Institut für Klinische Chemie, Universitätsklinikum Schleswig-Holstein, Kiel, Germany.
Endokrinologie, Diabetologie und Stoffwechselmedizin, Universitätsklinik Bonn, Bonn, Germany.
PLoS One. 2022 Sep 1;17(9):e0271880. doi: 10.1371/journal.pone.0271880. eCollection 2022.
The present study refers to an anthropometric model, Dahlmann-Body-Analysis (DBA), based on formerly developed weight-height-frame tables. Including the anthropometric variable abdomen circumference (AC), a further differentiation into muscularity and fat mass could be realized. This enables to calculate the individual percentage fat mass (%FM), providing a cost-effective method for epidemiological studies. The present work sets out to investigate, whether %FM computed by the DBA model compares to BIA measurements, notably under conditions of heavy obesity.
SUBJECTS/METHODS: In 103 adults (37 males, 66 females, age 42.5 ± 12.5 years, BMI 38.2 ± 4.8 kg/m²) %FM was estimated by a tetrapolar BIA device and compared to results derived by the DBA system. Bland-Altman and simple linear regression analyses were used to determine agreement between methods.
The mean %FM estimates of men (women) ± standard deviation were 36.1 ± 4.8 (49.7 ± 4.5) for BIA and 36.7 ± 4.2 (49.1 ± 4.9) for DBA measurements. Pearson correlation coefficients (r) and Lin's concordance correlation coefficient (CCC) were r = 0.86 and CCC = 0.84 for men and r = 0.85 and CCC = 0.83 for women, respectively. Bland-Altman plot showed limits of agreement between DBA and BIA %FM that ranged from 5.5% to -4.3% for men and 4.6% to- 5.7% for women, respectively. Correlations between values measured by both methods were high and the observed confidence interval (SD of the difference between DBA and BIA result multiplied by 2) was low. No systematic error was found. The DBA system overestimates FM by 0.63 ± 4.98 (2SD) % for men and underestimates FM by -0.56 ± 5.28 (2SD) % for women, respectively, compared to the BIA results. The result for both genders is -0.066 ± 5.17 (2SD) %FM. Over all, there is a strong concordance and reproducibility between the DBA and BIA data sets.
The implementation of the abdomen circumference (AC) into the DBA model as a proxy for body fat (%FM) resulted in a strong concordance with BIA measurements. These findings indicate that the DBA model may reflect the body shape of severely obese white European patients with regard to body composition.
本研究提到了一种基于先前开发的体重-身高-体型表的人体测量模型，即 Dahlmann-Body-Analysis（DBA）。通过纳入人体测量变量腰围（AC），可以进一步区分肌肉质量和脂肪质量。这使得个体脂肪百分比（%FM）的计算成为可能，为流行病学研究提供了一种具有成本效益的方法。本研究旨在探讨 DBA 模型计算的%FM 是否与 BIA 测量值相符，特别是在肥胖程度较重的情况下。
对象/方法：在 103 名成年人（37 名男性，66 名女性，年龄 42.5±12.5 岁，BMI 38.2±4.8kg/m²）中，使用四极 BIA 设备估计%FM，并将结果与 DBA 系统的结果进行比较。使用 Bland-Altman 和简单线性回归分析来确定方法之间的一致性。
男性（女性）的平均%FM 估计值±标准差分别为 BIA 测量的 36.1±4.8（49.7±4.5）和 DBA 测量的 36.7±4.2（49.1±4.9）。男性的 Pearson 相关系数（r）和 Lin 的一致性相关系数（CCC）分别为 0.86 和 0.84，女性的 r 为 0.85，CCC 为 0.83。Bland-Altman 图显示 DBA 和 BIA%FM 之间的界限在男性为 5.5%至-4.3%，女性为 4.6%至-5.7%。两种方法测量的值之间的相关性较高，观察到的置信区间（DBA 和 BIA 结果之间差异的标准差乘以 2）较低。未发现系统误差。与 BIA 结果相比，DBA 系统分别高估男性 FM 结果 0.63±4.98（2SD）%，低估女性 FM 结果-0.56±5.28（2SD）%。两种性别均为-0.066±5.17（2SD）%FM。总体而言，DBA 和 BIA 数据集之间具有很强的一致性和可重复性。
将腰围（AC）纳入 DBA 模型作为体脂肪（%FM）的代表，与 BIA 测量结果具有很强的一致性。这些发现表明，DBA 模型可能反映了严重肥胖的白种欧洲患者的身体形态和身体成分。
