The broad long-term objectives of the proposed research are evaluation of the role of age trajectories of physiological indices as well as other factors as determinants of exceptional health among the elderly, by combining data collected in different longitudinal studies.
Specific aims : 1. Evaluate effects of age trajectories of each of the selected physiological indices, as well as other factors measured in Framingham Heart Study (FHS), Framingham Offspring Study (FHSO) and Honolulu Heart Study (HHS), on exceptional health among the elderly using traditional statistical methods. Evaluate changes in the effects of risk factors with age. 2. Develop mathematical and computer models describing mechanisms generating age dynamics of each physiological index including possibility of their homeostatic regulation and dynamic connection to health outcomes. Use these models in the analysis of FHS, HHS and FHSO data to: a) evaluate age related changes in coefficients of homeostatic regulation with age in each of selected physiological indices and their role in healthy aging;b) evaluate changes in the role of each index in determining health outcomes with age. 3. Evaluate age-related changes in characteristics determining joint dynamics of a set of selected physiological indices, as well as changes in effects of these indices on health outcomes. Evaluate age trajectories of """"""""normal"""""""" or """"""""optimal"""""""" physiological state as well as the range of tolerable deviations from it. For this purpose develop mathematical and computer model describing joint age dynamics of a set of physiological indices and its connection to health outcomes. Use this model in the analysis of FHS, FHSO and HHS data to address issues formulated above. 4. Evaluate dynamic determinants of exceptional health at late ages in the joint analysis of FHS, FHSO and HHS data. For this purpose develop compatible mathematical and computer models describing joint dynamics of a set of selected physiological indices and their connection to health outcomes for each of three selected data sets and use these models in joint analysis of these three longitudinal data sets. Evaluate differences and similarities in dynamic determinants of exceptional health at late ages in populations participating in joint analysis of data. Evaluate contribution of genetic and non-genetic factors in exceptional health at late ages in the joint analysis of FHS and FHSO data.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG027019-04
Application #
7569301
Study Section
Special Emphasis Panel (ZRG1-HOP-R (50))
Program Officer
Patmios, Georgeanne E
Project Start
2006-02-15
Project End
2010-12-31
Budget Start
2009-04-01
Budget End
2010-12-31
Support Year
4
Fiscal Year
2009
Total Cost
$341,186
Indirect Cost
Name
Duke University
Department
Social Sciences
Type
Schools of Arts and Sciences
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
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Akushevich, Igor; Kravchenko, Julia; Ukraintseva, Svetlana et al. (2013) Morbidity risks among older adults with pre-existing age-related diseases. Exp Gerontol 48:1395-401
Akushevich, Igor; Kravchenko, Julia; Ukraintseva, Svetlana et al. (2013) Recovery and survival from aging-associated diseases. Exp Gerontol 48:824-30
Akushevich, Igor; Kravchenko, Julia; Ukraintseva, Svetlana et al. (2013) Time trends of incidence of age-associated diseases in the US elderly population: Medicare-based analysis. Age Ageing 42:494-500
Yashin, A I; Arbeev, K G; Akushevich, I et al. (2012) The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span. Phys Life Rev 9:177-88; discussion 195-7
Akushevich, Igor; Kravchenko, Julia; Ukraintseva, Svetlana et al. (2012) Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis. J Am Geriatr Soc 60:323-7
Soubry, Adelheid; Il'yasova, Dora; Sedjo, Rebecca et al. (2012) Increase in circulating levels of IGF-1 and IGF-1/IGFBP-3 molar ratio over a decade is associated with colorectal adenomatous polyps. Int J Cancer 131:512-7
Arbeev, Konstantin G; Hunt, Steven C; Kimura, Masayuki et al. (2011) Leukocyte telomere length, breast cancer risk in the offspring: the relations with father's age at birth. Mech Ageing Dev 132:149-53
Arbeev, Konstantin G; Ukraintseva, Svetlana V; Akushevich, Igor et al. (2011) Age trajectories of physiological indices in relation to healthy life course. Mech Ageing Dev 132:93-102

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