Skoufas Efstathios, Kanellakis Spyridon, Apostolidou Eftychia, Makridi Theodora, Piggiou Eirini, Papassotiriou Ionas, Georgopoulou Christianna, Manios Yannis
Department of Nutrition & Dietetics, Harokopio University of Athens, Greece.
Department of Nutrition and Dietetics, University of Applied Sciences of Thessaly, Greece.
Clin Nutr ESPEN. 2018 Dec;28:239-242. doi: 10.1016/j.clnesp.2018.07.010. Epub 2018 Aug 29.
Abdominal obesity is associated with adverse health implications. However, the assessment of abdominal adiposity is either indirect, like in the case of waist circumference measurement, or difficult in daily clinical practice, like in the case of using reference methods such as computerized tomography, magnetic resonance imaging, etc. The aim of the current study was to develop and validate, using DXA as reference method, two easy and simple to use protocols, that estimate abdominal fat mass percentage (%AFM) in Greek females and males respectively, based on simple anthropometric measurements.
Circumferences and skinfolds were obtained from 709 Caucasian adults (437 women and 272 men) in order to develop and validate the two equations. The validation and the reliability of the equations were examined with Bland-Altman analysis and Intraclass Correlation Coefficient (ICC).
The equations were: for females, %AFM = -121,368 - (17,322 × Height(m)) + (76,452 × log Abdominal Circumference(cm)) + (18,341 × log Suprailiac Skinfold(mm)) + (8802 × log Abdominal Skinfold(mm)), for males, %AFM = -174,117 - (15,247 × Height(m))+ (104,503 × log Abdominal Circumference(cm)) + (9907 × log Suprailiac Skinfold(mm)) + (7971 × log Abdominal Skinfold(mm)). The equations had no significant bias (0,203% and 0,406%, respectively), acceptable limits of agreement (±9.358% and ±8.780%, respectively) and high reliability (0,940 and 0,957, respectively).
Both equations were found to be valid and reliable for Greek population. Therefore, the utilization of these equations for abdominal fat assessment could be an alternative of labor-intensive, expensive and time-consuming reference methods.
腹部肥胖与不良健康影响相关。然而，腹部肥胖的评估要么是间接的，如腰围测量；要么在日常临床实践中较为困难，如使用计算机断层扫描、磁共振成像等参考方法。本研究的目的是使用双能X线吸收法（DXA）作为参考方法，开发并验证两种简单易用的方案，分别基于简单的人体测量学指标来估计希腊女性和男性的腹部脂肪量百分比（%AFM）。
从709名白种成年人（437名女性和272名男性）中获取周长和皮褶厚度，以开发和验证这两个方程。通过Bland-Altman分析和组内相关系数（ICC）来检验方程的有效性和可靠性。
方程如下：女性，%AFM = -121,368 -（17,322×身高（米））+（76,452×log腹部周长（厘米））+（18,341×log髂上皮肤褶厚度（毫米））+（8802×log腹部皮肤褶厚度（毫米））；男性，%AFM = -174,117 -（15,247×身高（米））+（104,503×log腹部周长（厘米））+（9907×log髂上皮肤褶厚度（毫米））+（7971×log腹部皮肤褶厚度（毫米））。这些方程无显著偏差（分别为0.203%和0.406%），具有可接受的一致性界限（分别为±9.358%和±8.780%）和高可靠性（分别为0.940和0.957）。
发现这两个方程对希腊人群均有效且可靠。因此，利用这些方程进行腹部脂肪评估可替代劳动强度大、昂贵且耗时的参考方法。
