Glycemic Index - Variability Among Individuals
Evaluation of Glycemic Index to Assess Diet Associated Chronic Disease Risk
1 other identifier
interventional
124
1 country
1
Brief Summary
The purpose of this study is to determine the variability in glycemic index determinations for individual foods and food combinations. The study will also evaluate the changes in insulin and free fatty acid levels, plasma lipid and lipoprotein profiles, C-reactive protein-a marker of inflammation and glycosylated hemoglobin- a marker of glucose metabolism during a five-hour period after eating the food or foods. Additionally, supplementary data on variation in oral sensation, habitual food intake, food preferences and genes mediating sensory perception and dietary behaviors (supported by a grant from the Tufts Ross Aging Initiative) will be related to the outcomes on the present study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable diabetes
Started Dec 2007
Longer than P75 for not_applicable diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2007
CompletedFirst Submitted
Initial submission to the registry
November 30, 2009
CompletedFirst Posted
Study publicly available on registry
December 2, 2009
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2016
CompletedApril 25, 2017
April 1, 2017
7.9 years
November 30, 2009
April 24, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Glucose, Insulin, Free Fatty Acids.
5 hours
Secondary Outcomes (1)
Fasting and non-fasting plasma lipids and lipoproteins, C reactive protein (CRP), HbAIc.
5 hours
Study Arms (4)
carbohydrate load
OTHERFood challenge - Carbohydrate load
Carbohydrate + Protein
OTHERFood challenge - carbohydrate + protein
Carbohydrate + Fat
OTHERFood challenge - carbohydrate + fat
Fiber
OTHERFood challenge - carbohydrate + fiber
Interventions
Eligibility Criteria
You may qualify if:
- 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.
You may not qualify if:
- 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.
- +8 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University
Boston, Massachusetts, 02111, United States
Related Publications (16)
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.
PMID: 11368702BACKGROUNDJenkins 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.
PMID: 6259925BACKGROUNDSalmeron 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.
PMID: 9020271BACKGROUNDSalmeron 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.
PMID: 9096978BACKGROUNDAmano 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.
PMID: 15127092BACKGROUNDSchulze 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.
PMID: 15277155BACKGROUNDWolever 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.
PMID: 2760355BACKGROUNDWolever 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.
PMID: 3611527BACKGROUNDJenkins 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.
PMID: 6496392BACKGROUNDFoster-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.
PMID: 12081815BACKGROUNDWolever 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.
PMID: 12627186BACKGROUNDWolever 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.
PMID: 3942088BACKGROUNDVega-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.
PMID: 17384339BACKGROUNDMeng 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.
PMID: 28903959DERIVEDMeng 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.
PMID: 28202475DERIVEDMatthan 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.
PMID: 27604773DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alice H Lichtenstein, D.Sc.
JM USDA Human Nutrition Research Center on Aging at Tufts University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 30, 2009
First Posted
December 2, 2009
Study Start
December 1, 2007
Primary Completion
November 1, 2015
Study Completion
December 1, 2016
Last Updated
April 25, 2017
Record last verified: 2017-04