Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Obesity (Silver Spring). 2011 Jul;19(7):1497-502. doi: 10.1038/oby.2011.39. Epub 2011 Mar 10.
Even though BMI is the most commonly used method for assessing and monitoring obesity, it does not take into account the individual's body fat content assuming instead that body mass is closely associated with body fat, which is a tenuous assumption. The aim of this study was to make a direct comparison between measurements of body fat content using a convenient and rapid Fourier transform near-infrared (FT-NIR) spectroscopy and dual-energy X-ray absorptiometry (DXA). We recruited 52, premenopausal women (age range 19-45), all of whom had a BMI that classified them as either overweight or obese (range: 27-40 kg/m(2), mean: 31.1 ± 3.7 kg/m(2)) and indicated a statistically significant linear relationship between the fat content in kilograms measured by FT-NIR and DXA (r = 0.95, P < 0.001). Bland-Altman analysis showed that almost all the differences between two measurements fell within 2 s.d. We report here that the FT-NIR method provided comparable measurements of subcutaneous body fat content similar to those of total fat obtained using DXA. The FT-NIR method is a lower cost, easy to use and transport, and, based on comparison with DXA, an accurate method to measure body fat content. We propose that FT-NIR is an ideal method for safe repeat measurements in large trials or in screening and monitoring individuals during interventions in which changes in body fat will occur.
尽管 BMI 是评估和监测肥胖最常用的方法,但它没有考虑到个体的体脂含量,而是假设体重与体脂密切相关,这是一个牵强的假设。本研究的目的是直接比较使用方便快捷的傅里叶变换近红外(FT-NIR)光谱和双能 X 射线吸收法(DXA)测量体脂含量。我们招募了 52 名绝经前女性(年龄范围 19-45 岁),所有女性的 BMI 均超重或肥胖(范围:27-40kg/m2,平均值:31.1 ± 3.7kg/m2),FT-NIR 和 DXA 测量的脂肪含量之间呈统计学显著的线性关系(r=0.95,P<0.001)。Bland-Altman 分析表明,两种测量方法之间的几乎所有差异都在 2 个标准差内。我们在这里报告,FT-NIR 方法提供了与 DXA 获得的总脂肪相似的皮下体脂肪含量的可比测量。FT-NIR 方法成本更低,易于使用和运输,并且与 DXA 相比,是一种准确测量体脂肪含量的方法。我们建议 FT-NIR 是在大型试验中进行安全重复测量,或在干预期间筛选和监测个体的理想方法,因为在这些试验中体脂肪会发生变化。