身体活跃的成年人群体中体脂估算公式的差异与皮褶厚度总和的关系。
Differences in Fat Mass Estimation Formulas in Physically Active Adult Population and Relationship with Sums of Skinfolds.
机构信息
Faculty of Sport, Catholic University San Antonio of Murcia (UCAM), Av. de los Jerónimos 135, 30107 Murcia, Spain.
Kinanthropometry International Chair, Catholic University San Antonio of Murcia (UCAM), Av. de los Jerónimos 135, 30107 Murcia, Spain.
出版信息
Int J Environ Res Public Health. 2020 Oct 23;17(21):7777. doi: 10.3390/ijerph17217777.
Changes in body composition and specifically fat mass, has traditionally been used as a way to monitor the changes produced by nutrition and training. The objective of the present study was to analyse the differences between the formulas used to estimate fat mass and to establish the existing relationship with the body mass index and sums of skinfolds measurement in kinanthropometry. A total of 2458 active adults participated in the study. Body mass index (BMI) and skinfolds were measured, and the Kerr, Durnin-Womersley, Faulkner and Carter equations were used to assess fat mass. Significant differences were found between all the formulas for the percentage of fat mass, ranging from 10.70 ± 2.48 to 28.43 ± 5.99% ( < 0.001) and fat mass from 7.56 ± 2.13 to 19.89 ± 4.24 kg ( < 0.001). The correlations among sums of skinfolds and the different equations were positive, high and significant in all the cases ( from 0.705 to 0.926 < 0.001), unlike in the case of BMI, were the correlation was lower and both positive or negative ( from -0.271 to 0.719; < 0.001). In conclusion, there were differences between all the formulas used to estimate fat mass; thus, for the evaluation of fat mass with kinanthropometry of an active adult, the use of the same formula is recommended on all occasions when the results are going to be compared or when an athlete is compared with a reference.
身体成分的变化,特别是脂肪量的变化,传统上一直被用作监测营养和训练所产生变化的一种方法。本研究的目的是分析用于估计脂肪量的公式之间的差异,并确定与人体测量学中体重指数和皮褶厚度总和的现有关系。共有 2458 名活跃成年人参与了这项研究。测量了体重指数 (BMI) 和皮褶厚度,并使用 Kerr、Durnin-Womersley、Faulkner 和 Carter 公式来评估脂肪量。所有公式的脂肪百分比差异均有统计学意义,范围为 10.70±2.48%至 28.43±5.99%(<0.001),脂肪量差异为 7.56±2.13kg 至 19.89±4.24kg(<0.001)。所有情况下皮褶厚度总和与不同公式之间的相关性均为正相关,且高度显著(范围为 0.705 至 0.926,<0.001),而 BMI 的相关性较低,为正相关或负相关(范围为-0.271 至 0.719,<0.001)。总之,所有用于估计脂肪量的公式之间存在差异;因此,对于活跃成年人的人体测量学中脂肪量的评估,建议在所有需要比较结果或比较运动员与参考值的情况下,使用相同的公式。
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