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Association between sarcopenia level and metabolic syndrome

AIMS: Metabolic syndrome (MetS) increases the risk of diabetes mellitus (DM), cardiovascular disease (CVD), cancer, and mortality. Sarcopenia has been reported as a risk factor for MetS, non-alcoholic fatty liver disease, and CVD. To date, the association between sarcopenia and MetS has been investi...

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Autores principales: Kim, Su Hwan, Jeong, Ji Bong, Kang, Jinwoo, Ahn, Dong-Won, Kim, Ji Won, Kim, Byeong Gwan, Lee, Kook Lae, Oh, Sohee, Yoon, Soon Ho, Park, Sang Joon, Lee, Doo Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978348/
https://www.ncbi.nlm.nih.gov/pubmed/33739984
http://dx.doi.org/10.1371/journal.pone.0248856
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author Kim, Su Hwan
Jeong, Ji Bong
Kang, Jinwoo
Ahn, Dong-Won
Kim, Ji Won
Kim, Byeong Gwan
Lee, Kook Lae
Oh, Sohee
Yoon, Soon Ho
Park, Sang Joon
Lee, Doo Hee
author_facet Kim, Su Hwan
Jeong, Ji Bong
Kang, Jinwoo
Ahn, Dong-Won
Kim, Ji Won
Kim, Byeong Gwan
Lee, Kook Lae
Oh, Sohee
Yoon, Soon Ho
Park, Sang Joon
Lee, Doo Hee
author_sort Kim, Su Hwan
collection PubMed
description AIMS: Metabolic syndrome (MetS) increases the risk of diabetes mellitus (DM), cardiovascular disease (CVD), cancer, and mortality. Sarcopenia has been reported as a risk factor for MetS, non-alcoholic fatty liver disease, and CVD. To date, the association between sarcopenia and MetS has been investigated. However, there have been few studies on the dose-response relationship between sarcopenia and MetS. We investigated the association between sarcopenia and the prevalence of MetS. We also aimed to analyze the dose-response relationship between skeletal muscle mass and the prevalence of MetS. METHODS: We enrolled 13,620 participants from October 2014 to December 2019. Skeletal muscle mass was measured using bioelectrical impedance analysis (BIA). Appendicular skeletal muscle mass (ASM) was divided by body weight (kg) and was expressed as a percentage (ASM x 100/Weight, ASM%). The quartiles of ASM% were calculated for each gender, with Q1 and Q4 being the lowest and highest quartiles of ASM%, respectively. The quartiles of ASM% were calculated for each gender, with Q1 and Q4 being the lowest and highest quartiles of ASM%, respectively. Linear regression and logistic regression analyses were used to compare the clinical parameters according to ASM%, adjusted for age, sex, obesity, hypertension (HT), DM, dyslipidemia (DL), smoking, alcohol intake, and C-reactive protein (CRP). Multiple logistic regression analysis was performed to determine the risk of MetS in each group. RESULTS: A dose-response relationship was identified between ASM% and MetS. Sarcopenia was associated with an increased prevalence of MetS. After adjustment for age, sex, obesity, HT, DM, DL, smoking, alcohol intake, and CRP, sarcopenia remained significantly associated with MetS. For each 1 quartile increment in ASM%, the risk of MetS decreased by 56% (P< 0.001). After adjusting for age, sex, obesity, HT, DM, DL, smoking, alcohol intake, and CRP, the risk of MetS decreased by 25% per 1Q increment in ASM% (P < 0.001). CONCLUSIONS: Sarcopenia by BIA is independently associated with the risk of MetS and has a dose-response relationship.
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spelling pubmed-79783482021-03-30 Association between sarcopenia level and metabolic syndrome Kim, Su Hwan Jeong, Ji Bong Kang, Jinwoo Ahn, Dong-Won Kim, Ji Won Kim, Byeong Gwan Lee, Kook Lae Oh, Sohee Yoon, Soon Ho Park, Sang Joon Lee, Doo Hee PLoS One Research Article AIMS: Metabolic syndrome (MetS) increases the risk of diabetes mellitus (DM), cardiovascular disease (CVD), cancer, and mortality. Sarcopenia has been reported as a risk factor for MetS, non-alcoholic fatty liver disease, and CVD. To date, the association between sarcopenia and MetS has been investigated. However, there have been few studies on the dose-response relationship between sarcopenia and MetS. We investigated the association between sarcopenia and the prevalence of MetS. We also aimed to analyze the dose-response relationship between skeletal muscle mass and the prevalence of MetS. METHODS: We enrolled 13,620 participants from October 2014 to December 2019. Skeletal muscle mass was measured using bioelectrical impedance analysis (BIA). Appendicular skeletal muscle mass (ASM) was divided by body weight (kg) and was expressed as a percentage (ASM x 100/Weight, ASM%). The quartiles of ASM% were calculated for each gender, with Q1 and Q4 being the lowest and highest quartiles of ASM%, respectively. The quartiles of ASM% were calculated for each gender, with Q1 and Q4 being the lowest and highest quartiles of ASM%, respectively. Linear regression and logistic regression analyses were used to compare the clinical parameters according to ASM%, adjusted for age, sex, obesity, hypertension (HT), DM, dyslipidemia (DL), smoking, alcohol intake, and C-reactive protein (CRP). Multiple logistic regression analysis was performed to determine the risk of MetS in each group. RESULTS: A dose-response relationship was identified between ASM% and MetS. Sarcopenia was associated with an increased prevalence of MetS. After adjustment for age, sex, obesity, HT, DM, DL, smoking, alcohol intake, and CRP, sarcopenia remained significantly associated with MetS. For each 1 quartile increment in ASM%, the risk of MetS decreased by 56% (P< 0.001). After adjusting for age, sex, obesity, HT, DM, DL, smoking, alcohol intake, and CRP, the risk of MetS decreased by 25% per 1Q increment in ASM% (P < 0.001). CONCLUSIONS: Sarcopenia by BIA is independently associated with the risk of MetS and has a dose-response relationship. Public Library of Science 2021-03-19 /pmc/articles/PMC7978348/ /pubmed/33739984 http://dx.doi.org/10.1371/journal.pone.0248856 Text en © 2021 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kim, Su Hwan
Jeong, Ji Bong
Kang, Jinwoo
Ahn, Dong-Won
Kim, Ji Won
Kim, Byeong Gwan
Lee, Kook Lae
Oh, Sohee
Yoon, Soon Ho
Park, Sang Joon
Lee, Doo Hee
Association between sarcopenia level and metabolic syndrome
title Association between sarcopenia level and metabolic syndrome
title_full Association between sarcopenia level and metabolic syndrome
title_fullStr Association between sarcopenia level and metabolic syndrome
title_full_unstemmed Association between sarcopenia level and metabolic syndrome
title_short Association between sarcopenia level and metabolic syndrome
title_sort association between sarcopenia level and metabolic syndrome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978348/
https://www.ncbi.nlm.nih.gov/pubmed/33739984
http://dx.doi.org/10.1371/journal.pone.0248856
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