Modeling Health Histories and the Dynamics of Social Inequality in a Nonhuman Primate Population

对非人类灵长类动物群体的健康史和社会不平等动态进行建模

基本信息

批准号：
10372887
负责人：
Raisa Hernandez Pacheco
金额：
$ 18.11万
依托单位：
CALIFORNIA STATE UNIVERSITY LONG BEACH
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-15 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10372887
关键词：
Address Adult Affect Age Aging Automobile Driving Basic Science Biological Markers Biological Models Body mass index Cessation of life Chronic stress Cognitive Complex Data Data Collection Data Set Demography Development Differential Mortality Dimensions Disadvantaged Entropy Equilibrium Ethnic Origin Exhibits Exposure to Female Formulation Fostering Future Gender Goals Health Health Transition Heterogeneity Homologous Gene Human Impaired cognition Individual Inequality Information Systems Injury Interruption Intervention Life Life Cycle Stages Longevity Longitudinal Studies Macaca Macaca mulatta Measures Methods Modeling Modification Outcome Pattern Performance Persons Phenotype Physiological Plant Roots Population Primates Probability Puerto Rico Race Recording of previous events Recovery Reduce health disparities Relapse Research Risk Severities Short-Term Memory Social Characteristics Social Environment Social status Social stratification Socioeconomic Status Structure Subgroup Testing Time Translating Translational Research United States National Institutes of Health Visit Weight Work age related base cognitive task comparative data structure density executive function experience flexibility follow-up health disparity healthy aging human data human population study improved indexing male mortality nonhuman primate psychologic sex social social attention social disadvantage social health determinants social inequality social integration theories therapy development trend

项目摘要

Project Summary The broad goal of the proposed project is to increase understanding of the dynamics of socially driven health disparities by developing improved methods to forecast individual health histories using a new primate model exposed to different levels of social disadvantage. Health disparities across different subgroups are a crucial societal problem1-3 and thus, accurate models describing and forecasting individual health histories are a fundamental first step to identify strategies for intervention. Most current models4-5 assume that the observed gradual accumulation of health decline in human populations reflect the change in the health history of individuals across their lifespan. However, recent work on functional limitations6 suggests that individual health histories are better described as a punctuated equilibrium pattern where the individual may experience periods of long-term stability interrupted by sudden changes. This points towards discrepancies between models used to test hypotheses about the impact of cumulative disadvantage over the lifespan, and the actual health histories experienced by individuals. To narrow the health gap and thus foster healthy aging across all groups, the theoretical and practical limitations imposed by current health history forecast methods must be overcome. This project aims to improve analytical understanding of health disparity dynamics by employing a comparative approach using data from the Cayo Santiago rhesus macaque population. This population uniquely allows for integrative longitudinal studies of health in a naturalistic, socially complex population, and thus is an ideal primate model system to yield information about how different individuals transition between multiple states of health across the socially stratified adult lifespan. The first aim is to characterize transition rules between multiple states of health across the socially stratified adult lifespan using indexes of health comprising both psychological and physiological health. The second aim is to use this new empirical dataset to formulate and develop a multistate forecasting model to analyze changing patterns of health and their relation to an individual’s social environment. The third aim is to then forecast cumulative health penalties and divergent health outcomes in order to identify stable or changing gaps in health across subgroups exposed to different levels of social disadvantage, such as social status and social integration. These aims will allow the formulation of an accurate dynamic health history forecast model, the examination of whether and how individual sociality affects health state transitions across sex and age, and ultimately the refinement, modification, and adaptation of data collection and current model assumptions for accurate assessment of socially driven health disparities. Specifically, this study will contribute to the NIH Stage 0 of Intervention Development through basic science, opening space to identify critical ages to target in a follow-up longitudinal study that will provide a crucial bridge to future translational research with humans.

项目摘要拟议项目的广泛目标是增加对社会驱动健康动态的理解通过开发改进的方法使用新的私人模型来预测个人健康历史的差异暴露于不同层次的社会灾难。跨不同亚组的健康差异至关重要社会问题1-3，因此描述和预测个人健康历史的准确模型是一个基本的第一步来确定干预策略。大多数当前模型4-5假设观察到人口健康下降的逐渐积累反映了个人健康史的变化在他们的寿命中。但是，有关功能限制的最新工作6表明个人健康历史是更好地描述为标点平衡模式，个人可能会经历长期的时期突然变化中断稳定性。这指向用于测试的模型之间的差异假设累积灾难在整个生命周期以及实际健康历史上的影响由个人体验。为了缩小健康差距，从而促进了所有群体的健康衰老，必须克服当前健康历史预测方法施加的理论和实际限制。该项目旨在通过使用比较来提高对健康差异动态的分析理解使用来自Cayo Santiago Rhesus猕猴种群的数据进行方法。这个人口独特地允许自然主义，社会复杂人群中健康的综合纵向研究，因此是理想的灵长类动物模型系统，以产生有关不同个人如何在多个健康状态之间过渡的信息跨越社会分层的成人寿命。第一个目的是表征多个状态之间的过渡规则使用健康指数完成心理和身体健康。第二个目的是使用这个新的经验数据集来制定和开发多态预测模型，以分析不断变化的健康模式及其与个人社会环境的关系。第三个目的是预测累积累积健康处罚和健康状况不同，以确定跨暴露于不同级别的社会灾难的亚组，稳定或改变健康差距，例如社会地位和社会融合。这些目标将允许精确的动态健康史的公式预测模型，检查个人社会是否以及如何影响整个健康状况转变性别和年龄，最终对数据收集和当前模型的完善，修改和适应准确评估社会驱动的健康差异的假设。具体而言，这项研究将有助于通过基础科学开发干预开发的NIH阶段0，开放空间以确定关键年龄在一项后续纵向研究中的目标，该研究将为未来的翻译研究提供至关重要的桥梁人类。