Exel Juliana, Mateus Nuno, Travassos Bruno, Gonçalves Bruno, Gomes Isabel, Leite Nuno, Sampaio Jaime
Research Centre in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, University of Trás-os-Montes e Alto Douro, UTAD, Quinta de Prados, 5001-801 Vila Real, Portugal.
Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Sport Sciences Department, University of Beira Interior, 6201-001 Covilhã, Portugal.
Sports (Basel). 2018 Nov 6;6(4):141. doi: 10.3390/sports6040141.
The level of physical activity (PA) and sedentary behavior (SED) off-training of young athletes may reveal the quality of recovery from training and highlight health related issues. Thus, the aim was to identify and describe young athletes' PA and SED off-training, according to daily life activities. Eight athletes (15.7 ± 2 years, 1.72 ± 0.6 m height, 62.9 ± 10.2 kg) of a sport talent program wore on their waist a tri-axial accelerometer (ActiGraph wGT9X-link, Shalimar, FL, USA) at 30 Hz for 15 consecutive days, and reported their schedule. A two-step cluster analysis classified three groups according to sedentary PA and MVPA. The Sedentary (56.9%), presented the highest sedentary PA (mean [CI], 37.37 [36.45⁻38.29] min/hour); The Hazardous (19.4%) had the lowest values of sedentary and MVPA (10.07 [9.41⁻10.36] min/hour and 8.67 [7.64⁻9.70] min/hour, respectively). Balanced (23.7%) had the highest MVPA (28.61 [27.16⁻30.07] min/hour). Sedentary had the lowest count of home time associated (20%) and higher school (26%) time when compared to the Hazardous (13%). The Balanced showed the highest count of school (61%) and home time (47%). Different profiles for young athletes revealed alarming behavior in the associations with sedentary PA, sitting and SED breaks, which may influence performance and health.
年轻运动员训练之外的身体活动（PA）水平和久坐行为（SED）可能揭示训练恢复的质量，并突显与健康相关的问题。因此，本研究旨在根据日常生活活动识别并描述年轻运动员训练之外的PA和SED情况。一项体育人才计划中的八名运动员（年龄15.7±2岁，身高1.72±0.6米，体重62.9±10.2千克）连续15天在腰部佩戴一台30赫兹的三轴加速度计（美国佛罗里达州沙利马尔的ActiGraph wGT9X-link），并报告他们的日程安排。通过两步聚类分析，根据久坐PA和中度至剧烈PA将运动员分为三组。久坐组（56.9%）的久坐PA最高（均值[置信区间]，37.37[36.45⁻38.29]分钟/小时）；危险组（19.4%）的久坐PA和中度至剧烈PA值最低（分别为10.07[9.41⁻10.36]分钟/小时和8.67[7.64⁻9.70]分钟/小时）。平衡组（23.7%）的中度至剧烈PA最高（28.61[27.16⁻
