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.

拟议的研究将使用八项对成年人的横断面调查的数据，并结合调查对象居住地的信息进行死亡率跟踪，以评估移民和同族聚居对外国出生的人的经验确定的死亡率和发病率优势的影响。更具体地说，这项研究将探讨居住在一个居住飞地的问题，该飞地被定义为一组连续的人口普查区块--从统计上确定了具有语言限制的特定族裔群体的最近移民的密度，是否会影响移民的发病率和死亡率前景。次要的研究问题是，社区的经济条件和城市层面的收入不平等和居住隔离是否会减弱或消除生活在这样一个飞地上的任何有利影响。来自三个独立来源的数据将分三步进行这些分析。有关健康风险行为、人口特征和健康结果的个人数据来自1987-1994年全国健康访谈调查(NHIS)的成年受访者，NHIS是对美国非机构人口进行的具有全国代表性的年度横断面调查。这些数据还将与相同八年期间的国家健康访谈调查--多死因调查(NHIS-MCD)文件相关联，其中包含NHIS调查受访者的死亡证明信息，以提供分析中死亡部分的数据。这些匹配的记录然后通过地理编码链接到STF3-A数据，该数据来自1990年在街区组、人口普查区域和大都市统计区域的人口普查。这些数据将被用来描述调查受访者的居住环境。人口普查局有关大都会统计地区居住隔离和收入不平等的其他表格数据将用于补充人口普查STF3-A提供的数据。分析将包括三个步骤。首先，将开发空间模型，根据区块组级别的现有信息确定移民居住飞地。第二，将为移民开发个人死亡率和发病率模型，以建立个人层面的路径，以区分移民人口的健康状况。这些模型将指定有和没有选定的健康行为，以评估健康行为对健康结果的干预作用。最后，这些个人将被安置在他们的居住环境中，居住在居住飞地的直接影响以及邻里和城市一级的经济和居住隔离条件的修改效果将使用适当的多层次技术进行评估。