Evidence map›Paper›PMID 34123400›Full record

ArticleObesity science & practice2021

Using measured resting metabolic rate to derive calorie prescriptions in a behavioral weight loss program.

Autumn Lanoye, Ronald K Evans, Tricia M Leahey, Jessica G LaRose

Abstract read
In one paragraph

Article in Obesity science & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

4 authors.

Autumn LanoyeDepartment of Health Behavior and Policy Virginia Commonwealth University School of Medicine Richmond Virginia USA.ORCID https://orcid.org/0000-0003-3705-0880
Ronald K EvansDepartment of Kinesiology and Health Sciences Virginia Commonwealth University College of Humanities and Sciences Richmond Virginia USA.
Tricia M LeaheyInstitute for Collaboration on Health, Intervention, and Policy University of Connecticut Storrs Connecticut USA.
Jessica G LaRoseDepartment of Health Behavior and Policy Virginia Commonwealth University School of Medicine Richmond Virginia USA.ORCID https://orcid.org/0000-0001-6497-4814

Funding

Low Intensity Weight Loss for Young Adults: Autonomous vs. Extrinsic MotivationR01DK103668 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI LAROSE, JESSICA GOKEE · 2014 to 2018
$3.1M
NIDDK NIH HHS R01 DK103668
6 · The paper itself

Abstract

objectiveWithin behavioral weight loss (BWL) programs, using measured resting metabolic rate (RMR) is a more accurate-yet costlier-alternative to the standard method of assigning calorie prescriptions using baseline weight. This investigation aimed to assess differences between calorie goals prescribed using each method including demographic predictors and associations with weight loss.

methodsThis is an ancillary study to a trial comparing approaches to motivational enhancement in a 6-months BWL program designed for emerging adults age 18-25 (

resultsStandard calorie prescriptions were significantly higher than those derived from RMR. Sex and race were significant predictors of calorie prescription discrepancies: using the standard method, women and Black participants were assigned higher calorie goals than their RMR would indicate. Calorie goal discrepancy did not predict 6-months weight change.

conclusionsDifferences in calorie prescriptions between approaches were significant; however, it remains to be determined whether measuring RMR is worth the cost, time, and participant burden. It may be the case that this consideration has greater impact for certain subgroups-namely, women and Black participants.

Indexed as

behavioral weight lossdietary prescriptionsindirect calorimetry

Identifiers

PMID34123400
PMCPMC8170564

What OpenQuestion holds

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Registered trials

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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.