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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-7978348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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