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Biodemography of Aging pp 187–210Cite as

Dynamic Characteristics of Aging-Related Changes as Predictors of Longevity and Healthy Lifespan

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Part of the book series: The Springer Series on Demographic Methods and Population Analysis ((PSDE,volume 40))

Abstract

It is well known from epidemiological research that values of indices describing physiological states at a given age may influence human morbidity and mortality risks. Studies of the connections between aging and life span suggest that the dynamic properties of the age trajectories of the physiological indices could also be important contributors to morbidity and mortality risks. In this chapter, we use data from the Framingham Heart Study on longitudinal changes in body mass index, diastolic blood pressure, pulse pressure, pulse rate, blood glucose, hematocrit, and serum cholesterol of the participants to investigate this possibility in depth. We find that some of the variables describing the 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 efforts aiming to postpone the onset of common elderly diseases and increase longevity.

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References

  • Andres, R., Muller, D. C., & Sorkin, J. D. (1993). Long-term effects of change in body weight on all-cause mortality. A review. Annals of Internal Medicine, 119(7), 737–743.

    Article  Google Scholar 

  • Arbeev, K. G., Ukraintseva, S. V., Arbeeva, L. S., & Yashin, A. I. (2005). Mathematical models for human cancer incidence rates. Demographic Research, 12(10), 237–271.

    Article  Google Scholar 

  • Arbeev, K. G., Ukraintseva, S. V., Akushevich, I., Kulminski, A. M., Arbeeva, L. S., Akushevich, L., Culminskaya, I. V., & Yashin, A. I. (2011). Age trajectories of physiological indices in relation to healthy life course. Mechanisms of Ageing and Development, 132(3), 93–102.

    Article  Google Scholar 

  • Arbeev, K. G., Ukraintseva, S. V., Kulminski, A. M., Akushevich, I., Arbeeva, L. S., Culminskaya, I. V., Wu, D., & Yashin, A. I. (2012). Effect of the APOE polymorphism and age trajectories of physiological variables on mortality: Application of genetic stochastic process model of aging. Scientifica, 2012, 568628.

    Article  Google Scholar 

  • Austad, S. N. (2005). Diverse aging rates in metazoans: Targets for functional genomics. Mechanisms of Ageing and Development, 126(1), 43–49.

    Article  Google Scholar 

  • Benetos, A., Rudnichi, A., Thomas, F., Safar, M., & Guize, L. (1999). Influence of heart rate on mortality in a French population – Role of age, gender, and blood pressure. Hypertension, 33(1), 44–52.

    Article  Google Scholar 

  • Bigger, J. T., Jr., Fleiss, J. L., Steinman, R. C., Rolnitzky, L. M., Kleiger, R. E., & Rottman, J. N. (1992). Frequency domain measures of heart period variability and mortality after myocardial infarction. Circulation, 85(1), 164–171.

    Article  Google Scholar 

  • Colman, R. J., Anderson, R. M., Johnson, S. C., Kastman, E. K., Kosmatka, K. J., Beasley, T. M., Allison, D. B., Cruzen, C., Simmons, H. A., Kemnitz, J. W., & Weindruch, R. (2009). Caloric restriction delays disease onset and mortality in rhesus monkeys. Science, 325(5937), 201–204.

    Article  Google Scholar 

  • Cooper, L. T., Cooke, J. P., & Dzau, V. J. (1994). The vasculopathy of aging. Journal of Gerontology, 49(5), B191–B196.

    Article  Google Scholar 

  • De Martinis, M., Franceschi, C., Monti, D., & Ginaldi, L. (2005). Inflamm-ageing and lifelong antigenic load as major determinants of ageing rate and longevity. FEBS Letters, 579(10), 2035–2039.

    Article  Google Scholar 

  • Doubal, S., & Klemera, P. (1990). Influence of aging rate change on mortality curves. Mechanisms of Ageing and Development, 54(1), 75–85.

    Article  Google Scholar 

  • Hall, P. M. (1990). Hypertension in women. Cardiology, 77(Suppl. 2), 25–30.

    Article  Google Scholar 

  • Huikuri, H. V., Makikallio, T. H., Airaksinen, K. E. J., Seppanen, T., Puukka, P., Raiha, I. J., & Sourander, L. B. (1998). Power-law relationship of heart rate variability as a predictor of mortality in the elderly. Circulation, 97(20), 2031–2036.

    Article  Google Scholar 

  • Kerstjens, H. A., Rijcken, B., Schouten, J. P., & Postma, D. S. (1997). Decline of FEV1 by age and smoking status: Facts, figures, and fallacies. Thorax, 52(9), 820–827.

    Article  Google Scholar 

  • Kleiger, R. E., Miller, J. P., Bigger, J. T., Jr., & Moss, A. J. (1987). Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. American Journal of Cardiology, 59(4), 256–262.

    Article  Google Scholar 

  • Kulminski, A. M., Arbeev, K. G., Kulminskaya, I. V., Ukraintseva, S. V., Land, K., Akushevich, I., & Yashin, A. I. (2008). Body mass index and nine-year mortality in disabled and nondisabled older U.S. Individuals. Journal of the American Geriatrics Society, 56(1), 105–110.

    Article  Google Scholar 

  • Lee, I. M., & Paffenbarger, R. S., Jr. (1992). Change in body weight and longevity. JAMA: Journal of the American Medical Association, 268(15), 2045–2049.

    Article  Google Scholar 

  • Mikkelsen, K. L., Heitmann, B. L., Keiding, N., & Sorensen, T. I. (1999). Independent effects of stable and changing body weight on total mortality. Epidemiology, 10(6), 671–678.

    Article  Google Scholar 

  • Nakamura, E., & Miyao, K. (2007). A method for identifying biomarkers of aging and constructing an index of biological age in humans. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 62(10), 1096–1105.

    Article  Google Scholar 

  • Nakamura, E., & Miyao, K. (2008). Sex differences in human biological aging. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 63(9), 936–944.

    Article  Google Scholar 

  • Nilsson, P. M., Nilsson, J. A., Hedblad, B., Berglund, G., & Lindgarde, F. (2002). The enigma of increased non-cancer mortality after weight loss in healthy men who are overweight or obese. Journal of Internal Medicine, 252(1), 70–78.

    Article  Google Scholar 

  • Nussey, D. H., Kruuk, L. E. B., Morris, A., & Clutton-Brock, T. H. (2007). Environmental conditions in early life influence ageing rates in a wild population of red deer. Current Biology, 17(23), R1000–R1001.

    Article  Google Scholar 

  • Ostergaard, J. N., Gronbaek, M., Schnohr, P., Sorensen, T. I. A., & Heitmann, B. L. (2010). Combined effects of weight loss and physical activity on all-cause mortality of overweight men and women. International Journal of Obesity, 34(4), 760–769.

    Article  Google Scholar 

  • Paul, L., Hastie, C. E., Li, W. L. S., Harrow, C., Muir, S., Connell, J. M. C., Dominiczak, A. F., McInnes, G. T., & Padmanabhan, S. (2010). Resting heart rate pattern during follow-up and mortality in hypertensive patients. Hypertension, 55(2), 567–574.

    Article  Google Scholar 

  • Pekkanen, J., Nissinen, A., Vartiainen, E., Salonen, J. T., Punsar, S., & Karvonen, M. J. (1994). Changes in serum cholesterol level and mortality: A 30-year follow-up. The Finnish cohorts of the seven countries study. American Journal of Epidemiology, 139(2), 155–165.

    Google Scholar 

  • Rantanen, T., Volpato, S., Ferrucci, L., Heikkinen, E., Fried, L. P., & Guralnik, J. M. (2003). Handgrip strength and cause-specific and total mortality in older disabled women: Exploring the mechanism. Journal of the American Geriatrics Society, 51(5), 636–641.

    Article  Google Scholar 

  • Ruiz-Torres, A., Gimeno, A., & Munoz, F. J. (1994). Estimation of the aging rates of populations through the prevalence of age-related diseases. Archives of Gerontology and Geriatrics, 19(3), 235–242.

    Article  Google Scholar 

  • Ryan, G., Knuiman, M. W., Divitini, M. L., James, A., Musk, A. W., & Bartholomew, H. C. (1999). Decline in lung function and mortality: The Busselton Health Study. Journal of Epidemiology and Community Health, 53(4), 230–234.

    Article  Google Scholar 

  • Sircar, K., Hnizdo, E., Petsonk, E., & Attfield, M. (2007). Decline in lung function and mortality: Implications for medical monitoring. Occupational and Environmental Medicine, 64(7), 461–466.

    Article  Google Scholar 

  • Somes, G. W., Kritchevsky, S. B., Shorr, R. I., Pahor, M., & Applegate, W. B. (2002). Body mass index, weight change, and death in older adults: The systolic hypertension in the elderly program. American Journal of Epidemiology, 156(2), 132–138.

    Article  Google Scholar 

  • Sorensen, T. I. (2003). Weight loss causes increased mortality: Pros. Obesity Reviews, 4(1), 3–7.

    Article  Google Scholar 

  • Truesdale, K. P., Stevens, J., & Cai, J. (2005). The effect of weight history on glucose and lipids: The Atherosclerosis Risk in Communities Study. American Journal of Epidemiology, 161(12), 1133–1143.

    Article  Google Scholar 

  • Ukraintseva, S. V., & Yashin, A. I. (2001). How individual age-associated changes may influence human morbidity and mortality patterns. Mechanisms of Ageing and Development, 122(13), 1447–1460.

    Article  Google Scholar 

  • Ukraintseva, S. V., & Yashin, A. I. (2003). Individual aging and cancer risk: How are they related? Demographic Research, 9(8), 163–196.

    Article  Google Scholar 

  • van Vliet, P., Oleksik, A. M., van Heemst, D., de Craen, A. J. M., & Westendorp, R. G. J. (2010). Dynamics of traditional metabolic risk factors associate with specific causes of death in old age. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 65(5), 488–494.

    Article  Google Scholar 

  • Vasto, S., Scapagnini, G., Bulati, M., Candore, G., Castiglia, L., Colonna-Romano, G., Lio, D., Nuzzo, D., Pellicano, M., Rizzo, C., Ferrara, N., & Caruso, C. (2010). Biomarkers of aging. Frontiers in Bioscience (Scholar Edition), S2(2), 392–402.

    Article  Google Scholar 

  • Willcox, B. J., He, Q. M., Chen, R., Yano, K., Masaki, K. H., Grove, J. S., Donlon, T. A., Willcox, D. C., & Curb, J. D. (2006). Midlife risk factors and healthy survival in men. JAMA: Journal of the American Medical Association, 296(19), 2343–2350.

    Article  Google Scholar 

  • Yashin, A. I., Akushevich, I. V., Arbeev, K. G., Akushevich, L., Ukraintseva, S. V., & Kulminski, A. (2006). Insights on aging and exceptional longevity from longitudinal data: Novel findings from the Framingham Heart Study. Age, 28(4), 363–374.

    Article  Google Scholar 

  • Yashin, A. I., Arbeev, K. G., Akushevich, I., Kulminski, A., Akushevich, L., & Ukraintseva, S. V. (2007). Stochastic model for analysis of longitudinal data on aging and mortality. Mathematical Biosciences, 208(2), 538–551.

    Article  Google Scholar 

  • Yashin, A. I., Arbeev, K. G., Akushevich, I., Kulminski, A., Akushevich, L., & Ukraintseva, S. V. (2008). Model of hidden heterogeneity in longitudinal data. Theoretical Population Biology, 73(1), 1–10.

    Article  Google Scholar 

  • Yashin, A. I., Ukraintseva, S. V., Arbeev, K. G., Akushevich, I., Arbeeva, L. S., & Kulminski, A. M. (2009). Maintaining physiological state for exceptional survival: What is the normal level of blood glucose and does it change with age? Mechanisms of Ageing and Development, 130(9), 611–618.

    Article  Google Scholar 

  • Yashin, A. I., Arbeev, K. G., Akushevich, I., Arbeeva, L., Kravchenko, J., Il’yasova, D., Kulminski, A., Akushevich, L., Culminskaya, I., Wu, D., Ukraintseva, S. V. (2010a). Dynamic determinants of longevity and exceptional health. Current Gerontology and Geriatrics Research, Article ID 381637, 2010, 1–13.

    Google Scholar 

  • Yashin, A. I., Arbeev, K. G., Akushevich, I., Ukraintseva, S. V., Kulminski, A., Arbeeva, L. S., & Culminskaya, I. (2010b). Exceptional survivors have lower age trajectories of blood glucose: Lessons from longitudinal data. Biogerontology, 11(3), 257–265.

    Google Scholar 

  • Yashin, A. I., Arbeev, K. G., Ukraintseva, S. V., Akushevich, I., & Kulminski, A. (2012). Patterns of aging related changes on the way to 100: An approach to studying aging, mortality, and longevity from longitudinal data. North American Actuarial Journal, 16(4), 403–433.

    Article  Google Scholar 

  • Yashin, A. I., Arbeev, K. G., Wu, D., Arbeeva, L. S., Kulminski, A., Akushevich, I., Culminskaya, I., Stallard, E., Ukraintseva, S. (2013) How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data. Frontiers in Genetics, 4(3), 1–20.

    Google Scholar 

  • Zureik, M., Courbon, D., & Ducimetiere, P. (1997). Decline in serum total cholesterol and the risk of death from cancer. Epidemiology, 8(2), 137–143.

    Article  Google Scholar 

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Acknowledgements

The research reported in this chapter was supported by the National Institute on Aging grants R01AG027019, R01AG030612, R01AG030198, 1R01AG046860, and P01AG043352. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Aging or the National Institutes of Health. The Framingham Heart Study (FHS) is conducted and supported by the National Heart, Lung and Blood Institute (NHLBI) in collaboration with the FHS Investigators. This chapter was prepared using a limited access dataset obtained from the NHLBI and does not necessarily reflect the opinions or views of the FHS or the NHLBI.

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Authors and Affiliations

  1. Biodemography of Aging Research Unit, Center for Population Health and Aging, Duke Population Research Institute & Social Science Research Institute at Duke University, Durham, NC, USA

    Anatoliy I. Yashin, Konstantin G. Arbeev, Svetlana V. Ukraintseva, Liubov S. Arbeeva, Igor Akushevich, Alexander M. Kulminski, Irina Culminskaya, Deqing Wu & Kenneth C. Land

  2. Department of Surgery, Duke University Medical Center, Box 3709, Durham, NC, 27710, USA

    Julia Kravchenko

  3. Department of Sociology, Duke University, Box 90088, Durham, NC, 27708-0088, USA

    Kenneth C. Land

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  1. Anatoliy I. Yashin
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  2. Konstantin G. Arbeev
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  3. Svetlana V. Ukraintseva
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  4. Liubov S. Arbeeva
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  5. Igor Akushevich
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Correspondence to Anatoliy I. Yashin .

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Yashin, A.I. et al. (2016). Dynamic Characteristics of Aging-Related Changes as Predictors of Longevity and Healthy Lifespan. In: Biodemography of Aging. The Springer Series on Demographic Methods and Population Analysis, vol 40. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7587-8_8

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  • DOI: https://doi.org/10.1007/978-94-017-7587-8_8

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