more than 2 h of recreational screen time per day). Note: The guidelines currently provide a time limit recommendation for screen-related pursuits, but not for non-screen-related pursuits. Physical fitness Average percentile achieved on specific physical fitness indicators based on the normative values
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Nicolas Aguilar-Farias, Sebastian Miranda-Marquez, Pia Martino-Fuentealba, Kabir P. Sadarangani, Damian Chandia-Poblete, Camila Mella-Garcia, Jaime Carcamo-Oyarzun, Carlos Cristi-Montero, Fernando Rodriguez-Rodriguez, Pedro Delgado-Floody, Astrid Von Oetinger, Teresa Balboa-Castillo, Sebastian Peña, Cristobal Cuadrado, Paula Bedregal, Carlos Celis-Morales, Antonio Garcia-Hermoso, and Andrea Cortínez-O’Ryan
Marcin Krawczyk, Mariusz Pociecha, Paulina Kozioł, Aleksandra Stepek, and Gabriela Gębica
correlation coefficient. Results Descriptive Statistics Table 1 shows the results of the descriptive statistics for each group. Table 1 Statistical Characteristics of the Measured Somatic Features and the Motor Fitness Indicators in the VG, FG, and CG FG VG CG Characteristics M SD CV FG Z score M SD CV VG
Ming Ding, Hui Ouyang, Caiyun Zhang, Lijun Jiang, Runsen Zhuang, Xiaomei Dong, Xiongfei Chen, Hongmei Yang, and Qian Tao
evidence supports the use of LSI to classify healthy individuals, as well as clinical populations, into physically active and low active categories, suggested by a significant correlation between the LSI, physical fitness indicators, and other energy expenditure scores ( Amireault & Godin, 2015
Christine W. St. Laurent, Sarah Burkart, Chloe Andre, and Rebecca M.C. Spencer
. Although physical activity and fitness are closely related, fitness indicators may have independent or interactive relationships with academic-related outcomes. 12 Whereas physical activity can generally be described as any bodily movements that result in increased energy expenditure (compared with rest
