Background: In humans, the mortality rate dramatically decreases with age after birth, and the causes of death change significantly during childhood. In the present study, we attempted to explain age-associated decreases in mortality for congenital anomalies of the central nervous system (CACNS), as well as decreases in total mortality with age. We further investigated the age trajectory of mortality in the biologically related category "diseases of the nervous system" (DNS). Methods: The numbers of deaths were extracted from the mortality database of the World Health Organization (WHO) for the following nine countries: Denmark, Finland, Norway, Sweden, Austria, the Czech Republic, Hungary, Poland, and Slovakia. Because zero cases could be ascertained over the age of 30 years in 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: Total mortality from the first day of life up to the age of 10 years and mortality due to CACNS within the age interval of [0, 90) years can be represented by an inverse proportion with a single parameter. High coefficients of determination were observed for both total mortality (R2 = 0.996) and CACNS mortality (R2 = 0.990). Our findings indicated that mortality rates for DNS slowly decrease with age during the first 2 years of life, following which they decrease in accordance with an inverse proportion up to the age of 10 years. The theory of congenital individual risk (TCIR) may explain these observations based on the extinction of individuals with more severe impairments, as well as the bent curve of DNS, which exhibited an adjusted coefficient of determination of R¯2 = 0.966. Conclusion: The coincidence between the age trajectories of all-cause and CACNS-related mortality may indicate that the overall decrease in mortality after birth is due to the extinction of individuals with more severe impairments. More deaths unrelated to congenital anomalies may be caused by the manifestation of latent congenital impairments during childhood.

Department of Economics University of Hradec Králové Hradec Králové Czechia

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

Department of Pediatric Neurosurgery Charles University Thomayer's Teaching Hospital Prague Czechia

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Gompertz B. On the nature of the function expressive of the law of human mortality. Philos Trans R Soc Lond. (1825) 115:513–85. PubMed

Makeham W. On the law of mortality and the construction of annuity tables. J Inst Actuar. (1860) 8:301–10.

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

Riggs JE. Longitudinal Gompertzian analysis of adult mortality in the US, 1900–1986. Mech Ageing Dev. (1992) 54, 235–47. PubMed

Luder HU. Onset of human aging estimated from hazard functions associated with various causes of death. Mech Ageing Dev. (1993) 67, 247–59. PubMed

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

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

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

Bebbington M, Lai CD, Zitikis R. Modeling human mortality using mixtures of bathtub shaped failure distributions. J Theor 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 Popul 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. PubMed

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

Hayflick L, Moorhead PS. The serial cultivation of human diploid cell strains. Exp Cell Res. (1961) 25:585–621. PubMed

Bjorksten J, Tenhu H. The crosslinking theory of aging-added evidence. Exp Gerontol. (1990) 25:91–5. PubMed

Lin XS, Liu X. Markov aging process and phase type law of mortality. N Am Actuar 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) 1:158–68. 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. Modelling human mortality from all diseases in the five most populated countries of the European Union. Bull Math Biol. (2017) 79:2558–98. 10.1007/s11538-017-0341-y PubMed DOI

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

Izsak J, Juhász-Nagy P. On the explanation of the changes in age of the concentration of the death causes. Z Alternsforsch. (1984) 39:31–6. 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

World Health Organization WHO . Mortality ICD10. 2017 (2017). Available online at: http://www.who.int/healthinfo/statistics/mortality_rawdata/en/index.html (Accessed January 30, 2017).

World Health Organization WHO The International Classification of Diseases, 10th Revision, 3 Digit Codes (1997). Available online at: http://apps.who.int/classifications/apps/icd/icd10online (Accessed January 26, 2015).

Luy MA, Wittwer-Backofen U. The Halley band for paleodemographic mortality analysis. In: Recent Advances in Palaeodemography, Data, Techniques, Patterns. Bocquet-Appel JP. editor. Springer Science+Business Media B.V. (2008) p. 119–41. Available online at: https://link.springer.com/chapter/10.1007/978-1-4020-6424-1_5 DOI

Bellhouse DR. A new look at Halley's life table. J R Statist Soc A. (2011) 174:823–32. 10.2307/23013523 DOI

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.

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: seven years of experience of the EUROCAT surveillance system. Eur J Epidemiol. (2015) 30:1153–64. 10.1007/s10654-015-0012-y PubMed DOI PMC

Albright FS, Orlando P, Pavia AT, Jackson GG, Cannon Albright LA. Evidence for a heritable predisposition to death due to influenza. J Infect Dis. (2008) 197:18–24. 10.1086/524064 PubMed DOI

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

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