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The aim of this study was to compare the validity of the leg-to-leg bioelectrical impedance analysis (BIA) method with that of anthropometry using hydrostatic weighing (HW) as the criterion test. A secondary objective was to cross-validate previously developed anthropometric regression equations as well as to develop a new regression equation formula based on the anthropometric data collected in this study. Three methods for assessing body composition (HW, BIA, and anthropometric) were applied to 60 women university athletes. The means and standard deviations of age, weight, height, and body mass index (BMI) of athletes were as follows: age, 20.70 +/- 1.43; weight, 56.19 +/- 7.83 kg; height, 163.33 +/- 6.11 cm; BMI, 21.01 +/- 2.63 kg x m(-2). Leg-to-leg BIA (11.82 +/- 2.39) has shown no statistical difference between percentage body fat determined by HW (11.63 +/- 2.42%) in highly active women (p > 0.05). This result suggests that the leg-to-leg BIA and HW methods were somewhat interchangeable in highly active women (R = 0.667; standard error of estimate [SEE] = 1.81). As a result of all cross-validation analyses, anthropometric and BIA plus anthropometric results have generally produced lower regression coefficients and higher SEEs for highly active women between the ages of 18 and 25 years. The regression coefficients (0.903, 0.926) and SEE (1.08, 0.96) for the new regression formulas developed from this study were better than the all the other formulas used in this study.

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Physical activity (PA) is an important factor to promote and maintain a healthy lifestyle along the whole life cycle. However , it is not clear whether it is due to the PA itself or sports team participation for elementary school students. Purpose of the study; to make comparison between the PA levels of students attending regular sport activities (Sa) and students not attending regul ar sports activities (Sb) during school days. The study included 30 male public elementary school students (Sa:9.57±0.78 and Sb:9.15±0.38 years old) PA data were obtained by using both objective and subjective measurement methods. Two objective methods (accelerometer-RT3; Heart Rate Monitor, Polar 610i,) were simultaneously used during the 3 school days except for physical education (PE) class. PA Questionnaire (r=.93) was applied one week before the objective measurements. Descriptive data were calculated for all variables. BMI was computed as kg/m 2 . Independent t test was used for comparing the variables of two groups. There were significant differences between two groups in terms of heart rate and vector magnitude (VM=√x 2 +y 2 +z 2 ). However, there was no significant difference by means of BMI between two groups (p<.05). The Sb group showed higher PA level on school days compared with the Sa group when PE class and regular sport activities are disregarded. That means, children may satisfy daily PA needs during these activities. On the other hand, the amount of PA accumulating during school time seemed inadequate to achieve the current recommendations for health-promotion in all children.