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Resistance Training for Health and Performance

Kraemer, William J., Ratamess, Nicholas A., French, Duncan N.·2002·Current Sports Medicine Reports

Abstract

Resistance training is recommended by national health organizations for incorporation into a comprehensive fitness program that includes aerobic and flexibility exercise. Its potential benefits on health and performance are numerous; it has been shown to reduce body fat, increase basal metabolic rate, decrease blood pressure and the cardiovascular demands to exercise, improve blood lipid profiles, glucose tolerance, and insulin sensitivity, increase muscle and connective tissue cross-sectional area, improve functional capacity, and relieve low back pain. Many improvements in physical function and athletic performance are associated with the increases in muscle strength, power, endurance, and hypertrophy observed during resistance training. The key element to effective resistance training is supervision by a qualified professional and the proper prescription of the program variables. Proper program design, ie, that which uses progressive overload, variation, and specificity, is essential to maximize the benefits associated with resistance training.

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Metadata

Authors
Kraemer, W. J., Ratamess, N. A., & French, D. N.
Venue
Current Sports Medicine Reports
Published
2002-06
Volume
1
Issue
3
Pages
165-171
ISSN
1537-890X (ISSN-L)
OpenAlex
W4254677513
Cited by
336
References
0
FWCI
2.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resistance Training for Health and Performance. https://app.cochat.ai/papers/10.1249/00149619-200206000-00007
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Kraemer, W. J., Ratamess, N. A., & French, D. N. (2002). Resistance Training for Health and Performance. Current Sports Medicine Reports. https://doi.org/10.1249/00149619-200206000-00007

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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.