Abstract
The reasons for classifying causes of death into aggregate groups are discussed and the impact of mortality partitions on analyses of mortality is described. Special emphasis is given to a mortality partition that distinguishes between intrinsic causes of death that arise primarily from the failure of biological processes that originate within an organism, and extrinsic causes of death that are primarily imposed on the organism by outside forces. Examples involving mortality data for mice, dogs, and humans are used to illustrate how this mortality partition infuses biological reasoning into mathematical models used to analyze and predict senescent-determined mortality, enhances the information content of the mortality schedules generated from these models, improves mortality comparisons between populations within species separated by time or geographic location, and provides a logical pathology endpoint for making interspecies comparisons of mortality. By bridging biology and the statistics of mortality, a mortality partition based on intrinsic and extrinsic causes of death provides both structure and direction for research on senescent-determined mortality.
Similar content being viewed by others
References
Benjamin B (1959) Actuarial aspects of human lifespans. In: Wolstenholme GEW, Oȁ9Connor M (eds) CIBA foundation colloquia on ageing, vol 5. Little Brown, Boston
Bodenheimer FS (1938) Problem of ANIMAL ECOLOGY. Oxford University Press, Oxford
Bourgeois-Pichat J (1978) Future outlook for mortality decline in the world. Popul Bull United Nations 11:12–41
Brown JH, West GB (eds) (2000) Scaling in biology. Oxford University Press, Oxford
Carey JR (2003) Longevity: the biology and demography of life span. Princeton University Press, Princeton
Carey JR, Liedo P, Orozco D, Vaupel JW (1992) Slowing of mortality rates at older ages in large medfly cohorts. Science 258:457–463
Carnes BA, Olshansky SJ (1993) Evolutionary perspectives on human senescence. Popul Dev Rev 19:793–806
Carnes BA (2004) Darwinian bodies in a Lamarkian world. The Gerontologist 44:274–279
Carnes BA, Olshansky SJ (1997) A biologically motivated partitioning of mortality. Exp Gerontol 32(6):615–631
Carnes BA, Olshansky SJ (2001) Heterogeneity and its biodemographic implications for longevity and mortality. Exp Gerontol 36:419–430
Carnes BA, Olshansky SJ, Grahn D (1996) Continuing the search for a law of mortality. Popul Dev Rev 22:231–264
Carnes BA, Olshansky SJ, Grahn D (1998) An interspecies prediction of the risk of radiation-induced mortality. Radiat Res 149:487–492
Carnes BA, Olshansky SJ, Grahn D (2003a) Biological evidence for limits to the duration of life. Biogerontology 4(1):31–45
Carnes BA, Grahn D, Hoel D (2003b) Mortality of atomic-bomb survivors predicted from laboratory animals. Radiat Res 160:159–167
Carnes BA, Nakasato YR, Olshansky SJ (2005) Medawar revisited: unresolved issues in research on ageing. Ageing Horizons 3:22–27
Clarke RD (1950) A bio-actuarial approach to forecasting rates of mortality. Proceed Cent Assem Inst Act 2:12–27
de Finetti B, Rossi C (1982) Bio-mathematical models of mortality. In: Samuel H Preston (ed) Biological and social aspects of mortality and length of life. Ordina Editions, Liege (Belgium)
Deevey ES Jr (1947) Life tables for natural populations of animals. Q Rev Biol 22:283–314
Eakin T, Witten M (1995a) How square is the survival curve of a given species? Exp Gerontol 30(1):33–64
Eakin T,Witten M (1995b) A gerontological distance metric for analysis of survival dynamics. Mech Aging Dev 78:85–101
Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman & Hall, London, 436 pp
Elandt-Johnson RC, Johnson NL (1980) Survival models and data analysis. John Wiley and Sons, NY
Fukui HH, Xiu L, Curtsinger JW (1993) Slowing of age-specific mortality rates in Drosophila melanogaster. Exp Gerontol 28:585–599
Gompertz B (1825) On the nature of the function expressive of the law of human mortality and on a new mode of determining life contingencies. Philos Trans R Soc Lond 115:513–585
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. Chicago: ANL-94/26
Grahn D, Wright BJ, Carnes BA, Williamson FS, 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. Chicago: ANL-95/3
Hayflick L (2000) The future of ageing. Nature 408:267–269
Hirsch HR, Liu X, Witten TM (2000). Mortality-rate cross-overs and maximum lifespan in advantaged and dis advantaged populations: accelerated-mortality and sudden-death models. J Theor Biol 205:171–180
Kier LB, Witten TM (2005) Cellular automata models of complex biochemical systems. In: Bonchev D, Rouvray DH (eds) Complexity in chemistry, biology and ecology. Springer Science+Business Media, NY
Kirkwood TBL, Holliday FRS (1979) The evolution of ageing and longevity. Proc R Soc Lond B 205:97–112
Kleinbaum DG, Kupper LL, Morgenstern H (1982) Epidemiologic research: principles and quantitative methods. Van Nostrand Reinhold Company, NY
Mackenbach JP, Bouvier-Colle MH, Jougla E (1990) “Avoidable” mortality and health-services: a review of aggregate data studies. J Epidemiol Commun Health 44:106–111
Makeham WM (1867) On the law of mortality. J Inst Actuaries 13:325–358
McGinnis JM, Foege WH (1993) Actual causes of death in the United States. JAMA 270:2207–2212
Medawar PB (1952) An unsolved problem of biology. Lewis, London
Mullner R (1999) Deadly glow: the radium dial workers tragedy. American Public Health Association
NCHS [National Center for Health Statistics] (2002) Deaths: final data for 2000. National Vital Statistics Reports 50(15). National Center for Health Statistics, Hyattsville, MD. Table 11
NOVS [National Office of Vital Statistics] (1954) Vital Statistics of the United States. 1950, vol I. US Government Printing Office, Washington D.C. Table 8.43
NCHS [National Center for Health Statistics] (1998) Technical appendix. Vital statistics of the United States, vol II, mortality, part A. Public Health Service, Washington
NCHS [National Center for Health Statistics] (1999) Public use data file documentation. Multiple cause of death for ICD-9 1996 data. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Hyattsville, Maryland
Olshansky SJ, Carnes BA (1997) Ever since Gompertz. Demography 34: 1–15
Olshansky SJ, Carnes BA, Grahn D (1998) Confronting the boundaries of human longevity. Am Sci 86:52–61
Olshansky SJ, Hayflick L, Carnes BA et al (2002) Position statement on human aging. Journal of Gerontology: Biological Sciences 57A(8):B1–B6
Pearl R (1921) A biological classification of the causes of death. Metron 1:92–99
Shryock HS, Siegel JS, Associates (1975) The methods and materials of demography, vol 2. U.S. Dept. of Commerce, Bureau of the Census, U.S. Govt. Printing Office: Washington, DC
Stearns SC, Ackermann M, Doebeli M (1998) The experimental evolution of aging in fruitflies. Exp Gerontol 33:785–792
Thomson RC (1989) Life-span effects of ionizing radiation in the Beagle Dog. PNL-6822 UC-408. Pacific Northwest Laboratory, Richland, WA
Acknowledgments
We would like to express our appreciation to Dr. Fletcher Hahn from the Lovelace Respiratory Research Institute for providing the Instituteȁ9s data on dogs and his advice on pathology issues. We would also like to thank Dr. Douglas Grahn for his insights on the animal studies. Funding for Dr. Carnes was provided by the National Aeronautics and Space Administration (NAG9-1518) and the National Institute on Aging (NIA, 7 K02 AG000979-06). Drs. Olshansky and Witten were funded by the National Institute on Aging (K02 AG00785-05) and (R01 AG11079 and the Nathan and Ethel Shock Memorial Aging Foundation) respectively.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Carnes, B.A., Holden, L.R., Olshansky, S.J. et al. Mortality Partitions and their Relevance to Research on Senescence. Biogerontology 7, 183–198 (2006). https://doi.org/10.1007/s10522-006-9020-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10522-006-9020-3