ARTICLE AUTHORS
ARTICLE INFO

Linear model for physical activity prediction in healthy middle aged men

AUTHORS

Majid Jalili 1 , Farzad Nazem 2 , * , Nader Farah Pour 3

1 PhD Student of Sport Physiology, Bu-Ali Sina University, Hamadan, Iran.

2 Associat Professor Department of Exercise Physiology, Bu-Ali Sina University, Hamadan, Iran.

3 Professor Department of Bio mechanical Sports, Bu-Ali Sina University, Hamadan, Iran.

How to Cite: Jalili M, Nazem F, Farah Pour N. Linear model for physical activity prediction in healthy middle aged men, Hormozgan Med J. 2013 ; 17(5):e88239.

ARTICLE INFORMATION

Hormozgan Medical Journal: 17 (5); e88239
Published Online: July 15, 2012
Article Type: Research Article
Received: February 05, 2012
Accepted: July 15, 2012
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Abstract

Introduction: The usage of valid, reliable, rapid and low cost instruments for
measurement of physical activity (PA) volume are essential in epidemiological and clinical
studies. The purpose of this study was to develop a new physical activity prediction model
using physiological and anthropometric variables in middle aged men.
Methods: Daily physical activity was measured with pedometer throughout the day for 2
consecutive week in 101 40-65 years old men. Anthropometric variables, total daily energy
expenditure and Vo2rest were measured. Linier regression was used to obtain prediction
model with independent variables.
Results: A significant correlation was found between average steps per day and
independent variable P<0.001). Daily steps was predictable with BMI, BMR, TDEE and
VO2rest (r2=0.961, SEE=767 steps/day, P<0.001). A significant correlation was found
between the measured and predicted PA (steps/day) in samples (P<0.001).
Conclusion: This study show that BMI, BMR, TDEE and VO2rest are useful variables in
predicting daily PA volume. It seems that regression linear equation can be applied at
clinical and epidemiological studies.

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    • © 2013, Hormozgan Medical Journal. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
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