Work-life, Health Habits, and Health: Longitudinal Analysis of Aging

描述(由申请人提供)：更好地了解影响一生健康的复杂过程将使社会受益。特别有用的是，更好地了解可能受到公共和私人政策影响的关键因素的作用。我们将重点关注工作-生活和健康习惯作为健康的关键决定因素，并研究它们如何在生命过程中与健康相互作用。在工作-生活(例如职业)和健康习惯(开始吸烟、饮酒和肥胖)方面的早期选择可能会产生持久的影响，因此可能会影响以后的健康。这项建议的总体目标是研究工作-生活、健康习惯和健康结果之间在生命周期中的动态相互作用。我们将使用涵盖从青春期到晚年的几个纵向数据集来构建一个生命周期模型。我们的模型旨在评估这些因素之间的关联和潜在的多方向因果关系。我们将通过跨学科的方法来实现我们的目标，以最好地解决我们的研究问题。具体目标1：分析劳动力市场经历和健康习惯作为老年健康的决定因素，并调查这些因素是静态措施还是动态过程更好地表征这些因素。具体目标2：对源自目标1的主要风险因素之间的相互作用进行建模，识别和建模哪些因素是预先确定的，哪些是生命周期不同阶段的因果关系。允许劳动力市场变量、健康习惯和健康结果之间的多方向性，以及这些关系随年龄的变化。具体目标3：确定目标1和目标2中确定的关系在卫生措施以及种族和性别亚群中是否存在差异。使用多个数据集来评估研究结果的稳健性。具体目标4：根据我们的发现，确定关键的公共和私人政策，这些政策可能会对健康的发展轨迹产生重要影响，特别是在生命早期，从而导致长寿和高功能寿命。向学术受众传播研究成果，并将研究成果翻译为更广泛的受众，使他们能够从知识中受益。将使用的主要数据集是：收入动态小组研究(PSID)和健康与退休研究(MRS)。我们还将使用国家青年纵向研究(NLSY)和最年长老年人的资产和健康动态研究(AHEAD)来分别关注年轻人和老年人。这些纵向数据集一起涵盖了寿命，每个数据集都包含健康、健康习惯和劳动力市场特征的衡量标准。

DESCRIPTION (provided by applicant): Society would benefit from a better understanding of the complicated processes that affect health over the life span. Particularly useful would be a better understanding of the role of key factors that can be influenced by public and private policy. We will focus on work-life and health habits as key determinants of health and examine how they interact with health over the life course. Early choices with regard to work-life (e.g. occupation) and health habits (initiation of smoking, drinking, and obesity) can have durable effects and thus can affect later health. The overall aim of this proposal is to examine the dynamic interplay over the life cycle among work-life, health habits, and health outcomes. We will build a life cycle model using several longitudinal datasets covering the age range from adolescence to late life. Our model aims to assess associations and potential multidirectional causality among these factors. We will accomplish our goals by bridging methodologies across disciplines to best address our research questions. Specific Aim 1: Analyze labor market experiences and health habits as determinants of health in old age, and investigate whether these are better characterized by static measures or dynamic processes. Specific Aim 2: Model the interplay among the principal risk factors derived from Aim 1, recognizing and modeling which factors are pre-determined and which are causal at different points in the life cycle. Allow for multi-directionality among labor market variables, health habits, and health outcomes, and changes in these relationships with age. Specific Aim 3: Determine whether there are differences in the relationships identified in Aims 1 and 2 across health measures and race and gender sub-populations. Use multiple datasets to assess the robustness of findings. Specific Aim 4: Based on our findings, identify key public and private policies that could, especially early in life, have important impacts on the trajectory of health leading to a long and high functioning life. Disseminate findings to academic audiences and translate findings to be more accessible to broader audiences who could benefit from the knowledge. The primary datasets that will be used are: the Panel Study of Income Dynamics (PSID) and the Health and Retirement Study (MRS). We will also use the National Longitudinal Study of Youth (NLSY) and the Study of Assets and Health Dynamics among the Oldest Old (AHEAD) to focus on younger and older individuals, respectively. Together these longitudinal datasets cover the life span and each contains measures of health, health habits and labor market characteristics.