Cardiovascular Diseases Clinical Trial
Official title:
The Impact of Consumption of Eggs in the Context of Plant-Based Diets on
NCT number | NCT04316429 |
Other study ID # | 2019-09 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | June 9, 2020 |
Est. completion date | June 1, 2021 |
Verified date | August 2021 |
Source | Griffin Hospital |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Purpose To assess the impact of inclusion of 2 eggs daily for 6 weeks in an otherwise vegan diet compared to a vegan diet on cardio-metabolic risk and dietary pattern in adults at risk for type 2 diabetes. Hypotheses In comparison with a vegan diet, the inclusion of 2 eggs daily in an otherwise vegan diet will improve or have neutral effects on endothelial function and other markers of cardio-metabolic risk in adults at risk for type 2 diabetes. (2) In comparison with a vegan diet, the inclusion of 2 eggs daily in an otherwise vegan diet will improve diet quality and nutrient intake in adults at risk for type 2 diabetes. (2) In comparison with a vegan diet, the inclusion of 2 eggs daily in an otherwise vegan diet will improve diet quality and nutrient intake in adults at risk for type 2 diabetes.
Status | Completed |
Enrollment | 35 |
Est. completion date | June 1, 2021 |
Est. primary completion date | December 22, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 25 Years to 75 Years |
Eligibility | Inclusion Criteria: - 1) Male, 25-75 years or postmenopausal female 2) Non-smoker; 3) At risk for T2DM as defined by meeting at least one of the criteria listed: 1. Metabolic syndrome, i.e. meet three out of five of the following criteria: 1. blood pressure >130/85 mmHg or currently taking antihypertensive medication; 2. fasting plasma glucose (FPG) >100 mg/dL (6.1 mmol/L); 3. serum triglycerides level (TG)>150 mg/dL (1.69 mmol/L); 4. high-density lipoprotein (HDL) cholesterol < 40 mg/dL (1.04 mmol/L) in men, and < 50 mg/dL (1.29 mmol/L) in women; 5. overweight (BMI =25kg/m²) with waist circumference of more than 40 inches (102 cm) for men and more than 35 inches (88 cm) for women. 2. Fasting blood glucose >100mg/dL and <126mg/dL or hemoglobin A1C 5.7-6.4 %. Exclusion Criteria: - 1) Allergy to eggs; 2) Anticipated inability to complete the study protocol for any reason; 3) Current eating disorder; 4) Unstable use of lipid-lowering or antihypertensive medications (i.e., change in dose during the three months prior to enrollment) and/or unwilling to refrain from taking medication for 12 hours prior to endothelial function scanning; 5) Regular use of high doses of vitamin E (>400IU/day) or vitamin C (>500mg/day); fish oil, flaxseed oil, omega-3 fatty acid and/or fiber supplement, unless willing to discontinue supplementation for the study duration; 6) Use of insulin, glucose-sensitizing medication, or vasoactive medication (including glucocorticoids, antineoplastic agents, some psychoactive agents, or bronchodilators); 7) Unstable use of antidepressant medications (i.e., change in dose during the three months prior to enrollment; 8) Diagnosed diabetes; 9) Diagnosed sleep apnea; unless treated and have been stable with their medications for at least 3 months 10) Established cardiovascular disease (including symptomatic coronary artery disease (CAD), myocardial infarction, peripheral vascular disease, congestive heart failure, carotid stenosis); 11) Coagulopathy, known bleeding diathesis, or history of clinically significant hemorrhage; current use of warfarin or other regular use of anticoagulation; 12) Substance abuse (chronic alcoholism, other chemical dependency); 13) Any unstable medical condition that would limit the ability of a subject to participate fully in the trial (e.g., cancer, AIDS, tuberculosis, psychotic disorder); 14) For women: Use of hormone replacement therapy |
Country | Name | City | State |
---|---|---|---|
United States | Yale-Griffin Prevention Research Center | Derby | Connecticut |
Lead Sponsor | Collaborator |
---|---|
Griffin Hospital |
United States,
Ackermann RT. Diabetes Prevention at the Tipping Point: Aligning Clinical and Public Health Recommendations. Ann Intern Med. 2015 Sep 15;163(6):475-6. doi: 10.7326/M15-1563. — View Citation
American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013 Apr;36(4):1033-46. doi: 10.2337/dc12-2625. Epub 2013 Mar 6. — View Citation
Balk EM, Earley A, Raman G, Avendano EA, Pittas AG, Remington PL. Combined Diet and Physical Activity Promotion Programs to Prevent Type 2 Diabetes Among Persons at Increased Risk: A Systematic Review for the Community Preventive Services Task Force. Ann Intern Med. 2015 Sep 15;163(6):437-51. doi: 10.7326/M15-0452. Review. — View Citation
Becerra-Tomás N, Díaz-López A, Rosique-Esteban N, Ros E, Buil-Cosiales P, Corella D, Estruch R, Fitó M, Serra-Majem L, Arós F, Lamuela-Raventós RM, Fiol M, Santos-Lozano JM, Díez-Espino J, Portoles O, Salas-Salvadó J; PREDIMED Study Investigators. Legume consumption is inversely associated with type 2 diabetes incidence in adults: A prospective assessment from the PREDIMED study. Clin Nutr. 2018 Jun;37(3):906-913. doi: 10.1016/j.clnu.2017.03.015. Epub 2017 Mar 24. — View Citation
Bitzur R, Cohen H, Kamari Y, Shaish A, Harats D. Triglycerides and HDL cholesterol: stars or second leads in diabetes? Diabetes Care. 2009 Nov;32 Suppl 2:S373-7. doi: 10.2337/dc09-S343. Review. — View Citation
Blair SN, Haskell WL, Ho P, Paffenbarger RS Jr, Vranizan KM, Farquhar JW, Wood PD. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. Am J Epidemiol. 1985 Nov;122(5):794-804. — View Citation
Centers for Disease Control and Prevention. Available from: http://www.cdc.gov/diabetes/basics/prevention.html . Accessed 05/16/2019
Centers for Disease Control and Prevention. National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States, 2011. Available from: http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf . Accessed 05/16/2019
Centers for Disease Control and Prevention. National Diabetes Statistics Report 2017. https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf
Corretti MC, Anderson TJ, Benjamin EJ, Celermajer D, Charbonneau F, Creager MA, Deanfield J, Drexler H, Gerhard-Herman M, Herrington D, Vallance P, Vita J, Vogel R; International Brachial Artery Reactivity Task Force. Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery: a report of the International Brachial Artery Reactivity Task Force. J Am Coll Cardiol. 2002 Jan 16;39(2):257-65. Erratum in: J Am Coll Cardiol 2002 Mar 20;39(6):1082. — View Citation
Deurenberg P, Andreoli A, Borg P, Kukkonen-Harjula K, de Lorenzo A, van Marken Lichtenbelt WD, Testolin G, Vigano R, Vollaard N. The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr. 2001 Nov;55(11):973-9. — View Citation
Diabetes Prevention Program Research Group, Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, Brenneman AT, Brown-Friday JO, Goldberg R, Venditti E, Nathan DM. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet. 2009 Nov 14;374(9702):1677-86. doi: 10.1016/S0140-6736(09)61457-4. Epub 2009 Oct 29. Erratum in: Lancet. 2009 Dec 19;374(9707):2054. — View Citation
Dunn AL, Marcus BH, Kampert JB, Garcia ME, Kohl HW 3rd, Blair SN. Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness: a randomized trial. JAMA. 1999 Jan 27;281(4):327-34. — View Citation
Esfahani A, Wong JM, Mirrahimi A, Srichaikul K, Jenkins DJ, Kendall CW. The glycemic index: physiological significance. J Am Coll Nutr. 2009 Aug;28 Suppl:439S-445S. Review. — View Citation
Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 Feb 7;346(6):393-403. — View Citation
Ludwig DS. The glycemic index: physiological mechanisms relating to obesity, diabetes, and cardiovascular disease. JAMA. 2002 May 8;287(18):2414-23. Review. — View Citation
National Institutes of Health, Digestive and Kidney Diseases. Digestive and Kidney Diseases. Available from: https://www.niddk.nih.gov/health-information/diabetes/types/prediabetes-insulin-resistance . Accessed 05/16/2019
National Institutes of Health, Digestive and Kidney Diseases. Statistics Related to Overweight and Obesity: The Economic Costs. Available from: www.niddk.nih.gov/health/nutrit/pubs/statobes.htm#econ . Accessed 05/16/2019
Njike VY, Ayettey R, Petraro P, Treu JA, Katz DL. Walnut ingestion in adults at risk for diabetes: effects on body composition, diet quality, and cardiac risk measures. BMJ Open Diabetes Res Care. 2015 Oct 19;3(1):e000115. doi: 10.1136/bmjdrc-2015-000115. eCollection 2015. — View Citation
Njike VY, Ayettey RG, Rajebi H, Treu JA, Katz DL. Egg ingestion in adults with type 2 diabetes: effects on glycemic control, anthropometry, and diet quality-a randomized, controlled, crossover trial. BMJ Open Diabetes Res Care. 2016 Dec 22;4(1):e000281. doi: 10.1136/bmjdrc-2016-000281. eCollection 2016. — View Citation
Pronk NP. Structured diet and physical activity programmes provide strong evidence of effectiveness for type 2 diabetes prevention and improvement of cardiometabolic health. Evid Based Med. 2016 Feb;21(1):18. doi: 10.1136/ebmed-2015-110292. Epub 2015 Oct 22. — View Citation
Reusch JE, Wang CC. Cardiovascular disease in diabetes: where does glucose fit in? J Clin Endocrinol Metab. 2011 Aug;96(8):2367-76. doi: 10.1210/jc.2010-3011. Epub 2011 May 18. Review. — View Citation
Sallis JF, Haskell WL, Wood PD, Fortmann SP, Rogers T, Blair SN, Paffenbarger RS Jr. Physical activity assessment methodology in the Five-City Project. Am J Epidemiol. 1985 Jan;121(1):91-106. — View Citation
Satija A, Bhupathiraju SN, Rimm EB, Spiegelman D, Chiuve SE, Borgi L, Willett WC, Manson JE, Sun Q, Hu FB. Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes in US Men and Women: Results from Three Prospective Cohort Studies. PLoS Med. 2016 Jun 14;13(6):e1002039. doi: 10.1371/journal.pmed.1002039. eCollection 2016 Jun. — View Citation
Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H, Ilanne-Parikka P, Keinänen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M; Finnish Diabetes Prevention Study Group. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2001 May 3;344(18):1343-50. — View Citation
United States Department of Agriculture (USDA). USDA Food Patterns: Healthy Vegetarian Eating Pattern. 2015; Available from: https://health.gov/dietaryguidelines/2015/guidelines/appendix-5 . Accessed 08/15/2019
Wallin A, Forouhi NG, Wolk A, Larsson SC. Egg consumption and risk of type 2 diabetes: a prospective study and dose-response meta-analysis. Diabetologia. 2016 Jun;59(6):1204-13. doi: 10.1007/s00125-016-3923-6. Epub 2016 Mar 18. — View Citation
* Note: There are 27 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in Endothelial Function (EF) Assessment: | EF will be assessed at each of the 4 study visits and will be measured noninvasively in the right brachial artery by a high-frequency, 10-15 MHz, vascular ultrasound transducer (Philips iU22, Philips Medical Systems, Bothell, WA) in accordance with published guidelines. Endothelial function will be measured as Flow-mediated dilatation (FMD), that is the percent change in brachial artery diameter from pre-cuff inflation to 60-seconds post-cuff release. In addition to brachial diameter at 60 seconds post-cuff release, flow after cuff deflation within the first 15 seconds will be used as an indicator of stimulus strength, hyperemic flow being the stimulus for endothelial reactivity. To account for potential variability in stimulus strength, a secondary analysis will be performed in which FMD is divided by flow at 15 seconds post-cuff deflation to create a stimulus-adjusted response measure. All brachial artery reactivity studies (BARS) will be completed prior to noon. | 20 weeks | |
Secondary | Change in Diet quality: Automated Self-Administered 24-Hour Recall (ASA24) | To assess differences in diet quality and help the study team track any variation in dietary pattern over the course of the study, participants will be asked at each of the 4 assessment visits to provide information on the foods and beverages that they consumed during a 3-day period (i.e., 2 weekdays and 1 weekend day). For each 3-day period, participants will complete 3 consecutive 24-hour recalls using a web-based Automated Self-Administered 24-Hour Recall (ASA24) (available from the National Cancer Institute at http://riskfactor.cancer.gov/tools/instruments/asa24/ ), which will guide them through the process of completing the recall data, and these data will be reviewed by the study dietitian. Diet quality based on the information provided will be assessed using the Alternative Healthy Eating Index 2015 (AHEI-2015). Intake of micro and macronutrients will also be assessed. | 20 weeks | |
Secondary | Change in Serum Lipids | Blood samples will be collected at the clinical screening and at each of the 4 study visits. Values of total cholesterol (Tchol), triglycerides (TG), and high-density lipoprotein (HDL) will be obtained by direct measurements from the participants' serum of their collected blood samples. Serum low-density lipoprotein (LDL) will be calculated using the following formula LDL = Tchol - (TG/5 + HDL). HDL:Tchol ratio will also be computed. | 20 weeks | |
Secondary | Change in Body composition | Body composition will be measured at the clinical screening and at each of the 4 study visits using bioelectrical impedance analysis, which uses the resistance of electrical flow through the body to estimate body fat. TheTanita SC-240 Body Composition Analyzer will be used to measure body composition. The SC-240 Body Composition Analyzer measures weight and calculates body fat%, visceral fat rating and total body water% in addition to BMI. In a multicenter European study by Deurenberg et al. [23] with adults between the ages of 18 and 70 years, the use of an impedance-based prediction equation for body fat percentage (which is the basis for the Tanita SC-240 Body Composition Analyzer function) when compared to either dual-energy X-ray absorptiometry (DXA) or densitometry (underwater weighing) - two current standards used to measure body composition - was found to provide good estimates of body fat percentage. | 20 weeks | |
Secondary | Change in Body weight | Body weight will be measured at clinical screening and at each of the 4 study visits Body weight will be measured to the nearest 0.5 pound using a balance-type medical scale. Subjects will be measured in the morning (fasting), unclothed with the exception of undergarments. | 20 weeks | |
Secondary | Waist circumference | Waist circumference will be measured at clinical screening and at each of the 4 study visits using the U.S. government standard protocol at each visit. To measure the waist circumference, the clinical research coordinator will ask the participant to stand and will place a measurement tape around the participant's middle, just above her/his hipbones, at the level of the belly button. The clinical research coordinator will ensure that the tape is horizontal around the participant's waist, and will then keep the tape snug around the participant's waist while not compressing the skin, and will measure her/his waist just after exhaling. | 20 weeks | |
Secondary | Insulin Sensitivity | Glucose and insulin will be measured from serum of the blood samples collected at clinical screening (glucose only) and each of the 4 study visits. Participants will be instructed to fast at least 8 hours before glucose and insulin blood draw. To assess insulin sensitivity, insulin resistance (HOMA-IR) will be calculated using values of the participants fasting glucose and insulin. | 20 weeks | |
Secondary | Office Blood Pressure | Systolic and diastolic BP will be measured at the clinical screening and at each of the 4 study visits using a Dinamap Monitor Pro 100 (GE Healthcare, Piscataway, NJ) after sitting for 5 minutes. Both systolic and diastolic pressures will be calculated as the mean value of 2 readings 5 minutes apart for each participant at every time point of assessment. | 20 weeks | |
Secondary | Change in Physical Activity | Physical activity will be determined by the Seven-Day Physical Activity Recall [PAR]. [23] The PAR is one of the most widely used physical activity assessments in exercise science and epidemiological research. The popularity of this measure stems largely from its versatility and relative ease of use for research applications. The PAR provides detail regarding the duration, intensity, and volume (energy expenditure) of physical activity and can therefore be used for a variety of applications. Because it utilizes a one-week time frame, the data from the PAR is often considered representative of typical activity patterns. [24, 25] While it requires considerable cognitive effort by the participants, the interviewer administered version can be completed in a reasonable amount of time (~20 minutes) | 20 weeks |
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