Background: Six-minute walk test (6MWT) is the most used test to assess functional capacity. Including arm span in the prediction equations for 6MWT performance might be an alternative for use in traditional reference equations.
Objective: The aim was to investigate the usability of arm span to predict the 6MWT distance in healthy children.
Methods: 262 healthy children aged between 6 and 12 years old participated in this study. 6MWT was conducted according to the standardized protocol. Height, weight, and arm span were measured before performing the 6MWT. A multiple stepwise linear regression analysis was used to generate the regression model.
Results: The 6MWT distance had strong positive correlations with age, arm span, height, and weight (p<0.001). There was also a very strong correlation between arm span and height (p<0.001). Age and arm span were found as significant predictors in the first regression model. These two variables explained 60.2% of the variance in the 6MWT distance. Age and height were also found as significant predictors, explaining 60.5% of the variance in the 6MWT distance. The two following formula were obtained to predict the 6MWT distance: (-23.09+(31.12×Age)+(2.39×Arm span)) or (-80.0+(28.98×Age)+(2.92×Height)).
Conclusions: The results suggest that the combination of arm span (or height) and age are strong predictors of the 6MWT distance in healthy children.
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| http://dx.doi.org/10.1016/j.bjpt.2020.07.003 | DOI Listing |
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