ABSTRACT
<b>Purpose</b>：The purpose of this study was to investigate the effects of change in daily physical activity during an exercise intervention on health status and physical fitness.<b>Methods</b>：Participants were 22 obese middle-aged men (BMI : 29.1±2.8 kg/m<sup>2</sup>, 54.1±11.4 yr). They performed 90-min exercise sessions on a regular basis 3 days per week for 3 months. Physical activity (total energy expenditure, TEE ; activity energy expenditure, AEE ; and step counts) was measured using an accelerometer. Daily physical activity was defined as that which was performed outside of the exercise class. A 3-day food record was used to estimate energy intake. <b>Results</b>：Body weight decreased (-3.0±2.5 kg, <i>P</i>＜0.05). Vital age (VA), an index of comprehensive health status, and physical fitness age (PFA), an index of comprehensive physical fitness, significantly improved (VA : -8.7±5.5 yr, PFA : -8.5±5.1 yr, <i>P</i>＜0.05). Energy intake remained unchanged during the intervention (＋63.7±546.1 kcal/d). Daily physical activity increased (TEE : ＋83.0±130.1 kcal/d, AEE : ＋76.9±103.3 kcal/d, step counts : ＋1789±2819 steps/d, <i>P</i>＜0.05). Change in daily physical activity was correlated with change in VA (AEE : r＝-0.52, step counts : r＝-0.46, <i>P</i>＜0.05), while change in daily physical activity did not correlate with change in PFA. <b>Conclusion</b>：These results suggest that changes in daily physical activity during an exercise intervention are associated with improved health status.
ABSTRACT
The purpose of this study was to investigate the accuracy of estimating human body composition changes using bioelectrical impedance (BI) methods during a weight-loss intervention. Subjects were forty-three obese men (age : 49.2±10.5 yr, BMI : 27.8±1.7 kg/m<sup>2</sup>) who completed a 14-week weight-loss intervention. In all subjects, fat mass (FM) and fat-free mass (FFM) were assessed by dual energy x-ray absorptiometry (DXA) as well as single- and multi-frequency BI methods (SBIM, MBIM) before and after the intervention. Resistance parameters were measured by SBIM and MBIM (SBIM : R<sub>50</sub> ; MBIM : R∞, R0, and Rfc). In nine subjects these variables were also measured at weeks 1 and 4. Weight decreased (P<0.05) by -8.0±3.2 kg during the intervention while FFM changes averaged -0.4±1.6 kg (DXA), -2.0±1.5 kg (SBIM), and -1.6±1.7 kg (MBIM). BI methods overestimated FFM before the intervention (before ; DXA : 54.4±4.8 kg, SBIM : 56.5±4.3 kg, MBIM : 55.9±4.5 kg). In nine subjects, FFM measured by SBIM (FFM<sub>SBIM</sub>) and MBIM (FFM<sub>MBIM</sub>) was similar to FFM measured by DXA(FFM<sub>DXA</sub>)(after ; DXA : 54.6±5.4 kg, SBIM : 54.6±3.8 kg, MBIM : 54.6±4.1 kg), although BI methods overestimated the FFM before the intervention (before ; DXA : 54.9±5.1 kg, SBIM : 56.9±3.8 kg, MBIM : 56.3±4.4 kg). The ΔFM<sub>SBIM</sub> and ΔFM<sub>MBIM</sub> were highly correlated with the ΔFM<sub>DXA</sub>(SBIM : r=0.87, MBIM : r=0.88). The ΔFFM<sub>SBIM</sub> andΔFFM<sub>MBIM</sub> were significantly correlated with the ΔFFM<sub>DXA</sub>(SBIM : r=0.54, MBIM : r=0.49). The ΔR<sub>50</sub> and ΔRfc were also significantly correlated with the ΔFFM<sub>DXA</sub>(R<sub>50</sub> : r=-0.63, Rfc : r=-0.48). These results suggest that during a weight-loss intervention, 1) BI methods and DXA provide similar estimates of human body composition change, although they overestimate FFM in obese men, and 2) changes of resistance parameters observed with BI methods may estimate human body composition change more accurately.