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技术说明:根据身高和骨盆宽度预测体重

Technical note: Prediction of body mass from stature and pelvic breadth.

作者信息

Ruff Christopher B, Wallace Ian J, Abeyta-Brown Amaya, Butler Madison, Busby Taylor

机构信息

Center for Functional Anatomy and Evolution, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, USA.

出版信息

Am J Biol Anthropol. 2024 Oct;185(2):e25004. doi: 10.1002/ajpa.25004. Epub 2024 Jul 26.

Abstract

Equations for predicting body mass from stature and bi-iliac (maximum pelvic) breadth have been developed, but have had variable success when applied to living or recently deceased individuals, calling into question their general applicability. Here we test these equations on a large, ethnically diverse sample. Skeletal and anthropometric data for 507 recently deceased Indigenous, Hispanic, and non-Hispanic White adults were obtained from the New Mexico Decedent Image Database. The body mass of individuals with a "normal" body mass index (BMI = 18.5-24.9) is very accurately predicted, with an average directional bias of about 1% and an average random error of less than 8%. Underweight individuals (BMI < 18.5) are overpredicted, while overweight (BMI = 25-29.9) and especially obese (BMI≥30) individuals are underpredicted. Within BMI categories, there is a strong and isometric relationship between predicted and true body mass. Individual body mass prediction errors using the stature/bi-iliac method are mainly dependent on variation in BMI. Because earlier humans were more likely to fall within or close to the normal BMI range, the equations should be applicable, on an individual basis, in archeological and paleontological contexts. Because of the prevalence of obesity in many modern populations, these equations are not applicable in a general forensic context. We derive new equations from nonobese individuals in our sample (n = 338), which produce reasonable average prediction errors. If obese individuals can be identified using other skeletal parameters, these equations may be useful in estimating body mass in nonobese forensic cases.

摘要

已经开发出根据身高和双髂嵴(最大骨盆)宽度预测体重的公式,但应用于活体或近期死亡个体时,成功率各不相同,这让人质疑它们的普遍适用性。在此,我们在一个种族多样的大样本上测试了这些公式。从新墨西哥州死者图像数据库获取了507名近期死亡的原住民、西班牙裔和非西班牙裔白人成年人的骨骼和人体测量数据。对于体重指数“正常”(BMI = 18.5 - 24.9)的个体,体重预测非常准确,平均方向偏差约为1%,平均随机误差小于8%。体重过轻的个体(BMI < 18.5)被高估,而超重(BMI = 25 - 29.9)尤其是肥胖(BMI≥30)的个体被低估。在BMI类别中,预测体重与实际体重之间存在强等距关系。使用身高/双髂嵴方法的个体体重预测误差主要取决于BMI的变化。由于早期人类更有可能处于或接近正常BMI范围,这些公式在考古和古生物学背景下,就个体而言应该是适用的。由于许多现代人群中肥胖普遍,这些公式在一般法医背景下不适用。我们从样本中的非肥胖个体(n = 338)推导出新的公式,其产生的平均预测误差合理。如果可以使用其他骨骼参数识别肥胖个体,这些公式可能有助于在非肥胖法医案件中估计体重。

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