Biogerontology

, Volume 4, Issue 1, pp 31–45 | Cite as

Biological evidence for limits to the duration of life

  • Bruce A. Carnes
  • S. Jay Olshansky
  • Douglas Grahn
Article

Abstract

Projections of duration of life for humansbased on mathematical models have led someresearchers to claim that there is no lowerlimit to death rates or upper limit to lifeexpectancy, and that a life expectancy of 100will be achieved in the 21st century. Toassess the biological plausibility of theseclaims, we examined temporal aspects ofbiological phenomena in three mammalianspecies. Our examination revealed that: (1)physiological declines associated withreproduction consistently occur at ages thatare less than one-third of the median age atdeath, (2) physiological parameters associatedwith aging in humans lose eighty percent oftheir functional capacity by age 80, and (3)young versus old individuals can bedistinguished by the pathologies detected atdeath. The biological evidence suggests thatorganisms operate under warranty periods thatlimit the duration of life of individuals andthe life expectancy of populations. We usethese findings to discuss the issue of limitsto the duration of life and the validity ofmathematical models used to forecast humanlongevity.

life expectancy limits longevity mortality 

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References

  1. Astrand I (1960) Aerobic work capacity in med and women with special reference to age. Acta Physiol Scand 49(169): 1–92Google Scholar
  2. Bordson BL and Leonardo VS (1991) The appropriate upper age limit for several semen donors: a review of the genetic effects of paternal age. Fertil Steril 56: 397–401Google Scholar
  3. Bortz WM (1982) Disuse and aging. JAMA 248(10): 1203–1208Google Scholar
  4. Bourgeois-Pichat J (1978) Future outlook for mortality decline in the world. Pop Bull UN 11: 12–41Google Scholar
  5. Carnes BA and Olshansky SJ (1993) Evolutionary perspectives on human senescence. Popul Dev Rev 19: 793–806Google Scholar
  6. Carnes BA and Olshansky SJ (1997) A biologically motivated partitioning of mortality. Exp Gerontol 32(6): 615–631Google Scholar
  7. Carnes BA and Olshansky SJ (2001) Heterogeneity and its biodemographic implications for longevity and mortality. Exp Gerontol 36: 419–430Google Scholar
  8. Carnes BA, Olshansky SJ and Grahn D (1996) Continuing the search for a law of mortality. Popul Dev Rev 22: 231–264Google Scholar
  9. Carnes BA, Olshansky SJ, Gavrilov L, Gavrilova N and Grahn D (1999) Human longevity: nature vs nurture - fact or fiction. Perspect Biol Med 42: 422–441Google Scholar
  10. Charlesworth B (1994) Evolution in Age-Structured Populations, 2nd ed. Cambridge University Press, Cambridge, UKGoogle Scholar
  11. Cox DR (1972) Regression models and life-tables. J R Stat Soc London B 34: 187–220Google Scholar
  12. Dawkins R (1976) The Selfish Gene. Oxford University Press, OxfordGoogle Scholar
  13. Demographic and Health Surveys (2002) http://www.measuredhs. com/start.cfm?CFID=195973&CFTOKEN=81711358.Google Scholar
  14. de Grey ADNJ, Ames BN, Andersen JK, Bartke A, Campisi J, Heward CB, McCarter RJM and Stock G (2002) Time to talk SENS: critiquing the immutability of human aging. Ann NY Acad Sci 959: 452–462Google Scholar
  15. Eaton JW and Mayer AJ (1953) The social biology of very high fertility among the Hutterites. The demography of a unique population. Hum Biol 25: 206–264Google Scholar
  16. Ellison PT (2001) On Fertile Ground: A Natural History of Human Reproduction. Harvard University Press, Cambridge, MassachusettsGoogle Scholar
  17. Falzone JA and Shock NW (1956) Public Health Rep 71: 1185Google Scholar
  18. Fiatarone MA and Evans WJ (1990) Exercise in the oldest old. Topics Geriatr Rehabil 5(2): 63–77Google Scholar
  19. Flynn MA, Nolph GB, Baker AS and Krause G (1992) Aging in humans: a continuous 20-year study of physiologic and dietary parameters. J Am Coll Nutr 11: 660–672Google Scholar
  20. Flynn MA, Nolph GB, Baker AS, Martin WM and Krause G (1989) Total body potassium in aging humans: a longitudinal study. Am J Clin Nutr 50: 713–717Google Scholar
  21. Forbes RM and Reina JC (1970) Adult lean body mass declines with age: some longitudinal observations. Metabolism 19: 653–663Google Scholar
  22. Fries JF (1980) Aging, natural death, and the compression of morbidity. N Engl J Med 303: 130–135Google Scholar
  23. Garn SM (1975) Bone loss and aging. In: Goldman R and Rodstein M (eds) The Physiology and Pathology of Aging. Academic Press, New YorkGoogle Scholar
  24. Goldman RJ (1970) Speculations on vascular changes with age. J Am Geriatr Soc 18: 765–779Google Scholar
  25. Grahn D (1972) Data collection and genetic analysis in the selection and study of rodent model systems in aging. In: Gibson DC (ed) Development of the Rodent as a Model System of Aging, pp 55–65. DHEW Publication No (NIH) 72-121, Bethesda, MarylandGoogle Scholar
  26. Grahn D (1994) Studies of Acute and Chronic Radiation Injury at the Biological and Medical Research Division, Argonne National Laboratory, 1953-1970: Description of Individual Studies, Data Files, Codes, and Summaries of Significant Findings. ANL-94/26, ChicagoGoogle Scholar
  27. Grahn D, Wright BJ, Carnes BA, Williamson FS and Fox C (1995) Studies of Acute and Chronic Radiation Injury at the Biological and Medical Research Division, Argonne National Laboratory, 1970-1992: The Janus Program: Survival and Pathology Data. ANL-95/3, ChicagoGoogle Scholar
  28. Hamilton WD (1966) The moulding of senescence by natural selection. J Theor Biol 12: 12–45Google Scholar
  29. Harman SM, Metter EJ, Tobin JD, Pearson J and Blackman MR (2000) Longitudinal effects of aging on serum total and free testosterone levels in healthy men. J Clin Endocrinol Metabol 86(2): 724–731Google Scholar
  30. Hayflick L (2000) The future of ageing. Nature 408: 267–269Google Scholar
  31. Holliday R (1996) The evolution of human longevity. Perspectives Biol Med 40: 100–107Google Scholar
  32. Hummer RA, Nam CB and Rogers RG (1998) Adult mortality differentials associated with cigarette smoking. Popul Res Policy Rev 17: 285–304Google Scholar
  33. Johnson NE and Christenson BA (1998) Socio-demographic correlates of multiple causes of death: real or artifactual? Popul Res Policy Rev 17: 261–274Google Scholar
  34. Kalbfleisch JD and Prentice RL (1980) The Statistical Analysis of Failure Time Data. John Wiley & Sons, New YorkGoogle Scholar
  35. Kirkwood TBL (1977) Evolution of aging. Nature 270: 301–304Google Scholar
  36. Kleinbaum DG (1994) Logistic Regression: A Self-Learning Text. Springer-Verlag, New YorkGoogle Scholar
  37. Lakatta E (1979) Alterations in the cardiovascular system that occur in advanced age. Fed Proc 38: 163–167Google Scholar
  38. Lee RD and Carter LR (1992) Modeling and forecasting United States mortality. J Am Stat Assoc 87, 659–671Google Scholar
  39. Lian ZH, Zack MM and Erickson JD (1986) Paternal age and the occurrence of birth defects. Am J Hum Genet 39: 648–660Google Scholar
  40. McNeill WH (1976) Plagues and Peoples. Anchor, Garden City, New YorkGoogle Scholar
  41. Medawar PB (1952) An Unsolved Problem of Biology. Lewis, LondonGoogle Scholar
  42. Miller R (2002) Extending life: scientific prospects and political obstacles. Milbank Quart 80(1): 155–174Google Scholar
  43. National Center for Health Statistics (1998) Public Use Data File Documentation. Multiple Cause of Death for ICD-9 1996. Data. Centers for Disease Control and Health Statistics, Hyattsville, MarylandGoogle Scholar
  44. National Center for Health Statistics (2002) Live Births by Single Year of Age of Mother and Live Birth Order, by Race and Hispanic Origin of Mother, 1997, United States, Tables 1-10. http://www.cdc.gov/nchs/data/t1x1097.pdfGoogle Scholar
  45. Norris AH, Shock NW, Landowne M and Falzone JA (1956) Pulmonary function studies: age differences in lung volumes and bellows function. J Gerontol 11: 379Google Scholar
  46. Novak L (1972) Aging, total body potassium, fat-free mass, and cell mass in males and females between 18 and 85 years. J Gerontol 27: 438–443Google Scholar
  47. Oeppen J and Vaupel JW (2002) Broken limits to life expectancy. Science 296: 1029–1031Google Scholar
  48. Olshansky SJ (1988) On forecasting mortality. Milbank Quart 66: 482–530Google Scholar
  49. Olshansky SJ and Carnes BA (1996) Prospects for extended survival: a critical review of the biological evidence. In: Caselli G and Lopez A (eds) Health and Mortality among Elderly Populations, Chapter 3, pp 39–58. Clarendon Press, OxfordGoogle Scholar
  50. Olshansky SJ, Rudberg MA, Carnes BA, Cassel CK and Brody JA (1991) Trading off longer life for worsening health: the expansion of morbidity hypothesis. J Aging Health 3: 194–216Google Scholar
  51. Olshansky SJ, Carnes BA and Grahn D (1998) Confronting the boundaries of human longevity. Am Sci 86(1): 52–61Google Scholar
  52. Olshansky SJ, Carnes BA and Désesquelles A (2001) Still in search of Methuselah: prospects for human longevity in an aging world. Science 291: 1491–1492Google Scholar
  53. Olshansky SJ, Hayflick L and Carnes B (2002) No truth to the Fountain of Youth. Sci Am 286(6): 78–81Google Scholar
  54. Perls T, Alpert L and Fretts R (1997) Middle aged mothers live longer. Nature 389: 133Google Scholar
  55. Plas E, Berger P, Hermann M and Pfluger H (2000) Effects of aging on male fertility? Exp Gerontol 35: 543–551Google Scholar
  56. SAS Institute Inc. (1995) Logistic Regression: Examples Using the SAS System. SAS Institute, Cary, North CarolinaGoogle Scholar
  57. Schill WB (2001) Fertility and sexual life of men after their forties and in older age. Asian J Anrol 3(1): 1–7Google Scholar
  58. Shock NW (1957) Age changes in some physiologic processes. Geriatrics 12: 40–48Google Scholar
  59. SNOMED: Systematized Nomenclature of Medicine (1982) Volumes I and II. Updated through 1982. College of American Pathologists, Skokie, IllinoisGoogle Scholar
  60. SNOVET: Systematized Nomenclature of Veterinary Medicine (1984) Edited by Palotay JL and Rothwell DJ. American Veterinary Association, Schaumburg, IllinoisGoogle Scholar
  61. Shryock HS and Siegel JS (1975) The Methods and Materials of Demography. Vol 1. US Department of Commerce, Bureau of the Census, US Government Printing Office, Washington, DCGoogle Scholar
  62. Strehler BL and Mildvan AS (1960) General theory of mortality and aging. Science 132: 14–21Google Scholar
  63. Tuljapurkar S, Li N and Boe C (2000) A universal pattern of mortality decline in G7 countries. Nature 405: 789–792Google Scholar
  64. US Department of Health, Education and Welfare, Public Health Service (1989) International Classification of Diseases, Adapted for Use in the United States (ICDA-9) 9th Revision. National Center for Health Statistics, DHHS No. (PHS)891260, Washington, DCGoogle Scholar
  65. Vaupel J (1997) The average French baby may live 95 or 100 years. In: Robine JM et al. (eds) Longevity: to the Limits and Beyond, pp 11–27. Springer-Verlag, BerlinGoogle Scholar
  66. Vaupel JW and Gowen AE (1986) Passage to Methuselah: Some demographic consequences of continued progress against mortality. Am J Pub Health 76: 430–433Google Scholar
  67. Ventura SJ, Martin JA, Curtin SC and Mathews TJ (1998) Report of Final Natality Statistics, 1996. Monthly Vital Statistics Report: Vol 46, No11, Suppl. National Center for Health Statistics, Hyattsville, MarylandGoogle Scholar
  68. Vermeulen A (2000) Andropause. Maturitas 34: 5–15Google Scholar
  69. Weismann A (1891) Essays Upon Heredity and Kindred Biological Problems. Clarendon Press, OxfordGoogle Scholar
  70. Williams GC (1957) Pleiotropy, natural selection and the evolution of senescence. Evolution 11: 398–411Google Scholar
  71. Wilmoth J (1998) The future of human longevity: a demographer's perspective. Science 280: 395–397Google Scholar
  72. Wilmoth J (2001) Science dEbate. http://www.sciencemag.org/ cgi/eletters/291/5508/1491, 2001Google Scholar

Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • Bruce A. Carnes
    • 1
  • S. Jay Olshansky
    • 2
  • Douglas Grahn
    • 3
  1. 1.Center on Aging, National Opinion Research CenterUniversity of ChicagoChicagoUSA
  2. 2.School of Public HealthUniversity of Illinois at ChicagoChicagoUSA
  3. 3.Biosciences DivisionArgonne National LaboratoryArgonneUSA

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