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The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure

We determined whether metabolic syndrome (MetS) and the increasing number of its components influenced the resting energy expenditure (REE). Data on adult men (n = 72, 40%) and women (n = 108, 60%) from European (n = 154, 86%) and Sub-Saharan African (n = 26, 14%) ancestry were used. Ninety-five (53...

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Autores principales: Soares, Mario, Zhao, Yun, Calton, Emily, Pathak, Kaveri, Chan She Ping-Delfos, Wendy, Cummings, Nicola, Nsatimba, Patience
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414919/
https://www.ncbi.nlm.nih.gov/pubmed/36005594
http://dx.doi.org/10.3390/metabo12080722
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author Soares, Mario
Zhao, Yun
Calton, Emily
Pathak, Kaveri
Chan She Ping-Delfos, Wendy
Cummings, Nicola
Nsatimba, Patience
author_facet Soares, Mario
Zhao, Yun
Calton, Emily
Pathak, Kaveri
Chan She Ping-Delfos, Wendy
Cummings, Nicola
Nsatimba, Patience
author_sort Soares, Mario
collection PubMed
description We determined whether metabolic syndrome (MetS) and the increasing number of its components influenced the resting energy expenditure (REE). Data on adult men (n = 72, 40%) and women (n = 108, 60%) from European (n = 154, 86%) and Sub-Saharan African (n = 26, 14%) ancestry were used. Ninety-five (53%) participants had MetS (MetS+), while 85 (47%) were without MetS (MetS−). REE was determined through indirect calorimetry, body composition by DEXA, and clinical biochemistry by standard laboratory techniques. MetS+ had a significantly higher REE (mean ± se: MetS+: 5995 ± 87.3 vs. MetS−: 5760 ± 86.3 kJ/d, p = 0.025) when adjusted for age, gender, fat mass (FM), fat-free mass (FFM), ethnicity, season, 25OHD, insulin sensitivity, and time of data collection. Within each MetS status group, an increase in the number of components (C) resulted in a stepwise increase in REE. Relative to zero components, those with 1C had adjusted REE higher by +526 ± 248.1 kJ/d (p = 0.037), while 2C were higher than 1C by +298 ± 140.8 kJ/d (p = 0.037). Similarly, relative to 3C, those with 4C had REE higher by +242 ± 120.7 kJ/d (p = 0.049). The higher REE of 5C over 4C by 132 ± 174.5 kJ/d did not achieve statistical significance. MetS was associated with a significantly higher REE. This greater energetic cost varied directly with the numbers of its components but was most evident in those not diagnosed with the syndrome.
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spelling pubmed-94149192022-08-27 The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure Soares, Mario Zhao, Yun Calton, Emily Pathak, Kaveri Chan She Ping-Delfos, Wendy Cummings, Nicola Nsatimba, Patience Metabolites Article We determined whether metabolic syndrome (MetS) and the increasing number of its components influenced the resting energy expenditure (REE). Data on adult men (n = 72, 40%) and women (n = 108, 60%) from European (n = 154, 86%) and Sub-Saharan African (n = 26, 14%) ancestry were used. Ninety-five (53%) participants had MetS (MetS+), while 85 (47%) were without MetS (MetS−). REE was determined through indirect calorimetry, body composition by DEXA, and clinical biochemistry by standard laboratory techniques. MetS+ had a significantly higher REE (mean ± se: MetS+: 5995 ± 87.3 vs. MetS−: 5760 ± 86.3 kJ/d, p = 0.025) when adjusted for age, gender, fat mass (FM), fat-free mass (FFM), ethnicity, season, 25OHD, insulin sensitivity, and time of data collection. Within each MetS status group, an increase in the number of components (C) resulted in a stepwise increase in REE. Relative to zero components, those with 1C had adjusted REE higher by +526 ± 248.1 kJ/d (p = 0.037), while 2C were higher than 1C by +298 ± 140.8 kJ/d (p = 0.037). Similarly, relative to 3C, those with 4C had REE higher by +242 ± 120.7 kJ/d (p = 0.049). The higher REE of 5C over 4C by 132 ± 174.5 kJ/d did not achieve statistical significance. MetS was associated with a significantly higher REE. This greater energetic cost varied directly with the numbers of its components but was most evident in those not diagnosed with the syndrome. MDPI 2022-08-05 /pmc/articles/PMC9414919/ /pubmed/36005594 http://dx.doi.org/10.3390/metabo12080722 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Soares, Mario
Zhao, Yun
Calton, Emily
Pathak, Kaveri
Chan She Ping-Delfos, Wendy
Cummings, Nicola
Nsatimba, Patience
The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure
title The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure
title_full The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure
title_fullStr The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure
title_full_unstemmed The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure
title_short The Impact of the Metabolic Syndrome and Its Components on Resting Energy Expenditure
title_sort impact of the metabolic syndrome and its components on resting energy expenditure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414919/
https://www.ncbi.nlm.nih.gov/pubmed/36005594
http://dx.doi.org/10.3390/metabo12080722
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