Individual Housing Data and Socioeconomic Status

个人住房数据和社会经济状况

• 批准号: 7015211
• 负责人: YOUNG J JUHN
• 金额: $ 18.23万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-07 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7015211
• 关键词: asthma; behavioral /social science research tag; classification; clinical research; community; computer data analysis; data collection methodology /evaluation; health science research analysis /evaluation; health surveys; housing; human subject; income; interview; occupations; social class; social status; socioeconomics; statistics /biometry

DESCRIPTION (provided by applicant): Social class, position, or socioeconomic status (SES) is an important construct in social and clinical epidemiology. Research has demonstrated that measures of SES are strongly associated with health outcomes and access to health care services. SES also is an important covariate that must be "controlled" when the effects of interventions are studied. Despite the recognized importance of measures of SES, socioeconomic data are often unavailable in data sets used for health services research, such as medical records, disease registries, and vital statistics. Medical records or administrative data, however, do routinely contain addresses of patients. Address information might allow researchers to link patient data to housing characteristics enumerated within real property tax assessment records. If such a linkage can be done, researchers might be able to construct a housing-based measure of SES for all or most patients. New opportunities for investigators to use previously collected administrative data sets, medical records, or disease registries for basic and applied research also would be opened. The major goal of the proposed study is to explore a unique methodological avenue for producing a measure of housing-based socioeconomic status (HSES) that is derived from individual housing data and that would overcome the absence of socioeconomic data in frequently used data sources. Our 4 specific study aims are: Specific Aim 1: To develop a socioeconomic indicator for individuals derived from a composite of characteristics (tenure, type, and size, etc.) of individual housing data (i.e., HSES), and, to determine whether this composite indicator (i.e., HSES) is improved when "neighborhood" socioeconomic status (NSES) is incorporated into the indicator. Aim 1 is the primary aim of the study. Specific Aim 2: To determine the criterion validity of the HSES by comparing the classification of persons on the HSES with socioeconomic classifications of these persons on the Hollingshead 4-Factor Index of Social Status and Nakao-Treas Occupational Prestige Scores, 2 widely used measures of social position. Specific Aim 3: To assess the construct validity of the HSES by evaluating statistical associations between the HSES, asthma prevalence, and general health status of parents and children (1-18 years). Specific Aim 4: To determine the external validity of the HSES constructed with Olmsted County, Minnesota, data by refitting the index on a sample of children and parents in Jackson County, Missouri. The latter is a more ethnically and racially diverse environment than Olmsted County. We have checked the data elements in the Jackson County files against those in Olmsted County, and the 2 are compatible on all elements to be used in this study. To accomplish the proposed study aims, we will perform a dual-site cross-sectional study that develops and validates the socioeconomic indicators derived from housing characteristics (i.e., HSES) and neighborhood socioeconomic status (NSES) for parents of children in Olmsted County, Minnesota, and Jackson County, Missouri. Telephone interviews will be completed with 1,400 parents of children 1-18 years to obtain additional data.

描述（由申请人提供）：社会阶层，职位或社会经济地位（SES）是社会和临床流行病学中的重要结构。研究表明，SES的措施与健康成果和获得医疗服务的机会密切相关。 SES也是研究干预措施的效果时必须“控制”的重要协变量。尽管SES的措施具有公认的重要性，但在用于卫生服务研究的数据集（例如医疗记录，疾病注册表和重要统计数据）中，社会经济数据通常不可用。但是，医疗记录或行政数据通常包含患者的地址。地址信息可能会使研究人员可以将患者数据与房地产税评估记录中列举的住房特征联系起来。如果可以建立这种联系，研究人员可能能够为所有或大多数患者构建基于住房的SES测量。调查人员还将开放新的机会，可以使用先前收集的行政数据集，病历或疾病注册表进行基础和应用研究。拟议的研究的主要目标是探索一种独特的方法论途径，以产生基于住房的社会经济地位（HSE），该量度源自单个住房数据，并克服经常使用的数据来源中缺乏社会经济数据。我们的4个具体研究目的是：具体目的1：为个人住房数据（即HSES）（即HSES）的特征（任期，类型和大小等）衍生而成的个人制定社会经济指标，并确定此复合指标（即HSES）是否在“邻里”“邻里”社会经济状况（nses（nse​​s）状态（nses）中是否有所改善。 AIM 1是研究的主要目的。具体目的2：通过将HSE上的人的分类与这些人的社会经济分类进行比较，在Hollingshead 4因子社会地位和Nakao-Tressational Prestige Socors上的社会经济分类，确定HSE的标准有效性，2大广泛使用了社会地位。特定目的3：通过评估HSE，哮喘患病率和父母和子女的一般健康状况（1-18岁）之间的统计关联来评估HSE的结构有效性。特定目标4：确定明尼苏达州奥尔姆斯特县建造的HSE的外部有效性，通过在密苏里州杰克逊县的儿童和父母样本中改写指数。与奥尔姆斯特德县相比，后者在种族和种族上更多样化。我们已经检查了杰克逊县档案中的数据元素针对奥尔姆斯特德县的档案，而这2件在本研究中要使用的所有元素兼容。为了实现拟议的研究目的，我们将执行一项双站点横断面研究，该研究开发并验证了来自住房特征（即HSES）和邻里社会经济状况（NSE）的社会经济指标（即，对于奥尔姆斯特德县，明尼苏达州和密苏里州杰克逊县的儿童的父母）。电话访谈将与1,400名儿童1-18岁的父母完成，以获取其他数据。