Diabetes Mellitus, Type 1 Clinical Trial
— T1DOfficial title:
Physicians Committee for Responsible Medicine - A Randomized, Controlled Study of the Effect of a Low-fat, Plant-based Diet on Insulin Requirements in Individuals With Type 1 Diabetes
| Verified date | February 2024 |
| Source | Physicians Committee for Responsible Medicine |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
The purpose of this study is to compare the effects of a low-fat, plant-based dietary intervention and a portion-controlled dietary intervention (compliant with current American Diabetes Association (ADA) guidelines) on the management of type 1 diabetes in adults. The primary outcome measure of this study is insulin requirements (measured as the total daily dose (TDD) of insulin or basal and bolus insulin units injected per day). The study duration is 12 weeks.
| Status | Completed |
| Enrollment | 35 |
| Est. completion date | November 9, 2022 |
| Est. primary completion date | November 9, 2022 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | Inclusion criteria: 1. Type 1 diabetes 2. Men and women = 18 years of age 3. Stable insulin regimen for past 3 months Exclusion criteria: 1. Type 2 or gestational diabetes 2. Body mass index = 40 kg/m2 3. HbA1c = 12.0% 4. Smoking or drug abuse during the past six months 5. Alcohol consumption of more than 2 drinks per day or the equivalent, episodic increased drinking (e.g., more than 2 drinks per day on weekends), or a history of alcohol abuse or dependency followed by any current use 6. Unstable medical or psychiatric illness 7. Already following a low-fat vegan diet 8. Pregnant or breastfeeding, or plans of pregnancy within the study period 9. Lack of English fluency 10. Unable or unwilling to participate in all components of the study 11. Evidence of an eating disorder |
| Country | Name | City | State |
|---|---|---|---|
| United States | Physicians Committee for Responsible Medicine | Washington | District of Columbia |
| Lead Sponsor | Collaborator |
|---|---|
| Physicians Committee for Responsible Medicine |
United States,
American Diabetes Association. Standards of Medical Care in Diabetes-2018 Abridged for Primary Care Providers. Clin Diabetes. 2018 Jan;36(1):14-37. doi: 10.2337/cd17-0119. No abstract available. — View Citation
American Dietetic Association; Dietitians of Canada. Position of the American Dietetic Association and Dietitians of Canada: Vegetarian diets. J Am Diet Assoc. 2003 Jun;103(6):748-65. doi: 10.1053/jada.2003.50142. — View Citation
Anderson JW, Zeigler JA, Deakins DA, Floore TL, Dillon DW, Wood CL, Oeltgen PR, Whitley RJ. Metabolic effects of high-carbohydrate, high-fiber diets for insulin-dependent diabetic individuals. Am J Clin Nutr. 1991 Nov;54(5):936-43. doi: 10.1093/ajcn/54.5.936. — View Citation
Barnard N, Scialli AR, Bertron P, Hurlock D, Edmonds K. Acceptability of a Therapeutic Low-Fat, Vegan Diet in Premenopausal Women. J Nutr Educ. 2000;32(6):314-319. doi:10.1016/S0022-3182(00)70590-5
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Kahleova H, Mari A, Nofrate V, Matoulek M, Kazdova L, Hill M, Pelikanova T. Improvement in beta-cell function after diet-induced weight loss is associated with decrease in pancreatic polypeptide in subjects with type 2 diabetes. J Diabetes Complications. 2012 Sep-Oct;26(5):442-9. doi: 10.1016/j.jdiacomp.2012.05.003. Epub 2012 Jun 4. — View Citation
Mari A, Tura A, Gastaldelli A, Ferrannini E. Assessing insulin secretion by modeling in multiple-meal tests: role of potentiation. Diabetes. 2002 Feb;51 Suppl 1:S221-6. doi: 10.2337/diabetes.51.2007.s221. — View Citation
Pastors JG, Franz MJ, Warshaw H, Daly A, Arnold MS. How effective is medical nutrition therapy in diabetes care? J Am Diet Assoc. 2003 Jul;103(7):827-31. doi: 10.1016/s0002-8223(03)00466-8. No abstract available. — View Citation
Riccardi G, Rivellese AA, Giacco R. Role of glycemic index and glycemic load in the healthy state, in prediabetes, and in diabetes. Am J Clin Nutr. 2008 Jan;87(1):269S-274S. doi: 10.1093/ajcn/87.1.269S. — View Citation
* Note: There are 11 references in all — Click here to view all references
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Other | Medication Use | Participants will be asked to report changes in their medication use. | Change from week 0 to week 12 | |
| Other | Diet Quality | Dietary intake will be assessed using 3-day dietary records. Participants will be instructed to record all dietary intake for 3 consecutive days, including 2 weekdays and 1 weekend day. Records will be analyzed using Nutrition Data System for Research software version 2018, developed by the Nutrition Coordinating Center (NCC), University of Minnesota, Minneapolis, MN, US. | Change from week 0 to week 12 | |
| Other | Diet Acceptability | The Food Acceptability Questionnaire (FAQ), a self-reported measure, will be implemented to assess the subjective responses (palatability; satisfaction; ease of preparation; financial feasibility; and perceived physical benefits) of participants to their baseline diets and the intervention diet. The FAQ has twelve (12) total questions. Eleven (11) of the questions are scored on a Likert scale (1-7) and one (1) unscored question (physical benefits) will prompt the participant to "check all that apply." A higher FAQ score corresponds with a more positive subjective response. | Change from week 0 to week 12 | |
| Primary | Total Insulin Dose | A sum of basal and bolus insulin units (U) injected per day. An average from three (3) days (two (2) workdays and one (1) weekend day) will be utilized. | Change from week 0 to week 12 | |
| Primary | Glycemic Control | Hemoglobin A1c (HbA1c), an index of glycemic control, will be utilized. | Change from week 0 to week 12 | |
| Primary | Glycemic Variability | Glycemic variability will be assessed through use of a continuous glucose monitoring (CGM) system that will measure the concentration of glucose in the interstitial fluid. Participants will be instructed to wear a CGM (Dexcom g6 Platinum CGM System with an enhanced algorithm, software 505, Dexcom, Inc.) and record its readings at preset increments (after an overnight fast, before each meal, 2 hours after each meal, and before going to bed) daily. Participants will be prompted to submit CGM data to investigators on a weekly basis. | Change from week 0 to week 12 | |
| Primary | 24-hour Carbohydrate to Insulin Ratio | Calculated as the total number of grams (g) of dietary carbohydrate to total units (U) of insulin administered. | Change from week 0 to week 12 | |
| Secondary | Body Weight | Change in body weight measured on a calibrated scale. | Change from week 0 to week 12 | |
| Secondary | Concentration of Plasma Lipids | Change in plasma cholesterol & triglycerides. | Change from week 0 to week 12 | |
| Secondary | High-sensitivity C-reactive Protein (hs-CRP) | Implemented as a biomarker for absolute cardiovascular disease risk prediction. | Change from week 0 to week 12 | |
| Secondary | Tumor necrosis factor - a (TNF-a) | Implemented to assess levels of systemic inflammation. | Change from week 0 to week 12 | |
| Secondary | Interleukin (IL) - 1 (IL-1) and interleukin-6 (IL-6) | Implemented to assess levels of systemic inflammation. | Change from week 0 to week 12 |
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