Evidence map›Paper›PMID 35987955›Full record

ArticleInternational journal of obesity (2005)2022

Predicting energy intake in adults who are dieting and exercising.

Corey Gerving, Robert Lasater, James Starling, Danielle M Ostendorf, Leanne M Redman, Chad Estabrooks, Kevin Cummiskey, Vincent Antonetti, Diana M Thomas

Open access · greenAbstract read
In one paragraph

Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 1 country.

Corey GervingDepartment of Physics and Nuclear Engineering, United States Military Academy, West Point, NY, 10996, USA.
Robert LasaterDepartment of Mathematical Sciences, United States Military Academy, West Point, NY, US.
James StarlingDepartment of Mathematical Sciences, United States Military Academy, West Point, NY, US.
Danielle M OstendorfDepartment of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado-Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0002-3923-5726
Leanne M RedmanPennington Biomedical Research Center, Baton Rouge, LA, USA.ORCID 0000-0002-7267-7374
Chad EstabrooksBelmont Abbey College, Belmont, NC, USA.
Kevin CummiskeyDepartment of Mathematical Sciences, United States Military Academy, West Point, NY, US.
Vincent AntonettiDepartment of Mechanical Engineering, Manhattan College, New York City, NY, USA.
Diana M ThomasDepartment of Mathematical Sciences, United States Military Academy, West Point, NY, US. diana.thomas@westpoint.edu.ORCID 0000-0003-2641-9304
United States Military Academy · USBelmont Abbey College · USManhattan University · USPennington Biomedical Research Center · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leanne Maree Redman · 2005 to 2026
$26.5M
Project 4: Virtual Public Health Precision Nutrition LaboratoryU54TR004279 · NCATS · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Bruce Y Lee · 2022 to 2026
$5.4M
A pragmatic, scalable e-health intervention for management of gestational weight gain in low-income mothersR01NR017644 · NINR · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI REDMAN, LEANNE MAREE · 2019 to 2024
$3.6M
Promoting fat loss during pregnancy in women with grade 2 and 3 obesityR01DK124806 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI PHELAN, SUZANNE, REDMAN, LEANNE MAREE · 2020 to 2024
$3.2M
Enhancing Physical Activity Adoption and Maintenance in Adults with Obesity by Understanding Motivation for Exercise: A Mixed Methods Research DesignF32DK122652 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI OSTENDORF, DANIELLE M · 2019 to 2022
$154k
NCATS NIH HHS U54 TR004279NIDDK NIH HHS F32 DK122652NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R01 DK124806NIGMS NIH HHS U54 GM104940NINR NIH HHS R01 NR017644
6 · The paper itself

Abstract

backgroundWhen a lifestyle intervention combines caloric restriction and increased physical activity energy expenditure (PAEE), there are two components of energy balance, energy intake (EI) and physical activity energy expenditure (PAEE), that are routinely misreported and expensive to measure. Energy balance models have successfully predicted EI if PAEE is known. Estimating EI from an energy balance model when PAEE is not known remains an open question.

objectiveThe objective was to evaluate the performance of an energy balance differential equation model to predict EI in an intervention that includes both calorie restriction and increases in PAEE.

designThe Antonetti energy balance model that predicts body weight trajectories during weight loss was solved and inverted to estimate EI during weight loss. Using data from a calorie restriction study that included interventions with and without prescribed PAEE, we tested the validity of the Antonetti weight predictions against measured weight and the Antonetti EI model against measured EI using the intake-balance method at 168 days. We then evaluated the predicted EI from the model against measured EI in a study that prescribed both calorie restriction and increased PAEE.

resultsCompared with measured body weight at 168 days, the mean (±SD) model error was 1.30 ± 3.58 kg. Compared with measured EI at 168 days, the mean EI (±SD) model error in the intervention that prescribed calorie restriction and did not prescribe increased PAEE, was -84.9 ± 227.4 kcal/d. In the intervention that prescribed calorie restriction combined with increased PAEE, the mean (±SD) EI model error was -155.70 ± 205.70 kcal/d.

conclusionThe validity of the newly developed EI model was supported by experimental observations and can be used to determine EI during weight loss.

Indexed as

Energy IntakeExerciseAdultCaloric RestrictionEnergy MetabolismHumansWeight Loss

Identifiers

PMID35987955
PMCPMC9691568
OpenAlexW4294104575

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.