Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
89 participants
INTERVENTIONAL
2006-06-30
2010-07-31
Brief Summary
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Detailed Description
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Samples of blood will be collected after an overnight fast at the beginning and the end of each feeding period. All urine will be collected for 24 hours at the end of each feeding period. A number of questionnaires will also be completed during each diet period. A small stool sample will be collected in your own home, before the first feeding period, and once during each feeding period. The stool sample collection is optional. One can decide not to provide a stool sample and still participate in the study.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
PREVENTION
DOUBLE
Study Groups
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1
Normal weight
Low Glycemic Load Diet
consume both high and low glycemic load diets for 28 days each
High Glycemic Load Diet
consume both high and low glycemic load diets for 28 days each
2
Overweight
Low Glycemic Load Diet
consume both high and low glycemic load diets for 28 days each
High Glycemic Load Diet
consume both high and low glycemic load diets for 28 days each
Interventions
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Low Glycemic Load Diet
consume both high and low glycemic load diets for 28 days each
High Glycemic Load Diet
consume both high and low glycemic load diets for 28 days each
Eligibility Criteria
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Inclusion Criteria
2. Between the ages of 18 to 45
3. BMI between 18.5 kg/m2 to 24. 9 kg/m2 (normal weight) and between 28.0 kg/m2 to 39.9 kg/m2 (overweight)
4. Willingness to refrain from alcohol during the study
5. Able to come to the FHCRC in Seattle every weekday night for dinner
Exclusion Criteria
2. Do not fit into one of the study weight groups (normal weight and overweight): BMI \< 18.5 kg/m2 or \> 40.0 kg/m2, and between 25.0 kg/m2and 27.9 kg/m2
3. Have diseases that are treated by diet and/or medications including but not limited to diabetes, kidney disease, heart disease
4. Taking prescription medications every day (this includes women taking birth-control pills, shots, patch or IUD with hormones)
5. Diagnosed with or treated for cancer within the previous five years (except those with a diagnosis and/or treatment of non-melanomatous skin cancer are eligible)
6. Currently pregnant or breastfeeding or planning a pregnancy in the next 3 months.
7. Using any tobacco products on a daily basis (cigarettes, pipes, cigars, chewing tobacco).
8. Using recreational drugs
9. Drinking the following amount of alcohol almost every day: 2 or more cans/bottles of beer OR 2 or more glasses of wine OR 3 or more ounces of hard liquor.
10. Inability (e.g., food allergy or intolerances) or unwillingness to consume the foods that are part of the feeding study diet.
18 Years
45 Years
ALL
Yes
Sponsors
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National Cancer Institute (NCI)
NIH
Fred Hutchinson Cancer Center
OTHER
Responsible Party
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Fred Hutchinson Cancer Research Center
Principal Investigators
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Marian Neuhouser, RD, PhD
Role: PRINCIPAL_INVESTIGATOR
Fred Hutchinson Cancer Center
Locations
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Fred Hutchinson Cancer Research Center
Seattle, Washington, United States
Countries
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References
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Hullar MA, Kahsai O, Curtis KR, Navarro SL, Zhang Y, Randolph TW, Levy L, Shojaie A, Kratz M, Neuhouser ML, Lampe PD, Raftery D, Lampe JW. Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study. Am J Clin Nutr. 2025 Sep;122(3):780-792. doi: 10.1016/j.ajcnut.2025.06.026. Epub 2025 Jul 5.
Dibay Moghadam S, Navarro SL, Shojaie A, Randolph TW, Bettcher LF, Le CB, Hullar MA, Kratz M, Neuhouser ML, Lampe PD, Raftery D, Lampe JW. Plasma lipidomic profiles after a low and high glycemic load dietary pattern in a randomized controlled crossover feeding study. Metabolomics. 2020 Nov 20;16(12):121. doi: 10.1007/s11306-020-01746-3.
Navarro SL, Tarkhan A, Shojaie A, Randolph TW, Gu H, Djukovic D, Osterbauer KJ, Hullar MA, Kratz M, Neuhouser ML, Lampe PD, Raftery D, Lampe JW. Plasma metabolomics profiles suggest beneficial effects of a low-glycemic load dietary pattern on inflammation and energy metabolism. Am J Clin Nutr. 2019 Oct 1;110(4):984-992. doi: 10.1093/ajcn/nqz169.
Ginos BNR, Navarro SL, Schwarz Y, Gu H, Wang D, Randolph TW, Shojaie A, Hullar MAJ, Lampe PD, Kratz M, Neuhouser ML, Raftery D, Lampe JW. Circulating bile acids in healthy adults respond differently to a dietary pattern characterized by whole grains, legumes and fruits and vegetables compared to a diet high in refined grains and added sugars: A randomized, controlled, crossover feeding study. Metabolism. 2018 Jun;83:197-204. doi: 10.1016/j.metabol.2018.02.006. Epub 2018 Feb 17.
Breymeyer KL, Lampe JW, McGregor BA, Neuhouser ML. Subjective mood and energy levels of healthy weight and overweight/obese healthy adults on high-and low-glycemic load experimental diets. Appetite. 2016 Dec 1;107:253-259. doi: 10.1016/j.appet.2016.08.008. Epub 2016 Aug 6.
Barton S, Navarro SL, Buas MF, Schwarz Y, Gu H, Djukovic D, Raftery D, Kratz M, Neuhouser ML, Lampe JW. Targeted plasma metabolome response to variations in dietary glycemic load in a randomized, controlled, crossover feeding trial in healthy adults. Food Funct. 2015 Sep;6(9):2949-56. doi: 10.1039/c5fo00287g.
Runchey SS, Pollak MN, Valsta LM, Coronado GD, Schwarz Y, Breymeyer KL, Wang C, Wang CY, Lampe JW, Neuhouser ML. Glycemic load effect on fasting and post-prandial serum glucose, insulin, IGF-1 and IGFBP-3 in a randomized, controlled feeding study. Eur J Clin Nutr. 2012 Oct;66(10):1146-52. doi: 10.1038/ejcn.2012.107. Epub 2012 Aug 15.
Chang KT, Lampe JW, Schwarz Y, Breymeyer KL, Noar KA, Song X, Neuhouser ML. Low glycemic load experimental diet more satiating than high glycemic load diet. Nutr Cancer. 2012;64(5):666-73. doi: 10.1080/01635581.2012.676143. Epub 2012 May 7.
Neuhouser ML, Schwarz Y, Wang C, Breymeyer K, Coronado G, Wang CY, Noar K, Song X, Lampe JW. A low-glycemic load diet reduces serum C-reactive protein and modestly increases adiponectin in overweight and obese adults. J Nutr. 2012 Feb;142(2):369-74. doi: 10.3945/jn.111.149807. Epub 2011 Dec 21.
Other Identifiers
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NIH/NCI U54 CA 116847
Identifier Type: -
Identifier Source: secondary_id
IR 6105
Identifier Type: -
Identifier Source: secondary_id
PHS 2059.00
Identifier Type: -
Identifier Source: org_study_id
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