Evidence map›Paper›PMID 31706311›Full record

Trial reportNutrition journal2019

A randomized cross-over trial to determine the effect of a protein vs. carbohydrate preload on energy balance in ad libitum settings.

Madeline J Gibson, John A Dawson, Nadeeja N Wijayatunga, Bridget Ironuma, Idah Chatindiara, Fernando Ovalle, David B Allison, Emily J Dhurandhar

Registry-linked trialOpen access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Nutrition journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02613065 (The Role of Protein in Regulating Ad Libitum Energy Intake in Humans), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 79% 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.

NCT02613065 nacompletednot on this map

The Role of Protein in Regulating Ad Libitum Energy Intake in Humans

TypeinterventionalSponsorUniversity of Alabama at BirminghamRan2015 to 2016Enrolled48ConditionsEnergy BalanceArmsConsumption of NOW Foods eggwhite protein shake, Consumption of NOW Foods maltodextrin shake
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Madeline J GibsonSchool of Public Health Dean's Office, University of Alabama at Birmingham, Birmingham, AL, USA.
John A DawsonDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
Nadeeja N WijayatungaDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA.
Bridget IronumaDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA.
Idah ChatindiaraSchool of Sport, Exercise and Nutrition, Massey University College of Health, Auckland, New Zealand.
Fernando OvalleDepartment of Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA.
David B AllisonSchool of Public Health Dean's Office, Indiana University, Bloomington, IN, USA.
Emily J DhurandharDepartment of Kinesiology and Sports Management, Texas Tech University, Lubbock, TX, USA. emily.dhurandhar@ttu.edu.
Texas Tech University · USUniversity of Alabama at Birmingham · USIndiana University Bloomington · USMassey University · NZ

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 James O Hill · 2000 to 2026
$31.9M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
NCATS NIH HHS UL1 TR001417NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

backgroundAlthough high protein diets have been tested in controlled environments for applications to weight management, it is not understood if adding high protein foods to the diet would impact ad libitum energy balance in the absence of other lifestyle changes.

methodsThis double-blinded randomized crossover trial compared the effects of a protein shake (PS) to a carbohydrate shake (CS), consumed prior to each major meal to equate to 20% of total energy needs over the course of the day, on energy balance over two 5-day treatment periods in healthy adults with BMI 20-30 kg/m2. Tri-axial accelerometers estimated physical activity energy expenditure. Ad libitum energy intake was measured in a laboratory kitchen.

resultsEnergy balance was positive during both treatment periods but was not different between periods. There were no interactions between treatment and preload caloric dose or treatment and BMI status on energy balance. Satiety ratings did not differ for any pairwise comparisons between treatment and caloric dose. Controlling for gender and basal metabolic rate, thermic effect of food was greater for PS than CS.

conclusionsPreload periods significantly altered the macronutrient composition of the overall diet. This study found limited evidence that carbohydrate or protein preloads have differential effects on energy balance in short-term ad libitum settings.

trial registrationThis trial was pre-registered on clinicaltrials.gov as NCT02613065 on 11/30/2015.

Indexed as

AccelerometryAdultBeveragesCross-Over StudiesDietDietary CarbohydratesDietary ProteinsDouble-Blind MethodEnergy IntakeEnergy MetabolismFemaleHumansMaleMiddle AgedPostprandial PeriodDietary CarbohydratesDietary ProteinsCross-over trialEggEnergy balanceMacronutrientsPreloadProteinRandomized trial

Identifiers

PMID31706311
PMCPMC6842484
OpenAlexW2987184819

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.