The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The aging neuromuscular system and motor performance
Open accessAbstract
Age-related changes in the basic functional unit of the neuromuscular system, the motor unit, and its neural inputs have a profound effect on motor function, especially among the expanding number of old (older than ∼60 yr) and very old (older than ∼80 yr) adults. This review presents evidence that age-related changes in motor unit morphology and properties lead to impaired motor performance that includes 1) reduced maximal strength and power, slower contractile velocity, and increased fatigability; and 2) increased variability during and between motor tasks, including decreased force steadiness and increased variability of contraction velocity and torque over repeat contractions. The age-related increase in variability of motor performance with aging appears to involve reduced and more variable synaptic inputs that drive motor neuron activation, fewer and larger motor units, less stable neuromuscular junctions, lower and more variable motor unit action potential discharge rates, and smaller and slower skeletal muscle fibers that coexpress different myosin heavy chain isoforms in the muscle of older adults. Physical activity may modify motor unit properties and function in old men and women, although the effects on variability of motor performance are largely unknown. Many studies are of cross-sectional design, so there is a tremendous opportunity to perform high-impact and longitudinal studies along the continuum of aging that determine 1) the influence and cause of the increased variability with aging on functional performance tasks, and 2) whether lifestyle factors such as physical exercise can minimize this age-related variability in motor performance in the rapidly expanding numbers of very old adults.
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“The loss of muscle mass with age may be related to a decrease in total muscle fibers (Doering, Jenkins, et al., 2016), perhaps secondary to a loss of motor neurons (Hunter et al., 2016) and muscle fiber size (especially of Type II fibers; Nilwik et al., 2013)”
From Nutrition for Special Populations: Young, Female, and Masters Athletes (2019) · cites this paper as Hunter et al., 2016
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Fielding, R. A., Vellas, B., Evans, W. J., Bhasin, S., Morley, J. E., Newman, A. B., Abellan van Kan, G., Andrieu, S., Bauer, J., Breuille, D., et al. (2011) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2011.01.003 · Cited by 3,256
Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
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Signal-dependent noise determines motor planning
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Aging of skeletal muscle: a 12-yr longitudinal study
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Skeletal Muscle Power: A Critical Determinant of Physical Functioning in Older Adults
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“Power: Age-related reductions in maximal power are greater in magnitude than for maximal 339 isometric strength (105, 125, 127, 134, 143).”
InfluentialPredictors of skeletal muscle mass in elderly men and women
Baumgartner, R. N., Waters, D. L., Gallagher, D., Morley, J. E., & Garry, P. J. (1999) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(98)00130-4 · Cited by 809 · cited 1×
“Sarcopenia is the age-related loss of muscle mass and associated reductions in maximal muscle strength, power, and physical function (10, 42, 54).”
Satellite cell content is specifically reduced in type II skeletal muscle fibers in the elderly
Verdijk, L. B., Koopman, R., Schaart, G., Meijer, K., Savelberg, H. H. C. M., & van Loon, L. J. C. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00278.2006 · Cited by 489
Goodpaster, B. H., Chomentowski, P., Ward, B. K., Rossi, A., Glynn, N. W., Delmonico, M. J., Kritchevsky, S. B., Pahor, M., & Newman, A. B. (2008) · Journal of Applied Physiology · doi:10.1152/japplphysiol.90425.2008 · Cited by 446
The central role of muscle stem cells in regenerative failure with aging
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Cited by
Fragala, M. S., Cadore, E. L., Dorgo, S., Izquierdo, M., Kraemer, W. J., Peterson, M. D., & Ryan, E. D. (2019) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003230 · Cited by 1,290
Physical activity, aging, and physiological function
Harridge, S. D. R., & Lazarus, N. R. (2017) · Physiology · doi:10.1152/physiol.00029.2016 · Cited by 214
Nutrition for Special Populations: Young, Female, and Masters Athletes
Desbrow, B., Burd, N. A., Tarnopolsky, M., Moore, D. R., & Elliott-Sale, K. J. (2019) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2018-0269 · Cited by 100
Nuzzo, J. L., Pinto, M. D., Nosaka, K., & Steele, J. (2024) · Sports Medicine · doi:10.1007/s40279-023-01937-7 · Cited by 85
Diet and exercise in frailty and sarcopenia. Molecular aspects
Millan-Domingo, F., Garcia-Dominguez, E., Gambini, J., Olaso-Gonzalez, G., Viña, J., & Gomez-Cabrera, M. C. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101322 · Cited by 31
Metadata
- Authors
- Hunter, S. K., Pereira, H. M., & Keenan, K. G.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2016-10-01
- Volume
- 121
- Issue
- 4
- Pages
- 982-995
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2516533294
- Cited by
- 532
- References
- 17
- FWCI
- 14.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
