Feasibility & Implementation of a Plant-Based Weight-Loss Program in an Office-Based Setting
The Feasibility, Implementation and Efficacy of a Plant-Based Weight-Loss Program in a Practice-Based Setting
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
District of Columbia
-
Washington D.C., District of Columbia, United States, 20016
- Barnard Medical Center
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Men and women age ≥18 years of age
Exclusion Criteria:
- Use of recreational drugs in the past 6 months
- Pregnancy or intention to become pregnant during the study period, as verified by self-report
- Unstable medical or psychiatric illness
- Lack of English fluency
- Inability to maintain current medication regimen
- Inability or unwillingness to participate in all components of the study
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: Low-fat plant-based diet
For 12 weeks, participants will follow a diet comprised of whole grains, vegetables, legumes, and fruits, with no restriction on energy intake.
Animal products and added oils will be excluded.
Except for light refreshments and tastings at the group sessions, no meals will be provided.
Participants will handle their own food preparation and purchases, with guidance from the education team, with no restriction on energy intake.
|
Participants will follow a diet that consists of whole grains, vegetables, legumes, and fruits, with no restriction on energy intake.
Animal products and added oils will be excluded.
Except for light refreshments and tastings at the group sessions, no meals will be provided.
Participants will handle their own food preparation and purchases, with guidance from the education team, with no restriction on energy intake.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Weight loss
Time Frame: Change from baseline to 12 weeks
|
With participants wearing light, indoor clothing but without shoes, body weight will be measured to the nearest 0.1 kg, using a digital scale.
Body weight will also be assessed at each weekly session, but only data from the week 1 (pre-program) and week 12 (post-program) will be included in the analysis.
|
Change from baseline to 12 weeks
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Blood pressure
Time Frame: Change from baseline to 12 weeks
|
Blood pressure will be measured using an automated oscillometric device.
|
Change from baseline to 12 weeks
|
|
Plasma cholesterol and triacylglycerol concentrations
Time Frame: Change from baseline to 12 weeks
|
Will be measured using standard methods.
|
Change from baseline to 12 weeks
|
|
hemoglobin A1c
Time Frame: Change from baseline to 12 weeks
|
will be measured using standard methods.
|
Change from baseline to 12 weeks
|
|
Body Composition
Time Frame: Change from baseline to 12 weeks
|
Body composition will be measured by dual energy x-ray absorptometry (Lunar iDXA, GE Healthcare; Madison, WI) with Encore® 2005 v.9.15.010 software.
The iDXA can measure body composition with low x-ray exposure and short scanning time.
The iDXA unit will be calibrated daily using the GE Lunar calibration phantom, and a trained operator will perform all scans following standard protocol for participant positioning.
The iDXA is equipped with the CoreScan module (GE Healthcare, Madison, WI), which can also provide an estimate of visceral adipose tissue volume and mass.
|
Change from baseline to 12 weeks
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Vanita J Rahman, MD, Physicians Committee for Responsible Medicine
Publications and helpful links
General Publications
- Tonstad S, Butler T, Yan R, Fraser GE. Type of vegetarian diet, body weight, and prevalence of type 2 diabetes. Diabetes Care. 2009 May;32(5):791-6. doi: 10.2337/dc08-1886. Epub 2009 Apr 7.
- Barnard ND, Levin SM, Yokoyama Y. A systematic review and meta-analysis of changes in body weight in clinical trials of vegetarian diets. J Acad Nutr Diet. 2015 Jun;115(6):954-69. doi: 10.1016/j.jand.2014.11.016. Epub 2015 Jan 22.
- Barnard N, Scherwitz L, Ornish D. Adherence and acceptability of a lowfat vegetarian diet among patients with cardiac disease. J Cardiopulmonary Rehabil 1992;12:423-31
- Barnard N, Scialli A, Bertron P, Hurlock D, Edmonds K. Acceptability of a therapeutic low-fat, vegan diet in premenopausal women. J Nutr Educ 2000;32:314-9.
- 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.
- Barnard ND, Scialli AR, Turner-McGrievy G, Lanou AJ. Acceptability of a low-fat vegan diet compares favorably to a step II diet in a randomized, controlled trial. J Cardiopulm Rehabil. 2004 Jul-Aug;24(4):229-35. doi: 10.1097/00008483-200407000-00004.
- Barnard ND, Gloede L, Cohen J, Jenkins DJ, Turner-McGrievy G, Green AA, Ferdowsian H. A low-fat vegan diet elicits greater macronutrient changes, but is comparable in adherence and acceptability, compared with a more conventional diabetes diet among individuals with type 2 diabetes. J Am Diet Assoc. 2009 Feb;109(2):263-72. doi: 10.1016/j.jada.2008.10.049.
- Barnard ND, Akhtar A, Nicholson A. Factors that facilitate compliance to lower fat intake. Arch Fam Med. 1995 Feb;4(2):153-8. doi: 10.1001/archfami.4.2.153.
- Becker M. The health belief model and personal health behavior. Health Education Monographs 1974;2:324-473.
- U.S. Census Bureau. Quick Facts. District of Columbia. Internet: http://www.census.gov/quickfacts/table/RHI125215/11, accessed August 22, 2016.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Pro00037092
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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