Kilani Hashem, Abu-Eisheh Asem
Department of Physical Education, College of Education, Sultan Qaboos University, Muscat, Oman.
Sultan Qaboos Univ Med J. 2010 Apr;10(1):74-9. Epub 2010 Apr 17.
The three aims of this study were to establish equations for ideal body composition related fitness to be used by adults willing to gain optimum body composition related fitness; to predict the possible symmetrical major muscle circumference, and to compute the ideal body fat percentage (BFP) with ideal body weight (IBW) based on the body mass index (BMI).
Twenty-four athletes were intentionally selected, with heights of 166-190 cm and aged 20-42 years, according to a judging committee that used modified International Fitness Federation criteria for the Mr. Fitness competition "super body category". Common anthropometric and body composition measurements were taken for the following independent variables: body height, upper limb length, lower limb length, thigh length, arm length, shoulder width, forearm length, shank length, and wrist girth; and for the following dependent variables: circumferences of shoulder, thigh, waist, hip, chest, biceps, forearm, shank, and neck. Skin fold thickness was measured at three sites by a Harpenden caliper to calculate BFP.
The findings indicate that there was a predictive correlation between major independent variables and body circumferences. The mean range used to find out the ideal BFP percentage which was 5.6-6.7 %. The BMI equation used to find the IBW was H2 × 23.77 ± 2 SE. Stepwise multiple regressions were also used to derive predictive equations. The most predictive independent variables were wrist girth and height.
It is suggested that the above equations, the ideal BFP percentage and the IBW be used as criteria in training sessions to achieve ideal body composition related fitness.
本研究的三个目标是为希望获得最佳身体成分相关健康水平的成年人建立理想身体成分相关健康水平的方程;预测可能的对称主要肌肉周长,并根据体重指数(BMI)计算理想体重(IBW)下的理想体脂百分比(BFP)。
根据一个评审委员会的意见,按照修改后的国际健身联合会“超级体型组”健身先生比赛标准,有意挑选了24名运动员,身高在166 - 190厘米之间,年龄在20 - 42岁之间。对以下自变量进行常见的人体测量和身体成分测量:身高、上肢长度、下肢长度、大腿长度、手臂长度、肩宽、前臂长度、小腿长度和腕围;对以下因变量进行测量:肩部、大腿、腰部、臀部、胸部、二头肌、前臂、小腿和颈部的周长。使用哈彭登卡尺在三个部位测量皮褶厚度以计算BFP。
研究结果表明主要自变量与身体周长之间存在预测相关性。用于确定理想BFP百分比的平均范围为5.6 - 6.7%。用于计算IBW的BMI方程为H2 × 23.77 ± 2 SE。还使用逐步多元回归得出预测方程。最具预测性的自变量是腕围和身高。
建议将上述方程、理想BFP百分比和IBW用作训练课程中的标准,以实现理想的身体成分相关健康水平。