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Diagnostics
Volume 10
Issue 9
10.3390/diagnostics10090728
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Article

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

by
Leila Itani
,
Hana Tannir
,
Dana El Masri
,
Dima Kreidieh
and
Marwan El Ghoch
*
Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, P.O. Box 11-5020 Riad El Solh, Beirut 11072809, Lebanon
*
Author to whom correspondence should be addressed.
Diagnostics 2020, 10(9), 728; https://doi.org/10.3390/diagnostics10090728
Received: 25 August 2020 / Revised: 18 September 2020 / Accepted: 20 September 2020 / Published: 21 September 2020
(This article belongs to the Special Issue Diagnosis and Management of Obesity, Eating and Weight-Related Disorders)
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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% (p = 0.946, Cohen’s d = 0.004). Moreover, a Pearson’s correlation between measured and predicted BF% was strongly significant (r = 0.84, p < 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% females = 0.624 × BMI + 21.835 and BF% males = 1.050 × BMI − 4.001 for accurate BF% estimation in patients who are overweight or obese in a clinical setting in Lebanon. View Full-Text
Keywords: bioimpedance; body composition; body fat percentage; obesity; predictive equation bioimpedance; body composition; body fat percentage; obesity; predictive equation
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MDPI and ACS Style

Itani, L.; Tannir, H.; El Masri, D.; Kreidieh, D.; El Ghoch, M. Development of an Easy-to-Use Prediction Equation for Body Fat Percentage Based on BMI in Overweight and Obese Lebanese Adults. Diagnostics 2020, 10, 728. https://doi.org/10.3390/diagnostics10090728

AMA Style

Itani L, Tannir H, El Masri D, Kreidieh D, El Ghoch M. Development of an Easy-to-Use Prediction Equation for Body Fat Percentage Based on BMI in Overweight and Obese Lebanese Adults. Diagnostics. 2020; 10(9):728. https://doi.org/10.3390/diagnostics10090728

Chicago/Turabian Style

Itani, Leila, Hana Tannir, Dana El Masri, Dima Kreidieh, and Marwan El Ghoch. 2020. "Development of an Easy-to-Use Prediction Equation for Body Fat Percentage Based on BMI in Overweight and Obese Lebanese Adults" Diagnostics 10, no. 9: 728. https://doi.org/10.3390/diagnostics10090728

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