Human body surface area scales linearly with height and mass and is largely independent of body composition: a 3-D laser scanning and body composition study.

IF 2.6 3区 医学 Q3 PHYSIOLOGY
David J Jörg, Samantha Kennedy, Peter Kotanko, Steven B Heymsfield
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引用次数: 0

Abstract

Body surface area is fundamental to clinical medicine, underpinning drug dosing in oncology and pediatrics and normalizing physiological variables such as cardiac output and glomerular filtration rate. Despite over a century of use, most body surface area equations adopt power-law forms derived empirically with little explicit biological justification, and whether body composition data improve prediction has remained unclear. Here, we used high-resolution three-dimensional laser scanning to measure body surface area and dual-energy X-ray absorptiometry to measure body composition in 106 healthy adults spanning a wide range of ages, body sizes, and demographic features. Notably, simple linear models predicted body surface area as accurately as complex power-law or body composition-aware formulations: according to sex-specific linear regression, body surface area changes by about 100-115 cm2 per kilogram of body mass and about 70-80 cm2 per centimeter of body height, with no substantial improvement from including lean, fat, or bone mineral mass as separate predictors within the anthropometric range studied. These findings suggest that the long-standing reliance on allometric power-law equations reflects historical convention rather than biological necessity, and that simple linear formulas may suffice for clinical body surface area estimation within the range of body sizes studied here.NEW & NOTEWORTHY Using three-dimensional body scanning and body composition measurements, we show that body surface area scales linearly with height and body mass and is largely independent of how mass is distributed between lean, fat, and bone tissue. Simple linear formulas perform as well as the traditional power-law equations used in clinical practice.

人体表面积与身高和质量呈线性关系,在很大程度上与身体成分无关:一项3D激光扫描和身体成分研究。
体表面积是临床医学的基础,是肿瘤和儿科药物剂量的基础,也是心输出量和肾小球滤过率等生理变量正常化的基础。尽管使用了一个多世纪,但大多数体表面积方程采用幂律形式,几乎没有明确的生物学依据,而且身体成分数据是否能改善预测仍不清楚。在这里,我们使用高分辨率三维激光扫描测量体表面积,并使用双能x射线吸收仪(DXA)测量106名健康成年人的身体成分,这些成年人跨越了广泛的年龄、体型和人口特征。值得注意的是,简单的线性模型预测体表面积的准确性与复杂的幂律或身体成分感知公式一样:根据性别特异性线性回归,体表面积每公斤体重变化约100-115平方厘米,每厘米身高变化约70-80平方厘米,在研究的人体测量范围内,将瘦肉、脂肪或骨矿物质质量作为单独的预测因素没有实质性的改善。这些发现表明,长期以来对异速幂律方程的依赖反映了历史惯例,而不是生物学上的必要性,简单的线性公式可能足以在本文研究的体型范围内进行临床体表面积估计。
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
CiteScore
5.30
自引率
3.60%
发文量
145
审稿时长
2 months
期刊介绍: The American Journal of Physiology-Regulatory, Integrative and Comparative Physiology publishes original investigations that illuminate normal or abnormal regulation and integration of physiological mechanisms at all levels of biological organization, ranging from molecules to humans, including clinical investigations. Major areas of emphasis include regulation in genetically modified animals; model organisms; development and tissue plasticity; neurohumoral control of circulation and hypertension; local control of circulation; cardiac and renal integration; thirst and volume, electrolyte homeostasis; glucose homeostasis and energy balance; appetite and obesity; inflammation and cytokines; integrative physiology of pregnancy-parturition-lactation; and thermoregulation and adaptations to exercise and environmental stress.
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