Cited by 78Nutritional Studies and DietDiet and metabolism studiesDietary Effects on Health

Effects of 7 days on an ad libitum low-fat vegan diet: the McDougall Program cohort

Open access
McDougall, John, Thomas, Laurie E, McDougall, Craig, Moloney, Gavin, Saul, Bradley, Finnell, John S, Richardson, Kelly, Petersen, Katelin Mae·2014·Nutrition Journal

Abstract

BACKGROUND: Epidemiologic evidence, reinforced by clinical and laboratory studies, shows that the rich Western diet is the major underlying cause of death and disability (e.g, from cardiovascular disease and type 2 diabetes) in Western industrialized societies. The objective of this study is to document the effects that eating a low-fat (≤10% of calories), high-carbohydrate (~80% of calories), moderate-sodium, purely plant-based diet ad libitum for 7 days can have on the biomarkers of cardiovascular disease and type 2 diabetes. METHODS: Retrospective analysis of measurements of weight, blood pressure, blood sugar, and blood lipids and estimation of cardiovascular disease risk at baseline and day 7 from 1615 participants in a 10-day residential dietary intervention program from 2002 to 2011. Wilcoxon's signed-rank test was used for testing the significance of changes from baseline. RESULTS: The median (interquartile range, IQR) weight loss was 1.4 (1.8) kg (p < .001). The median (IQR) decrease in total cholesterol was 22 (29) mg/dL (p < .001). Even though most antihypertensive and antihyperglycemic medications were reduced or discontinued at baseline, systolic blood pressure decreased by a median (IQR) of 8 (18) mm Hg (p < .001), diastolic blood pressure by a median (IQR) of 4 (10) mm Hg (p < .001), and blood glucose by a median (IQR) of 3 (11) mg/dL (p < .001). For patients whose risk of a cardiovascular event within 10 years was >7.5% at baseline, the risk dropped to 5.5% (>27%) at day 7 (p < .001). CONCLUSIONS: A low-fat, starch-based, vegan diet eaten ad libitum for 7 days results in significant favorable changes in commonly tested biomarkers that are used to predict future risks for cardiovascular disease and metabolic diseases.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1475-2891-13-99

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
McDougall, J., Thomas, L. E., McDougall, C., Moloney, G., Saul, B., Finnell, J. S., Richardson, K., & Petersen, K. M.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • AOMA Graduate School of Integrative Medicine (US)
Corresponding author
McDougall, John
Venue
Nutrition Journal
Published
2014-10-14
Volume
13
Issue
1
Pages
99-99
ISSN
1475-2891 (ISSN-L)
OpenAlex
W2105616443
Cited by
78
References
27
Citations by year
2026: 4 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 7 · 2021: 6 · 2020: 9 · 2019: 7 · 2018: 6 · 2017: 15 · 2016: 4 · 2015: 6
FWCI
8.29
Type
journal article
Language
en
Open access
Locations
  • Nutrition Journal (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • UNC Libraries
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Health Sciences › Medicine › Physiology › Diet and metabolism studies
  • Health Sciences › Medicine › Physiology › Dietary Effects on Health
Keywords
ad libitum feeding, short-term dietary intervention, cardiovascular risk, type 2 diabetes risk, weight loss, blood pressure, blood glucose, serum lipids, total cholesterol, Western diet, plant-based diet
MeSH terms
Adult, Aged, Blood Glucose, Blood Pressure, Body Weight, Cardiovascular Diseases, Cholesterol, Diabetes Mellitus, Type 2, Dietary Carbohydrates, Dietary Fats, Female, Humans, Male, Middle Aged, Retrospective Studies, Risk Factors, Triglycerides, Diet, Vegetarian, Cohort Studies, Biomarkers, Diet, Fat-Restricted

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review