Evidence map›Paper›PMID 39921607›Full record

ArticleJournal of intellectual disability research : JIDR2025

A Comparison of Commonly Used Prediction Equations for Estimating Resting Metabolic Rate in Adults With Down Syndrome.

Brian C Helsel, Joseph R Sherman, Amy E Bodde, Richard A Washburn, Lauren T Ptomey

Abstract readComparative Study
In one paragraph

Article in Journal of intellectual disability research : JIDR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Pilot evaluation of a dance-based physical activity program for adults with Down syndrome.Translational journal of the American College of Sports Medicine · 2026
    Article
  3. 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

5 authors.

Brian C HelselUniversity of Kansas Alzheimer's Disease Research Center, Department of Neurology, The University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0003-3362-3581
Joseph R ShermanDivision of Physical Activity and Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.
Amy E BoddeDivision of Physical Activity and Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-8143-8105
Richard A WashburnDivision of Physical Activity and Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.
Lauren T PtomeyDivision of Physical Activity and Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-1705-1643

Funding

longitudinal assessment of stress and stress-related concepts across a behavioral weight loss interventionP20GM144269 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Chelsea L Kracht, John P Thyfault · 2022 to 2026
$14.9M
NRSA Training CoreTL1TR002368 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Jennifer Lynn Goldman, NICOLE L NOLLEN · 2017 to 2026
$4.0M
Remote Delivery of Weight Management in Adults with IDDR01DK114121 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI DONNELLY, JOSEPH E., PTOMEY, LAUREN TAYLOR · 2017 to 2021
$3.2M
Individual and family based approaches to increase physical activity in adolescents with IDDR01HD094704 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI DONNELLY, JOSEPH E., PTOMEY, LAUREN TAYLOR · 2018 to 2022
$3.0M
Assessment of Physical Activity for Alzheimer's Disease Research in Down SyndromeK01AG083130 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Brian Helsel · 2023 to 2026
$501k
NCATS NIH HHS TL1 TR002368NCATS NIH HHS TL1TR002368NIA NIH HHS K01 AG083130NIA NIH HHS K01AG083130NIA NIH HHS P20GM144269NICHD NIH HHS R01 HD094704NIDDK NIH HHS R01 DK114121NIGMS NIH HHS P20 GM144269
6 · The paper itself

Abstract

backgroundResting metabolic rate (RMR), the energy required by the body at rest, is the largest part of total daily energy expenditure. Commonly used prediction equations may overestimate RMR in adults with Down syndrome (DS). The purpose of this study was to assess the equivalency of prediction equations for estimating RMR in adults with DS.

methodsTwenty-five adults with DS (24 ± 5 years of age, 64% female) completed RMR assessments at an academic medical centre in the United States between November 2021 and July 2023. Measured RMR (kilocalories per day) was compared to estimated RMR from eight prediction equations using a null hypothesis significance (i.e., a paired t-test) and equivalence (i.e., a two one-sided test) tests. Bland-Altman plots, Pearson correlations and linear regressions were used to evaluate the bias between the measured and predicted RMR values.

resultsMeasured RMR in adults with DS was 1090 ± 136 kcal/day. Prediction equations overestimated RMR by 8 ± 16% (76 ± 165 kcal/day) to 45 ± 16% (488 ± 165 kcal/day) except for the Bernstein fat-free mass equation which underestimated RMR by 0.2 ± 11.5% (8 ± 123 kcal/day) and was statistically equivalent to measured RMR in our sample (p = 0.027).

conclusionsThe Bernstein fat-free mass equation offers better accuracy in adults with DS than other RMR prediction equations, but the equation needs to be evaluated in larger, more diverse samples of adults with DS.

Indexed as

Basal MetabolismDown SyndromeAdultFemaleHumansMaleYoung Adultdietdown syndromeenergy expenditureenergy intakeresting metabolic rate

Identifiers

PMID39921607
PMCPMC11968230

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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.