The six-minute step test as a predictor of @entity410 in @entity28 XXXX .

@entity1 @entity410 @entity28 @entity1009 @entity26 @entity299 @entity1167
BACKGROUND: The impaired @entity410 ( @entity410 ) status is a hallmark in @entity28 individuals, especially in @entity1 around the world. Some field tests have been proposed to evaluate functional capacity in this population. The Six-Minute Step Test (6MST) could be a feasible alternative to @entity1167 ( @entity1167 ) if the resources and space are limited. However, an optimal performance cutoff using the 6MST as well as predictive equations of metabolic and cardiovascular responses to @entity1167 from 6MST data have to not been established. AIM: To assess the 6MST accuracy to determinate @entity410 and its ability to predict peak @entity26 consumption (VO2) and @entity299 ( @entity299 ) achieved during @entity1167 in @entity28 @entity1 . DESIGN: Observational and cross-sectional study. SETTING: The study was performed at a Physiotherapy Department of a public University and enrolled individuals from the community. POPULATION: Fifty-six @entity28 @entity1 (35  7 years old). METHODS: Subjects underwent a clinical evaluation, @entity1167 , and the 6MST. We applied Bland-Altman plots to assess concurrent validity between exercise tests regarding peak VO2 and @entity299 . Receiver operating characteristic curve analysis and stepwise multiple linear regression analysis assessed the predictive accuracy of the 6MST; specifically the ability to predict peak VO2 and @entity299 achieved during @entity1167 . Significance level was P<0.05. RESULTS: There was a satisfactory concurrent validity between the @entity1167 and 6MST, with a mean difference of 5.1  3.6 mL  kg-1  @entity1009 and 23  13 bpm in relation to peak VO2 and @entity299 , respectively. The 6MST demonstrated moderate accuracy in predicting @entity1167 responses (area under the curve: 0.72, 95% CI: 0.59-0.83). The number of step cycles and peak @entity299 during the 6MST explained 31% and 39% of the total variance in peak VO2 and @entity299 obtained during @entity1167 , respectively. CONCLUSION: The 6MST is accurate to discriminate @entity28 @entity1 with an adequate @entity410 from @entity1 with a poor status and it can predict metabolic and cardiovascular maximal exercise values. CLINICAL REHABILITATION IMPACT: Our findings indicate the 6MST is a simple and inexpensive functional evaluation tool and may be a valid means of assessing @entity410 in @entity28 @entity1 , particularly in clinical settings where space and resources are limited.
