The social environment and health are closely interwoven. Demographic characteristics, position in social hierarchies, and linkages within social networks and support systems mediate life's challenges, facilitate access to and use of care, and shape health-related behaviors. This biodemographic investigation has two overarching goals. The first is to elaborate the relationships among the social environment, life challenges, and health in an older population. The second is to examine how biological markers of stress and health enhance our understanding of these relationships. Embedded within these two fundamental goals are three specific aims: 1) To incorporate a second round of biomarker collection from persons aged 52 and older in a survey that included the collection of biomarkers in 2000; 2) To exploit the new longitudinal biomarker data to better understand the causal connections among health, the social environment, and exposure to life challenges; and 3) To elaborate the relationships between life challenge and health, exploring how the social environment affects that relationship. We use unusually rich, population-based data from a longitudinal study of older persons. These data have been collected approximately every three years since 1989 and collectively comprise detailed retrospective and current status information on health and on social, economic, and demographic characteristics. The data also include information and archived specimens from a study of a subset of the same population in 2000 including a demographic and health update, assays from blood and urine specimens, and a medical examination. We propose a second round of biomarker collection in 2005 for the survivors of the 2000 cohort as well as for a younger cohort that will be interviewed for the first time in 2003. Our analytical strategy relies largely on two multivariate approaches: 1) generalized linear models for longitudinal data; and 2) grade of membership models. The data from this study will be made available as a public use data set. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG016790-09
Application #
7253223
Study Section
Social Sciences and Population Studies Study Section (SSPS)
Program Officer
Patmios, Georgeanne E
Project Start
1999-09-15
Project End
2009-05-31
Budget Start
2007-09-15
Budget End
2008-05-31
Support Year
9
Fiscal Year
2007
Total Cost
$443,716
Indirect Cost
Name
Princeton University
Department
Miscellaneous
Type
Other Domestic Higher Education
DUNS #
002484665
City
Princeton
State
NJ
Country
United States
Zip Code
08544
Glei, Dana A; Goldman, Noreen; Ryff, Carol D et al. (2018) Physical Function in U.S. Older Adults Compared With Other Populations: A Multinational Study. J Aging Health :898264318759378
Culverhouse, R C; Saccone, N L; Horton, A C et al. (2018) Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol Psychiatry 23:133-142
Todd, Megan A (2017) Inflammation and Cognition in Older Adults: Evidence from Taiwan. Biodemography Soc Biol 63:309-323
Lee, Chioun; Glei, Dana A; Goldman, Noreen et al. (2017) Children's Education and Parents' Trajectories of Depressive Symptoms. J Health Soc Behav 58:86-101
Glei, Dana A; Goldman, Noreen; Ryff, Carol D et al. (2017) Can we determine whether physical limitations are more prevalent in the US than in countries with comparable life expectancy? SSM Popul Health 3:808-813
Cornman, Jennifer C; Glei, Dana A; Goldman, Noreen et al. (2017) Physiological Dysregulation, Frailty, and Risk of Mortality Among Older Adults. Res Aging 39:911-933
Lin, Yu-Hsuan; Jen, Min-Hua; Chien, Kuo-Liong (2017) Association between life-course socioeconomic position and inflammatory biomarkers in older age: a nationally representative cohort study in Taiwan. BMC Geriatr 17:201
Cornman, Jennifer C; Glei, Dana A; Goldman, Noreen et al. (2016) Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan. Int J Epidemiol 45:54-63
Goldman, Noreen; Glei, Dana A; Weinstein, Maxine (2016) What Matters Most for Predicting Survival? A Multinational Population-Based Cohort Study. PLoS One 11:e0159273
Glei, Dana A; Goldman, Noreen; Risques, Rosa Ana et al. (2016) Predicting Survival from Telomere Length versus Conventional Predictors: A Multinational Population-Based Cohort Study. PLoS One 11:e0152486

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