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Dynamic Determinants of Longevity and Exceptional Health

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Specialty Geriatrics
Date 2010 Oct 19
PMID 20953403
Citations 15
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Abstract

It is well known from epidemiology that values of indices describing physiological state in a given age may influence human morbidity and mortality risks. Studies of connection between aging and life span suggest a possibility that dynamic properties of age trajectories of the physiological indices could also be important contributors to morbidity and mortality risks. In this paper we use data on longitudinal changes in body mass index, diastolic blood pressure, pulse pressure, pulse rate, blood glucose, hematocrit, and serum cholesterol in the Framingham Heart Study participants, to investigate this possibility in depth. We found that some of the variables describing individual dynamics of the age-associated changes in physiological indices influence human longevity and exceptional health more substantially than the variables describing physiological state. These newly identified variables are promising targets for prevention aiming to postpone onsets of common elderly diseases and increase longevity.

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References
1.
Nussey D, Kruuk L, Morris A, Clutton-Brock T . Environmental conditions in early life influence ageing rates in a wild population of red deer. Curr Biol. 2007; 17(23):R1000-1. DOI: 10.1016/j.cub.2007.10.005. View

2.
Ruiz-Torres A, Gimeno A, Munoz F . Estimation of the aging rates of populations through the prevalence of age-related diseases. Arch Gerontol Geriatr. 1994; 19(3):235-42. DOI: 10.1016/0167-4943(94)00566-4. View

3.
Yashin A, Ukraintseva S, Arbeev K, Akushevich I, Arbeeva L, Kulminski A . Maintaining physiological state for exceptional survival: What is the normal level of blood glucose and does it change with age?. Mech Ageing Dev. 2009; 130(9):611-8. PMC: 2764411. DOI: 10.1016/j.mad.2009.07.004. View

4.
Paul L, Hastie C, Li W, Harrow C, Muir S, Connell J . Resting heart rate pattern during follow-up and mortality in hypertensive patients. Hypertension. 2009; 55(2):567-74. DOI: 10.1161/HYPERTENSIONAHA.109.144808. View

5.
Yashin A, Akushevich I, Arbeev K, Akushevich L, Ukraintseva S, Kulminski A . Insights on aging and exceptional longevity from longitudinal data: novel findings from the Framingham Heart Study. Age (Dordr). 2007; 28(4):363-374. PMC: 1994150. DOI: 10.1007/s11357-006-9023-7. View