Single parameter of inverse proportion between mortality and age could determine all mortality indicators in the first year of life
Language English Country England, Great Britain Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26987522
DOI
10.1016/j.jtbi.2016.03.007
PII: S0022-5193(16)00148-X
Knihovny.cz E-resources
- Keywords
- Age, Infant mortality, Models, Mortality indicators,
- MeSH
- Algorithms * MeSH
- Child MeSH
- Adult MeSH
- Infant MeSH
- Middle Aged MeSH
- Humans MeSH
- Linear Models MeSH
- Adolescent MeSH
- Young Adult MeSH
- Mortality trends MeSH
- Infant, Newborn MeSH
- Child, Preschool MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Aging * MeSH
- Models, Theoretical * MeSH
- Age Factors MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Infant MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Infant, Newborn MeSH
- Child, Preschool MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Mortality increase with age in adult population has been studied and modeled by many authors, but relatively little attention has been given to mortality decrease with age after birth. Data split in more detailed age categories can newly test mortality decrease with age. Age trajectories of mortality are studied in 20 age categories in the specific age interval 1-365 days. Four basic models mentioned in literature are tested here. The linear model and the linear model with the specific slope -1 in the log-log scale represent the most successful formalism. Mortality indicators describing the first year could be determined by a single parameter of the model with slope -1 in the log-log scale. All conclusions are based on published data which are presented as a supplement.
References provided by Crossref.org
Database of age trajectories of mortality in 110 countries and web application: Data report
