RESIDENTIAL ENCLAVES AND THE HEALTH OF IMMIGRANTS

住宅区和移民的健康

• 批准号: 6091383
• 负责人: Felicia B. LeClere
• 金额: $ 6.81万
• 依托单位: UNIVERSITY OF NOTRE DAME
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-04-01 至 2002-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6091383
• 关键词: ethnic group; health behavior; health science research; health services research tag; health surveys; housing; human data; human morbidity; human mortality; human population study; immigrant; residential mobility; socioeconomics

The proposed research will use data from eight cross-sectional surveys of adults with mortality follow-up linked to information about the place of residence of the survey respondent to assess the impact of the residential clustering of immigrants and co-ethnics on the empirically identified mortality and morbidity advantage of the foreign born. More specifically, this research will address the issue of whether living in a residential enclave, which is defined as a contiguous set of Census block-groups with statistically identified densities of recent immigrants of particular ethnic groups with language constraints, affects the morbidity and mortality prospects of immigrants. The secondary research questions are whether the neighborhood economic conditions and city level income inequality and residential segregation attenuate or eliminate any favorable effects of living in such an enclave. Data from three independent sources will be used to conduct these analyses in three steps. Individual data on health risk behavior, demographic characteristics, and health outcomes comes from adult respondents to the 1987-1994 National Health Interview Survey (NHIS), an annual nationally representative cross-sectional survey of the non-institutional population of the United States. These data will also be linked to the National Health Interview Survey-Multiple Cause of Death (NHIS-MCD) files for the same eight year period, which contains death certificate information for survey respondents from the NHIS to provide data for the mortality portion of the analysis. These matched records are then linked via geocodes to the STF3-A data from the 1990 Census of Population at the block-group, census tract, and Metropolitan Statistical Area. This data will be used to characterize the residential environment of the survey respondents. Additional tabulated data from the Census Bureau on residential segregation and income inequality in Metropolitan Statistical Areas will be used to augment the data available from the Census STF3-A. The analysis will consist of three steps. First, spatial models will be developed to identity immigrant residential enclaves from the available information at the block-group level. Second, individual mortality and morbidity models will be developed for immigrants to establish the individual level pathways to differential health among immigrant populations. These models will be specified with and without selected health behaviors to assess the intervening role of health behaviors in health outcomes. Finally, the individuals will be placed in their residential contexts and the direct effects of living in a residential enclave and the modifying effects of the neighborhood and city-level economic and residential segregation conditions will be assessed using appropriate multilevel techniques.

拟议的研究将使用与有关调查受访者居住地的信息有关的八个成年人的横断面调查的数据，以评估移民和同事对经验确定的死亡率和外国生长的疾病优势的居住聚类的影响。更具体地说，这项研究将解决以下问题：生活在住宅飞地中是否定义为一组连续的人口普查区块组，该集团具有统计确定的具有语言限制的特定族裔群体最近移民的密度，会影响移民的发病率和死亡率。 二级研究问题是邻里经济状况和城市一级的收入不平等和住宅隔离是否会减弱或消除这种飞地生活的任何有利影响。来自三个独立来源的数据将用于三个步骤进行这些分析。 关于健康风险行为，人口特征和健康成果的个人数据来自1987 - 1994年国家健康访谈调查（NHIS）的成年受访者，这是对美国非机构人口的年度代表性横断面调查。这些数据还将与同一八年期间的国家健康访谈调查 - 元素造成死亡原因（NHIS-MCD）档案有关，其中包含来自NHI的调查受访者的死亡证书信息，以提供分析的死亡率部分的数据。然后，这些匹配的记录通过地理编码与1990年人口普查，人口普查区和大都市统计领域的人口普查的STF3-A数据链接。该数据将用于表征调查受访者的住宅环境。人口普查局的其他列表数据将使用大都会统计领域的住宅隔离和收入不平等，以增强人口普查STF3-A可用的数据。分析将包括三个步骤。首先，将从区块组级别的可用信息中开发出空间模型到身份移民住宅飞地。其次，将开发个人死亡率和发病率模型，以建立移民人口中差异健康的个人水平途径。这些模型将在有或没有选定的健康行为的情况下指定，以评估健康行为在健康结果中的中间作用。 最后，这些人将被置于其住宅环境中，并将生活在住宅飞地中的直接影响以及邻里和城市级别的经济和住宅隔离条件的修改效果将使用适当的多层次技术进行评估。