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Design and Cross-Validation of Six-Minute Walk Test (6MWT) Prediction Equation in Iranian healthy Males Aged 7 to 16 Years
Majid Jalili, Farzad Nazem,
Volume 5, Issue 2 (Journal of Ergonomics 2017)
Abstract

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.


Design and Validation of Non-Exercise Equations for Estimation of Aerobic Capacity in Iranian Boys
Farzad Nazem, Abbas Rezaei, Majid Jalili, Hossein Saki,
Volume 8, Issue 2 (Iranian Journal of Ergonomics 2020)
Abstract
Background and Aim:  Accurate and rapid measurement of cardiorespiratory system performance by estimation methods regardless of basic physiological fitness level, geographical environment, culture and nutrition is of paramount importance. The purpose of this study was to design linear regression equations to estimate the aerobic capacity of healthy adolescent boys without the use of sport tests and validation of this equations.
Methods: In the present semi-experimental study, 156 healthy adolescent boys aged 13 to 17 years with a mean body mass index of 21.43 ± 4.5 Kg / m2 were selected by purposive sampling method. To design the non-sport equation for estimating maximum oxygen consumption (VO2peak), a multiple regression linear model and Pearson correlation were used to validate the equations.
Results: Significant correlations were observed between the measured VO2peak and the anthropometric and physiological variables (R=0.122 - 0.799, P<0.001). Also, a valid non-exercise linear equation for boys' VO2peak prediction was designed with variables such as age, BMI and resting heart rate (SEE = 3.59 mL/kg/min, R2 = 0.712, P<0.001). The estimated VO2peak from equations had a significant correlation with the obtained criterion value. (R = 0.707 – 0.730, P<0.01).
Conclusion: According to the results of the present study, it is possible to use aerobic capacity estimation equations, is a simple, accurate, safe tool in assessing the baseline cardiorespiratory fitness (VO2peak). The use of non-Exercise equations in the planning of exercise in large populations of adolescent boys and even as a daily clinical practice in the elderly and heart patients with the goals of promoting health, cardiovascular health, preventive actions is very important.

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