Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial - PubMed (original) (raw)

Randomized Controlled Trial

Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial

Cara B Ebbeling et al. BMJ. 2018.

Erratum in

Abstract

Objective: To determine the effects of diets varying in carbohydrate to fat ratio on total energy expenditure.

Design: Randomized trial.

Setting: Multicenter collaboration at US two sites, August 2014 to May 2017.

Participants: 164 adults aged 18-65 years with a body mass index of 25 or more.

Interventions: After 12% (within 2%) weight loss on a run-in diet, participants were randomly assigned to one of three test diets according to carbohydrate content (high, 60%, n=54; moderate, 40%, n=53; or low, 20%, n=57) for 20 weeks. Test diets were controlled for protein and were energy adjusted to maintain weight loss within 2 kg. To test for effect modification predicted by the carbohydrate-insulin model, the sample was divided into thirds of pre-weight loss insulin secretion (insulin concentration 30 minutes after oral glucose).

Main outcome measures: The primary outcome was total energy expenditure, measured with doubly labeled water, by intention-to-treat analysis. Per protocol analysis included participants who maintained target weight loss, potentially providing a more precise effect estimate. Secondary outcomes were resting energy expenditure, measures of physical activity, and levels of the metabolic hormones leptin and ghrelin.

Results: Total energy expenditure differed by diet in the intention-to-treat analysis (n=162, P=0.002), with a linear trend of 52 kcal/d (95% confidence interval 23 to 82) for every 10% decrease in the contribution of carbohydrate to total energy intake (1 kcal=4.18 kJ=0.00418 MJ). Change in total energy expenditure was 91 kcal/d (95% confidence interval -29 to 210) greater in participants assigned to the moderate carbohydrate diet and 209 kcal/d (91 to 326) greater in those assigned to the low carbohydrate diet compared with the high carbohydrate diet. In the per protocol analysis (n=120, P<0.001), the respective differences were 131 kcal/d (-6 to 267) and 278 kcal/d (144 to 411). Among participants in the highest third of pre-weight loss insulin secretion, the difference between the low and high carbohydrate diet was 308 kcal/d in the intention-to-treat analysis and 478 kcal/d in the per protocol analysis (P<0.004). Ghrelin was significantly lower in participants assigned to the low carbohydrate diet compared with those assigned to the high carbohydrate diet (both analyses). Leptin was also significantly lower in participants assigned to the low carbohydrate diet (per protocol).

Conclusions: Consistent with the carbohydrate-insulin model, lowering dietary carbohydrate increased energy expenditure during weight loss maintenance. This metabolic effect may improve the success of obesity treatment, especially among those with high insulin secretion.

Trial registration: ClinicalTrials.gov NCT02068885.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

PubMed Disclaimer

Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi\_disclosure.pdf and declare: research support for the submitted work as described above; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work except as follows: CBE and DSL have conducted research studies examining the carbohydrate-insulin model funded by the National Institutes of Health and philanthropic organizations unaffiliated with the food industry; DSL received royalties for books on obesity and nutrition that recommend a low glycemic load diet.

Figures

Fig 1

Fig 1

Study design

Fig 2

Fig 2

Participant flow (see supplementary figure for details of exclusions)

Fig 3

Fig 3

Change in total energy expenditure, the primary outcome, in intention-to-treat (top) and per protocol (bottom) analyses. Data are shown as mean change from start of test phase, with whiskers representing 1 standard error above and below the mean. P tests uniformity across diet groups for average of changes at midpoint and end of test phase

Fig 4

Fig 4

Effect modification by pre-weight loss insulin secretion (insulin concentration 30 minutes after oral glucose) in intention-to-treat and per protocol analyses. Pre-weight loss body weight differed by third (first third, 83.8 kg; second third, 92.8 kg; third third 98.4 kg, P<0.001 in the intention-to-treat analysis). Change in body weight during the test phase did not differ by third (P=0.08) or across diet groups (P=0.43)

Fig 5

Fig 5

Biomeasures of compliance in intention-to-treat and per protocol analyses. Measures include 1,5-anhydroglucitol (upper), mean pre-weight loss value 17 μg/mL; triglycerides (middle), mean pre-weight loss value 78 mg/dL (retransformed); and high density lipoprotein cholesterol (lower), mean pre-weight loss value 48 mg/dL. Data are shown as mean change from start of test phase, with whiskers representing 1 standard error above and below the mean. P tests uniformity across diet groups for average of changes at midpoint and end of test phase. Left, intention-to-treat analysis; right, per-protocol analysis

Comment in

Similar articles

Cited by

References

    1. Maclean PS, Bergouignan A, Cornier MA, Jackman MR. Biology’s response to dieting: the impetus for weight regain. Am J Physiol Regul Integr Comp Physiol 2011;301:R581-600. 10.1152/ajpregu.00755.2010 - DOI - PMC - PubMed
    1. Leibel RL, Rosenbaum M, Hirsch J. Changes in energy expenditure resulting from altered body weight. N Engl J Med 1995;332:621-8. 10.1056/NEJM199503093321001 - DOI - PubMed
    1. Ludwig DS. The glycemic index: physiological mechanisms relating to obesity, diabetes, and cardiovascular disease. JAMA 2002;287:2414-23. 10.1001/jama.287.18.2414 - DOI - PubMed
    1. Ludwig DS, Friedman MI. Increasing adiposity: consequence or cause of overeating? JAMA 2014;311:2167-8. 10.1001/jama.2014.4133 - DOI - PubMed
    1. Taubes G. The science of obesity: what do we really know about what makes us fat? An essay by Gary Taubes. BMJ 2013;346:f1050. 10.1136/bmj.f1050 - DOI - PubMed

Publication types

MeSH terms

Substances

LinkOut - more resources