The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Loss of 'Complexity' and Aging: Potential Applications of Fractals and Chaos Theory to Senescence
Abstract
The concept of "complexity," derived from the field of nonlinear dynamics, can be adapted to measure the output of physiologic processes that generate highly variable fluctuations resembling "chaos." We review data suggesting that physiologic aging is associated with a generalized loss of such complexity in the dynamics of healthy organ system function and hypothesize that such loss of complexity leads to an impaired ability to adapt to physiologic stress. This hypothesis is supported by observations showing an age-related loss of complex variability in multiple physiologic processes including cardiovascular control, pulsatile hormone release, and electroencephalographic potentials. If further research supports this hypothesis, measures of complexity based on chaos theory and the related geometric concept of fractals may provide new ways to monitor senescence and test the efficacy of specific interventions to modify the age-related decline in adaptive capacity.
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Cites
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Self-citationAging and the complexity of cardiovascular dynamics
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Cited by
Frailty in Older Adults: Evidence for a Phenotype
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Accumulation of Deficits as a Proxy Measure of Aging
Mitnitski, A. B., Mogilner, A. J., & Rockwood, K. (2001) · The Scientific World JOURNAL · doi:10.1100/tsw.2001.58 · Cited by 2,893
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Epidemiology and the web of causation: has anyone seen the spider?
Krieger, N. (1994) · Social Science & Medicine · doi:10.1016/0277-9536(94)90202-x · Cited by 1,419
Metadata
- Authors
- Lipsitz, L. A.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1992-04-01
- Volume
- 267
- Issue
- 13
- Pages
- 1806
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2097972359
- Cited by
- 1,256
- References
- 29
- FWCI
- 15.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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