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Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population

Dysmobility syndrome (DMS) was considered as a comprehensive approach to evaluate the condition of musculoskeletal system and adverse health problems in older population. The objective of our study was to examine the association between metabolic syndrome (MetS) and DMS in a U.S. adult population. 1...

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Autores principales: Chen, Yuan-Yuei, Kao, Tung-Wei, Wang, Chung-Ching, Chen, Ying-Jen, Wu, Chen-Jung, Chen, Wei-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289450/
https://www.ncbi.nlm.nih.gov/pubmed/30533044
http://dx.doi.org/10.1371/journal.pone.0207608
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author Chen, Yuan-Yuei
Kao, Tung-Wei
Wang, Chung-Ching
Chen, Ying-Jen
Wu, Chen-Jung
Chen, Wei-Liang
author_facet Chen, Yuan-Yuei
Kao, Tung-Wei
Wang, Chung-Ching
Chen, Ying-Jen
Wu, Chen-Jung
Chen, Wei-Liang
author_sort Chen, Yuan-Yuei
collection PubMed
description Dysmobility syndrome (DMS) was considered as a comprehensive approach to evaluate the condition of musculoskeletal system and adverse health problems in older population. The objective of our study was to examine the association between metabolic syndrome (MetS) and DMS in a U.S. adult population. 1760 eligible participants from the National Health and Nutrition Examination Survey (NHANES) 1999–2002 were enrolled in the study. The criteria of DMS consisted of six domains including increased body fat, declined muscle mass, reduced muscle strength, osteoporosis, slow gait speed, and balance problem. A multivariate regression analysis was investigated to clarify the relationship among MetS and its components and DMS. A positive association between increased number of MetS components and the presence of DMS achieved significance (β = 0.142, 95%CI = 0.035, 0.249, p = 0.009). Among the components of MetS, hyperglycemia had a central place in the DMS after adjustment of clinical variables (β = 0.083, 95%CI = 0.030, 0.136, p = 0.002). Notably, insulin resistance assessed by homeostatic model assessment (HOMA-IR) was correlated to increased body fat (r = 0.092, p<0.05), osteoporosis (r = -0.105, p<0.05) and balance (r = 0.105, p<0.05) among these participants with MetS. Our study demonstrated a strong relationship between DMS and the presence of MetS and its components in elderly population, highlighting a possible mechanism through insulin resistance.
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spelling pubmed-62894502018-12-28 Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population Chen, Yuan-Yuei Kao, Tung-Wei Wang, Chung-Ching Chen, Ying-Jen Wu, Chen-Jung Chen, Wei-Liang PLoS One Research Article Dysmobility syndrome (DMS) was considered as a comprehensive approach to evaluate the condition of musculoskeletal system and adverse health problems in older population. The objective of our study was to examine the association between metabolic syndrome (MetS) and DMS in a U.S. adult population. 1760 eligible participants from the National Health and Nutrition Examination Survey (NHANES) 1999–2002 were enrolled in the study. The criteria of DMS consisted of six domains including increased body fat, declined muscle mass, reduced muscle strength, osteoporosis, slow gait speed, and balance problem. A multivariate regression analysis was investigated to clarify the relationship among MetS and its components and DMS. A positive association between increased number of MetS components and the presence of DMS achieved significance (β = 0.142, 95%CI = 0.035, 0.249, p = 0.009). Among the components of MetS, hyperglycemia had a central place in the DMS after adjustment of clinical variables (β = 0.083, 95%CI = 0.030, 0.136, p = 0.002). Notably, insulin resistance assessed by homeostatic model assessment (HOMA-IR) was correlated to increased body fat (r = 0.092, p<0.05), osteoporosis (r = -0.105, p<0.05) and balance (r = 0.105, p<0.05) among these participants with MetS. Our study demonstrated a strong relationship between DMS and the presence of MetS and its components in elderly population, highlighting a possible mechanism through insulin resistance. Public Library of Science 2018-12-11 /pmc/articles/PMC6289450/ /pubmed/30533044 http://dx.doi.org/10.1371/journal.pone.0207608 Text en © 2018 Chen 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
Chen, Yuan-Yuei
Kao, Tung-Wei
Wang, Chung-Ching
Chen, Ying-Jen
Wu, Chen-Jung
Chen, Wei-Liang
Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
title Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
title_full Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
title_fullStr Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
title_full_unstemmed Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
title_short Exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
title_sort exploring the link between metabolic syndrome and risk of dysmobility syndrome in elderly population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289450/
https://www.ncbi.nlm.nih.gov/pubmed/30533044
http://dx.doi.org/10.1371/journal.pone.0207608
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