title: Influence of high-carbohydrate mixed meals with different glycemic indexes on substrate utilization during subsequent exercise in women.
abstract: BACKGROUND
  Few data exist on the metabolic responses to mixed meals with different glycemic indexes and their effects on substrate metabolism during exercise in women.
  
  
  OBJECTIVE
  We examined the effects of preexercise mixed meals providing carbohydrates with high (HGI) or low glycemic index (LGI) on substrate utilization during rest and exercise in women.
  
  
  METHODS
  Eight healthy, active, eumenorrheic women [aged 18.6 +/- 0.9 y; body mass: 59.9 +/- 7.1 kg; maximal oxygen uptake (VO(2)max): 48.7 +/- 1.1 mL . kg(-1) . min(-1)] completed 2 trials. On each occasion, subjects were provided with a test breakfast 3 h before performing a 60-min run at 65% VO(2)max on a motorized treadmill. Both breakfasts provided 2 g carbohydrate/kg body mass and were isoenergetic. The calculated GIs of the meals were 78 (HGI) and 44 (LGI).
  
  
  RESULTS
  Peak plasma glucose and serum insulin concentrations were greater after the HGI breakfast than after the LGI breakfast (P < 0.05). No significant differences in substrate oxidation were reported throughout the postprandial period. During exercise, the estimated rate of fat oxidation was greater in the LGI trial than in the HGI trial (P < 0.05). Similarly, plasma free fatty acid and glycerol concentrations were higher throughout exercise in the LGI trial (P < 0.05). No significant differences in plasma glucose or serum insulin were observed during exercise.
  
  
  CONCLUSIONS
  Altering the GI of the carbohydrate within a meal significantly changes the postprandial hyperglycemic and hyperinsulinemic responses in women. A LGI preexercise meal resulted in a higher rate of fat oxidation during exercise than did an HGI meal.
authors.affiliation: Sport and Exercise Nutrition Research Group, School of Sport and Exercise Sciences, Loughborough University, Leicestershire, United Kingdom. emma.stevenson@nottingham.ac.uk
authors.forename: Emma J
authors.initials: EJ
authors.lastname: Stevenson
authors.forename: Clyde
authors.initials: C
authors.lastname: Williams
authors.forename: Laura E
authors.initials: LE
authors.lastname: Mash
authors.forename: Beth
authors.initials: B
authors.lastname: Phillips
authors.forename: Maria L
authors.initials: ML
authors.lastname: Nute
mesh_terms: D000273:Adipose Tissue; D000293:Adolescent; D019540:Area Under Curve; D001786:Blood Glucose / Q000378:metabolism; D018592:Cross-Over Studies; D004040:Dietary Carbohydrates / Q000008:administration & dosage* / Q000145:classification* / Q000378:metabolism; D015444:Exercise / Q000502:physiology*; D005230:Fatty Acids, Nonesterified / Q000097:blood; D005260:Female; D038321:Glycemic Index / Q000502:physiology; D005990:Glycerol / Q000097:blood; D006801:Humans; D007328:Insulin / Q000097:blood; D019344:Lactic Acid / Q000097:blood; D010084:Oxidation-Reduction; D010101:Oxygen Consumption / Q000502:physiology*; D010953:Plasma Volume; D019518:Postprandial Period; D012420:Running / Q000502:physiology; D012527:Satiation / Q000502:physiology
chemical_list: D001786:Blood Glucose; D004040:Dietary Carbohydrates; D005230:Fatty Acids, Nonesterified; D007328:Insulin; D019344:Lactic Acid; D005990:Glycerol