Evidence map›Paper›PMID 22735432›Full record

Trial reportJAMA2012

Effects of dietary composition on energy expenditure during weight-loss maintenance.

Cara B Ebbeling, Janis F Swain, Henry A Feldman, William W Wong, David L Hachey, Erica Garcia-Lago, David S Ludwig

5 registry-linked trialsAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 188 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
188citing papers in PubMed, 9 pooled it
21.8field-weighted citation impact, top 1% 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.

NCT00315354 nacompletednot on this map

Popular Diets, Metabolism, and CVD Risk

TypeinterventionalSponsorBoston Children's HospitalRan2006 to 2013Enrolled24ConditionsObesity, Insulin ResistanceArmsLow glycemic index diet, Low fat diet, Very low carbohydrate diet
NCT01849627 nacompletednot on this mapstarted 2014, after this paper: background citation

Eat Well for Life: A Weight Loss Maintenance Study

TypeinterventionalSponsorThe University of Tennessee, KnoxvilleRan2014 to 2025Enrolled345ConditionsObesityArmsLow-ED, Energy Balance
NCT02235038 nacompletednot on this mapstarted 2014, after this paper: background citation

A Mechanistic Examination of Dietary Composition on Metabolic Fuels Availability

TypeinterventionalSponsorBoston Children's HospitalRan2014 to 2017Enrolled30ConditionsObesityArmsLow carbohydrate diet, Moderate carbohydrate diet, High carbohydrate diet
NCT03394664 naterminatednot on this mapstarted 2018, after this paper: background citation

Macronutrients and Body Fat Accumulation: A Mechanistic Feeding Study

TypeinterventionalSponsorBoston Children's HospitalRan2018 to 2020Enrolled166ConditionsObesityArmsFeeding Study
NCT04029532 completednot on this mapstarted 2019, after this paper: background citation

Factors Associated With Obesity in Adult Women: Respiratory Exchange Ratio, Heart Rate Variation and Body Image

TypeobservationalSponsorNational Taiwan University HospitalRan2019 to 2020Enrolled121ConditionsObesityArmsRespiratory exchange ratio, Heart rate variability, Body composition, Eating behavior, Physical activity recall
3 · Its place in the literature

Who cites it

188 citing papers in PubMed, 9 syntheses or guidelines pooled it, 427 citations in OpenAlex.

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  7. Experimental and observational studies on alcohol use and dietary intake: a systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
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128 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Cara B EbbelingNew Balance Foundation Obesity Prevention Center, Children's Hospital Boston, 300 Longwood Ave, Boston, MA 02115, USA.
Janis F Swain
Henry A Feldman
William W Wong
David L Hachey
Erica Garcia-Lago
David S Ludwig
Harvard University Press · US

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
Zoledronic Acid in Treatment of Osteoporosis in PostmenoM01RR002635 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI GARBER, JUDY E. · 1985 to 2008
$48.4M
WIRELESS CAPSULE ENDOSCOPY TO EVALUATE THE SMALL INTESTINE M01RR002172 · NCRR · CHILDREN'S HOSPITAL BOSTON · PI MANDELL, JAMES WILLIAM · 1985 to 2008
$16.0M
Popular Diets, Metabolism, and CVD RiskR01DK072428 · NIDDK · CHILDREN'S HOSPITAL BOSTON · PI LUDWIG, DAVID S · 2005 to 2008
$1.9M
Effects of Diet on Hormones, Metabolism and Body WeightK24DK082730 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LUDWIG, DAVID S · 2009 to 2018
$1.6M
NCRR NIH HHS M01 RR002172NCRR NIH HHS M01 RR002635NCRR NIH HHS M01RR02172NCRR NIH HHS UL1 RR025758NCRR NIH HHS UL1RR02575801NIDDK NIH HHS K24 DK082730NIDDK NIH HHS K24DK082730NIDDK NIH HHS R01 DK072428NIDDK NIH HHS R01DK072428PHS HHS NCRR M0102635
6 · The paper itself

Abstract

contextReduced energy expenditure following weight loss is thought to contribute to weight gain. However, the effect of dietary composition on energy expenditure during weight-loss maintenance has not been studied.

objectiveTo examine the effects of 3 diets differing widely in macronutrient composition and glycemic load on energy expenditure following weight loss. DESIGN, SETTING, AND

participantsA controlled 3-way crossover design involving 21 overweight and obese young adults conducted at Children's Hospital Boston and Brigham and Women's Hospital, Boston, Massachusetts, between June 16, 2006, and June 21, 2010, with recruitment by newspaper advertisements and postings.

interventionAfter achieving 10% to 15% weight loss while consuming a run-in diet, participants consumed an isocaloric low-fat diet (60% of energy from carbohydrate, 20% from fat, 20% from protein; high glycemic load), low-glycemic index diet (40% from carbohydrate, 40% from fat, and 20% from protein; moderate glycemic load), and very low-carbohydrate diet (10% from carbohydrate, 60% from fat, and 30% from protein; low glycemic load) in random order, each for 4 weeks.

main outcome measuresPrimary outcome was resting energy expenditure (REE), with secondary outcomes of total energy expenditure (TEE), hormone levels, and metabolic syndrome components.

resultsCompared with the pre-weight-loss baseline, the decrease in REE was greatest with the low-fat diet (mean [95% CI], -205 [-265 to -144] kcal/d), intermediate with the low-glycemic index diet (-166 [-227 to -106] kcal/d), and least with the very low-carbohydrate diet (-138 [-198 to -77] kcal/d; overall P = .03; P for trend by glycemic load = .009). The decrease in TEE showed a similar pattern (mean [95% CI], -423 [-606 to -239] kcal/d; -297 [-479 to -115] kcal/d; and -97 [-281 to 86] kcal/d, respectively; overall P = .003; P for trend by glycemic load < .001). Hormone levels and metabolic syndrome components also varied during weight maintenance by diet (leptin, P < .001; 24-hour urinary cortisol, P = .005; indexes of peripheral [P = .02] and hepatic [P = .03] insulin sensitivity; high-density lipoprotein [HDL] cholesterol, P < .001; non-HDL cholesterol, P < .001; triglycerides, P < .001; plasminogen activator inhibitor 1, P for trend = .04; and C-reactive protein, P for trend = .05), but no consistent favorable pattern emerged.

conclusionAmong overweight and obese young adults compared with pre-weight-loss energy expenditure, isocaloric feeding following 10% to 15% weight loss resulted in decreases in REE and TEE that were greatest with the low-fat diet, intermediate with the low-glycemic index diet, and least with the very low-carbohydrate diet.

trial registrationclinicaltrials.gov Identifier: NCT00315354.

Indexed as

Diet, Carbohydrate-RestrictedDiet, Fat-RestrictedEnergy MetabolismNutritive ValueWeight LossAdultCholesterol, HDLCross-Over StudiesFemaleGlycemic IndexHumansHydrocortisoneInsulin ResistanceLeptinMaleMetabolic SyndromeCholesterol, HDLHydrocortisoneLeptinPlasminogen Activator Inhibitor 1Triglycerides

Identifiers

PMID22735432
PMCPMC3564212
OpenAlexW2102658838

What OpenQuestion holds

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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.