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. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG027045-01
Application #
7008258
Study Section
Special Emphasis Panel (ZRG1-HOP-R (50))
Program Officer
Haaga, John G
Project Start
2006-03-01
Project End
2010-02-28
Budget Start
2006-03-01
Budget End
2007-02-28
Support Year
1
Fiscal Year
2006
Total Cost
$442,323
Indirect Cost
Name
Yale University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Ayyagari, Padmaja; Deb, Partha; Fletcher, Jason et al. (2013) Understanding heterogeneity in price elasticities in the demand for alcohol for older individuals. Health Econ 22:89-105
Mandal, Bidisha; Ayyagari, Padmaja; Gallo, William T (2011) Job loss and depression: the role of subjective expectations. Soc Sci Med 72:576-83
Deb, Partha; Gallo, William T; Ayyagari, Padmaja et al. (2011) The effect of job loss on overweight and drinking. J Health Econ 30:317-27
Fletcher, Jason M; Sindelar, Jody L; Yamaguchi, Shintaro (2011) Cumulative effects of job characteristics on health. Health Econ 20:553-70
Gueorguieva, Ralitza; Sindelar, Jody L; Wu, Ran et al. (2011) Differential changes in body mass index after retirement by occupation: hierarchical models. Int J Public Health 56:111-6
Ayyagari, Padmaja; Sindelar, Jody L (2010) The Impact of Job Stress on Smoking and Quitting: Evidence from the HRS. B E J Econom Anal Policy 10:
Fletcher, Jason M; Frisvold, David E (2009) Higher Education and Health Investments: Does More Schooling Affect Preventive Health Care Use? J Hum Cap 3:144-176
Gallo, William T; Brand, Jennie E; Teng, Hsun-Mei et al. (2009) Differential Impact of Involuntary Job Loss on Physical Disability Among Older Workers Does Predisposition Matter? Res Aging 31:345-360
Falba, Tracy A; Sindelar, Jody L; Gallo, William T (2009) Work expectations, realizations, and depression in older workers. J Ment Health Policy Econ 12:175-86
Keenan, Patricia S (2009) Smoking and weight change after new health diagnoses in older adults. Arch Intern Med 169:237-42

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