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CompletedNCT00315354Updated Nov 23, 2016

Popular Diets Study

An interventional study of Low glycemic index diet and Low fat diet in Obesity and Insulin Resistance, sponsored by Boston Children's Hospital. Completed at 1 site in United States. Open to participants aged 18 Years to 40 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2016-11-23.

Sponsored by Boston Children's Hospital · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
24
Allocation
Randomized
Ages
18 Years to 40 Years
Sex
All
01

Study summary

The aim of this study is to evaluate the effects of three dominant dietary patterns - conventional low-fat, low-glycemic index (GI) and very-low-carbohydrate - on energy metabolism and heart disease risk factors following weight loss in obese young adults in a feeding study

Read the detailed description

For most of the last half century, reduction in fat intake has been the primary nutritional approach for the prevention and treatment of obesity and cardiovascular disease (CVD). Over the last few years, very low carbohydrate (Atkins-type) diets have achieved great popularity, with publication of several studies suggesting greater weight loss and improvements in CVD risk factors over 3 to 6 months. Recently, a third dietary approach focused on glycemic index (GI) has generated interest. However, few studies have compared the effects of these diets on body weight regulation and risk for CVD. The primary hypotheses of this study are that any diet that lowers the postprandial rise in blood glucose (very-low-carbohydrate or low-GI) will have beneficial effects on the physiological adaptations to weight loss and on some CVD risk factors. However, other CVD risk factors will be adversely affected by a very-low-carbohydrate vs. a low-GI diet. Preliminary data provide strong support for these hypotheses, by showing that resting energy expenditure declines less and CVD risk factors improve more with weight loss on a low-glycemic load diet compared to a conventional low-fat diet. This application proposes a cross-over feeding design to study the effects of three diets following 12.5% weight loss in obese young adult subjects (n = 24, age 18 to 40 years). The diets are: 1) conventional low-fat, with 60% carb, 20% fat, 20% protein; 2) low-GI with 40% carb, 40% fat, 20% protein; and 3) very-low-carbohydrate with 10% carb, 60% fat, 30% protein. The primary outcome is resting energy expenditure (indirect calorimetry). Secondary outcomes include total energy expenditure (doubly labeled water), thermic effect of food (indirect calorimetry), physical activity (accelerometry), insulin resistance and B-cell function (frequently-sampled OGTT), blood lipids, blood pressure and measures of systemic inflammation and coagulopathy. This study should have major public health implications to the millions of Americans currently following diets to decrease body weight and risk for heart disease.

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Conditions studied

  • Obesity
  • Insulin Resistance

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Keywords

  • obesity
  • nutrition
03

In context

Insulin Resistance

1,960 studies on the registry are indexed under Insulin Resistance; 306 are open to participants now.

This study's enrollment of 24 is below the median of 40 across 1,536 interventional studies indexed under Insulin Resistance.

Browse Insulin Resistance studies →

Lead sponsor

Boston Children's Hospital is the lead sponsor of 598 studies on the registry; 151 are open to participants now.

Of its 31 completed or terminated interventional studies of FDA-regulated products, 18 (58%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 40 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • BMI ≥ 27 kg/m2
  • Willing and able to come to the GCRC 5 days per week to consume a supervised meal and pick-up food for all other meals
  • Available for scheduled hospital admissions
  • Willing to abstain from alcohol consumption for the duration of the study
  • If female, regular menstrual cycles (defined as 26 to 30 days between cycles; no more than one day variation in the duration of menstrual flow)

Exclusion criteria

Exclusion Criteria:

  • Weight > 350 lbs
  • Change in body weight (± 10%) over preceding year
  • Taking any medications or dietary supplements that might affect body weight, appetite, or energy expenditure
  • Smoking (1 cigarette in the last week)
  • High levels of physical activity
  • Currently following a special diet
  • Abnormal laboratory screening tests
  • Type 2 diabetes mellitus
  • Allergies or aversions to foods on the study menu
  • Previous diagnosis of an eating disorder or any other mental health disorder
  • If female, pregnant in the past 12 months or planning to become pregnant during the study period
  • If female, lactating in the preceding 12 months
  • If taking birth control medication, change in medication in previous 3 months or plans to change medication during the study period
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
None (open label)
Enrollment
24 participants (actual)

Study arms

  • Experimental
    1

    Low glycemic index diet

    Other: Low glycemic index diet

  • Active comparator
    2

    Low fat diet

    Other: Low fat diet

  • Active comparator
    3

    Very low carbohydrate diet

    Other: Very low carbohydrate diet

Interventions

  • OtherLow glycemic index diet

    Feeding protocol, all foods prepared in a metabolic kitchen

  • OtherLow fat diet

    Feeding protocol, all foods prepared in a metabolic kitchen

  • OtherVery low carbohydrate diet

    Feeding protocol, all foods prepared in a metabolic kitchen

06

What researchers measure

Primary outcomes

  1. resting energy expenditure using indirect calorimetry in the fasting state

    Time frame: end of each dietary period

  2. insulin resistance assessed by frequently-sampled oral glucose tolerance test

    Time frame: end of each dietary period

  3. thyroid function tests

    Time frame: end of each dietary period

Secondary outcomes

  1. total energy expenditure using doubly labeled water methodology

    Time frame: end of each dietary period

  2. thermic effect of food using indirect calorimetry

    Time frame: end of each dietary period

  3. physical activity using accelerometry

    Time frame: end of each dietary period

  4. serum lipids

    Time frame: end of each dietary period

  5. plasminogen activator inhibitor-1

    Time frame: end of each dietary period

  6. C-reactive protein

    Time frame: end of each dietary period

  7. blood pressure

    Time frame: end of each dietary period

  8. hunger/appetite

    Time frame: end of each dietary period

  9. insulin 30 minutes after oral glucose (as an effect modifier)

    Time frame: baseline

  10. Core temperature

    Time frame: End of each dietary period

  11. secreted frizzle-related protein-4

    Time frame: end of each dietary period

  12. heme-oxygenase

    Time frame: end of each dietary period

  13. Irisin

    Time frame: end of each dietary period

  14. fibroblast growth factor-21

    Time frame: end of each dietary period

  15. chemerin

    Time frame: end of each dietary period

  16. trimethylamine N-oxide

    Time frame: fasting and postprandial, end of each dietary period

  17. alanine aminotransferase

    Time frame: end of each dietary period

  18. Uric acid

    Time frame: end of each dietary period

  19. insulin

    Time frame: fasting and postprandial, end of each dietary period

  20. ghrelin

    Time frame: fasting and postprandial, end of each dietary period

  21. gastric inhibitory peptide

    Time frame: fasting and postprandial, end of each dietary period

  22. GLP1

    Time frame: fasting and postprandial, end of each dietary period

  23. PYY

    Time frame: fasting and postprandial, end of each dietary period

  24. Amylin

    Time frame: fasting and postprandial, end of each dietary period

  25. Leptin

    Time frame: end of each dietary period

  26. Metabolomic analysis

    Evaluate the effect of diet on metabolomic profile in plasma, with the aim of assessing dietary adherence and exploring diet-disease mechanisms

    Time frame: end of each dietary period

07

Study locations

1 site
  • Children's Hospital Boston
    Boston, Massachusetts 02115, United States
08

References and documents

Publications

  • Walsh CO, Ebbeling CB, Swain JF, Markowitz RL, Feldman HA, Ludwig DS. Effects of diet composition on postprandial energy availability during weight loss maintenance. PLoS One. 2013;8(3):e58172. doi: 10.1371/journal.pone.0058172. Epub 2013 Mar 6. PubMed 23483989 ↗
  • Ebbeling CB, Swain JF, Feldman HA, Wong WW, Hachey DL, Garcia-Lago E, Ludwig DS. Effects of dietary composition on energy expenditure during weight-loss maintenance. JAMA. 2012 Jun 27;307(24):2627-34. doi: 10.1001/jama.2012.6607. PubMed 22735432 ↗
  • Hron BM, Ebbeling CB, Feldman HA, Ludwig DS. Hepatic, adipocyte, enteric and pancreatic hormones: response to dietary macronutrient composition and relationship with metabolism. Nutr Metab (Lond). 2017 Jul 5;14:44. doi: 10.1186/s12986-017-0198-y. eCollection 2017. PubMed 28694840 ↗
  • Esko T, Hirschhorn JN, Feldman HA, Hsu YH, Deik AA, Clish CB, Ebbeling CB, Ludwig DS. Metabolomic profiles as reliable biomarkers of dietary composition. Am J Clin Nutr. 2017 Mar;105(3):547-554. doi: 10.3945/ajcn.116.144428. Epub 2017 Jan 11. Erratum In: Am J Clin Nutr. 2022 Feb 9;115(2):601. doi: 10.1093/ajcn/nqac002. PubMed 28077380 ↗
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 23, 2016, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT00315354
Lead sponsor
Boston Children's Hospital
Collaborators
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Brigham and Women's Hospital
Responsible party
David S. Ludwig, MD, PhD (Professor, Boston Children's Hospital) — Principal investigator
First posted
Apr 18, 2006
Start date
Apr 2006
Primary completion
Jun 2010
Completion
Apr 2013
Last update
Nov 23, 2016

Study contacts

David S Ludwig, MD, PhD
principal investigator · Boston Children's Hospital
Cara B Ebbeling, PhD
study director · Boston Children's Hospital
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Nov 2016. You cannot join it, but the record below documents what was studied.

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