Literature DB >> 26265728

Identifying Sarcopenia in Metabolic Syndrome: Data from the Berlin Aging Study II.

Nikolaus Buchmann1, Jivko Nikolov1, Dominik Spira1, Ilja Demuth2, Elisabeth Steinhagen-Thiessen1, Rahel Eckardt1, Kristina Norman3.   

Abstract

BACKGROUND: The metabolic syndrome (MetS) is a cluster of cardiovascular risk factors which has been linked with a decline in muscle mass. However, with a variety of sarcopenia definitions, it is unclear which approach is suitable to detect reduced muscle mass in subjects with MetS who are frequently characterized by an increased fat mass and higher body weight.
METHODS: We analyzed cross-sectional data of 1,402 (51.1% female; 69±3.7 years) old community-dwelling subjects of the Berlin Aging Study II. MetS was defined according to the guidelines of the International Diabetes Federation/American Heart Association/National Heart, Lung, and Blood Institute (IDF/AHA/NHLBI, 2009). Sarcopenia was defined as suggested by Baumgartner et al. (low appendicular lean mass corrected for height, ALM/HT(2)) and according to standardized residuals following the approach suggested by Newman et al., which corrects appendicular lean mass (ALM) for weight and height.
RESULTS: MetS was identified in 35% of the participants, 25.6% had sarcopenia according to ALM/HT(2), 20% according to the residual approach. We compared the two operational parameters and found that the majority of physical and metabolic parameters were more impaired and self-reported difficulties in physical performance were greater in individuals defined sarcopenic according to residuals than subjects who were sarcopenic according to a low ALM/HT(2).
CONCLUSION: Our results indicate that an approach to define sarcopenia which corrects ALM both for height and weight is more suitable to detect increased physical limitations as well as higher metabolic impairment, compared to adjustment of ALM only for height.
© The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Metabolic syndrome; Physical function; Sarcopenia

Mesh:

Year:  2015        PMID: 26265728     DOI: 10.1093/gerona/glv089

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  7 in total

1.  Prevalence of Metabolic Syndrome and Association with Physical Activity and Frailty Status in Spanish Older Adults with Decreased Functional Capacity: A Cross-Sectional Study.

Authors:  Jorge Subías-Perié; David Navarrete-Villanueva; Ángel Iván Fernández-García; Ana Moradell; Eva Gesteiro; Jorge Pérez-Gómez; Ignacio Ara; Germán Vicente-Rodríguez; José Antonio Casajús; Alba Gómez-Cabello
Journal:  Nutrients       Date:  2022-05-30       Impact factor: 6.706

2.  The Association between Red Blood Cell Distribution Width and Sarcopenia in U.S. Adults.

Authors:  Junghoon Kim; Jeong-Soo Im; Chang Hyu Choi; Chul Hyun Park; Jae Ik Lee; Kuk Hui Son; Yoon-Hyeong Choi
Journal:  Sci Rep       Date:  2018-07-31       Impact factor: 4.379

3.  Validation of a single factor representing the indicators of metabolic syndrome as a continuous measure of metabolic load and its association with health and cognitive function.

Authors:  Sandra Düzel; Nikolaus Buchmann; Johanna Drewelies; Denis Gerstorf; Ulman Lindenberger; Elisabeth Steinhagen-Thiessen; Kristina Norman; Ilja Demuth
Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

4.  Associations between Sarcopenia and Metabolic Risk Factors: A Systematic Review and Meta-Analysis.

Authors:  Yang Du; Chorong Oh; Jaekyung No
Journal:  J Obes Metab Syndr       Date:  2018-09-30

5.  Presarcopenia Is an Independent Risk Factor for Carotid Atherosclerosis in Chinese Population with Metabolic Syndrome.

Authors:  Yuan Cao; Ming Zhong; Yuke Zhang; Zijie Zheng; Yapeng Liu; Xiaoning Ni; Lu Han; Ming Song; Wei Zhang; Zhihao Wang
Journal:  Diabetes Metab Syndr Obes       Date:  2020-01-09       Impact factor: 3.168

6.  Sex Differences of Sarcopenia in an Elderly Asian Population: The Prevalence and Risk Factors.

Authors:  Jongseok Hwang; Soonjee Park
Journal:  Int J Environ Res Public Health       Date:  2022-09-22       Impact factor: 4.614

7.  Muscle Mass and Inflammation in Older Adults: Impact of the Metabolic Syndrome.

Authors:  Nikolaus Buchmann; Jens Fielitz; Dominik Spira; Maximilian König; Kristina Norman; Graham Pawelec; David Goldeck; Ilja Demuth; Elisabeth Steinhagen-Thiessen
Journal:  Gerontology       Date:  2022-01-31       Impact factor: 5.597

  7 in total

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