Individual Housing Data and Socioeconomic Status

个人住房数据和社会经济状况

• 批准号: 7229827
• 负责人: YOUNG J JUHN
• 金额: $ 14.45万
• 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 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7229827
• 关键词: Address; Applied Research; Area; Asthma; Censuses; Characteristics; Child; Cities; Classification; Code; Collection; Compatible; Confusion; County; Cross-Sectional Studies; Data; Data Element; Data Set; Data Sources; Ecological Bias; Effectiveness of Interventions; Elements; Environment; Epidemiologic Studies; Epidemiology; Equation; Family; Future; Goals; Health; Health Services; Health Services Accessibility; Health Services Research; Health Status; Household; Housing; Individual; Intervention Studies; Lead; Link; Literature; Measurement; Measures; Medical Records; Medicine; Minnesota; Missouri; Modeling; Neighborhoods; Occupational; Outcome; Parents; Patients; Persons; Pilot Projects; Platelet Factor 4; Positioning Attribute; Prevalence; Property; Qualifying; Records; Refit; Reliance; Reporting; Research; Research Design; Research Personnel; Sampling; Score; Site; Social Class; Social status; Societies; Socioeconomic Status; Source; Surveys; Taxes; Technology; Telephone Interviews; Time; United States Centers for Medicare and Medicaid Services; Validation; Vital Statistics; Work; base; clinical epidemiology; disease registry; experience; improved; indexing; novel; programs; size; social; socioeconomics; statistics; transmission process

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一个重要结构。研究表明，社会经济地位的措施与健康结果和获得医疗保健服务密切相关。社会经济地位也是一个重要的协变量，必须“控制”时，干预措施的影响进行了研究。尽管社会经济地位的措施的重要性得到了公认，但在用于卫生服务研究的数据集中，如医疗记录、疾病登记和生命统计，社会经济数据往往不可用。然而，医疗记录或行政数据通常确实包含患者的地址。地址信息可能允许研究人员将患者数据与真实的财产税评估记录中列举的住房特征联系起来。如果这种联系可以实现，研究人员就可以为所有或大多数患者构建一个基于住房的SES测量方法。研究人员也将有新的机会使用以前收集的行政数据集，医疗记录或疾病登记用于基础和应用研究。拟议研究的主要目标是探索一种独特的方法途径，用于产生一种衡量基于住房的社会经济地位（HSES）的方法，该方法来自个人住房数据，并将克服经常使用的数据源中缺乏社会经济数据的问题。我们的4个具体研究目标是：具体目标1：开发一个社会经济指标的个人从一个复合的特征（任期，类型和大小等）。个人住房数据（即，HSES），并确定该综合指标（即，当“邻里”社会经济地位（NSES）被纳入指标时，HSES（社区社会经济地位）得到改善。目的1是本研究的主要目的。具体目标二：通过将HSES上的人员分类与Hollingshead 4-Factor Index of Social Status和Nakao-Treas Occupational Prestige Scores（2种广泛使用的社会地位测量方法）上这些人员的社会经济分类进行比较，确定HSES的标准有效性。具体目标3：通过评估HSES、哮喘患病率和父母及儿童（1-18岁）总体健康状况之间的统计学关联，评估HSES的结构效度。具体目标4：通过对密苏里州杰克逊县儿童和父母样本的重新调整，确定使用明尼苏达州奥姆斯特德县数据构建的HSES的外部效度。与奥姆斯特德县相比，后者是一个更加种族和种族多样化的环境。我们已将杰克逊县文件中的数据元素与奥姆斯特德县文件中的数据元素进行了核对，这两个数据元素在本研究中使用的所有元素上均兼容。为了实现拟议的研究目标，我们将进行一项双站点横截面研究，开发和验证从住房特征（即，明尼苏达州奥姆斯特德县和密苏里州杰克逊县儿童父母的HSES）和社区社会经济地位（NSES）。将对1 400名1-18岁儿童的父母进行电话采访，以获得更多数据。

项目成果

A two-county comparison of the HOUSES index on predicting self-rated health.

在预测自我评价健康方面的房屋指数的两县比较。

• DOI: 10.1136/jech.2008.084723
• 发表时间: 2011-03
• 期刊: Journal of epidemiology and community health
• 影响因子: 6.3
• 作者: Butterfield MC;Williams AR;Beebe T;Finnie D;Liu H;Liesinger J;Sloan J;Wheeler PH;Yawn B;Juhn YJ
• 通讯作者: Juhn YJ

Comparison of individual-level versus area-level socioeconomic measures in assessing health outcomes of children in Olmsted County, Minnesota.

在评估明尼苏达州奥尔姆斯特德县儿童的健康状况方面的个人水平与地区级别的社会经济措施的比较。

• DOI: 10.1136/jech-2012-201742
• 发表时间: 2013-04
• 期刊: Journal of epidemiology and community health
• 影响因子: 6.3
• 作者: Pardo-Crespo MR;Narla NP;Williams AR;Beebe TJ;Sloan J;Yawn BP;Wheeler PH;Juhn YJ
• 通讯作者: Juhn YJ

Application of a novel socioeconomic measure using individual housing data in asthma research: an exploratory study.

• DOI: 10.1038/npjpcrm.2014.18
• 发表时间: 2014-06-26
• 期刊: NPJ PRIMARY CARE RESPIRATORY MEDICINE
• 影响因子: 3.1
• 作者: Harris, Malinda N.;Lundien, Matthew C.;Finnie, Dawn M.;Williams, Arthur R.;Beebe, Timothy J.;Sloan, Jeffrey A.;Yawn, Barbara P.;Juhn, Young J.
• 通讯作者: Juhn, Young J.