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Measurement Practice of Slow Gait Speed for Motoric Cognitive Risk Syndrome: A Systematic Review
Lina Wang1, Liming Su2, Lulu Shi1
1School of Medicine, Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou, Zhejiang, China.
Objectives:
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.
Design:
Systematic review.
Setting And Participants:
Included studies were conducted in clinical and community settings, involving participants with MCR receiving gait speed measurement.
Methods:
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.
Results:
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.
Conclusions And Implications:
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.
