Health Measures and Health Inequality Over the Life Course

生命全程的健康措施和健康不平等

• 批准号: 417850614
• 负责人: Professorin Dr. Henriette Engelhardt-Wölfler
• 金额: --
• 依托单位: Professur für Demografie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/417850614?language=en
• 关键词: Health; Measures; Inequality; Over; Life

The cumulative advantage/disadvantage (CAD) hypothesis predicts educational differences in health to increase with age. All previous tests of this hypothesis were based on self-reported health measures. Recent research has suggested that self-reported health measures may not adequately capture differences in key analytical constructs, including education, age, cohort, gender, and country context. This raises doubts about the robustness of previous findings on educational differences in physical health trajectories, as measured by respondents’ self-assessments. The overarching goal of this project is to address this issue by exploring the role of self-reported and objective health measures in research on health inequality over the life course. To reach this goal, the project will proceed in three steps. First, the project will uncover the extent to which conclusions about the CAD hypothesis are affected by the choice of health measures. Specifically, the project will evaluate the CAD hypothesis by comparing self-reported (e.g. self-rated health, self-reported functional limitations) and objective measures (e.g. grip strength, lung capacity) of health.Second, the project will examine whether and to what extent the validity and reliability of health measures are socially stratified. Specifically, the proposed research will compare (a) how strongly objective and self-reported measures of health are related to common health risks and mortality, and (b) how these relationships differ by education, age, gender, cohort, and national context.Third, the project aims to develop novel generic measures of self-reported and objective physical health. Specifically, the project will use latent variable modelling to construct an objective measure of health on the basis of information on more than 10 observer-measured health outcomes, evaluate this measure in terms of intergroup validity, and compare it with self-reported and mixed generic measures of health. Finally, the project will provide evidence on the CAD hypothesis using this novel health measure.The project will use longitudinal data from SOEP, ELSA and SHARE, providing evidence not only for the German and British context, but also for 16 European countries in direct international comparison.

累积优势/劣势（CAD）假说预测教育差异的健康随着年龄的增长。之前对这一假设的所有测试都是基于自我报告的健康指标。最近的研究表明，自我报告的健康措施可能无法充分反映关键分析结构的差异，包括教育，年龄，队列，性别和国家背景。这使人怀疑以前关于身体健康轨迹的教育差异的研究结果的可靠性，正如受访者的自我评估所衡量的那样。该项目的总体目标是通过探讨自我报告和客观健康措施在研究生命过程中健康不平等方面的作用来解决这一问题。为了实现这一目标，该项目将分三步进行。首先，该项目将揭示CAD假设的结论在多大程度上受到健康指标选择的影响。具体而言，该项目将通过比较自我报告（例如自我评估的健康状况，自我报告的功能限制）和客观的健康措施（例如握力，肺活量）来评估CAD假设。第二，该项目将研究健康措施的有效性和可靠性是否以及在多大程度上是社会分层的。具体来说，拟议的研究将比较（a）如何强烈的客观和自我报告的健康措施是相关的常见的健康风险和死亡率，以及（B）如何这些关系的不同教育，年龄，性别，队列，和国家context.Third，该项目旨在开发新的通用措施自我报告和客观的身体健康。具体而言，该项目将利用潜在变量模型，根据10多项相互衡量的健康结果的信息，构建一个客观的健康衡量标准，从群体间有效性的角度评价这一衡量标准，并将其与自我报告的和混合的一般健康衡量标准进行比较。最后，该项目将使用这种新的健康测量方法为CAD假设提供证据。该项目将使用SOEP、艾尔莎和SHARE的纵向数据，不仅为德国和英国的背景提供证据，而且还为16个欧洲国家提供直接国际比较的证据。