Wang Lina, Su Liming, Shi Lulu, Zhao Dan, Zhang Chen, Wu Bei
School of Medicine, Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou, Zhejiang, China.
School of Medicine, Zhejiang Ocean University, Zhoushan, Zhejiang, China.
J Am Med Dir Assoc. 2025 Jan;26(1):105361. doi: 10.1016/j.jamda.2024.105361. Epub 2024 Nov 18.
Individuals with motoric cognitive risk (MCR) syndrome have a high dementia risk. However, a knowledge gap exists in the measurement procedure for slow gait speed, which is a crucial component of MCR diagnosis. The study aimed to systematically review slow gait speed measurement practices in MCR diagnosis to identify critical constructs in gait speed measurement procedure.
Systematic review.
Included studies were conducted in clinical and community settings, involving participants with MCR receiving gait speed measurement.
A systematic search across PubMed, Medline, Embase, CINHAL (EBSCO), Web of Science, Cochrane Library, and ProQuest Dissertation from inception until January 2024 for articles with detailed MCR diagnosis. Study quality was evaluated with the Joanna Briggs Institute (JBI) Critical Appraisal Checklists and slow gait speed measurement methods were summarized through narrative synthesis.
From 27,600 unique entries, 50 relevant studies with 55 cohorts were identified and included in the review. Slow gait speed measurement methods in existing MCR studies showed heterogeneity in measurement tools, start/end protocols and buffer distance, walking test distance, number of tests, calculation methods, and cutoff values. Commonly, manual stopwatches and 4-meter walking test distance with a 2-meter buffer at each end at a usual pace were used, averaging 2 tests for gait speed analysis, with the need for cohort-specific slow gait cutoff values.
The measurement practices of slow gait speed in MCR diagnosis were heterogeneous. A relatively comprehensive gait speed measurement procedure with 7 constructs was initially delineated in this study based on synthesis analysis, with the potential to improve diagnostic accuracy and consistency of MCR, although further validation is still needed.
患有运动认知风险（MCR）综合征的个体患痴呆症的风险很高。然而，在慢步态速度的测量程序方面存在知识空白，而慢步态速度是MCR诊断的关键组成部分。本研究旨在系统回顾MCR诊断中慢步态速度的测量实践，以确定步态速度测量程序中的关键要素。
系统评价。
纳入的研究在临床和社区环境中进行，涉及接受步态速度测量的MCR参与者。
从创刊至2024年1月，在PubMed、Medline、Embase、CINHAL（EBSCO）、Web of Science、Cochrane图书馆和ProQuest学位论文数据库中进行系统检索，以获取具有详细MCR诊断的文章。使用乔安娜·布里格斯研究所（JBI）批判性评价清单评估研究质量，并通过叙述性综合总结慢步态速度测量方法。
从27600条独特条目中，识别出50项相关研究和55个队列，并纳入本评价。现有MCR研究中的慢步态速度测量方法在测量工具、开始/结束方案和缓冲距离、步行测试距离、测试次数、计算方法和临界值方面存在异质性。通常使用手动秒表，以平常速度进行4米步行测试距离，两端各有2米缓冲，平均进行2次步态速度分析测试，需要针对特定队列的慢步态临界值。
MCR诊断中慢步态速度的测量实践存在异质性。本研究基于综合分析初步勾勒出一个包含7个要素的相对全面的步态速度测量程序，虽仍需进一步验证，但有可能提高MCR诊断准确性和一致性。
