Evidence map›Paper›PMID 32844188›Full record

Trial reportThe American journal of clinical nutrition2020

Metabolic adaptation is an illusion, only present when participants are in negative energy balance.

Catia Martins, Jessica Roekenes, Saideh Salamati, Barbara A Gower, Gary R Hunter

2 registry-linked trialsOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02944253 nacompletednot on this map

Ketosis and Appetite Suppression - What is the Maximum Carbohydrate Intake That is Still Associated With Appetite Suppression in a Low Energy Diet?

TypeinterventionalSponsorNorwegian University of Science and TechnologyRan2017 to 2019Enrolled100ConditionsObesityArmsLow energy diet 70 gram carbohydrates, Low energy diet 100 gram carbohydrates, Low energy diet 130 gram carbohydrates
NCT03287726 nacompletednot on this map

Evaluation of the Potential Impact of Probiotics on Weight Loss Maintenance in Individuals With Obesity

TypeinterventionalSponsorNorwegian University of Science and TechnologyRan2017 to 2020Enrolled76ConditionsObesityArmsprobiotics, placebo
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Catia MartinsObesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Jessica RoekenesObesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Saideh SalamatiCentre for Obesity and Innovation (ObeCe), Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway.
Barbara A GowerDepartment of Nutrition Sciences, University of Alabama, Birmingham, AL, USA.
Gary R HunterDepartment of Nutrition Sciences, University of Alabama, Birmingham, AL, USA.
Norwegian University of Science and Technology · NOUniversity of Alabama at Birmingham · USSt Olav's University Hospital · NO

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
NIDDK NIH HHS P30 DK056336
6 · The paper itself

Abstract

backgroundThe existence of metabolic adaptation, following weight loss, remains a controversial issue. To our knowledge, no study has evaluated the role of energy balance (EB) in modulating metabolic adaptation.

objectivesThe aim of this study was to determine if metabolic adaptation, at the level of resting metabolic rate (RMR), is modulated by participants' EB status. A secondary aim was to investigate if metabolic adaptation was associated with weight regain.

methodsSeventy-one individuals with obesity (BMI: 34.6 ± 3.4 kg/m2; age: 45.4 ± 8.2 y; 33 men) enrolled in a 1000-kcal/d diet for 8 wk, followed by 4 wk of weight stabilization and a 9-mo weight loss maintenance program. Body weight/composition and RMR were measured at baseline, week 9 (W9), week 13 (W13), and 1 y (1Y). Metabolic adaptation was defined as a significantly different (lower or higher) measured compared with predicted RMR.

resultsParticipants lost on average 14 kg by W9, followed by weight stabilization at W13, and regained 29% of their initial weight loss at 1Y. Metabolic adaptation was found at W9 (-92 ± 110 kcal/d, P < 0.001) and W13 (-38 ± 124 kcal/d, P = 0.011) but was not correlated with weight regain. A significant reduction in metabolic adaptation was seen between W9 and W13 (-53 ± 101 kcal/d, P < 0.001). In a subset of participants who gained weight between W9 and W13 (n = 33), no metabolic adaptation was seen at W13 (-26.8 ± 121.5 kcal/d, P = 0.214). In a subset of participants with data at all time points (n = 45), metabolic adaptation was present at W9 and W13 (-107 ± 102 kcal/d, P < 0.001 and -49 ± 128 kcal/d, P = 0.013) but not at 1Y (-7 ± 129, P = 0.701).

conclusionAfter weight loss, metabolic adaptation at the level of RMR is dependent on the EB status of the participants, being reduced to half after a period of weight stabilization. Moreover, metabolic adaptation does not predict weight regain at 1Y follow-up. These trials were registered at clinicaltrials.gov as NCT02944253 and NCT03287726.

Indexed as

Adaptation, PhysiologicalAdultEnergy MetabolismFemaleHumansMaleMiddle AgedObesityProbioticsWeight Lossadaptive thermogenesismetabolic adaptationresting metabolic rateweight lossweight regain

Identifiers

PMID32844188
PMCPMC7657334
OpenAlexW3081489550

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.