Som Suparna, Ulijaszek Stanley, Pal Manoranjan, Bharati Susmita, Bharati Premananda
* Indian Statistical Institute, Kolkata, India.
J Biosoc Sci. 2014 Jan;46(1):47-65. doi: 10.1017/S002193201300014X. Epub 2013 Mar 27.
It is well known that height and weight are interrelated, and that both are related to socioeconomic variables. The objective of this study was to assess the effect of socioeconomic variables on the heights and weights of different groups of people, formed according to different levels of heights and weights, and to see whether there are sex differences in the variations in heights and weights. Data for adults aged 15-49 years were taken from the India National Family Health Survey-3 and descriptive studies and multiple linear regression analyses carried out. A clear positive association was found for height and BMI with economic level (except for overweight females in the case of BMI). In the case of BMI, it is age that seems to be the most influential factor. Surprisingly, the observed changes in height and BMI are not as expected for short and tall or underweight and overweight people; these sometimes behave in the opposite directions to that of normal height and weight people. The basic assumption of multivariate normality is not valid due to changing relations at different height and BMI levels.
众所周知，身高和体重相互关联，且二者均与社会经济变量相关。本研究的目的是评估社会经济变量对根据不同身高和体重水平划分的不同人群的身高和体重的影响，并观察身高和体重变化中是否存在性别差异。15至49岁成年人的数据取自印度全国家庭健康调查-3，并进行了描述性研究和多元线性回归分析。发现身高和体重指数与经济水平呈明显正相关（体重指数方面超重女性除外）。就体重指数而言，年龄似乎是最具影响力的因素。令人惊讶的是，观察到的身高和体重指数变化对于身材矮小和高大或体重过轻和超重的人来说并非如预期那样；这些人的变化有时与正常身高和体重的人相反。由于在不同身高和体重指数水平上关系的变化，多元正态性的基本假设并不成立。
