Glycemic Index - Variability Among Individuals
Evaluation of Glycemic Index to Assess Diet Associated Chronic Disease Risk
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02111
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- For Phase 1 (Study 1) a total of seventy five volunteers will be included in the study. This study will be conducted in adult men and women (18-85 y) free of known chronic disease with BMI 18 to 35 kg/m2.
- For Phase 2 (Studies 2, 3, 4, and 5) a total of 80 volunteers will be included, 20 volunteers per study. Phase 2 studies will be conducted in adult men and women (50 - 85 y) free of known chronic disease and with a BMI of 25 to 35 kg/m2.
- For Phase 3 (Study 6) a total of 20 volunteers will be included in the study. Phase 3 study will be conducted in adult men and women (50-85 y) free of known chronic disease and with a BMI of 25 to 35 kg/m2.
Exclusion criteria:
- BMI ≥ 35 kg/m2 for Phase I, and BMI ≤ 25 to ≥ 35 kg/m2 for Phase II and III
- Renal disease, as defined by a history of chronic kidney disease or by glomerular filtration rate of < 60 ml.min/1.73 m2 calculated from screening blood tests.
- Liver disease, as defined by a history of chronic hepatitis B or C, cholestatic or cirrhotic liver disease, nonalcoholic fatty liver disease, elevations of serum glutamate pyruvate transaminase (SGPT) or serum glutamate oxaloacetate transaminase (SGOT) greater than 1.5 times the upper limit of normal at screening, bilirubin greater than 2 mg/dL (in the absence of benign causes of elevated bilirubin such as Gilbert's syndrome) at screening, or albumin below the lower limit of normal.
- Untreated hypertension, defined as systolic blood pressure (SBP) > 140 mm and diastolic blood pressure (DBP) > 90 mm.
- Irritable bowel syndrome.
- Malabsorptive disorder and inflammatory bowel disease.
- Disorders of esophageal and gastrointestinal motility, and previous esophageal or gastric resection.
- History of chronic pancreatitis, or history of acute pancreatitis within the last year.
- Hypothyroidism or hyperthyroidism, as defined as screening thyroid-stimulating hormone (TSH) outside of normal ranges.
- Anemia, as defined by screening hematocrit of 34% for women and 38% for men.
- Smoking within the past 6 months.
- Diabetes.
- Fasting glucose ≥ 125 mg/dL.
- Pregnancy.
- Breastfeeding.
- History of polycystic ovary syndrome
- History of autoimmune or other connective tissue disorders associated with chronic inflammation, such as rheumatoid arthritis.
- Alcohol consumption > 7 drinks/week.
- Use of medications or supplements known to affect glucose metabolism.
- Use of medications or supplements known to affect lipid metabolism.
- Established cardiovascular disease (myocardial infarction, stroke, heart failure, coronary artery. bypass graft, stenosis > 50%, peripheral arterial disease).
- Unwillingness to adhere to study protocol.
- Weight gain or loss of more than 15 lbs within 6 months prior to enrollment.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: BASIC_SCIENCE
- Allocation: RANDOMIZED
- Interventional Model: CROSSOVER
- Masking: DOUBLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
OTHER: carbohydrate load
Food challenge - Carbohydrate load
|
Carbohydrate
|
|
OTHER: Carbohydrate + Protein
Food challenge - carbohydrate + protein
|
Light Tuna Packed in water.
|
|
OTHER: Carbohydrate + Fat
Food challenge - carbohydrate + fat
|
Butter
|
|
OTHER: Fiber
Food challenge - carbohydrate + fiber
|
Unrefined Carbohydrate
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Glucose, Insulin, Free Fatty Acids.
Time Frame: 5 hours
|
5 hours
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Fasting and non-fasting plasma lipids and lipoproteins, C reactive protein (CRP), HbAIc.
Time Frame: 5 hours
|
5 hours
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Alice H Lichtenstein, D.Sc., JM USDA Human Nutrition Research Center on Aging at Tufts University
Publications and helpful links
General Publications
- Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001 May 16;285(19):2486-97. doi: 10.1001/jama.285.19.2486. No abstract available.
- Jenkins DJ, Wolever TM, Taylor RH, Barker H, Fielden H, Baldwin JM, Bowling AC, Newman HC, Jenkins AL, Goff DV. Glycemic index of foods: a physiological basis for carbohydrate exchange. Am J Clin Nutr. 1981 Mar;34(3):362-6. doi: 10.1093/ajcn/34.3.362.
- Salmeron J, Manson JE, Stampfer MJ, Colditz GA, Wing AL, Willett WC. Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA. 1997 Feb 12;277(6):472-7. doi: 10.1001/jama.1997.03540300040031.
- Salmeron J, Ascherio A, Rimm EB, Colditz GA, Spiegelman D, Jenkins DJ, Stampfer MJ, Wing AL, Willett WC. Dietary fiber, glycemic load, and risk of NIDDM in men. Diabetes Care. 1997 Apr;20(4):545-50. doi: 10.2337/diacare.20.4.545.
- Amano Y, Kawakubo K, Lee JS, Tang AC, Sugiyama M, Mori K. Correlation between dietary glycemic index and cardiovascular disease risk factors among Japanese women. Eur J Clin Nutr. 2004 Nov;58(11):1472-8. doi: 10.1038/sj.ejcn.1601992.
- Schulze MB, Liu S, Rimm EB, Manson JE, Willett WC, Hu FB. Glycemic index, glycemic load, and dietary fiber intake and incidence of type 2 diabetes in younger and middle-aged women. Am J Clin Nutr. 2004 Aug;80(2):348-56. doi: 10.1093/ajcn/80.2.348.
- Wolever TM, Csima A, Jenkins DJ, Wong GS, Josse RG. The glycemic index: variation between subjects and predictive difference. J Am Coll Nutr. 1989 Jun;8(3):235-47. doi: 10.1080/07315724.1989.10720298.
- Wolever TM, Jenkins DJ, Josse RG, Wong GS, Lee R. The glycemic index: similarity of values derived in insulin-dependent and non-insulin-dependent diabetic patients. J Am Coll Nutr. 1987 Aug;6(4):295-305. doi: 10.1080/07315724.1987.10720191.
- Jenkins DJ, Wolever TM, Wong GS, Kenshole A, Josse RG, Thompson LU, Lam KY. Glycemic responses to foods: possible differences between insulin-dependent and noninsulin-dependent diabetics. Am J Clin Nutr. 1984 Nov;40(5):971-81. doi: 10.1093/ajcn/40.5.971.
- Foster-Powell K, Holt SH, Brand-Miller JC. International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr. 2002 Jul;76(1):5-56. doi: 10.1093/ajcn/76.1.5.
- Wolever TM, Vorster HH, Bjorck I, Brand-Miller J, Brighenti F, Mann JI, Ramdath DD, Granfeldt Y, Holt S, Perry TL, Venter C, Xiaomei Wu. Determination of the glycaemic index of foods: interlaboratory study. Eur J Clin Nutr. 2003 Mar;57(3):475-82. doi: 10.1038/sj.ejcn.1601551.
- Wolever TM, Jenkins DJ. The use of the glycemic index in predicting the blood glucose response to mixed meals. Am J Clin Nutr. 1986 Jan;43(1):167-72. doi: 10.1093/ajcn/43.1.167.
- Vega-Lopez S, Ausman LM, Griffith JL, Lichtenstein AH. Interindividual variability and intra-individual reproducibility of glycemic index values for commercial white bread. Diabetes Care. 2007 Jun;30(6):1412-7. doi: 10.2337/dc06-1598. Epub 2007 Mar 23.
- Meng H, Matthan NR, Ausman LM, Lichtenstein AH. Effect of prior meal macronutrient composition on postprandial glycemic responses and glycemic index and glycemic load value determinations. Am J Clin Nutr. 2017 Nov;106(5):1246-1256. doi: 10.3945/ajcn.117.162727. Epub 2017 Sep 13.
- Meng H, Matthan NR, Ausman LM, Lichtenstein AH. Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations. Am J Clin Nutr. 2017 Apr;105(4):842-853. doi: 10.3945/ajcn.116.144162. Epub 2017 Feb 15.
- Matthan NR, Ausman LM, Meng H, Tighiouart H, Lichtenstein AH. Estimating the reliability of glycemic index values and potential sources of methodological and biological variability. Am J Clin Nutr. 2016 Oct;104(4):1004-1013. doi: 10.3945/ajcn.116.137208. Epub 2016 Sep 7.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- R01DK073321 (NIH)
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