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

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Title: A Comparison of Commonly Used Prediction Equations for Estimating Resting Metabolic Rate in Adults With Down Syndrome.
Authors: Helsel, Brian C., Sherman, Joseph R., Bodde, Amy E., Washburn, Richard A., Ptomey, Lauren T.
Source: Journal of Intellectual Disability Research. May2025, Vol. 69 Issue 5, p428-436. 9p.
Subjects: Basal metabolism, Pearson correlation (Statistics), Down syndrome, Prediction models, Research funding, Academic medical centers, T-test (Statistics), Descriptive statistics, Lean body mass, Comparative studies, Regression analysis
Geographic Terms: United States
Abstract: Background: Resting 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. Methods: Twenty‐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. Results: Measured 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). Conclusions: The 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intellectual Disability Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: A Comparison of Commonly Used Prediction Equations for Estimating Resting Metabolic Rate in Adults With Down Syndrome.
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  Data: <searchLink fieldCode="AR" term="%22Helsel%2C+Brian C%2E%22">Helsel, Brian C.</searchLink><br /><searchLink fieldCode="AR" term="%22Sherman%2C+Joseph R%2E%22">Sherman, Joseph R.</searchLink><br /><searchLink fieldCode="AR" term="%22Bodde%2C+Amy E%2E%22">Bodde, Amy E.</searchLink><br /><searchLink fieldCode="AR" term="%22Washburn%2C+Richard A%2E%22">Washburn, Richard A.</searchLink><br /><searchLink fieldCode="AR" term="%22Ptomey%2C+Lauren T%2E%22">Ptomey, Lauren T.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intellectual+Disability+Research%22">Journal of Intellectual Disability Research</searchLink>. May2025, Vol. 69 Issue 5, p428-436. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Basal+metabolism%22">Basal metabolism</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Down+syndrome%22">Down syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+medical+centers%22">Academic medical centers</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Lean+body+mass%22">Lean body mass</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
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  Label: Abstract
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  Data: Background: Resting 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. Methods: Twenty‐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. Results: Measured 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). Conclusions: The 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Intellectual Disability Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1111/jir.13215
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 428
    Subjects:
      – SubjectFull: Basal metabolism
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Down syndrome
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Academic medical centers
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Lean body mass
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: A Comparison of Commonly Used Prediction Equations for Estimating Resting Metabolic Rate in Adults With Down Syndrome.
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            NameFull: Helsel, Brian C.
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            NameFull: Sherman, Joseph R.
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            NameFull: Bodde, Amy E.
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            NameFull: Washburn, Richard A.
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              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 69
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