Trunk muscle quality and quantity predict the development of metabolic syndrome and the increase in the number of its components in individuals without metabolic syndrome.


Journal

Nutrition, metabolism, and cardiovascular diseases : NMCD
ISSN: 1590-3729
Titre abrégé: Nutr Metab Cardiovasc Dis
Pays: Netherlands
ID NLM: 9111474

Informations de publication

Date de publication:
25 06 2020
Historique:
received: 30 10 2019
revised: 25 02 2020
accepted: 28 02 2020
pubmed: 26 5 2020
medline: 21 10 2020
entrez: 26 5 2020
Statut: ppublish

Résumé

The metabolic syndrome has been reported by cross-sectional studies to have an association with skeletal muscle quality and quantity. Using a longitudinal study design, this study aimed to explicate the association between muscle characteristics assessed with computed tomography (CT) and the incidence and progression of metabolic syndrome. In this retrospective study on a cohort of employees undergoing annual physical examinations, we evaluated data from 554 participants without metabolic syndrome. The cross-sectional skeletal muscle area was determined based on CT data at the level of the third lumbar vertebra, and the skeletal muscle density (SMD) and skeletal muscle index (SMI) were measured. The participants were divided into four study groups according to the sex-specific median values for SMI and SMD. We followed the participants for a mean period of 3.1 years. In the sex- and age-adjusted model, SMI and SMD had an interaction effect on the longitudinal change in number of metabolic syndrome components (β = -0.074, p = 0.0727). Multiple regression analyses revealed that both low SMI and SMD was significantly associated with the change (β = 0.131, p = 0.0281), whereas the low SMI and high SMD, and high SMI and low SMD were not. Both low SMI and SMD (hazard ratio (HR), 2.42; 95% confidence interval, 1.28-4.78) showed an increased adjusted HR for incident metabolic syndrome. The participants with both low quality and quantity of skeletal muscles were associated with the incidence and progression of metabolic syndrome, whereas those with only low quantity or quality of skeletal muscles were not.

Sections du résumé

BACKGROUND AND AIMS
The metabolic syndrome has been reported by cross-sectional studies to have an association with skeletal muscle quality and quantity. Using a longitudinal study design, this study aimed to explicate the association between muscle characteristics assessed with computed tomography (CT) and the incidence and progression of metabolic syndrome.
METHODS AND RESULTS
In this retrospective study on a cohort of employees undergoing annual physical examinations, we evaluated data from 554 participants without metabolic syndrome. The cross-sectional skeletal muscle area was determined based on CT data at the level of the third lumbar vertebra, and the skeletal muscle density (SMD) and skeletal muscle index (SMI) were measured. The participants were divided into four study groups according to the sex-specific median values for SMI and SMD. We followed the participants for a mean period of 3.1 years. In the sex- and age-adjusted model, SMI and SMD had an interaction effect on the longitudinal change in number of metabolic syndrome components (β = -0.074, p = 0.0727). Multiple regression analyses revealed that both low SMI and SMD was significantly associated with the change (β = 0.131, p = 0.0281), whereas the low SMI and high SMD, and high SMI and low SMD were not. Both low SMI and SMD (hazard ratio (HR), 2.42; 95% confidence interval, 1.28-4.78) showed an increased adjusted HR for incident metabolic syndrome.
CONCLUSION
The participants with both low quality and quantity of skeletal muscles were associated with the incidence and progression of metabolic syndrome, whereas those with only low quantity or quality of skeletal muscles were not.

Identifiants

pubmed: 32448718
pii: S0939-4753(20)30074-0
doi: 10.1016/j.numecd.2020.02.021
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1161-1168

Informations de copyright

Copyright © 2020 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Muhei Tanaka (M)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan. Electronic address: muhei-t@koto.kpu-m.ac.jp.

Hiroshi Okada (H)

Department of Internal Medicine, Matsushita Memorial Hospital, Osaka, Japan.

Yoshitaka Hashimoto (Y)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

Muneaki Kumagai (M)

Medical Corporation Soukenkai, Nishimura Clinic, Kyoto, Japan.

Hiromi Nishimura (H)

Medical Corporation Soukenkai, Nishimura Clinic, Kyoto, Japan.

Michiaki Fukui (M)

Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

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