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肌少症成分的识别:可区分缓慢行走速度的成分:一项汇总数据分析。

Identification of Sarcopenia Components That Discriminate Slow Walking Speed: A Pooled Data Analysis.

机构信息

Department of Aging and Geriatric Research, University of Florida, Gainesville, Florida, USA.

California Pacific Medical Research Institute, San Francisco, California, USA.

出版信息

J Am Geriatr Soc. 2020 Jul;68(7):1419-1428. doi: 10.1111/jgs.16524. Epub 2020 Jul 7.

Abstract

BACKGROUND

The Sarcopenia Definitions and Outcomes Consortium (SDOC) sought to identify cut points for muscle strength and body composition measures derived from dual-energy x-ray absorptiometry (DXA) that discriminate older adults with slow walking speed. This article presents the core analyses used to guide the SDOC position statements.

DESIGN

Cross-sectional data analyses of pooled data.

SETTING

University-based research assessment centers.

PARTICIPANTS

Community-dwelling men (n = 13,652) and women: (n = 5,115) with information on lean mass by DXA, grip strength (GR), and walking speed.

MEASUREMENTS

Thirty-five candidate sarcopenia variables were entered into sex-stratified classification and regression tree (CART) models to agnostically choose variables and cut points that discriminate slow walkers (<0.80 m/s). Models with alternative walking speed outcomes were also evaluated (<0.60 and <1.0 m/s and walking speed treated continuously).

RESULTS

CART models identified GR/body mass index (GRBMI) and GR/total body fat (GRTBF) as the primary discriminating variables for slowness in men and women, respectively. Men with GRBMI of 1.05 kg/kg/m or less were approximately four times more likely to be slow walkers than those with GRBMI of greater than 1.05 kg/kg/m . Women with GRTBF of less than 0.65 kg/kg were twice as likely to be slow walkers than women with GRTBF of 0.65 kg/kg or greater. Models with alternative walking speed outcomes selected only functions of GR as primary discriminators of slowness in both men and women. DXA-derived lean mass measures did not consistently discriminate slow walkers.

CONCLUSION

GR with and without adjustments for body size and composition consistently discriminated older adults with slowness. CART models did not select DXA-based lean mass as a primary discriminator of slowness. These results were presented to an SDOC Consensus Panel, who used them and other information to develop the SDOC Position Statements. J Am Geriatr Soc 68:1419-1428, 2020.

摘要

背景

肌少症定义和结局联合会(SDOC)旨在确定从双能 X 射线吸收法(DXA)得出的肌肉力量和身体成分测量值的切点,以区分行走速度较慢的老年人。本文介绍了指导 SDOC 立场声明的核心分析。

设计

基于汇总数据的横断面数据分析。

地点

大学研究评估中心。

参与者

有 DXA 瘦体重信息的社区居住的男性(n=13652)和女性(n=5115):握力(GR)和行走速度。

测量

35 个候选肌少症变量被纳入性别分层分类和回归树(CART)模型,以选择变量和切点,以区分行动缓慢者(<0.80 m/s)。还评估了具有替代行走速度结果的模型(<0.60 和 <1.0 m/s,行走速度连续处理)。

结果

CART 模型确定 GR/体重指数(GRBMI)和 GR/总体脂肪(GRTBF)分别为男性和女性行动迟缓的主要区分变量。GRBMI 为 1.05 kg/kg/m 或更低的男性成为行动迟缓者的可能性是 GRBMI 大于 1.05 kg/kg/m 的男性的大约四倍。GRTBF 小于 0.65 kg/kg 的女性成为行动迟缓者的可能性是 GRTBF 为 0.65 kg/kg 或更高的女性的两倍。具有替代行走速度结果的模型仅选择 GR 的函数作为男性和女性行动迟缓的主要区分器。DXA 衍生的瘦体重测量值不能一致地区分行动迟缓者。

结论

GR 及其对身体大小和组成的调整一致地区分了行动迟缓的老年人。CART 模型并未选择基于 DXA 的瘦体重作为行动迟缓的主要区分器。这些结果提交给了 SDOC 共识小组,他们使用这些结果和其他信息制定了 SDOC 立场声明。J Am Geriatr Soc 68:1419-1428, 2020.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9641/8018524/e42f20a31887/nihms-1614576-f0001.jpg

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