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Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries

Overview of attention for article published in Clinical Interventions in Aging, January 2017
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Title
Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries
Published in
Clinical Interventions in Aging, January 2017
DOI 10.2147/cia.s119327
Pubmed ID
Authors

Josef Dolejs, Petra Marešová

Abstract

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. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Student > Ph. D. Student 4 16%
Student > Bachelor 3 12%
Other 3 12%
Professor > Associate Professor 2 8%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Medicine and Dentistry 10 40%
Environmental Science 2 8%
Agricultural and Biological Sciences 1 4%
Economics, Econometrics and Finance 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 4 16%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2017.
All research outputs
#20,660,571
of 25,377,790 outputs
Outputs from Clinical Interventions in Aging
#1,550
of 1,968 outputs
Outputs of similar age
#320,195
of 421,675 outputs
Outputs of similar age from Clinical Interventions in Aging
#37
of 39 outputs
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