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基于体重指数(BMI)为黎巴嫩超重及肥胖成年人开发一种易于使用的体脂百分比预测方程。

Development of an Easy-to-Use Prediction Equation for Body Fat Percentage Based on BMI in Overweight and Obese Lebanese Adults.

作者信息

Itani Leila, Tannir Hana, El Masri Dana, Kreidieh Dima, El Ghoch Marwan

机构信息

Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut 11072809, Lebanon.

出版信息

Diagnostics (Basel). 2020 Sep 21;10(9):728. doi: 10.3390/diagnostics10090728.

DOI:10.3390/diagnostics10090728
PMID:32967261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7555778/
Abstract

An accurate estimation of body fat percentage (BF%) in patients who are overweight or obese is of clinical importance. In this study, we aimed to develop an easy-to-use BF% predictive equation based on body mass index (BMI) suitable for individuals in this population. A simplified prediction equation was developed and evaluated for validity using anthropometric measurements from 375 adults of both genders who were overweight or obese. Measurements were taken in the outpatient clinic of the Department of Nutrition and Dietetics at Beirut Arab University (Lebanon). A total of 238 participants were used for model building (training sample) and another 137 participants were used for evaluating validity (validation sample). The final predicted model included BMI and sex, with non-significant prediction bias in BF% of -0.017 ± 3.86% ( = 0.946, Cohen's d = 0.004). Moreover, a Pearson's correlation between measured and predicted BF% was strongly significant (r = 0.84, < 0.05). We are presenting a model that accurately predicted BF% in 61% of the validation sample with an absolute percent error less than 10% and non-significant prediction bias (-0.028 ± 4.67%). We suggest the following equations: BF% = 0.624 × BMI + 21.835 and BF% = 1.050 × BMI - 4.001 for accurate BF% estimation in patients who are overweight or obese in a clinical setting in Lebanon.

摘要

准确估算超重或肥胖患者的体脂百分比(BF%)具有临床重要性。在本研究中,我们旨在基于体重指数(BMI)开发一个适用于该人群个体的易于使用的BF%预测方程。利用来自黎巴嫩贝鲁特阿拉伯大学营养与饮食学系门诊的375名超重或肥胖的成年男女的人体测量数据,开发了一个简化的预测方程并评估其有效性。总共238名参与者用于模型构建(训练样本),另外137名参与者用于评估有效性(验证样本)。最终的预测模型包括BMI和性别,BF%的预测偏差不显著,为-0.017±3.86%(P = 0.946,科恩d值 = 0.004)。此外,实测BF%与预测BF%之间的皮尔逊相关性非常显著(r = 0.84,P < 0.05)。我们提出的模型在61%的验证样本中准确预测了BF%,绝对百分比误差小于10%,预测偏差不显著(-0.028±4.67%)。对于黎巴嫩临床环境中超重或肥胖患者的BF%准确估算,我们建议使用以下方程:BF% = 0.624×BMI + 21.835和BF% = 1.050×BMI - 4.001。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/a2e612dec137/diagnostics-10-00728-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/6a4a086d3d41/diagnostics-10-00728-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/1c4f34a74c0c/diagnostics-10-00728-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/a2e612dec137/diagnostics-10-00728-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/6a4a086d3d41/diagnostics-10-00728-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/1c4f34a74c0c/diagnostics-10-00728-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5caa/7555778/a2e612dec137/diagnostics-10-00728-g003.jpg

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