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本文对我国北方地区(东北、西北和华北)成人共10,672名(男6354,女4318)的身高和体重测量资料,按性别分三个年龄组(18～25,26～45,46岁以上)以相关法进行了统计学分析。各组的身高和体重均有明显正相关。回归系数显著性检验除女性18～25与26～45岁两组间无显著性差异外,其他各组间的差异均有高度显著性。依据正态分布理论,根据身高的均数((?)),和标准差(S_x),将体型分为五类:高大,中上等,中等,中下等,矮小。在求出各组的回归方程式后,再将各类体型中的身高值,代入相应年令组的回归方程式,求出该身高值的平均体重(?),同时求出直线回归中个体值的标准误(S_y),据此计算直线回归中体重个体值的95％分布范围。再将体重分为五级(消瘦,中下等,中等,中上等,过重)。本文拟定的我国北方地区成人不同体型身高的体重正常值,可用于评价成人营养状况及健康情况,具有一定的实用价值。
In this paper, we measured the height and weight of 10,672 adults (6354, 4318) in the north of China (northeast, northwest and north China), and divided them into three age groups (18-25, 26-45 and 46 years old) A statistical analysis was carried out using the correlation method. There was a clear positive correlation between height and weight in each group. Regression coefficient significance test Except for women 18 ~ 25 and 26 ~ 45 years old no significant difference between the two groups, the other groups were highly significant differences. According to the normal distribution theory, according to the height of the average ((?)), And standard deviation (S_x), the body is divided into five categories: tall, middle and upper, middle and lower, short. After obtaining the regression equation of each group, the height value of each body type is substituted into the regression equation of the corresponding yearbook group to find the average body weight of the height value (?), And the individual value in the linear regression Standard error (S_y), according to the calculation of linear regression 95% of the body weight distribution range. And then divided into five weight (wasting, middle and lower, medium, high, too heavy). The body weight of adults of different body types in northern China, which is drawn up in this paper, can be used to evaluate nutritional status and health of adults and has certain practical value.