Evidence map›Paper›PMID 40878019›Full record

Trial reportObesity (Silver Spring, Md.)2025

Using Time-Weighted Averages of Total Daily Energy Expenditure to Estimate Energy Intake During a Weight Loss Intervention.

Matthew J Breit, Zhaoxing Pan, Danielle M Ostendorf, Jared H Dahle, Victoria A Catenacci, Seth A Creasy, Edward L Melanson

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03411356 (Comparison of Weight Loss Induced by Intermittent Fasting Versus Daily Caloric Restriction in Individuals With Obesity), which is not on this map. Not yet cited in PubMed.

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

NCT03411356 nacompletednot on this map

Comparison of Weight Loss Induced by Intermittent Fasting Versus Daily Caloric Restriction in Individuals With Obesity: A 1-Year Randomized Trial

TypeinterventionalSponsorUniversity of Colorado, DenverRan2017 to 2023Enrolled165ConditionsObesityArmsDaily Caloric Restriction (DCR), Intermittent Fasting (IMF)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Matthew J BreitDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0009-0003-9754-4417
Zhaoxing PanDepartment of Biostatistics & Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Danielle M OstendorfDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Jared H DahleDepartment of Biology, United States Air Force Academy, Colorado Springs, Colorado, USA.
Victoria A CatenacciDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Seth A CreasyDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Edward L MelansonDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0001-9151-9745

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Comparison of Weight Loss Induced by Intermittent Fasting Versus Daily Caloric Restriction in Individuals with Obesity: A 1-Year Randomized TrialR01DK111622 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI CATENACCI, VICTORIA A · 2017 to 2021
$4.4M
Training the Next Generation of Innovative and Collaborative Patient-Oriented Researchers to Reduce Obesity and Improve Cardiometabolic HealthK24HL169755 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI VICTORIA A CATENACCI · 2023 to 2026
$504k
NCATS NIH HHS UL1 TR002535NHLBI NIH HHS K24 HL169755NIDDK NIH HHS P30 DK048520NIDDK NIH HHS R01 DK111622NIH HHS P30 DK048520NIH HHS R01 DK111622NIH HHS UL1 TR002535
6 · The paper itself

Abstract

objectiveThe doubly labeled water (DLW) intake-balance method estimates energy intake (EI) during weight loss using the time-weighted average of total daily energy expenditure (TDEE) and changes in body energy stores. Because TDEE declines rapidly during the early phase of weight loss, an early additional measurement is recommended. This study aimed to develop regression models that estimate time-weighted TDEE using fewer interim measurements and determine if EI accuracy is maintained during a 12-month weight loss intervention.

methodsData from a behavioral weight loss intervention (Dietary Caloric Restriction versus intermittent Fasting Trial, "DRIFT") were used. TDEE, body weight, and body composition were measured at months 0, 1, 6, and 12. Regression models using only two or three time points were used to estimate time-weighted TDEE at months 6 and 12, respectively. Models were validated using bootstrap sampling, and time-weighted TDEE and percent caloric restriction (% CR) were compared to a reference approach.

resultsModels demonstrated strong predictive performance (R

conclusionsUsing a regression modeling approach, we demonstrate the DLW intake-balance method maintains accuracy during weight loss without early-phase TDEE measurements.

trial registrationClinicalTrials.gov identifier: NCT03411356.

Indexed as

Energy IntakeEnergy MetabolismObesityWeight LossAdultBody CompositionCaloric RestrictionFemaleHumansMaleMiddle AgedRegression AnalysisTime Factorscalorie restrictiondoubly labeled waterenergy balanceintake‐balance methodmetabolic adaptation

Identifiers

PMID40878019
PMCPMC12867485

What OpenQuestion holds

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LicenceTDM
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.