Background: Mortality rate rapidly decreases with age after birth, and, simultaneously, the spectrum of death causes show remarkable changes with age. This study analyzed age-associated decreases in mortality rate from diseases of all main chapters of the 10th revision of the International Classification of Diseases. Methods: The number of deaths was extracted from the mortality database of the World Health Organization. As zero cases could be ascertained for a specific age category, the Halley method was used to calculate the mortality rates in all possible calendar years and in all countries combined. Results: All causes mortality from the 1st day of life to the age of 10 years can be represented by an inverse proportion model with a single parameter. High coefficients of determination were observed for total mortality in all populations (arithmetic mean = 0.9942 and standard deviation = 0.0039). Slower or no mortality decrease with age was detected in the 1st year of life, while the inverse proportion method was valid for the age range [1, 10) years in most of all main chapters with three exceptions. The decrease was faster for the chapter "Certain conditions originating in the perinatal period" (XVI).The inverse proportion was valid already from the 1st day for the chapter "Congenital malformations, deformations and chromosomal abnormalities" (XVII).The shape of the mortality decrease was very different for the chapter "Neoplasms" (II) and the rates of mortality from neoplasms were age-independent in the age range [1, 10) years in all populations. Conclusion: The theory of congenital individual risks of death is presented and can explain the results. If it is valid, latent congenital impairments may be present among all cases of death that are not related to congenital impairments. All results are based on published data, and the data are presented as a supplement.

Department of Informatics and Quantitative Methods University of Hradec Králové Hradec Králové Czechia

Division of Pediatric Neurosurgery Department of Pediatric and Trauma Surgery Thomayer's Teaching Hospital and 3rd Faculty of Medicine Charles University Prague Prague Czechia

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Gompertz B. On the nature of the function expressive of the law of human mortality. Philos Trans Royal Soc London. (1825) 115:513–85. 10.1098/rstl.1825.0026 PubMed DOI PMC

Makeham W. On the law of mortality and the construction of annuity tables. J Inst Actuaries. (1860) 8:301–10. 10.1017/S204616580000126X DOI

Heligman L, Pollard JH. The age pattern of mortality. J Inst Actuaries. (1980) 107:49–75. 10.1017/S0020268100040257 DOI

Riggs JE. Longitudinal Gompertzian analysis of adult mortality in the US, 1900–1986. Mechanisms Age Dev. (1992) 54:235–47. 10.1016/0047-6374(90)90053-I PubMed DOI

Luder HU. Onset of human aging estimated from hazard functions associated with various causes of death. Mechanisms Age Dev. (1993) 67:247–59. 10.1016/0047-6374(93)90003-A PubMed DOI

Willemse WJ, Koppelaar H. Knowledge elicitation of gompertz' law of mortality. Scand Actuarial J. (2000) 2:168–79. 10.1080/034612300750066845 DOI

Preston SH, Heuveline P, Guillot M. Demography: Measuring and Modeling Population Processes. Oxford: Blackwell; (2001). p. 190–4.

Bebbington M, Lai CD, Zitikis R. Modeling human mortality using mixtures of bathtub shaped failure distributions. J Theoretical Biol. (2007) 245:528–38. 10.1016/j.jtbi.2006.11.011 PubMed DOI

Bebbington M, Lai CD, Zitikis R. Modelling deceleration in senescent mortality. Math Population Stud. (2011) 18:18–37. 10.1080/08898480.2011.540173 DOI

Harman D. Aging: a theory based on free radical and radiation chemistry. J Gerontol. (1956) 11:298–300. 10.1093/geronj/11.3.298 PubMed DOI

Strehler BL, Mildvan AS. General theory of mortality and aging. Science. (1960) 132:14–21. 10.1126/science.132.3418.14 PubMed DOI

Hayflick L, Moorhead PS. The serial cultivation of human diploid cell strains. Exp Cell Res. (1961) 25:585–621. 10.1016/0014-4827(61)90192-6 PubMed DOI

Bjorksten J, Tenhu H. The crosslinking theory of aging–added evidence. Exp Gerontol. (1990) 25:91–5. 10.1016/0531-5565(90)90039-5 PubMed DOI

Lin XS, Liu X. Markov aging process and phase type law of mortality. North Am Actuarial J. (2007) 11:92–109. 10.1080/10920277.2007.10597486 DOI

Flores I, Cayuela ML, Blasco MA. Effects of telomerase and telomere length on epidermal stem cell behavior. Science. (2005) 309:1253–6. 10.1126/science.1115025 PubMed DOI

Ferron SR, Marques-Torrejon MA, Mira H, Flores I, Taylor K, Blasco MA, et al. . Telomere shortening in neural stem cells disrupts neuronal differentiation and neuritogenesis. J Neurosci. (2009) 29:14394–407. 10.1523/JNEUROSCI.3836-09.2009 PubMed DOI PMC

Taupin P. Aging and neurogenesis, a lesion from Alzheimer's disease. Aging Dis. (2010) 1:89–104. Available online at: http://www.aginganddisease.org/EN/Y2010/V1/I2/158 PubMed PMC

Zheng H, Yang Y, Land KC. Heterogeneity in the strehler mildvan general theory of mortality and aging. Demography. (2011) 48:267–90. 10.1007/s13524-011-0013-8 PubMed DOI

Dolejs J. The extension of Gompertz law's validity. Mech Ageing Dev. (1998) 99:233–44. 10.1016/S0047-6374(97)00104-8 PubMed DOI

Dolejs J. Single parameter of inverse proportion between mortality and age could determine all mortality indicators in the 1st year of life. J Theoretical Biol. (2016) 397:193–8. 10.1016/j.jtbi.2016.03.007 PubMed DOI

Dolejs J, Maresova P. Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic Countries. Clin Interventions Aging. (2017) 12:161–73. 10.2147/CIA.S119327 PubMed DOI PMC

Dolejs J. Modelling human mortality from all diseases in the five most populated countries of the European Union. Bulletin Math Biol. (2017) 79:2558–98. 10.1007/s11538-017-0341-y PubMed DOI

Dolejs J. Age trajectories of mortality from all diseases in the six most populated countries of the South America during the last decades. Bulletin Math Biol. (2014) 76:2144–74. 10.1007/s11538-014-0005-0 PubMed DOI

Izsak J, Juhász-Nagy P. On the explanation of the changes in age of the concentration of the death causes. Zeitschrift für Alternsforschung. (1984) 39:31–36. PubMed

Dolejs J. Theory of the age dependence of mortality from congenital defects. Mech Ageing Dev. (2001) 122:1865–85. 10.1016/S0047-6374(01)00325-6 PubMed DOI

Dolejs J. Analysis of mortality decline along with age and latent congenital defects. Mech Ageing Dev. (2003) 124:679–96. 10.1016/S0047-6374(03)00063-0 PubMed DOI

Dantoft TM, Ebstrup JF, Linneberg A, Skovbjerg S, Madsen AL, Mehlsen J, et al. . Cohort description: the Danish study of functional disorders. Clin Epidemiol. (2017) 9:127–39. 10.2147/CLEP.S129335 PubMed DOI PMC

Dolej J, Homolkova H, Maresova P. Modeling the age-associated decrease in mortality rate for congenital anomalies of the central nervous system using WHO metadata from nine European Countries. Front Neurol. (2018) 9:585. 10.3389/fneur.2018.00585 PubMed DOI PMC

World Health Organization The International Classification of Diseases, 10th Revision, 3 digit codes. (1997). Available online at http://apps.who.int/classifications/apps/icd/icd10online (accessed January 21, 2017).

Thiele TN. On a mathematical formula to express the rate of mortality throughout the whole of life, tested by a series of observations made use of by the Danish Life Insurance Company of 1871. J Inst Actuaries Assurance Magazine. (1871) 5:313–29. 10.1017/S2046167400043688 DOI

Bourgeois Pichat J. De la mesure de la mortalité infantile. Population. (1946) 1:53–68. 10.2307/1524392 PubMed DOI

Bourgeois Pichat J. La mesure de la mortalité infantile ii, les causes de déces. Population. (1951) 6:459–80. 10.2307/1523958 DOI

Carnes BA, Olshansky JS, Grahn D. The search for a law of mortality. Population Dev Rev. (1996) 22:231–64. 10.2307/2137434 DOI

Knodel J, Kintner H. The impact of breast feeding patterns on biometric analysis of infant mortality. Demography. (1977) 14:391–409. 10.2307/2060586 PubMed DOI

Vaupel JW, Manton KG, Stallard E. The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography. (1979) 16:439–54. 10.2307/2061224 PubMed DOI

Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV, et al. . Biodemographic trajectories of longevity. Science. (1998) 280:855–60. 10.1126/science.280.5365.855 PubMed DOI

Hayflick L. Aging is not a disease. Aging. (1998) 10:146. PubMed

Halley E. An estimate of the degrees of mortality of mankind, drawn from curious tables of the births and funerals at the city of Breslaw, with an attempt to ascertain the price of annuities on lives. Philos Trans. (1693) 17:596–610. 10.1098/rstl.1693.0007 DOI

Bellhouse DR. A new look at Halley's life table. J R Statist Soc A. (2011) 174:823–32. 10.1111/j.1467-985X.2010.00684.x DOI

Luy MA, Wittwer-Backofen U. Chapter 5: the Halley band for paleodemographic mortality analysis. In: Bocquet-Appel J-P, editor. Recent Advances in Palaeodemography: Data, Techniques, Patterns. Paris: Springer Science & Business Media, CNRS; (2008). p. 119–41. Available online at: https://link.springer.com/chapter/10.1007/978-1-4020-6424-1_5 DOI

World Health Organization Mortality ICD10. (2015). Available online at: http://www.who.int/healthinfo/statistics/mortality_rawdata/en/index.html (accessed January 27, 2015).

Eurostat Eurostat File: demo_pjan. (2015). Available online at: http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_pjan&lang=en (accessed January 22, 2016).

Dolk H, Loane M, Teljeur C, Densem J, Greenlees R, McCullough N, et al. . Detection and investigation of temporal clusters of congenital anomaly in Europe: 7 years of experience of the EUROCAT surveillance system. Eur J Epidemiol. (2015) 30:1153–64. 10.1007/s10654-015-0012-y PubMed DOI PMC

Database of age trajectories of mortality in 110 countries and web application: Data report

Why Does Child Mortality Decrease With Age? Modeling the Age-Associated Decrease in Mortality Rate Using WHO Metadata From 25 Countries