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Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages

The objective was to investigate which predictive equations provide the best estimates of resting energy expenditure (REE) in postpartum women with overweight and obesity. Lactating women with overweight or obesity underwent REE measurement by indirect calorimetry, and fat-free mass (FFM) was assess...

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Autores principales: Halland Nesse, Siri, Ottestad, Inger, Winkvist, Anna, Bertz, Fredrik, Ellegård, Lars, Brekke, Hilde K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443793/
https://www.ncbi.nlm.nih.gov/pubmed/32913643
http://dx.doi.org/10.1017/jns.2020.16
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author Halland Nesse, Siri
Ottestad, Inger
Winkvist, Anna
Bertz, Fredrik
Ellegård, Lars
Brekke, Hilde K.
author_facet Halland Nesse, Siri
Ottestad, Inger
Winkvist, Anna
Bertz, Fredrik
Ellegård, Lars
Brekke, Hilde K.
author_sort Halland Nesse, Siri
collection PubMed
description The objective was to investigate which predictive equations provide the best estimates of resting energy expenditure (REE) in postpartum women with overweight and obesity. Lactating women with overweight or obesity underwent REE measurement by indirect calorimetry, and fat-free mass (FFM) was assessed by dual-energy X-ray absorptiometry at three postpartum stages. Predictive equations based on body weight and FFM were obtained from the literature. Performance of the predictive equations were analysed as the percentage of women whose REE was accurately predicted, defined as a predicted REE within ±10 % of measured REE. REE data were available for women at 10 weeks (n 71), 24 weeks (n 64) and 15 months (n 57) postpartum. Thirty-six predictive equations (twenty-five weight-based and eleven FFM-based) were validated. REE was accurately predicted in ≥80 % of women at all postpartum visits by six predictive equations (two weight-based and four FFM-based). The weight-based equation with the highest performance was that of Henry (weight, height, age 30–60 years) (Henry(WH30−60)), with an overall mean of 83 % accurate predictions. The Henry(WH30−60) equation was highly suitable for predicting REE at all postpartum visits (irrespective of the women's actual age), and the performance was sustained across changes in weight and lactation status. No FFM-based equation was remarkably superior to Henry(WH30−60) for the total postpartum period.
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spelling pubmed-74437932020-09-09 Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages Halland Nesse, Siri Ottestad, Inger Winkvist, Anna Bertz, Fredrik Ellegård, Lars Brekke, Hilde K. J Nutr Sci Research Article The objective was to investigate which predictive equations provide the best estimates of resting energy expenditure (REE) in postpartum women with overweight and obesity. Lactating women with overweight or obesity underwent REE measurement by indirect calorimetry, and fat-free mass (FFM) was assessed by dual-energy X-ray absorptiometry at three postpartum stages. Predictive equations based on body weight and FFM were obtained from the literature. Performance of the predictive equations were analysed as the percentage of women whose REE was accurately predicted, defined as a predicted REE within ±10 % of measured REE. REE data were available for women at 10 weeks (n 71), 24 weeks (n 64) and 15 months (n 57) postpartum. Thirty-six predictive equations (twenty-five weight-based and eleven FFM-based) were validated. REE was accurately predicted in ≥80 % of women at all postpartum visits by six predictive equations (two weight-based and four FFM-based). The weight-based equation with the highest performance was that of Henry (weight, height, age 30–60 years) (Henry(WH30−60)), with an overall mean of 83 % accurate predictions. The Henry(WH30−60) equation was highly suitable for predicting REE at all postpartum visits (irrespective of the women's actual age), and the performance was sustained across changes in weight and lactation status. No FFM-based equation was remarkably superior to Henry(WH30−60) for the total postpartum period. Cambridge University Press 2020-08-07 /pmc/articles/PMC7443793/ /pubmed/32913643 http://dx.doi.org/10.1017/jns.2020.16 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by-nc-sa/4.0/ http://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
spellingShingle Research Article
Halland Nesse, Siri
Ottestad, Inger
Winkvist, Anna
Bertz, Fredrik
Ellegård, Lars
Brekke, Hilde K.
Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
title Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
title_full Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
title_fullStr Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
title_full_unstemmed Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
title_short Predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
title_sort predictive equations for estimating resting energy expenditure in women with overweight and obesity at three postpartum stages
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443793/
https://www.ncbi.nlm.nih.gov/pubmed/32913643
http://dx.doi.org/10.1017/jns.2020.16
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