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Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries
J. Dolejs, P. Marešová,
Jazyk angličtina Země Nový Zéland
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2006
Free Medical Journals
od 2006
PubMed Central
od 2006
Europe PubMed Central
od 2006
ProQuest Central
od 2006-01-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-01-01
Taylor & Francis Open Access
od 2006-01-01
Nursing & Allied Health Database (ProQuest)
od 2006-01-01
Public Health Database (ProQuest)
od 2006-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2008
PubMed
28176929
DOI
10.2147/cia.s119327
Knihovny.cz E-zdroje
- MeSH
- lidé středního věku MeSH
- lidé MeSH
- mortalita trendy MeSH
- naděje dožití trendy MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stárnutí MeSH
- statistické modely MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Skandinávie a severské státy epidemiologie MeSH
BACKGROUND: The answer to the question "At what age does aging begin?" is tightly related to the question "Where is the onset of mortality increase with age?" Age affects mortality rates from all diseases differently than it affects mortality rates from nonbiological causes. Mortality increase with age in adult populations has been modeled by many authors, and little attention has been given to mortality decrease with age after birth. MATERIALS AND METHODS: Nonbiological causes are excluded, and the category "all diseases" is studied. It is analyzed in Denmark, Finland, Norway, and Sweden during the period 1994-2011, and all possible models are screened. Age trajectories of mortality are analyzed separately: before the age category where mortality reaches its minimal value and after the age category. RESULTS: Resulting age trajectories from all diseases showed a strong minimum, which was hidden in total mortality. The inverse proportion between mortality and age fitted in 54 of 58 cases before mortality minimum. The Gompertz model with two parameters fitted as mortality increased with age in 17 of 58 cases after mortality minimum, and the Gompertz model with a small positive quadratic term fitted data in the remaining 41 cases. The mean age where mortality reached minimal value was 8 (95% confidence interval 7.05-8.95) years. The figures depict an age where the human population has a minimal risk of death from biological causes. CONCLUSION: Inverse proportion and the Gompertz model fitted data on both sides of the mortality minimum, and three parameters determined the shape of the age-mortality trajectory. Life expectancy should be determined by the two standard Gompertz parameters and also by the single parameter in the model c/x. All-disease mortality represents an alternative tool to study the impact of age. All results are based on published data.
Citace poskytuje Crossref.org
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