土耳其肥胖和病态肥胖女性估算体脂的新旧体型指数比较

IF 0.2 Q4 ENDOCRINOLOGY & METABOLISM
Merve Melikoğlu, Can Öner, S. Tüzün, Ş. Temizkan, Ekrem Orbay
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引用次数: 2

摘要

目的:利用间接技术估算脂肪量有助于日常临床实践。本研究旨在比较新的和旧的体型指标,使用生物阻抗分析来评估肥胖和病态肥胖的土耳其女性的体脂量。材料和方法:438名肥胖和病态肥胖女性被纳入研究。研究参与者的人体测量使用标准技术完成。计算体重指数(BMI)、体脂指数(BAI)、体型指数、腰臀比和体圆度指数(BRI)。采用TANITA-48M评估体脂比。结果:除腰围、腰臀比、ABSI外,所有人体测量指标均与体脂(%)相关。BMI和BAI是所有参与者生物阻抗分析得出的体脂比的最佳预测因子。仅对于肥胖女性,单独使用BAI以及BAI与BMI联合使用是体脂(%)的最佳预测方法。在病态肥胖组中,单独BAI被证明是估计体脂(%)的最佳预测方法。结论:在临床实践中,采用间接技术测定体脂比可以帮助医生估计肥胖和病态肥胖患者的疾病风险。BAI可以帮助估算身体脂肪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of New and Old Body Shape Indices to Estimate Body Fat in Obese and Morbid Obese Turkish Females
Objective: The estimation of fat mass with indirect techniques is beneficial in daily clinical practice. This study aimed to compare new and old body shape indices using bioimpedance analysis for the assessment of body fat mass in obese and morbid obese Turkish females. Material and Methods: Four hundred thirty-eight obese and morbid obese females were enrolled in the study. Anthropometric measurements of the study participants were completed using standard techniques. Body mass index (BMI), body adiposity index (BAI), a body shape index, waist to hip ratio and body roundness index (BRI) were calculated. The body fat ratio was evaluated using TANITA-48M. Results: All the anthropometric indices except waist circumference, waist-to-hip ratio, and ABSI correlated with body fat (%). BMI and BAI were the best predictors of body fat ratio derived from bioimpedance analysis for all participants. Only for obese females, BAI alone as well as BAI and BMI together were the best predictive methods of body fat (%). In the morbid obese group, BAI alone proved to be the best predictive method for body fat (%) estimation. Conclusion: In clinical practice, the determination of body fat ratio with indirect techniques may help physicians estimate the risk of diseases in obese and morbid obese patients. BAI can help estimate body fat ratio easily.
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
7
审稿时长
8 weeks
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