Prevalence of low muscle mass according to body mass index in older adults
Graf CE, Pichard C, Herrmann FR, Sieber C, Zekry D, Genton L (2017)
Publication Status: Published
Publication Type: Journal article
Publication year: 2017
Journal
Publisher: ELSEVIER SCIENCE INC
Book Volume: 34
Pages Range: 124-129
DOI: 10.1016/j.nut.2016.10.002
Abstract
Objective: Low muscle mass has been associated with increased morbi-mortality and should be identified for optimizing preventive and therapeutic strategies. This study evaluates the prevalence of bioelectrical impedance analysis (BIA)-derived low muscle mass in older persons using definitions found through a systematic literature search and determines the link between body mass index (BMI) and low muscle mass.Methods: We performed a systematic search of trials involving >= 100 persons that derived low muscle mass from BIA and reported cut-offs for low muscle mass normalized for body height or weight. These cut-offs were applied to all adults >= 65 y who underwent a BIA measurement at Geneva University Hospital between 1990 and 2011 (N = 3181). The association between BMI and low muscle mass was evaluated through multivariate logistic regressions.Results: We identified 15 cut-offs based on the fat-free mass index (FFMI), skeletal muscle index (SMI), or skeletal muscle percentage (SMP). Depending on the definition, the prevalence of low muscle mass was 17% to 68% in women and 17% to 85% in men. The risk of low muscle mass increased with a BMI <18.5 kg/m(2) when using cut-offs based on FFMI (odds ratio [OR] 14.28-24.04/male 25.42-50.64) or SMI (OR female 3.56-4.56/male 7.07-8.87) and decreased with a BMI >= 25 kglm(2) (FFMI: OR female 0.03-0.04/male 0.01-0.04; SMI: OR female 0.18-0.25/male 0.14-0.18). The opposite association appeared between BMI and cut-offs based on SMP.Conclusion: The prevalence of low muscle mass varies widely depending on the definition, especially in persons with BMI <18.5 or >= 25 kg/m(2). (C) 2016 Elsevier Inc. All rights reserved.
Authors with CRIS profile
Involved external institutions
University of Geneva / Université de Genève (UNIGE)
Switzerland (CH)
Geneva University Hospitals / Hôpitaux universitaires de Genève (HUG)
Switzerland (CH)
Switzerland (CH)
Geneva University Hospitals / Hôpitaux universitaires de Genève (HUG)
Switzerland (CH)
How to cite
APA:
Graf, C.E., Pichard, C., Herrmann, F.R., Sieber, C., Zekry, D., & Genton, L. (2017). Prevalence of low muscle mass according to body mass index in older adults. Nutrition, 34, 124-129. https://dx.doi.org/10.1016/j.nut.2016.10.002
MLA:
Graf, Christophe E., et al. "Prevalence of low muscle mass according to body mass index in older adults." Nutrition 34 (2017): 124-129.
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