We propose a set of analyses that examine the antecedents, correlates, and consequences of change in biological measures and health. Specifically, we will examine three questions. 1) What individual and environmental factors contribute to our understanding of downstream health and survival? We will focus on links between health and stressful experience, SES, psychosocial vulnerability and emotional well- being. 2) What factors predict change in bioindicators? We will examine demographic and psychosocial factors along with environmental exposures to determine how prior experience is associated with change in biomarkers. We will focus on the effects of socioeconomic status (SES), emotional well-being, and chronic and acute stressors. We will examine change across the full array of biomarkers;a particularly innovative analysis will examine the connection between stressful experience and telomere attrition. 3) Do changes in bioindicators predict health outcomes and survival? We will use a life course framework to explore how change in bioindicators and trajectories of prior experience and exposures are associated with subsequent health, physical and cognitive function, and survival. Of particular interest are several high-profile bioindicators (telomere length, 5-HTTLPR genotype, and inflammatory markers), new data on factors that may modify these associations (trauma, caregiving, sleep quality, chronic pain, and optimism), and gene-environment interactions. We request funding for two data collection activities in order to enrich previously-collected data: A second round of in-home functional assessments in 2010;and selected assays of frozen biospecimens. Specifically, we will: 1) Obtain interviewer-measured markers of health and function collected in the home. The household protocol of the 2006 biomarker study included measures of grip strength, timed walks, chair stands, blood pressure, and lung capacity. We propose to collect these data for the survivors of the 2006 study by supplementing the longitudinal survey planned for 2010. These assessments will be added to the public use data set. 2) We will perform assays (5-HTTLPR, homocysteine, folate, ICAM-1, e-selectin, and high sensitivity C-reactive protein) of frozen round 1 blood specimens to "backfill" the round 1 data to the round 2 standard. The results of these assays will be added to the publicly released data. The work builds on a foundation of two decades of health and psychosocial data, two rounds of biomarker collection, and an interdisciplinary research team with an established record of productive collaboration.

Public Health Relevance

The proposed data collection and analysis will help researchers understand how and why environmental factors - such as individuals'socioeconomic status and the type and extent of life challenges that they face - influence health and survival at the older ages. A central focus is to understand the role of different biological mechanisms, including cardiovascular and metabolic function, immune response, and genetic influences, that underlie the linkages between the social environment and downstream health. The findings have implications for identifying the strongest predictors of population health and for expanding clinicians'focus beyond conventional risk factors of cardiovascular disease.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG016661-15
Application #
8494482
Study Section
Social Sciences and Population Studies Study Section (SSPS)
Program Officer
Haaga, John G
Project Start
1999-09-01
Project End
2014-06-30
Budget Start
2013-07-15
Budget End
2014-06-30
Support Year
15
Fiscal Year
2013
Total Cost
$543,979
Indirect Cost
$162,284
Name
Georgetown University
Department
Miscellaneous
Type
Other Domestic Higher Education
DUNS #
049515844
City
Washington
State
DC
Country
United States
Zip Code
20057
Cornman, Jennifer C; Glei, Dana A; Goldman, Noreen et al. (2015) Socioeconomic status and biological markers of health: an examination of adults in the United States and Taiwan. J Aging Health 27:75-102
Glei, Dana A; Goldman, Noreen; Rodríguez, Germán et al. (2014) Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality. Popul Dev Rev 40:331-360
Lagona, Francesco; Jdanov, Dmitri; Shkolnikova, Maria (2014) Latent time-varying factors in longitudinal analysis: a linear mixed hidden Markov model for heart rates. Stat Med 33:4116-34
Lee, Chioun; Rodríguez, Germán; Glei, Dana A et al. (2014) Increases in blood glucose in older adults: the effects of spousal health. J Aging Health 26:952-68
Vasunilashorn, Sarinnapha; Cohen, Alan A (2014) Stress responsive biochemical anabolic/catabolic ratio and telomere length in older adults. Biodemography Soc Biol 60:174-84
Lee, Chioun; Glei, Dana A; Weinstein, Maxine et al. (2014) Death of a child and parental wellbeing in old age: evidence from Taiwan. Soc Sci Med 101:166-73
Vasunilashorn, Sarinnapha; Glei, Dana A; Lin, Yu-Hsuan et al. (2013) Apolipoprotein E and measured physical and pulmonary function in older Taiwanese adults. Biodemography Soc Biol 59:57-67
Vasunilashorn, Sarinnapha; Glei, Dana A; Weinstein, Maxine et al. (2013) Perceived stress and mortality in a Taiwanese older adult population. Stress 16:600-6
Swann, Jonathan R; Spagou, Konstantina; Lewis, Matthew et al. (2013) Microbial-mammalian cometabolites dominate the age-associated urinary metabolic phenotype in Taiwanese and American populations. J Proteome Res 12:3166-80
Glei, Dana A; Goldman, Noreen; Wu, Chih-Hsun et al. (2013) Does exposure to stressors predict changes in physiological dysregulation? Ann Behav Med 46:121-6

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