Body mass estimation for circum-Pacific Asian people based on somatometric data
Body mass estimation for circum-Pacific Asian people based on somatometric data
复制标题
基于体测数据的环太平洋亚洲人体重估算
DOI:
10.1002/ajhb.23510
复制
发表时间:
2020
影响因子:
2.9
通讯作者:
Wataru Takigawa
中科院分区:
文献类型:
--
作者:
Emma Hinako Moritoshi;Midori Matsuoka;Gen Kume;Shinichi Dewa and Tomoki Sunobe;三浦収・金谷弦・中井静子・伊藤萌・千葉聡;菊池 泰弘;齋藤誠二,入口舜太,石川静香,佐々木新介;Wataru Takigawa
ObjectivesMultiple regression approaches for estimating body mass by somatometry typically use stature and biiliocristal breadth. However, these measures were obtained largely from Europeans, Africans, and Indo‐Mediterraneans, whereas mid‐latitude Asians were not broadly reflected. Thus, new estimation formulas for circum‐Pacific Asians were devised, and the accuracy was evaluated using raw individual data.Materials and MethodsTargeting Asians in the traditional society or before the 1960s and performing multiple regression analysis (MRA) with body weight as the objective variable, and stature, body breadth, and product of head length/breadth (HLBpr) as explanatory variables. The target population was divided into four climate groups, and the formulas were prepared for each sex or the combined‐sexes.ResultsThe MRA by stature and body breadth indicated significant multiple correlation coefficients (R) in many formulas.Rwas higher in the combined‐sexes. Among the four climate groups, the temperate group showed the highestR. In the East/Southeast Asians,Rexceeded 0.8 in the MRA by stature and HLBpr. Substituting the raw data of 19th‐century Japanese males, the temperate group formulas presented the least error, and the error in all the formulas using body breadth was <2 kg.ConclusionsAs body mass index varies significantly depending on some climatic factors, estimation formulas mixed with various climate groups are not desirable because of the large errors. For the mid‐latitude Asians, the temperate group formulas are expected to have a smaller error; however, in the group where the proportion of underweight individuals was originally high, any formula tends to be overestimated.