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- Title
Predicting muscle mass from anthropometry using magnetic resonance imaging as reference: a systematic review.
- Authors
Al-Gindan, Yasmin Y.; Hankey, Catherine R.; Leslie, Wilma; Govan, Lindsay; Lean, Michael E. J.
- 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.
- Subjects
RESEARCH methodology evaluation; BODY composition; ANTHROPOMETRY; EXPERIMENTAL design; BIOELECTRIC impedance; INFORMATION storage &; retrieval systems; MEDICAL databases; MEDICAL information storage &; retrieval systems; MAGNETIC resonance imaging; MATHEMATICS; MEDLINE; MUSCULAR atrophy; ONLINE information services; RESEARCH evaluation; RESEARCH funding; SKINFOLD thickness; SYSTEMATIC reviews; EVIDENCE-based medicine; PROFESSIONAL practice; QUADRICEPS muscle; SKELETAL muscle; DESCRIPTIVE statistics; PHOTON absorptiometry; EVALUATION; DIAGNOSIS
- Publication
Nutrition Reviews, 2014, Vol 72, Issue 2, p113
- ISSN
0029-6643
- Publication type
Article
- DOI
10.1111/nure.12096