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The efficiency of human movement???a statement of the problem

CAVANAGH, PETER R., KRAM, RODGER·1985·Medicine & Science in Sports & Exercise

Abstract

This paper is an introduction to a multidisciplinary series of papers on the efficiency of human movement. The problem is posed by citing the example of the large variation in oxygen uptake (per kg body weight) within a typical group of subjects running at the same submaximal speed. An analog of the possible causes of this variation is presented where "set points" for biomechanical, physiological, psychological, biochemical, and other factors combine in series to influence the overall energy cost. The various definitions of "efficiency" and "economy" are considered at the whole body and the isolated muscle level, and a discussion of baseline subtraction is presented. The concept of "effectiveness" is reviewed to illustrate the interaction of skilled performance and energy cost. It is recommended that the terms "muscular efficiency," "muscle efficiency," "economy," and "effectiveness" be used in their respective contexts to replace the current diversity of overlapping and, at times, confusing terminology.

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Metadata

Authors
CAVANAGH, P. R., & KRAM, R.
Venue
Medicine & Science in Sports & Exercise
Published
1985-06
Volume
17
Issue
3
Pages
304???308
ISSN
0195-9131 (ISSN-L)
OpenAlex
W2071205997
Cited by
159
References
0
FWCI
4.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The efficiency of human movement???a statement of the problem. https://app.cochat.ai/papers/10.1249/00005768-198506000-00002
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CAVANAGH, P. R., & KRAM, R. (1985). The efficiency of human movement???a statement of the problem. Medicine & Science in Sports & Exercise. https://doi.org/10.1249/00005768-198506000-00002

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.