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The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity

BACKGROUND: Elderly people with low lean and high fat mass, are diagnosed with sarcopenic obesity (SO), and often have poor clinical outcomes. This study aimed to explore the relationship between obesity and sarcopenia, and the optimal proportion of fat and muscle for old individuals. METHODS: Parti...

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Autores principales: Liu, Chaoran, Cheng, Keith Yu-Kin, Tong, Xin, Cheung, Wing-Hoi, Chow, Simon Kwoon-Ho, Law, Sheung Wai, Wong, Ronald Man Yeung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016224/
https://www.ncbi.nlm.nih.gov/pubmed/36936175
http://dx.doi.org/10.3389/fendo.2023.1077255
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author Liu, Chaoran
Cheng, Keith Yu-Kin
Tong, Xin
Cheung, Wing-Hoi
Chow, Simon Kwoon-Ho
Law, Sheung Wai
Wong, Ronald Man Yeung
author_facet Liu, Chaoran
Cheng, Keith Yu-Kin
Tong, Xin
Cheung, Wing-Hoi
Chow, Simon Kwoon-Ho
Law, Sheung Wai
Wong, Ronald Man Yeung
author_sort Liu, Chaoran
collection PubMed
description BACKGROUND: Elderly people with low lean and high fat mass, are diagnosed with sarcopenic obesity (SO), and often have poor clinical outcomes. This study aimed to explore the relationship between obesity and sarcopenia, and the optimal proportion of fat and muscle for old individuals. METHODS: Participants aged 60 years or above were instructed to perform bioelectrical impedance analysis to obtain the muscle and fat indicators, and handgrip strength was also performed. Sarcopenia was diagnosed according to predicted appendicular skeletal muscle mass and function. Body mass index (BMI) and body fat percentage (BF%) were used to define obesity. The association of muscle and fat indicators were analyzed by Pearson’s correlation coefficient. Pearson Chi-Square test was utilized to estimate odds ratios (OR) and 95% confidence intervals (CI) on the risk of sarcopenia according to obesity status. RESULTS: 1637 old subjects (74.8 ± 7.8 years) participated in this study. Not only fat mass, but also muscle indicators were positively correlated to BMI and body weight (p < 0.05). Absolute muscle and fat mass in different positions had positive associations (p < 0.05). Muscle mass and strength were negatively related to appendicular fat mass percentage (p < 0.05). When defined by BMI (OR = 0.69, 95% CI [0.56, 0.86]; p = 0.001), obesity was a protective factor for sarcopenia, whilst it was a risk factor when using BF% (OR = 1.38, 95% CI [1.13, 1.69]; p = 0.002) as the definition. The risk of sarcopenia reduced with the increase of BMI in both genders. It was increased with raised BF% in males but displayed a U-shaped curve for females. BF% 26.0–34.6% in old females and lower than 23.9% in old males are recommended for sarcopenia and obesity prevention. CONCLUSION: Skeletal muscle mass had strong positive relationship with absolute fat mass but negative associations with the percentage of appendicular fat mass. Obesity was a risk factor of sarcopenia when defined by BF% instead of BMI. The management of BF% can accurately help elderly people prevent against both sarcopenia and obesity.
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spelling pubmed-100162242023-03-16 The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity Liu, Chaoran Cheng, Keith Yu-Kin Tong, Xin Cheung, Wing-Hoi Chow, Simon Kwoon-Ho Law, Sheung Wai Wong, Ronald Man Yeung Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Elderly people with low lean and high fat mass, are diagnosed with sarcopenic obesity (SO), and often have poor clinical outcomes. This study aimed to explore the relationship between obesity and sarcopenia, and the optimal proportion of fat and muscle for old individuals. METHODS: Participants aged 60 years or above were instructed to perform bioelectrical impedance analysis to obtain the muscle and fat indicators, and handgrip strength was also performed. Sarcopenia was diagnosed according to predicted appendicular skeletal muscle mass and function. Body mass index (BMI) and body fat percentage (BF%) were used to define obesity. The association of muscle and fat indicators were analyzed by Pearson’s correlation coefficient. Pearson Chi-Square test was utilized to estimate odds ratios (OR) and 95% confidence intervals (CI) on the risk of sarcopenia according to obesity status. RESULTS: 1637 old subjects (74.8 ± 7.8 years) participated in this study. Not only fat mass, but also muscle indicators were positively correlated to BMI and body weight (p < 0.05). Absolute muscle and fat mass in different positions had positive associations (p < 0.05). Muscle mass and strength were negatively related to appendicular fat mass percentage (p < 0.05). When defined by BMI (OR = 0.69, 95% CI [0.56, 0.86]; p = 0.001), obesity was a protective factor for sarcopenia, whilst it was a risk factor when using BF% (OR = 1.38, 95% CI [1.13, 1.69]; p = 0.002) as the definition. The risk of sarcopenia reduced with the increase of BMI in both genders. It was increased with raised BF% in males but displayed a U-shaped curve for females. BF% 26.0–34.6% in old females and lower than 23.9% in old males are recommended for sarcopenia and obesity prevention. CONCLUSION: Skeletal muscle mass had strong positive relationship with absolute fat mass but negative associations with the percentage of appendicular fat mass. Obesity was a risk factor of sarcopenia when defined by BF% instead of BMI. The management of BF% can accurately help elderly people prevent against both sarcopenia and obesity. Frontiers Media S.A. 2023-03-01 /pmc/articles/PMC10016224/ /pubmed/36936175 http://dx.doi.org/10.3389/fendo.2023.1077255 Text en Copyright © 2023 Liu, Cheng, Tong, Cheung, Chow, Law and Wong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Liu, Chaoran
Cheng, Keith Yu-Kin
Tong, Xin
Cheung, Wing-Hoi
Chow, Simon Kwoon-Ho
Law, Sheung Wai
Wong, Ronald Man Yeung
The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
title The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
title_full The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
title_fullStr The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
title_full_unstemmed The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
title_short The role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
title_sort role of obesity in sarcopenia and the optimal body composition to prevent against sarcopenia and obesity
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016224/
https://www.ncbi.nlm.nih.gov/pubmed/36936175
http://dx.doi.org/10.3389/fendo.2023.1077255
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