Predicting muscle mass from anthropometry using magnetic resonance imaging as reference: a systematic review

Al-Gindan, Y.Y., Hankey, C.R., Leslie, W., Govan, L. and Lean, M.E. (2014) Predicting muscle mass from anthropometry using magnetic resonance imaging as reference: a systematic review. Nutrition Reviews, 72(2), pp. 113-126. (doi:10.1111/nure.12096)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1111/nure.12096

Abstract

Identification and management of sarcopenia are limited by lack of reliable simple approaches to assess muscle mass. The aim of this review is to identify and evaluate simple methods to quantify muscle mass/volume of adults. Using Cochrane Review methodology, Medline (1946-2012), Embase (1974-2012), Web of Science (1898-2012), PubMed, and the Cochrane Library (to 08/2012) were searched for publications that included prediction equations (from anthropometric measurements) to estimate muscle mass by magnetic resonance imaging (MRI) in adults. Of 257 papers identified from primary search terms, 12 studies met the inclusion criteria. Most studies (n = 10) assessed only regional/limb muscle mass/volume. Many studies (n = 9) assessed limb circumference adjusted for skinfold thickness, which limits their practical applications. Only two included validation in separate subject-samples, and two reported relationships between whole-body MRI-measured muscle mass and anthropometry beyond linear correlations. In conclusion, one simple prediction equation shows promise, but it has not been validated in a separate population with different investigators. Furthermore, it did not incorporate widely available trunk/limb girths, which have offered valuable prediction of body composition in other studies.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lean, Professor Michael and Govan, Dr Lindsay and Leslie, Dr Wilma and Hankey, Dr Catherine
Authors: Al-Gindan, Y.Y., Hankey, C.R., Leslie, W., Govan, L., and Lean, M.E.
College/School:College of Medical Veterinary and Life Sciences
College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Health Economics and Health Technology Assessment
Journal Name:Nutrition Reviews
Publisher:Wiley
ISSN:0029-6643
ISSN (Online):1753-4887

University Staff: Request a correction | Enlighten Editors: Update this record