Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2018 Sep 14;10(9):1302.
doi: 10.3390/nu10091302.

A Plant-Based High-Carbohydrate, Low-Fat Diet in Overweight Individuals in a 16-Week Randomized Clinical Trial: The Role of Carbohydrates

Affiliations
Randomized Controlled Trial

A Plant-Based High-Carbohydrate, Low-Fat Diet in Overweight Individuals in a 16-Week Randomized Clinical Trial: The Role of Carbohydrates

Hana Kahleova et al. Nutrients. .

Abstract

The effects of carbohydrates on body weight and insulin sensitivity are controversial. In this 16-week randomized clinical trial, we tested the role of a low-fat, plant-based diet on body weight, body composition and insulin resistance. As a part of this trial, we investigated the role of changes in carbohydrate intake on body composition and insulin resistance. Participants (n = 75) were randomized to follow a plant-based high-carbohydrate, low-fat (vegan) diet (n = 38) or to maintain their current diet (n = 37). Dual-energy X-ray absorptiometry was used to measure body composition. Insulin resistance was assessed with the Homeostasis Model Assessment (HOMA-IR) index. A repeated measure ANOVA model was used to test the between-group differences from baseline to 16 weeks. A linear regression model was used to test the relationship between carbohydrate intake, and body composition and insulin resistance. Weight decreased significantly in the vegan group (treatment effect -6.5 [95% CI -8.9 to -4.1] kg; Gxt, p < 0.001). Fat mass was reduced in the vegan group (treatment effect -4.3 [95% CI -5.4 to -3.2] kg; Gxt, p < 0.001). HOMA-IR was reduced significantly in the vegan group (treatment effect -1.0 [95% CI -1.2 to -0.8]; Gxt, p = 0.004). Changes in consumption of carbohydrate, as a percentage of energy, correlated negatively with changes in BMI (r = -0.53, p < 0.001), fat mass (r = -0.55, p < 0.001), volume of visceral fat (r = -0.35, p = 0.006), and HOMA (r = -0.27, p = 0.04). These associations remained significant after adjustment for energy intake. Changes in consumption of total and insoluble fiber correlated negatively with changes in BMI (r = -0.43, p < 0.001; and r = -0.46, p < 0.001, respectively), fat mass (r = -0.42, p < 0.001; and r = -0.46, p < 0.001, respectively), and volume of visceral fat (r = -0.29, p = 0.03; and r = -0.32, p = 0.01, respectively). The associations between total and insoluble fiber and changes in BMI and fat mass remained significant even after adjustment for energy intake. Increased carbohydrate and fiber intake, as part of a plant-based high-carbohydrate, low-fat diet, are associated with beneficial effects on weight, body composition, and insulin resistance.

Keywords: carbohydrates; diet; fiber; nutrition; plant-based; vegan.

PubMed Disclaimer

Conflict of interest statement

Barnard is an Adjunct Associate Professor of Medicine at the George Washington University School of Medicine and serves without financial compensation as president of the Physicians Committee for Responsible Medicine and Barnard Medical Center. He writes books and gives lectures related to nutrition and health, and has received royalties and honoraria from these sources. Kahleova is the Director of Clinical Research of the Physicians Committee for Responsible Medicine, a nonprofit organization conducting research and education in nutrition. Dort has worked for the Physicians Committee for Responsible Medicine. Holubkov does not declare any conflict of interest.

Figures

Figure 1
Figure 1
Enrollment of the Participants and Completion of the Study.
Figure 2
Figure 2
Changes in body weight, fat mass, and insulin resistance in the vegan and control group at baseline and after 16 weeks. (A) Body Weight, Gxt p < 0.001; (B) Fat Mass, Gxt p < 0.001; (C) Visceral Adipose Tissue (VAT) Volume, Gxt p < 0.001; and (D) Homeostatic Model Assessment Insulin Resistance (HOMA-IR), Gxt p = 0.004. Gxt is interaction between group and time from the ANOVA model. *** for p < 0.001. Data are given as means with 95% confidence intervals.
Figure 3
Figure 3
Regression models for changes in carbohydrate intake and changes in body composition, fat mass, and insulin resistance in both groups combined. (A) Total carbohydrate intake and change in BMI: r = −0.36; p = 0.005; (B) Total carbohydrate intake and change in volume of visceral fat: r = −0.45; p < 0.001; (C) % carbohydrate intake from total energy and change in BMI: r = −0.53, p < 0.001; (D) % carbohydrate intake from total energy and change in fat mass: r = −0.55, p < 0.001; (E) % carbohydrate intake from total energy and change in volume of visceral fat: r = −0.35, p = 0.006; (F) % carbohydrate intake from total energy and change in HOMA: r = −0.27, p = 0.04; (G) Total fiber intake and change in BMI: r = −0.43, p < 0.001; (H) Total fiber intake and change in fat mass: r = −0.42; p < 0.001; (I) Total fiber intake and change in volume of visceral fat: r = −0.29; p = 0.003; (J) Intake of insoluble fiber and change in BMI: r = −0.46, p < 0.001; (K) Intake of insoluble fiber and change in fat mass: r = −0.46, p < 0.001; (L) Intake of insoluble fiber and change in volume of visceral fat: r = −0.32, p = 0.01.
Figure 3
Figure 3
Regression models for changes in carbohydrate intake and changes in body composition, fat mass, and insulin resistance in both groups combined. (A) Total carbohydrate intake and change in BMI: r = −0.36; p = 0.005; (B) Total carbohydrate intake and change in volume of visceral fat: r = −0.45; p < 0.001; (C) % carbohydrate intake from total energy and change in BMI: r = −0.53, p < 0.001; (D) % carbohydrate intake from total energy and change in fat mass: r = −0.55, p < 0.001; (E) % carbohydrate intake from total energy and change in volume of visceral fat: r = −0.35, p = 0.006; (F) % carbohydrate intake from total energy and change in HOMA: r = −0.27, p = 0.04; (G) Total fiber intake and change in BMI: r = −0.43, p < 0.001; (H) Total fiber intake and change in fat mass: r = −0.42; p < 0.001; (I) Total fiber intake and change in volume of visceral fat: r = −0.29; p = 0.003; (J) Intake of insoluble fiber and change in BMI: r = −0.46, p < 0.001; (K) Intake of insoluble fiber and change in fat mass: r = −0.46, p < 0.001; (L) Intake of insoluble fiber and change in volume of visceral fat: r = −0.32, p = 0.01.

Similar articles

Cited by

References

    1. NCD Risk Factor Collaboration (NCD-RisC) Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387:1377–1396. doi: 10.1016/S0140-6736(16)30054-X. - DOI - PubMed
    1. GBD 2015 Risk Factors Collaborators Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1659–1724. doi: 10.1016/S0140-6736(16)31679-8. - DOI - PMC - PubMed
    1. Di Angelantonio E., Bhupathiraju S.N., Wormser D., Gao P., Kaptoge S., de Gonzalez A.B., Cairns B.J., Huxley R., Jackson C.L., Joshy G., et al. Body-mass index and all-cause mortality: Individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016;388:776–786. doi: 10.1016/S0140-6736(16)30175-1. - DOI - PMC - PubMed
    1. Murray C.J.L., Atkinson C., Bhalla K., Birbeck G., Burstein R., Chou D., Dellavalle R., Danaei G., Ezzati M., Fahimi A., et al. Burden of Disease Collaborators The state of US health, 1990–2010: Burden of diseases, injuries, and risk factors. JAMA. 2013;310:591–608. doi: 10.1001/jama.2013.13805. - DOI - PMC - PubMed
    1. Micha R., Peñalvo J.L., Cudhea F., Imamura F., Rehm C.D., Mozaffarian D. Association between dietary factors and mortality from heart disease, stroke, and type 2 diabetes in the United States. JAMA. 2017;317:912–924. doi: 10.1001/jama.2017.0947. - DOI - PMC - PubMed

Publication types

MeSH terms