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Demonstration of a Relationship Between Level of Physical Training and Insulin-stimulated Glucose Utilization in Normal Humans

Rosenthal, Mark, Haskell, W L, Solomon, Robert, Widstrom, Anders, Reaven, Gerald M·1983·Diabetes

Abstract

The relationship between level of physical training and in vivo insulin-stimulated glucose utilization was investigated in 33 healthy nonobese subjects. Status of physical training was estimated by maximal oxygen consumption (VO2 max) during graded bicycle ergometry, and insulin action by the insulin clamp technique. Within the study population we defined a significant (r = 0.63, P < 0.001) correlation between these two variables. This relationship was independent of age and obesity and accounted for over 40% of the variance in insulin-stimulated glucose utilization among these subjects. In addition, significant correlations existed between VO2 max and the plasma glucose (r = −0.35, P < 0.05) and insulin (r = −0.37, P < 0.05) responses to an oral glucose load. These results suggest that differences in level of physical training play a regulatory role in control of in vivo insulin action.

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Metadata

Authors
Rosenthal, M., Haskell, W. L., Solomon, R., Widstrom, A., & Reaven, G. M.
Venue
Diabetes
Published
1983-05-01
Volume
32
Issue
5
Pages
408-411
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2154248090
Cited by
247
References
0
FWCI
7.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Demonstration of a Relationship Between Level of Physical Training and Insulin-stimulated Glucose Utilization in Normal Humans. https://app.cochat.ai/papers/10.2337/diab.32.5.408
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Rosenthal, M., Haskell, W. L., Solomon, R., Widstrom, A., & Reaven, G. M. (1983). Demonstration of a Relationship Between Level of Physical Training and Insulin-stimulated Glucose Utilization in Normal Humans. Diabetes. https://doi.org/10.2337/diab.32.5.408

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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.