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The Predictive Role of Raw Bioelectrical Impedance Variables in Disordered Eating Attitudes in Female Ballet Dance Students

机译:原生生物电阻抗变量在女性芭蕾舞舞蹈中无序态度态度的预测作用

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摘要

The present study used receiver operating characteristic (ROC) curve analysis to investigate the accuracy of body composition and raw bioelectrical impedance analysis (BIA) in correctly classifying disordered eating attitudes (DEA) in dance students. Participants were 81 female dancers assigned in two groups: beginner training (BT; age (mean ± SD) = 10.09 ± 1.2 years, n = 32) and advanced training (AT; age = 15.37 ± 2.1 years, n = 49). Fat mass (FM) was estimated by Slaughter’s equation and skeletal muscle with Poortman’s equation. Impedance (Z), resistance (R), reactance (Xc) and phase angle (PhA) were obtained through multifrequency BIA at a frequency of 50 kHz. Fat-free mass (FFM) was assessed using Sun’s equation. For evaluation of DEA, the Eating Attitudes Test-26 (EAT-26) questionnaire was performed. We defined an EAT-26 score ≥ 20 as positive for DEA. Comparisons between groups were performed by a one-way ANOVA test or Kruskall-Wallis test. Spearman’s rank correlation coefficients were performed to assess associations between variables. ROC curve analysis was utilized to test the accuracy of body composition and BIA variables in predicting DEA. In the BT group, Xc and PhA demonstrated high accuracy in predicting DEA with an area under the curve (AUC) of 0.976 (95% confidence interval (CI): 0.85–1.00) and 0.957 (95% CI: 0.82–0.99), respectively, (both p < 0.0001). FFM Sun had an AUC of 0.836 (95% CI: 0.66–0.94) (p < 0.0001) in the BT group and FFM Slaughter was 0.797 (95% CI: 0.66–0.90) (p < 0.001) in the AT group. Reactance and Phase angle were excellent and useful predictors of DEA in the BT group.
机译:本研究使用了接收器操作特征(ROC)曲线分析,研究了身体成分和原始生物电阻抗分析(BIA)的准确性在舞蹈学生的正确分类中正确分类的饮食态度(DEA)。参与者是81名女性舞者分配两组:初学者训练(BT;年龄(平均值±SD)= 10.09±1.2岁,N = 32)和高级培训(AG;年龄= 15.37±2.1年,n = 49)。屠宰的公式和骨骼肌估计脂肪质量(FM),倾斜式方程式估算。阻抗(Z),抗性(R),抗抵抗(XC)和相角(PHA)以50kHz的频率的频率的多频性BIA获得。使用Sun的等式评估无脂肪块(FFM)。对于DEA的评估,进行饮食态度测试-26(EAT-26)问卷。我们定义了一种Eat-26分数≥20,为DEA的阳性。通过单向ANOVA测试或Kruskall-Wallis测试进行组之间的比较。执行Spearman的等级相关系数以评估变量之间的关联。利用ROC曲线分析来测试预测DEA的身体成分和BIA变量的准确性。在BT组中,XC和PHA在预测0.976(95%置信区间(CI):0.85-1.00)和0.957(95%CI:0.82-0.99-0.99)的曲线下(AUC)下的区域进行高精度分别(P <0.0001)。 FFM Sun在BT组中的0.836(95%CI:0.66-0.94)(P <0.0001),FFM屠宰量为0.797(95%CI:0.66-0.90)(P <0.001)。电抗和相位角是BT组DEA的优异且有用的预测因子。

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