Buse Ozcan Kahraman1, Ertugrul Yuksel2, Abdurrahman Nalbant2, Umut Ziya Kocak3, Bayram Unver4. 1. School of Physical Therapy and Rehabilitation, Dokuz Eylül University, Izmir, Turkey. Electronic address: buse.ozcan@deu.edu.tr. 2. Institute of Health Sciences, Dokuz Eylül University, Izmir, Turkey. 3. Department of Physical Therapy and Rehabilitation, Faculty of Health Sciences, Izmir Katip Celebi University, Izmir, Turkey. 4. School of Physical Therapy and Rehabilitation, Dokuz Eylül University, Izmir, Turkey.
Abstract
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.
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.
Authors: Alessandro Mezzani; Larry F Hamm; Andrew M Jones; Patrick E McBride; Trine Moholdt; James A Stone; Axel Urhausen; Mark A Williams Journal: Eur J Prev Cardiol Date: 2012-10-26 Impact factor: 7.804
Authors: Ralf Geiger; Alexander Strasak; Benedikt Treml; Klaus Gasser; Axel Kleinsasser; Victoria Fischer; Harald Geiger; Alexander Loeckinger; Joerg I Stein Journal: J Pediatr Date: 2007-04 Impact factor: 4.406
Authors: Graziella F B Cipriano; Guilherme C Brech; Paulo A T Peres; Cássia C Mendes; Gerson Cipriano; Antônio C C Carvalho Journal: Rev Bras Fisioter Date: 2011 Aug-Sep
Authors: Silvia Ulrich; Florian F Hildenbrand; Ursula Treder; Manuel Fischler; Stephan Keusch; Rudolf Speich; Margrit Fasnacht Journal: BMC Pulm Med Date: 2013-08-05 Impact factor: 3.317