以鱼市鱼为例,论证建立体型与体重数学关系的方法学方法

M. Pagano, A. Viggiano
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摘要

身体质量指数(BMI)被广泛用于评估一个人的体重是否正常。这个指标对学生来说可能很奇怪,因为他可以期望身体体积和任何线性身体尺寸之间的三次关系。本实验的目的是通过简单的动物模型,展示建立线性体尺寸与体重之间数学关系的实验方法。为此,我们从当地的鱼市捕捞了12条鲈鱼和13条鲷鱼。研究人员测量了每条鱼的体重、体尺寸、体积、体表面积和内脏脂肪重量。通过在X-Y图上绘制并计算最佳拟合功率模型,两两评估所有实验变量之间的数学关系。结果表明,在鱼类体重拟合任何线性体尺寸提高到小于2的幂。这种相关性最强的是体重和体长之间的关系,二者的关系是1.5倍。此外,BMI与内脏脂肪含量无关。结果表明:1)鱼类体重与体尺寸呈线性关系;2)生长异速生长;3) BMI是一个虚构的指数,不能描述生理现象;4) BMI不能预测内脏脂肪含量;5)应考虑其他变量,以获得更实惠的数学模型来描述体重与线性身体尺寸之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Fish-Market-Fishes to Demonstrate the Methodological Approach to Establish Mathematical Relations Between Body Size and Body Weight
Body mass index (BMI) is widely used to evaluate if a person has a normal body weight. This index may appear strange to a student because he could expect a cubic relation between body volume and any linear body dimension. The aim of the present experiment was to show the experimental approach to establish a mathematical relation between linear body dimensions and body weight by using a simple animal model. To this end, twelve sea bass and thirteen sea breams were obtained from a local fish-market. For each fish it was measured the body weight, the linear body dimensions, the body volume, the body surface area, and the visceral fat weight. The mathematical relations between all the experimental variables were evaluated pairwise, by plotting them on X-Y graphs and calculating the best fitting power-model. The results demonstrated that in fishes body weight fitted with any of the linear body dimensions raised to a power smaller than 2. The strongest of such correlations was between body weight and body length raised to a power of 1.5. Moreover, BMI did not correlate with visceral fat content. These results demonstrated that in fishes: 1) a non-linear correlation exists between body weight and linear body dimensions; 2) growth is allometric; 3) BMI is a fictitious index and does not describe a physiological phenomenon; 4) BMI is not predictive of visceral fat content; 5) other variables should be taken into account to obtain a more affordable mathematical model to describe the relation between body weight and linear body dimensions.
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