2021
DOI: 10.1080/09593985.2021.1938308
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The functional reach test in people with multiple sclerosis: a reliability and validity study

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Cited by 8 publications
(6 citation statements)
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“…The functional reach test (FRT) is a continuous measure designed to measure the limits of stability [ 32 ]. The FRT has been identified as a reliable, valid and easy to administer tool for limits of stability in people with Multiple Sclerosis [ 33 ]. The 2MWT has been shown to be a valid alternative to the 6MWT to describe walking capability among patients with neuromuscular disease during clinical trials [ 33 ].…”
Section: Participants and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The functional reach test (FRT) is a continuous measure designed to measure the limits of stability [ 32 ]. The FRT has been identified as a reliable, valid and easy to administer tool for limits of stability in people with Multiple Sclerosis [ 33 ]. The 2MWT has been shown to be a valid alternative to the 6MWT to describe walking capability among patients with neuromuscular disease during clinical trials [ 33 ].…”
Section: Participants and Methodsmentioning
confidence: 99%
“…The FRT has been identified as a reliable, valid and easy to administer tool for limits of stability in people with Multiple Sclerosis [ 33 ]. The 2MWT has been shown to be a valid alternative to the 6MWT to describe walking capability among patients with neuromuscular disease during clinical trials [ 33 ]. The test-retest reliability has been previously characterised by the intraclass correlation coefficient and found to be .82 (95% CI, .76-.87) [ 24 ].…”
Section: Participants and Methodsmentioning
confidence: 99%
“…iii) The functional reach test (FRT), was administered again seven to ten days later to ascertain its test-retest reliability. The ICC was 0.84 to 0.86, indicating excellent reliability [20]. A case report form is used in studies to collect the following specific data: i) demographic characteristics, such as gender, age, status, levels of education, and occupation; ii) results of the TUG; iii) results of the FRT; and iv) monitoring of blood pressure and heart rate.…”
Section: Measurement Tools and Materialsmentioning
confidence: 99%
“…For the research of posture recognition method, Deng et al [1] combined support vector machine and Adaboost algorithm to identify static postures such as standing, lying on the side, and lying on the back, which can achieve good results, but there is a lack of research on the detection of human motion posture. Soke et al [2] extracted the time-domain characteristics of acceleration, and then classified the human postures such as walking, running, upstairs and downstairs through fuzzy pattern recognition. The overall recognition rate is about 90%, which may lead to data accumulation.…”
Section: Introductionmentioning
confidence: 99%