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我们如何定义和衡量肌肉减少症?一项观察性研究的荟萃分析。

How do we define and measure sarcopenia? A meta-analysis of observational studies.

机构信息

University of Ottawa, Faculty of Health Sciences, School of Rehabilitation Sciences, Ottawa, ON, Canada.

Bruyère Research Institute, Ottawa, ON, Canada.

出版信息

Age Ageing. 2021 Nov 10;50(6):1906-1913. doi: 10.1093/ageing/afab148.

DOI:10.1093/ageing/afab148
PMID:34537833
Abstract

OBJECTIVE

this study aimed to investigate how sarcopenia has been defined and measured in the literature reporting its prevalence, and how different definitions and measurement tools can affect prevalence estimates.

DESIGN

systematic review and meta-analysis.

SETTING AND PARTICIPANTS

community-dwelling older people.

METHODS

meta-analysis of data collected from observational studies. We performed an electronic search in five databases to identify studies reporting the prevalence of sarcopenia. We used descriptive statistics to present data pertaining sarcopenia definition and measurement tools, and the quality-effects model for meta-analysis of pooled prevalence.

RESULTS

we found seven different operational definitions for sarcopenia and a variety of tools applied to assess the sarcopenic markers; muscle mass, muscle strength and physical performance. The prevalence of sarcopenia varied between the definitions with general estimates ranging from 5% based on the European Working Group on Sarcopenia in Older People (EWGSOP1) criterion to 17% with the International Working Group on Sarcopenia. According to the tool used to assess muscle mass, strength and physical performance, prevalence values also varied within definitions extending from 1 to 7%, 1 to 12% and 0 to 22%, respectively.

CONCLUSION AND IMPLICATIONS

the criteria used to define sarcopenia, as well as the measurement tools applied to assess sarcopenic markers have influence in the prevalence of sarcopenia. The establishment of a unique definition for sarcopenia, the use of methods that guarantee an accurate evaluation of muscle mass and the standardisation of measurement tools are necessary to allow a proper diagnosis and comparison of sarcopenia prevalence among populations.

摘要

目的

本研究旨在调查文献中报道的肌少症患病率研究中肌少症的定义和测量方法,以及不同的定义和测量工具如何影响患病率估计。

设计

系统评价和荟萃分析。

设置和参与者

社区居住的老年人。

方法

对来自观察性研究的数据进行荟萃分析。我们在五个数据库中进行电子检索,以确定报告肌少症患病率的研究。我们使用描述性统计方法来呈现与肌少症定义和测量工具相关的数据,并使用质量效应模型对汇总患病率进行荟萃分析。

结果

我们发现了七种不同的肌少症操作定义和各种用于评估肌少症标志物的工具;肌肉质量、肌肉力量和身体表现。不同定义下肌少症的患病率存在差异,一般估计值从基于欧洲老年人肌少症工作组(EWGSOP1)标准的 5%到国际肌少症工作组的 17%不等。根据用于评估肌肉质量、力量和身体表现的工具,在定义内的患病率值也有所不同,分别从 1%到 7%、1%到 12%和 0%到 22%不等。

结论和意义

定义肌少症的标准以及用于评估肌少症标志物的测量工具对肌少症的患病率有影响。建立独特的肌少症定义,使用能保证准确评估肌肉质量的方法,以及标准化测量工具,对于进行适当的诊断和比较人群中肌少症的患病率是必要的。

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