The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Is muscle power output a key factor in the age‐related decline in physical performance? A comparison of muscle cross section, chair‐rising test and jumping power
Abstract
Summary: Ageing compromises locomotor capacity and is associated with an increased risk of falls. Several lines of evidence indicate that both changes in muscle mass and performance are causative. Most studies, however, do not discern between effects of ageing, sedentarism and comorbidity. The present study compares the age effects in muscle cross section, force and power in physically competent self‐selected subjects of different age groups. A total of 169 women and 89 men between 18 and 88 years, without any disease, impairment or medication affecting the musculoskeletal system were enrolled in this study. Calf muscle cross‐sectional area was assessed by computed tomography. Muscle force and power were assessed by jumping mechanography. No significant correlation between muscle cross section and age was found in the men. A weak correlation in the women disappeared after correction for height. Close correlations with age, however, were found for peak force and peak power. Correction for muscle cross section or body weight further increased these correlation coefficients, particularly for peak power specific to body weight (r = 0.81 in women and r = 0.86 in men). The non‐sedentarian population investigated here depicted a reduction of >50% between the age of 20 and 80 without a reduction in muscle cross section. This suggests a crucial role for muscular power in the ageing process. Possibly, the jumping mechanography as a measurement of anti‐gravitational power output is a promising extension of the chair‐rising test, known to be predictive for immobilization and the risk of falls.
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Physical activity in older age: perspectives for healthy ageing and frailty
McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016) · Biogerontology · doi:10.1007/s10522-016-9641-0 · Cited by 1,369
Soysal, P., Hurst, C., Demurtas, J., Firth, J., Howden, R., Yang, L., Tully, M. A., Koyanagi, A., Ilie, P. C., López-Sánchez, G. F., et al. (2021) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.06.009 · Cited by 283
Grimmer, M., Riener, R., Walsh, C. J., & Seyfarth, A. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0458-8 · Cited by 249
Neuromuscular determinants of maximum walking speed in well-functioning older adults
Clark, D. J., Manini, T. M., Fielding, R. A., & Patten, C. (2013) · Experimental Gerontology · doi:10.1016/j.exger.2013.01.010 · Cited by 133
Functional Benefit of Power Training for Older Adults
Hazell, T., Kenno, K., & Jakobi, J. (2007) · Journal of Aging and Physical Activity · doi:10.1123/japa.15.3.349 · Cited by 111
Metadata
- Authors
- Runge, M., Rittweger, J., Russo, C. R., Schiessl, H., & Felsenberg, D.
- Venue
- Clinical Physiology and Functional Imaging
- Publisher
- Wiley
- Published
- 2004-11
- Volume
- 24
- Issue
- 6
- Pages
- 335-340
- ISSN
- 1475-0961 (ISSN-L)
- 1475-097X
- OpenAlex
- W2131944079
- Cited by
- 267
- References
- 6
- FWCI
- 3.23
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.