G. Redlarski, Slawomir Koziel, Marek Krawczuk, J. Siebert, Marek Tałałaj, Aleksander Palkowski, Piotr Tojza, Zuzanna Cieślikowska, L. Litzbarski
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Furthermore, it was supplement with a comparison with the authors' propositions of enhanced formulas coefficients for known formulas models as well as with new power models based on an increased number of anthropometric data.\n\n\nRESULTS\nIntroduction of the enhanced formulas coefficients cause a reduction of at least 30.5% in mean absolute error and 21.1% in maximum error in comparison with their known counterparts.\n\n\nCONCLUSIONS\nIn the context of the analysis presented it can be stated that the development of a single universal body surface area formula, based on a small number of state variables, is not possible. Therefore, it is necessary and justified to search for new estimation models that allow for quick and accurate calculation of body surface area for the entire population, regardless of individual body variations. The new formulas presented are such an alternative, which achieves better results than the previously known methods. 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引用次数: 0
摘要
目的体表面积(BSA)是多个医学领域使用的主要参数之一。材料和方法作者进行了一项自愿性研究,调查了 179 名不同性别、年龄和体质的成年人的体表面积分布和估算情况。本文对大多数已知的 BSA 计算公式进行了扩展分析。此外,还补充比较了作者为已知公式模型提出的增强公式系数,以及基于更多人体测量数据的新功率模型。结论通过上述分析,我们可以认为,基于少量状态变量开发单一的通用体表面积公式是不可能的。因此,有必要也有理由寻找新的估算模型,以便快速准确地计算整个人群的体表面积,而不考虑个体身体的差异。本文介绍的新公式就是这样一种替代方法,它比以前已知的方法取得了更好的结果。Int J Occup Med Environ Health 2024;37(2).
An improvement of body surface area formulas using the 3D scanning technique.
OBJECTIVES
Body surface area (BSA) is one of the major parameters used in several medical fields. However, there are concerns raised about its usefulness, mostly due to the ambiguity of its estimation.
MATERIAL AND METHODS
Authors have conducted a voluntary study to investigate BSA distribution and estimation in a group of 179 adult people of various sex, age, and physique. Here, there is provided an extended analysis of the majority of known BSA formulas. Furthermore, it was supplement with a comparison with the authors' propositions of enhanced formulas coefficients for known formulas models as well as with new power models based on an increased number of anthropometric data.
RESULTS
Introduction of the enhanced formulas coefficients cause a reduction of at least 30.5% in mean absolute error and 21.1% in maximum error in comparison with their known counterparts.
CONCLUSIONS
In the context of the analysis presented it can be stated that the development of a single universal body surface area formula, based on a small number of state variables, is not possible. Therefore, it is necessary and justified to search for new estimation models that allow for quick and accurate calculation of body surface area for the entire population, regardless of individual body variations. The new formulas presented are such an alternative, which achieves better results than the previously known methods. Int J Occup Med Environ Health 2024;37(2).
期刊介绍:
The Journal is dedicated to present the contemporary research in occupational and environmental health from all over the world. It publishes works concerning: occupational and environmental: medicine, epidemiology, hygiene and toxicology; work physiology and ergonomics, musculoskeletal problems; psychosocial factors at work, work-related mental problems, aging, work ability and return to work; working hours, shift work; reproductive factors and endocrine disruptors; radiation, ionizing and non-ionizing health effects; agricultural hazards; work safety and injury and occupational health service; climate change and its effects on health; omics, genetics and epigenetics in occupational and environmental health; health effects of exposure to nanoparticles and nanotechnology products; human biomarkers in occupational and environmental health, intervention studies, clinical sciences’ achievements with potential to improve occupational and environmental health.