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的重要组成部分。研究表明，SES 指标与健康结果和获得医疗保健服务密切相关。 SES 也是一个重要的协变量，在研究干预措施的效果时必须对其进行“控制”。尽管社会经济地位衡量指标的重要性已得到公认，但用于卫生服务研究的数据集中通常无法获得社会经济数据，例如医疗记录、疾病登记和人口动态统计。然而，医疗记录或管理数据通常包含患者的地址。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。如果可以建立这样的联系，研究人员也许能够为所有或大多数患者构建基于住房的社会经济地位衡量标准。研究人员也将有机会使用以前收集的管理数据集、医疗记录或疾病登记进行基础和应用研究。拟议研究的主要目标是探索一种独特的方法途径，用于产生基于住房的社会经济地位（HSES）的衡量标准，该衡量标准源自个人住房数据，并将克服常用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：根据个人住房数据（即 HSES）的综合特征（保有权、类型和规模等）得出个人的社会经济指标，并确定是否当“社区”社会经济地位（NSES）纳入该指标时，该综合指标（即HSES）会得到改善。目标 1 是本研究的主要目标。具体目标 2：通过将 HSES 人员的分类与这些人员在 Hollingshead 社会地位 4 因素指数和 Nakao-Treas 职业声望评分（2 个广泛使用的衡量指标）的社会经济分类进行比较，确定 HSES 的标准有效性。社会地位。具体目标 3：通过评估 HSES、哮喘患病率以及父母和儿童（1-18 岁）一般健康状况之间的统计关联来评估 HSES 的构建有效性。具体目标 4：通过对密苏里州杰克逊县儿童和家长样本重新拟合指数，确定使用明尼苏达州奥姆斯特德县数据构建的 HSES 的外部有效性。后者的民族和种族环境比奥姆斯特德县更加多元化。我们已将杰克逊县档案中的数据元素与奥姆斯特德县的数据元素进行了检查，两者在本研究中使用的所有元素上都是兼容的。为了实现拟议的研究目标，我们将进行一项双地点横断面研究，为明尼苏达州奥姆斯特德县的儿童父母制定并验证根据住房特征（即 HSES）和社区社会经济地位（NSES）得出的社会经济指标和密苏里州杰克逊县。将对 1,400 名 1-18 岁儿童的家长进行电话采访，以获得更多数据。

项目成果

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

预测自评健康的 HOUSES 指数的两县比较。

• 发表时间: 2011-03
• 影响因子: 6.3
• 作者: Butterfield, Michael C;Williams, Arthur R;Beebe, Tim;Finnie, Dawn;Liu, Heshan;Liesinger, Juliette;Sloan, Jeff;Wheeler, Philip H;Yawn, Barbara;Juhn, Young J
• 通讯作者: Juhn, Young J

Development and initial testing of a new socioeconomic status measure based on housing data.

基于住房数据的新社会经济地位衡量标准的开发和初步测试。

• 发表时间: 2011-10
• 作者: Juhn, Young J;Beebe, Timothy J;Finnie, Dawn M;Sloan, Jeff;Wheeler, Philip H;Yawn, Barbara;Williams, Arthur R
• 通讯作者: Williams, Arthur R

Concordance between Individual vs. Area-Level Socioeconomic Measures in an Urban Setting.

城市环境中个人与地区层面社会经济措施之间的一致性。

• 发表时间: 2015-11
• 影响因子: 1.4
• 作者: Narla, Nirmala P;Pardo;Beebe, Timothy J;Sloan, Jeff;Yawn, Barbara;Williams, Arthur R;Juhn, Young J
• 通讯作者: Juhn, Young J

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

使用个人住房数据的新型社会经济措施在哮喘研究中的应用：一项探索性研究。

• 发表时间: 2014
• 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

Housing data-based socioeconomic index and risk of invasive pneumococcal disease: an exploratory study.

基于住房数据的社会经济指数和侵袭性肺炎球菌疾病的风险：一项探索性研究。

• 发表时间: 2013-04
• 影响因子: 4.2
• 作者: Johnson, M D;Urm, S H;Jung, J A;Yun, H D;Munitz, G E;Tsigrelis, C;Baddour, L M;Juhn, Y J
• 通讯作者: Juhn, Y J