The purpose of this study was to investigate the effect of somatotype on the VO2max and hormone (adrenaline and noradrenaline) during treadmill walking. Forty healthy men participated and were randomized to four groups: Male 1 (M1) group, Male 2 (M2) group, Male 3 (M3) group, and Male 4 (M4) group. M4 group is the largest body type, and M1 group is the smaller the body type. Participants walked at a speed of 3.5 km/h for five minutes at an incline angle of 0°, 5°, and 10° in the treadmill. Maximum oxygen consumption and hormone (adrenaline and noradrenaline) were measured. In the results, VO2max has significantly increased according to the degree of the treadmill inclination, and M4 group (larger body type) consumed more oxygen than the M1 group (smaller body type). In the hormone, there was a significant increase in adrenaline concentration after walking in all groups, and there was a significant difference in M1-M4, M2-M4 and M3-M4. The noradrenaline concentration significantly increased after treadmill gait in all groups, and there was no significant difference in noradrenaline between groups. This study suggests that the larger body type consumes more oxygen during walking, and treadmill walking contributes to an increase in the concentration of adrenaline and noradrenaline.

The purpose of this study was to produce the regression equation from non-exercise of healthy young adults and to develop a maximal oxygen consumption () regression model. This model was based on heart rate non-exercise predictor variables (rest heart rate, maximal heart rate/rest heart rate), as an extra addition to the general regression which can reflect an individual's inherent or acquired cardiorespiratory fitness. The subjects were 101 healthy young adults aged 19 to 35 years. Exercise testing was measured by using a Balke protocol for treadmill and indirect calorimetry. The prediction equation was analyzed by using stepwise multiple regression procedures. The mean of was (meanSD). The greatest variable correlated to was %fat. The predictor variable used in the non-exercise included %fat, gender, habitual physical activity and . The non-exercise estimation was as follows: ()=55.58-.41(%fat)+.59(physical activity rating)-2.69()-5.36 (male=0, female=1); (R=.85, SEE=3.64, R2=.72: including heart rate variable); ()=48.47-.41(%fat)+.45(physical activity rating)-5.12 (male=0, female=1); (R=.84, SEE=3.74, R2=.70: with the exception of heart rate variable). As an added heart rate variable, there was only a 2% coefficient of determination improved. Therefore, these results demonstrated that heart rate variable correlation with a non-exercise regression model was very low. In conclusion, for healthy young korean adults, those variables that can affect non-exercise estimation turned out to be only % fat, gender, and physical activity. We suggest that further research of predictor variables for non-exercise is necessary for different patient groups who cannot perform maximal exercise or submaximal exercise.