Tools for Measuring and Analyzing Cortisol Levels in Population Studies of Health

人口健康研究中测量和分析皮质醇水平的工具

• 批准号: 7501263
• 负责人: ANA V DIEZ-ROUX
• 金额: $ 29.43万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-26 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7501263
• 关键词: Address; Age; Asthma; Biological; Biological Factors; Biological Markers; Biological Process; Biology; Birth; Cardiovascular Diseases; Characteristics; Communities; Complex; Condition; Daily; Data; Data Analyses; Data Collection; Data Set; Demography; Development; Disease; Disease Outcome; Disease regression; Drug Kinetics; Epidemiology; Ethnic Origin; Etiology; Exposure to; Future; Goals; Health; Human; Hydrocortisone; Individual; Intervention; Link; Low Birth Weight Infant; Measurement; Measures; Medicine; Methods; Modeling; Nature; Neighborhoods; Non-linear Models; Numbers; Outcome; Population; Population Study; Positioning Attribute; Process; Property; Protocols documentation; Psychosocial Factor; Psychosocial Stress; Purpose; Race; Range; Recommendation; Reporting; Research; Research Personnel; Research Subjects; Role; Salivary; Sampling; Series; Sociology; Statistical Methods; Stress; Time; Variant; Work; base; biological adaptation to stress; day; health disparity; improved; infancy; interdisciplinary approach; psychosocial; rapid growth; response; sex; social; socioeconomics; statistics; stressor; tool

DESCRIPTION (provided by applicant): Disparities in health by socioeconomic position and race/ethnicity have been documented for numerous health outcomes. Developing a more comprehensive understanding of the reasons for health disparities that integrates factors defined at multiple levels (e.g. from community-level or neighborhood processes to biological factors) and that explicates common or interrelated processes that generate disparities in multiple health conditions remains a major challenge. This is important not only to understand the etiology of multiple diseases, but also to develop strategies to eliminate health disparities. One process that has been hypothesized to contribute to disparities in multiple health domains is psychosocial stress. It has been argued that exposure to psychosocial stressors repeatedly over long periods has biological consequences with implications for multiple health conditions, including outcomes as diverse as low birth weight, asthma, and cardiovascular disease. Two major challenges in studying the role of psychosocial stress include the (1) measurement and characterization of biological markers of the stress response (2) examining how this complex biological response varies as a function of higher-level (or upstream) determinants such as socioeconomic position and community characteristics. We propose to address both challenges through the development of methodological tools necessary to characterize and analyze biomarkers of the stress response (specifically cortisol profiles) in population-based studies. The overall goal of our project is to improve the methodological tools and data collection protocols necessary to understand how upstream determinants (such as neighborhood-level factors) trigger biological processes (specifically the stress response) that may generate disparities in multiple disease outcomes in the population. We will use a unique multilevel dataset to investigate the use of different methodological approaches in order to make specific recommendations regarding (a) data collection protocols for salivary cortisol data (specifically regarding number and timing of samples) and (b) data analyses involving cortisol profiles as outcomes or predictors The specific aims of our project are: (1) To investigate and contrast statistical methods useful in characterizing different features of the biological stress response, as assessed by repeat measures of salivary cortisol. (2) To examine measurement properties of the features of the cortisol curve in order to be able to make specific recommendations regarding the best data collection tools and protocols in future studies and (3) To investigate and contrast methods useful in examining how features of the stress response curve are related to neighborhood and individual-level predictors as well as to individual-level outcomes. Addressing these Aims will improve the tools available to researchers to study how communities and neighborhoods trigger biological processes in humans that relate to health disparities in the population (one of the stated aims of this RFA). Relevance Persistent and pronounced differences in health by race/ethnicity (often termed health disparities) and by socioeconomic position have been documented for many different health outcomes. The reasons for these disparities remain a subject for research. Psychosocial factors have been hypothesized to be important contributors to these disparities but the tools available to characterize and analyze the biologic consequences of psychosocial stress remain limited. By developing tools necessary to measure and analyze biologic markers of the stress response, our project will contribute to the study for the reasons for health disparities in multiple health outcomes. Persistent and pronounced differences in health by race/ethnicity (often termed health disparities) and by socioeconomic position have been documented for many different health outcomes. The reasons for these disparities remain a subject for research. Psychosocial factors have been hypothesized to be important contributors to these disparities but the tools available to characterize and analyze the biologic consequences of psychosocial stress remain limited. By developing tools necessary to measure and analyze biologic markers of the stress response, our project will contribute to the study of the causes of health disparities in multiple outcomes.

描述（由申请人提供）：通过社会经济地位和种族/民族的健康差异已被记录为许多健康成果。对在多个层次（例如，从社区级别或邻里过程到生物学因素）中定义的因素的健康差异的原因更全面地理解，并解释了在多个健康状况下产生差异的常见或相互关联的过程仍然是一个主要挑战。这不仅要了解多种疾病的病因，而且要制定消除健康差异的策略。假设有助于多个健康领域差异的一个过程是社会心理压力。有人认为，长期以来反复接触社会心理压力源具有生物学后果，对多种健康状况的影响，包括低出生体重，哮喘和心血管疾病等多样化的结果。研究社会心理压力的作用的两个主要挑战包括（1）测量和表征应力反应的生物标记（2）研究这种复杂的生物学反应如何随着高级（或上游）决定因素（例如社会经济地位和社区特征）的函数而变化。我们建议通过开发基于人群的研究中表征和分析压力反应的生物标志物（特别是皮质醇概况）所必需的方法学工具来应对这两种挑战。我们项目的总体目标是改善方法论工具和数据收集方案，以了解上游决定因素（例如邻居级别的因素）如何触发生物学过程（特别是压力反应），这些过程可能会在人群中产生多种疾病结果的差异。我们将使用独特的多级数据集来调查不同方法学方法的使用，以对（a）针对唾液皮质醇数据的数据收集协议（特别是有关样本的数量和时间的数量和时间）和（b）涉及皮质醇概况的数据分析的数据分析或预测我们项目的特定目标的响应：重复唾液皮质醇的测量。 （2）检查皮质醇曲线特征的测量特性，以便能够就未来研究中的最佳数据收集工具和协议提出具体建议，以及（3）调查和对比方法，可用于研究压力响应曲线的特征与邻域和个体水平的预测器以及与个人水平的成果有关。解决这些目标将改善研究人员可用的工具，以研究社区和社区如何触发与人群健康差异相关的人类的生物过程（该RFA的既定目标之一）。相关性持续且明显地通过种族/种族（通常称为健康差异）和社会经济地位的相关性差异已被记录为许多不同的健康成果。这些差异的原因仍然是研究的主题。已经假设心理社会因素是这些差异的重要因素，但是可以表征和分析社会心理压力的生物学后果的工具仍然有限。通过开发衡量和分析压力反应的生物标记所必需的工具，我们的项目将有助于研究，原因是多种健康结果的健康差异。种族/种族（通常称为健康差异）和社会经济地位的持续性和明显的健康差异已被记录为许多不同的健康成果。这些差异的原因仍然是研究的主题。已经假设心理社会因素是这些差异的重要因素，但是可以表征和分析社会心理压力的生物学后果的工具仍然有限。通过开发衡量和分析压力反应的生物学标记所需的工具，我们的项目将有助于研究多种结果中健康差异的原因。