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Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population

OBJECTIVES: Metabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS in comparison to usual obesity indicators in an older adult population. DESIGN:...

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Autores principales: Ntougou Assoumou, Hourfil-Gabin, Pichot, Vincent, Barthelemy, Jean-Claude, Celle, Sébastien, Garcin, Arnauld, Thomas, Thierry, Roche, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173621/
https://www.ncbi.nlm.nih.gov/pubmed/37165462
http://dx.doi.org/10.1186/s13098-023-01078-x
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author Ntougou Assoumou, Hourfil-Gabin
Pichot, Vincent
Barthelemy, Jean-Claude
Celle, Sébastien
Garcin, Arnauld
Thomas, Thierry
Roche, Frédéric
author_facet Ntougou Assoumou, Hourfil-Gabin
Pichot, Vincent
Barthelemy, Jean-Claude
Celle, Sébastien
Garcin, Arnauld
Thomas, Thierry
Roche, Frédéric
author_sort Ntougou Assoumou, Hourfil-Gabin
collection PubMed
description OBJECTIVES: Metabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS in comparison to usual obesity indicators in an older adult population. DESIGN: : The PROgnostic indicator OF cardiovascular and cerebrovascular events (PROOF) study is a prospective longitudinal community cohort study among the inhabitants of Saint-Etienne, France. METHODS: The study is a cohort study of 1011 subjects, mean age 65.6 ± 0.8 years old at inclusion, recruited from the electoral list of the town in 2000. Among them, 806 subjects realized a Dual-energy X-ray absorptiometry (DXA) used to evaluate body fat and lean mass repartition. We evaluate biological metabolic parameters according to usual techniques. The indices of obesity were calculated according to standard formula. MS presence and its components were simultaneously evaluated. RESULTS: All obesity parameters were significantly higher (p < 0.0001) in subjects suffering metabolic syndrome as compared to those without. Body fat index (BFI) presented a stronger correlation to total fat mass, trunk fat mass and body adiposity index (BAI). The correlations between body indices and metabolic components showed that body mass index (BMI) and waist circumference were more strongly associated with BFI as compared to BAI and total fat mass. According to logistic regression analysis, only the waist-hip ratio (WHR) demonstrated a significant association with MS severity (p < 0.0001). CONCLUSIONS: Among the obesity indices, BFI and BAI represented the best indicators to characterize global obesity while WHR only is highly predictive of metabolic syndrome presence and severity. The BAI indicator is an alternative for measuring obesity. Comparison of long-term impact of such markers on cardiovascular morbidity and mortality is now questioned.
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spelling pubmed-101736212023-05-12 Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population Ntougou Assoumou, Hourfil-Gabin Pichot, Vincent Barthelemy, Jean-Claude Celle, Sébastien Garcin, Arnauld Thomas, Thierry Roche, Frédéric Diabetol Metab Syndr Research OBJECTIVES: Metabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS in comparison to usual obesity indicators in an older adult population. DESIGN: : The PROgnostic indicator OF cardiovascular and cerebrovascular events (PROOF) study is a prospective longitudinal community cohort study among the inhabitants of Saint-Etienne, France. METHODS: The study is a cohort study of 1011 subjects, mean age 65.6 ± 0.8 years old at inclusion, recruited from the electoral list of the town in 2000. Among them, 806 subjects realized a Dual-energy X-ray absorptiometry (DXA) used to evaluate body fat and lean mass repartition. We evaluate biological metabolic parameters according to usual techniques. The indices of obesity were calculated according to standard formula. MS presence and its components were simultaneously evaluated. RESULTS: All obesity parameters were significantly higher (p < 0.0001) in subjects suffering metabolic syndrome as compared to those without. Body fat index (BFI) presented a stronger correlation to total fat mass, trunk fat mass and body adiposity index (BAI). The correlations between body indices and metabolic components showed that body mass index (BMI) and waist circumference were more strongly associated with BFI as compared to BAI and total fat mass. According to logistic regression analysis, only the waist-hip ratio (WHR) demonstrated a significant association with MS severity (p < 0.0001). CONCLUSIONS: Among the obesity indices, BFI and BAI represented the best indicators to characterize global obesity while WHR only is highly predictive of metabolic syndrome presence and severity. The BAI indicator is an alternative for measuring obesity. Comparison of long-term impact of such markers on cardiovascular morbidity and mortality is now questioned. BioMed Central 2023-05-11 /pmc/articles/PMC10173621/ /pubmed/37165462 http://dx.doi.org/10.1186/s13098-023-01078-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ntougou Assoumou, Hourfil-Gabin
Pichot, Vincent
Barthelemy, Jean-Claude
Celle, Sébastien
Garcin, Arnauld
Thomas, Thierry
Roche, Frédéric
Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
title Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
title_full Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
title_fullStr Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
title_full_unstemmed Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
title_short Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
title_sort obesity related to metabolic syndrome: comparison of obesity indicators in an older french population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173621/
https://www.ncbi.nlm.nih.gov/pubmed/37165462
http://dx.doi.org/10.1186/s13098-023-01078-x
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