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

工作生活、健康习惯和健康：纵向分析

• 批准号: 7576731
• 负责人: Jody L. Sindelar
• 金额: $ 40.21万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7576731
• 关键词: Address; Adolescence; Affect; Age; Aged, 80 and over; Aging; Alcohols; Characteristics; Cigarette; Data; Data Set; Development; Discipline; Disease; Elderly; Employment; Etiology; Exercise; Future; Gender; Goals; Habits; Health; Health Occupations; Hour; Income; Individual; Knowledge; Lead; Life; Life Cycle Stages; Longevity; Longitudinal Studies; Marketing; Measures; Methodology; Modeling; Obesity; Occupational; Occupations; Outcome; Patient Self-Report; Policies; Policy Maker; Population; Process; Race; Recording of previous events; Research; Research Personnel; Retirement; Risk Factors; Role; Smoking; Societies; Stress; Taxes; Time; Translating; Unemployment; Wages; Work; Youth; age group; base; drinking; experience; functional status; longitudinal analysis; nutrition; premature; prevent; programs; promoter

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 overallaim of this proposal is to examine the dynamic interplay over the life cycle among work-life, health habits, and health outcomes. Wewill 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 principalrisk 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. Usemultiple datasets to assessthe 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 andtranslate 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.

更好地了解影响健康的复杂过程将使社会受益。 寿命。特别有用的是更好地理解可能影响的关键因素的作用 通过公共和私人政策。我们将重点关注工作生活和健康习惯，将其作为健康和健康的关键决定因素。 研究它们在生命历程中如何与健康相互作用。关于工作与生活的早期选择（例如 职业）和健康习惯（开始吸烟、饮酒和肥胖）可以产生持久的影响，因此 会影响以后的健康。 该提案的总体目标是研究工作与生活之间的生命周期动态相互作用， 健康习惯和健康结果。我们将使用多个纵向数据集构建生命周期模型 涵盖从青春期到晚年的年龄范围。我们的模型旨在评估关联性和潜力 这些因素之间存在多向因果关系。我们将通过桥接方法来实现我们的目标 跨学科以最好地解决我们的研究问题。 具体目标 1：分析劳动力市场经验和健康习惯作为老年健康的决定因素， 并研究静态测量或动态过程是否能更好地表征这些特征。 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，认识到和 建模哪些因素是预先确定的，哪些因素在生命周期的不同点上是因果关系。允许 劳动力市场变量、健康习惯、健康结果以及变化之间的多向性 这些与年龄的关系。 具体目标 3：确定目标 1 和 2 中确定的关系是否存在差异 跨健康措施以及种族和性别亚人群。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，特别是在早期 在生命中，对健康轨迹产生重要影响，从而实现长寿和高功能的生活。 向学术受众传播研究结果并将研究结果翻译成更广泛的受众 可以从知识中受益的受众。 将使用的主要数据集是：收入动态面板研究 (PSID) 和健康 和退休研究（MRS）。我们还将使用国家青年纵向研究 (NLSY) 和 老年人资产和健康动态研究 (AHEAD) 重点关注年轻人和老年人 分别为个人。这些纵向数据集共同涵盖了生命周期，并且每个数据集都包含 健康、健康习惯和劳动力市场特征的衡量标准。

项目成果

Understanding heterogeneity in price elasticities in the demand for alcohol for older individuals.

• DOI: 10.1002/hec.1817
• 发表时间: 2013-01
• 期刊: HEALTH ECONOMICS
• 影响因子: 2.1
• 作者: Ayyagari, Padmaja;Deb, Partha;Fletcher, Jason;Gallo, William;Sindelar, Jody L.
• 通讯作者: Sindelar, Jody L.

Job loss and depression: the role of subjective expectations.

• DOI: 10.1016/j.socscimed.2010.11.014
• 发表时间: 2011-02
• 期刊: SOCIAL SCIENCE & MEDICINE
• 影响因子: 5.4
• 作者: Mandal, Bidisha;Ayyagari, Padmaja;Gallo, William T.
• 通讯作者: Gallo, William T.