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Assessing biological aging: the origin of deficit accumulation

Mitnitski, Arnold, Song, Xiaowei, Rockwood, Kenneth·2013·Biogerontology
DOI 10.1007/s10522-013-9446-3PMC PMC3847281
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Fig. 1 Age trajectories of the mean number of deficits. Thin lines are the cross-sectional data for the nine consecutive two-years cycles plotted against age. The solid line is the best exponential fit with the exponent of 0.035 (±0.02)
Fig. 1 Age trajectories of the mean number of deficits. Thin lines are the cross-sectional data for the nine consecutive two-years cycles plotted against age. The solid line is the best exponential fit with the exponent of 0.035 (±0.02)CC BY · PubMed Central
Fig. 2 Distribution of the number of deficits for the two age groups: 20–30 years old (stars are the observational data and the dashed line is the exponential fit with the exponent −0.6) and 75–100 years old (circles are the observational data and the solid line is the gamma fit with the shape and scale parameters of 2.1 and 3.2, respectively)
Fig. 2 Distribution of the number of deficits for the two age groups: 20–30 years old (stars are the observational data and the dashed line is the exponential fit with the exponent −0.6) and 75–100 years old (circles are the observational data and the solid line is the gamma fit with the shape and scale parameters of 2.1 and 3.2, respectively)CC BY · PubMed Central

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Metadata

Authors
Mitnitski, A., Song, X., & Rockwood, K.
Venue
Biogerontology
Publisher
Springer Science and Business Media LLC
Published
2013-07-17
Volume
14
Issue
6
Pages
709-717
ISSN
  • 1389-5729
  • 1573-6768
DOI
10.1007/s10522-013-9446-3
PMC
PMC3847281
Cited by
159
References
10
Language
en
Licence
creativecommons.org/licenses/by/2.0 (unspecified)

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