Biological Risk in Taiwan, Indonesia, Mexico, England and U.S.

描述（由申请人提供）：该项目的目的是检查具有不同流行病学、经济、行为和文化条件的一系列国家中生物标志物的年龄特异性变化和生理失调的年龄特异性发作。我们还将把人口统计学、社会和行为因素与包括美国在内的各国的风险发生联系起来，英国、台湾、墨西哥和印度尼西亚。本项目使用的数据包括下列具有国家代表性的样本，这些样本已酌情统一，以进行跨国比较：2006年和2010年的健康与退休研究（HRS），2004年和2008年的英国老龄化纵向研究（艾尔莎），2000年和2006年的老龄化社会环境和生物标志物研究（SEBAS），2002年、2006年和2009年墨西哥家庭生活调查，以及2000年和2007- 2008年印度尼西亚家庭生活调查。最近在世界许多地区收集的多波生物标志物数据提供了一个无与伦比的机会，可以在具有不同健康史、健康行为以及社会、文化和卫生系统特征的国家，在国家一级系统和全面地研究特定年龄生理变化的发生，以及各种健康结果的风险发生率。 公共卫生相关性：在流行病学、经济、行为和文化条件各不相同的一系列国家中，了解生物标志物的年龄特异性变化以及生理失调的患病率和年龄特异性发病率非常重要。跨国比较的结果不仅有助于更好地了解各国之间的健康差异，还有助于了解不同情况下的生物老化过程。此外，澄清人口统计学，社会和行为因素与生物风险之间的差异联系将更好地了解如何改善不同人群的生理状况。

DESCRIPTION (provided by applicant): The aim of this project is to examine age-specific changes in biomarkers and age-specific onset of physiological dysregulation across a range of countries with varying epidemiological, economic, behavioral and cultural conditions. We will also link demographic, social, and behavioral factors to the onset of risk across countries including the U.S., England, Taiwan, Mexico, and Indonesia. The data used in this project include the following nationally representative samples that have been harmonized as appropriate for cross-country comparisons: the Health and Retirement Study (HRS) for 2006 and 2010, the English Longitudinal Study of Ageing (ELSA) for 2004 and 2008, the Social Environment and Biomarkers of Aging Study (SEBAS) for 2000 and 2006, the Mexican Family Life Survey (MxFLS) for 2002, 2006, and 2009, and the Indonesia Family Life Survey (IFLS) for 2000 and 2007-8. Recent collection of multiple waves of biomarker data in many areas of the world provides an unparalleled opportunity to systematically and comprehensively study age-specific onset of physiological change, as well as prevalence of risk for a variety of health outcomes, at the national level in countries with varying health histories, health behaviors, and social, cultural and health system characteristics. PUBLIC HEALTH RELEVANCE: It is important to understand age-specific changes in biomarkers and prevalence and age-specific onset of physiological dysregulation across a range of countries with varying epidemiological, economic, behavioral and cultural conditions. Findings from cross-country comparisons will not only provide better understanding of health differences across countries, they will also contribute to understanding the process of biological aging in different circumstances. In addition, clarifying differential links between demographic, social, and behavioral factors with the biological risk will provide better understanding on how to improve physiological status in different populations.