A simple anthropometric estimation formula for healthy female labourers' leg volume.

IF 1.2 4区医学 Q2 ANTHROPOLOGY Annals of Human Biology Pub Date : 2023-02-01 DOI:10.1080/03014460.2023.2168058

Hsin-Hung Tu

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Abstract

Background: Leg volume (LV) is an important reference in nutrition, physiology in exercise, or clinical diagnosis. Therefore, how to evaluate LV easily and quickly with accuracy is important in these areas.

Aim: To develop a simple anthropometric estimation formula with ease of use and good accuracy for leg volume (LV) of female labourers.

Subjects: One hundred and thirty female labourers (110 subjects for formula regression procedure and 20 subjects for the comparison phase) were recruited as subjects with no reported leg surgery history, trauma, or deformity.

Methods: A set of 3 D scanners was used to measure the range data of each subject's leg.

Results: The resultant LV estimation formula is LV = 0.215 × LL × CTH^1.620 with R² = 0.967, in which LL stands for leg length and CTH for circumference of thigh. Mean error of this LV estimation is 0.10% and much smaller than that of the previous study (25.11% with significant difference).

Conclusion: An anthropometric estimation formula for female labourers' leg volume was developed in this study. Estimation mean error of this formula is much smaller than the one in the previous study. This formula is easy to use and shows good accuracy in estimating female labourers' leg volume.

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健康女工腿体积的简单人体测量估算公式。

背景:腿容积(LV)是营养学、运动生理学或临床诊断的重要参考指标。因此，如何方便、快速、准确地评估LV在这些领域是很重要的。目的:建立一种简便、方便、准确的女性劳动者腿部体积(LV)人体测量公式。研究对象:招募130名女性劳动者(公式回归程序110名，比较阶段20名)作为无腿部手术史、创伤或畸形报告的研究对象。方法:使用一套三维扫描仪测量每个受试者的腿部距离数据。结果:所得LV估计公式为LV = 0.215 × LL × CTH1.620, R2 = 0.967，其中LL为腿长，CTH为大腿围。本研究LV估计的平均误差为0.10%，远小于前人研究的平均值(25.11%，差异有统计学意义)。结论:本研究建立了女工腿体积的人体测量估算公式。该公式的估计平均误差远小于前人的研究。该公式使用方便，对测算女性劳动者的腿部体积有较好的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Human Biology 生物-公共卫生、环境卫生与职业卫生

CiteScore

3.40

自引率

5.90%

发文量

审稿时长

1 months

期刊介绍： Annals of Human Biology is an international, peer-reviewed journal published six times a year in electronic format. The journal reports investigations on the nature, development and causes of human variation, embracing the disciplines of human growth and development, human genetics, physical and biological anthropology, demography, environmental physiology, ecology, epidemiology and global health and ageing research.