طراحی و اعتبار سنجی مدل پیشگوی آزمون 6 دقیقه پیاده روی (6MWT) در پسران سالم 8 تا 17 ساله ایرانی

Introduction: Application and correct interpretation of the 6-minute walk test (6MWT) in medical, therapeutic, and exercise settings requires normal values of the 6MWT. The aim of this study was to develop and cross-validate the 6MWT prediction equation in Iranian healthy children and adolescent males. Methods: The 6MWT and anthropometric variables were measured in 391 males (8 to 17 years old) with standard methods. Pearson correlation was used to assess the relationship between distances walked in the 6MWT and independent variables. Multiple regression analysis was used to design 6MWT prediction equation from dependent variables. Furthermore, accuracy of the present 6MWT prediction equation was cross-validated. Results: Significant correlation was found between distances walked in the 6MWT and anthropometric characteristics (P < 0.001). Multiple stepwise regression reviled that age and Body Mass Index (BMI) could explain 63% of the variability of 6MWT in children and adolescent males (r2= 0.627, SEE= 36 m, P < 0.001). Accuracy of native 6MWT prediction equation was approved by good correlation between measured and predicted distance walked in the 6MWT (r2 = 0.79, P < 0.001). Conclusions: This is the first study on the development of native 6MWD reference values. With application of this 6MWD prediction equation, physicians, physical therapists, and fitness coaches could receive correct feedback of pharmacological, rehabilitation, and exercise interventions.