摘要
背景:人体是一个不规则的几何体,难于对其体积进行测量。目的:建立以身高、体质量为自变量,人体体积为因变量的多种回归方程,进行女大学生人体体积测量与回归方程的优选。设计:单一样本单因素分析。单位:丽水学院体育系熏浙江大学体育部和浙江公安高等专科学校。对象:以浙江丽水学院的18～22岁女大学生18人为观察对象。方法:女生身高、体质量2项指标的测量均采用国家认定的体质测试仪器进行测量。身体体积指标采用自制的直径为0.95m、高为1.20m的铁容器,容器内安装一个有高度的刻度标记,将水灌入一定的高度,让学生慢慢地完全浸入水中,记录其高度差。计算人体体积m3=穴0.95÷2雪2×3.14159×高度差。进行测量数据的统计计算。以身高、体质量为自变量,人体体积为因变量建立回归方程,并完成回归方程的优选。主要观察指标:女大学生身高、体质量和身体体积测量数据与各种回归方程的计算结果。结果:女大学生18人均获得身高、体质量和身体体积测量数据,全部进入结果分析。①建立计算人体体积的二元回归方程:=-0.031016+0.000761×体质量+0.000267×身高。②人体体积一元回归方程及方程的优选:线性方程=0.001×体质量+0.0008;对数方程=0.0051ln穴体质量雪-0.15;乘幂方程=0.001×体质量0.9909;指数方程=0.0192×e0.0188x。复相关系数R2值(0.9497～0.9591),均比较接近1,说明模型预测的人体体积值与实际的人体体积值呈高度相关(r>r0.001穴18-2雪熏P<0.001),说明4种模型的预测值与实际值呈无差异性。③从指标测量的经济性和计算的简便性分析,在5种回归方程中,对数方程最优。④人体体积指标涵盖身体形态、身体功能和身体素质。结论:人体体积指标在体质研究中也是不可忽视的重要指标之一。从指标测量的经济性和计算的简便性分析,以对数方程最优。
BACKGROUND： Human body is an irregular geometrical one, so it is very diffcult to measure its volume.
OBJECTIVE： To establish multiple regression equations by taking body height and body mass as the independent variables and body volume as the dependent variable, calculate the body volume of female college students and select optimal regression equations.
DESIGN： A single-sample univariate analysis.
SETTING： Department of Physical Education of Lishui CoLlege, Department of Physical Education of Zhejiang University and Academy of police in Zhejiang.
PARTICIPANTS： Eighteen female students aged 18-22 years were selected from Zhejiang Lishui College.
METHODS： Both the body height and body mass indexes of the female students were measured with the nation-ratified constitutional test instrument, and the body volume index was measured with a self-made iron container with a diameter of 0.95 m and height of 1.20 m. There was a scale mark for height in the container, water was poured to a fixed height, then the student slowly immersed herself into the water completely and the height difference was recorded. Body volume （m^3）=（0.95÷2）2×3.141 59× height difference. The measured data were statistically calculated. Regression equations were established by taking body height and body mass as the independent variables and body volume as the dependent variable, and the optimal regression equation was selected.
MAIN OUTCOME MEASURES： The measured data of body height, body mass and body volume of female students and the calculated results of the regression equations were observed.
RESULTS： The measured data of body height, body mass and body volume of 18 female students all entered into the in result analysis ① A regression equation in two unknowns for calculating body volume was established： y=-0.031 016＋0.000 761×body mass＋0.000 267×body height. ② A regression equation in one unknown for body volume and its optimal selection： The linear equation was y=0.001×body mass＋0.000 8; the logarithm equation was y=0.005 1Ln （body mass）-0.15; the power equation was y =0.001×body mass^0.9909; the exponent equation was y=0.0192xe^0.0188x. and the multiple correlation coefficient R^2=0.9497-0.9591, all were close to 1, indicating that the body volume predicted by models was highly correlated with the actual one （r 〉 r0.001（18-2）, P 〈 0.001）, the predicted values of the 4 models were not different from the actual one. ③ Analyzing from the simplicity of calculation and the economic way of index measurement, Logarithm equation is the best in the 5 regression equations. ④ The body volume covered body shape, physical function and Physique. CONCLUSION： The index of body volume is one of the important indexes, which cannot be neglected in the study of Physique. Analyzing from the simplicity of calculation and the economic way of index measurement, Logarithm equation is the best.
出处
《中国临床康复》
CSCD
北大核心
2006年第20期167-169,共3页
Chinese Journal of Clinical Rehabilitation
基金
浙江省2003年度哲学社会科学规划领导小组(浙社规(2003)10)子课题~~
