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青少年基于场域的健康相关体能测试组合的重测信度。

Test-retest reliability of a battery of field-based health-related fitness measures for adolescents.

机构信息

School of Education, University of Newcastle, University Drive, Newcastle, NSW, Australia.

出版信息

J Sports Sci. 2011 Apr;29(7):685-93. doi: 10.1080/02640414.2010.551215.

DOI:10.1080/02640414.2010.551215
PMID:21391082
Abstract

The main aim of this study was to determine the test-retest reliability of existing tests of health-related fitness. Participants (mean age 14.8 years, s = 0.4) were 42 boys and 26 girls who completed the study assessments on two occasions separated by one week. The following tests were conducted: bioelectrical impedance analysis (BIA) to calculate percent body fat, leg dynamometer, 90° push-up, 7-stage sit-up, and wall squat tests. Intra-class correlation (ICC), paired samples t-tests, and typical error expressed as a coefficient of variation were calculated. The mean percent body fat intra-class correlation coefficient was similar for boys (ICC = 0.95) and girls (ICC = 0.93), but the mean coefficient of variation was considerably higher for boys than girls (22.2% vs. 12.2%). The boys' coefficients of variation for the tests of muscular fitness ranged from 9.0% for the leg dynamometer test to 26.5% for the timed wall squat test. The girls' coefficients of variation ranged from 17.1% for the sit-up test to 21.4% for the push-up test. Although the BIA machine produced reliable estimates of percent body fat, the tests of muscular fitness resulted in high systematic error, suggesting that these measures may require an extensive familiarization phase before the results can be considered reliable.

摘要

本研究的主要目的是确定与健康相关的体能现有测试的重测信度。参与者(平均年龄 14.8 岁,s=0.4)为 42 名男孩和 26 名女孩,他们在两次相隔一周的时间内完成了研究评估。进行了以下测试:生物电阻抗分析(BIA)以计算体脂百分比、腿部测力计、90°俯卧撑、7 级仰卧起坐和靠墙深蹲测试。计算了组内相关系数(ICC)、配对样本 t 检验和以变异系数表示的典型误差。男孩(ICC=0.95)和女孩(ICC=0.93)的体脂百分比的平均组内相关系数相似,但男孩的平均变异系数明显高于女孩(22.2%比 12.2%)。男孩的肌肉力量测试的变异系数范围从腿部测力计测试的 9.0%到定时靠墙深蹲测试的 26.5%。女孩的变异系数范围从仰卧起坐测试的 17.1%到俯卧撑测试的 21.4%。虽然 BIA 机能可靠地估计体脂百分比,但肌肉力量测试结果存在高系统误差,表明这些测量结果可能需要广泛的熟悉阶段,然后才能认为结果可靠。

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