Suppr超能文献

基于磁共振成像作为参照的人体测量学预测肌肉量:系统综述。

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

机构信息

Human Nutrition, College of Medical, Veterinary & Life Sciences, School of Medicine, University of Glasgow, Glasgow, UK.

出版信息

Nutr Rev. 2014 Feb;72(2):113-26. doi: 10.1111/nure.12096. Epub 2014 Jan 21.

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.

摘要

由于缺乏可靠的简单方法来评估肌肉量,因此对肌少症的识别和管理受到限制。本综述的目的是确定和评估定量成人肌肉量/体积的简单方法。使用 Cochrane 综述方法,检索 Medline(1946-2012)、Embase(1974-2012)、Web of Science(1898-2012)、PubMed 和 Cochrane Library(至 2012 年 8 月),以查找包含预测方程(来自人体测量数据)的出版物,这些方程可通过磁共振成像(MRI)来估计成年人的肌肉量。从主要搜索词中确定了 257 篇论文,其中 12 项研究符合纳入标准。大多数研究(n=10)仅评估了区域性/肢体肌肉量/体积。许多研究(n=9)评估了经过皮褶厚度校正的肢体周长,这限制了它们的实际应用。只有两项研究在单独的受试者样本中进行了验证,两项研究报告了全身 MRI 测量的肌肉量与人体测量学之间的关系超出了线性相关性。总之,有一种简单的预测方程很有希望,但尚未在具有不同研究者的单独人群中进行验证。此外,它没有纳入广泛可用的躯干/肢体周长,这些周长在其他研究中提供了对身体成分的有价值预测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验