因素。该研究的数据将来自1994 - 2008年国家的浪潮 行为风险因素监视系统（BRFSS）。要使用BRFS衡量健康，我们建议 构建个人健康质量的指标。这些指数将基于一个自我评估的5类 健康状况测量和其他二进制不良健康指标（例如糖尿病，肥胖，哮喘等）， 补充了几个客观的总体健康决定者，包括不同的疾病/风险因素和 社会人口统计学特征。该研究的第一个目标是通过 种族/种族群体，按州和社区规模按社区规模。我们的第二个目标是估计三种健康的健康 不平等�总体健康不平等，与收入相关的健康不平等和种族/种族不平等 Gini会员，浓度指数和差异指数。我们还将检查这些 按年进行比较，以确定种族/种族和城市/农村健康质量差异是否是 随着时间的流逝而恶化或改善。最后，我们的第三个目标是分解总和相关的收入 使用瓦哈卡雪橇类型，健康的不平等现象是社会人口统计学和社区级别的因素 非线性模型的分解。这种方法将用于量化 在教育，收入，工作状况和残疾等可衡量特征上的群体差异 健康差异（我们称为间接歧视），也是由于健康产生的差异 不同组的过程（我们称为直接歧视）。