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Journal of Nutrition and Metabolism
Volume 2012 (2012), Article ID 285395, 11 pages
Review Article

Physical Activity Targeted at Maximal Lipid Oxidation: A Meta-Analysis

1EA 4556 Epsylon: Laboratory of Dynamics of human Abilities & Health Behaviors, University Montpellier 1, 34000 Montpellier, France
2Department of Nutrition and Diabetes, University Hospital of Montpellier, 34295 Montpellier, France
3INSERM U1046 “Physiologie et Médecine Expérimentale du Cœur et du Muscle”, Université Montpellier 1, Université Montpellier 2 et Centre Hospitalier Universitaire Lapeyronie, 34295 Montpellier, France
4Department of Clinical Physiology (CERAMM), University Hospital of Montpellier, 34295 Montpellier, France

Received 7 January 2012; Revised 26 March 2012; Accepted 22 May 2012

Academic Editor: Jørn Helge

Copyright © 2012 A. J. Romain et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Exercise is recognized as a part of the management of obesity and diabetes. Various protocols of exercise are proposed for the management of obesity, diabetes, and other metabolic diseases. One of the strategies proposed by several authors is low intensity endurance training targeted at the level of maximal oxidation. Large series using this technique are lacking. Addressing this issue, we performed a meta-analysis of the studies on anthropometric measurements. From a database of 433 articles, 15 were selected, including 279 subjects with 6 different populations. Studies duration ranged from 2 months to 12 months. Concerning weight loss, in the intervention versus control analysis, five studies with 185 participants were included with a significant effect size favors exercise ( 𝑃 = 0 . 0 2 ) without significant heterogeneity ( 𝐼 2 = 0 . 0 % , 𝑃 = 0 . 8 3 ). Further randomized controlled trials for comparing it with other exercise protocols and defining its dose effectiveness on large samples are needed.