a Faculty of Sport and Health Sciences , University of Jyväskylä , Jyväskylä , Finland.
b LIKES Research Centre for Physical Activity and Health , Jyväskylä , Finland.
Eur J Sport Sci. 2018 Jul;18(6):882-892. doi: 10.1080/17461391.2018.1457081. Epub 2018 Apr 3.
The aim of this study was to examine and quantify the cross-sectional associations of body composition (BC), physical activity (PA) and sedentary time (ST) with physical fitness (PF) in children and adolescents. A sample of 594 Finnish students (56% girls), aged 9-15 (12.4 ± 1.3 years) were selected for a study performed in 2013. The measurements of the Move! monitoring system for physical functional capacity were used to measure cardiorespiratory and musculoskeletal fitness and fundamental movement skills. Moderate-to-vigorous PA (MVPA) and ST were measured objectively with an accelerometer and BC by a bioelectrical impedance analysis. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated to represent height-adjusted BC. Associations were explored with a linear regression model. In general, FMI had statistically significant negative associations, while FFMI and MVPA had positive associations with PF. No statistically significant associations were observed between ST and PF. In general, FMI had the strongest association with PF, although some variation occurred with sex and PF component. However, associations were practically relevant only in 20-m shuttle run, push-up, curl-up and 5-leaps test. For example, approximately 5 kg increase in fat mass in 155 cm tall children was estimated to correspond to 8 laps in 20-m shuttle run. Similar increase in fat-free mass corresponded to +4 and +6 laps, and 10 min increase in daily MVPA +3 and +2 laps in 20-m shuttle run, in boys and girls, respectively. Understanding these associations is necessary when interpreting children's PF and designing interventions.
本研究旨在探讨和量化身体成分(BC)、身体活动(PA)和久坐时间(ST)与儿童和青少年体能(PF)的横断面关联。从芬兰的一所学校中选取了 594 名学生(56%为女生)作为研究对象,年龄在 9-15 岁(12.4±1.3 岁)。研究采用 Move!监测系统测量心肺和肌肉骨骼功能以及基本运动技能,以评估身体功能能力。使用加速度计客观测量中等到剧烈 PA(MVPA)和 ST,通过生物电阻抗分析测量 BC。计算脂肪质量指数(FMI)和去脂体重指数(FFMI)以表示身高调整后的 BC。使用线性回归模型探讨关联。一般来说,FMI 与 PF 呈显著负相关,而 FFMI 和 MVPA 与 PF 呈正相关。ST 与 PF 之间未观察到统计学显著关联。一般来说,FMI 与 PF 的关联最强,但在性别和 PF 成分方面存在一些差异。然而,关联仅在 20 米穿梭跑、俯卧撑、仰卧起坐和 5 次跳跃测试中具有实际意义。例如,在身高 155cm 的儿童中,脂肪质量增加约 5kg,预计在 20 米穿梭跑中会减少 8 圈。类似地,去脂体重增加对应增加+4 和+6 圈,每天 MVPA 增加 10 分钟,在男孩和女孩中分别对应增加 20 米穿梭跑中的+3 和+2 圈。当解释儿童的 PF 并设计干预措施时,理解这些关联是必要的。