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Sports Medicine

, Volume 43, Issue 6, pp 463–481 | Cite as

The Latest on the Effect of Prior Exercise on Postprandial Lipaemia

  • Maria I. Maraki
  • Labros S. SidossisEmail author
Review Article

Abstract

This review examines the effect of prior exercise on postprandial triacylglycerol (pTAG) concentrations, an independent risk factor for cardiovascular diseases. Numerous studies have shown that a single bout of exercise reduces pTAG concentrations; however, several modulators such as exercise energy expenditure/deficit, mode of exercise (aerobic/resistance/high intensity/intermittent exercise or combinations), type of meal (moderate or high fat), time frame between exercise and meal and target group may individually or in conjunction influence this effect. On the other hand, at least for aerobic exercise, training reduces pTAG concentrations transiently (~2 days); therefore, exercise sessions should be frequent enough to maintain this clinically significant improvement. For the healthy population, it seems that a subject’s preference and ability determine which type of exercise to undertake to attenuate pTAG concentrations; an energy expenditure of ~30 kJ/kg of body mass (or ~2–2.5 MJ) not combined with a corresponding increase in energy intake is required; for resistance or intermittent exercise, for those following a moderate rather than a high-fat diet, and for those with obesity (expressed as kJ/kg of body mass), a smaller energy expenditure is probably sufficient. More studies are needed to investigate dose–response/plateau effects, as well as the threshold of energy expenditure in those with diabetes mellitus and other high-risk populations. Finally, investigation of the underlying mechanisms may be clinically helpful in individualizing the appropriate intervention.

Keywords

Aerobic Exercise Exercise Bout Energy Deficit Exercise Energy Expenditure Dietary Energy Restriction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by the Institute for Translational Sciences at the University of Texas Medical Branch, supported in part by a Clinical and Translational Science Award (UL1RR029876) from the National Center for Research Resources, National Institutes of Health and the Sealy Center on Aging, University of Texas Medical Branch at Galveston, TX, USA. Maria Maraki was supported by the Greek Governmental Institute of Scholarships and the Department of Nutrition and Dietetics Graduate Program, Harokopio University, Athens, Greece. The authors declare that they have no conflict of interest that are directly relevant to the content of this review.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Laboratory of Nutrition and Clinical Dietetics, Department of Nutrition and DieteticsHarokopio UniversityAthensGreece
  2. 2.Department of Internal Medicine, Sealy Center on Aging, Institute for Translational Sciences and Shriners Hospital for ChildrenUniversity of Texas Medical Branch at Galveston, 6.128 Rebecca Sealy HospitalGalvestonUSA

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