Zbořilová Vendula, Přidalová Miroslava, Kaplanová Tereza
Department of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic.
Children (Basel). 2021 May 4;8(5):366. doi: 10.3390/children8050366.
Negative lifestyle trends are reflected in overweight and obese children, in which their lack of physical activity results in decreased muscle mass. This study aimed to define age- and sex-specific reference curves for body fat mass (BFM), skeletal muscle mass (SMM), fat-free mass (FFM), and percent body fat (%BF) in Czech children.
Body composition was measured by segmental bioelectrical impedance (BIA, InBody 720). The research sample included 2093 children aged 6-11 years (1008 boys and 1085 girls). Only children whose parents provided informed consent were included. Statistical analysis was performed using SPSS v. 22. The statistical analysis was performed separately by age and sex. Anthropometric data were summarized as means and standard deviation. The percentile curves (P3, P10, P25, P50, P75, P90, and P97) of BFM, FFM, %BF, and SMM were calculated using the gamlss package in R 3.4.2 (R Foundation for Statistical Computing, Vienna, Austria).
This study developed age- and gender-specific percentile curves of SMM, FFM, BFM, and %BF for Czech children aged 6-11 years. During childhood, BFM and %BF increased in boys, peaking at approximately 11 years of age. Girls displayed a different pattern of age-related changes in BFM and %BF compared to that in boys. These parameters gradually increased during childhood. This pattern was also observed for SMM and FFM in both sexes.
The purpose of this study was to serve as a reference to improve methods to evaluate body composition in Czech children and for comparison with studies worldwide.
负面的生活方式趋势体现在超重和肥胖儿童身上，他们缺乏体育活动导致肌肉量减少。本研究旨在确定捷克儿童身体脂肪量（BFM）、骨骼肌量（SMM）、去脂体重（FFM）和体脂百分比（%BF）的年龄和性别特异性参考曲线。
采用分段生物电阻抗法（BIA，InBody 720）测量身体成分。研究样本包括2093名6至11岁的儿童（1008名男孩和1085名女孩）。仅纳入其父母提供知情同意书的儿童。使用SPSS v. 22进行统计分析。按年龄和性别分别进行统计分析。人体测量数据以均值和标准差汇总。使用R 3.4.2中的gamlss软件包（奥地利维也纳的R统计计算基金会）计算BFM、FFM、%BF和SMM的百分位数曲线（P3、P10、P25、P50、P75、P90和P97）。
本研究绘制了6至11岁捷克儿童SMM、FFM、BFM和%BF的年龄和性别特异性百分位数曲线。在儿童期，男孩的BFM和%BF增加，约在11岁时达到峰值。与男孩相比，女孩的BFM和%BF呈现出不同的年龄相关变化模式。这些参数在儿童期逐渐增加。男女两性的SMM和FFM也观察到这种模式。
本研究的目的是作为一种参考，以改进评估捷克儿童身体成分的方法，并与全球范围内的研究进行比较。
