The Use of Body Mass Index for the Diagnosis of Obesity: A Comparative study with Bioelectrical Impedance Analysis

2.50
Hdl Handle:
http://hdl.handle.net/10755/156288
Type:
Presentation
Title:
The Use of Body Mass Index for the Diagnosis of Obesity: A Comparative study with Bioelectrical Impedance Analysis
Abstract:
The Use of Body Mass Index for the Diagnosis of Obesity: A Comparative study with Bioelectrical Impedance Analysis
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Casares, Dania Ochoa, MSN, RN, CNE
P.I. Institution Name:The University of Texas at Brownsville and Texas Southmost College
Title:Instructor
Co-Authors:Gerson Peltz, MD, MPH
[Research Presentation] Body mass index (BMI) has been extensively used to estimate mortality risk associated with overweight and obesity. However, the accuracy of BMI to predict obesity is controversial. BMI does not provide information about the respective contributions of fat-free mass and fat mass to body weight. We investigated the ability of BMI to predict obesity in 445 Mexican American university students (309 females and 136 males). Bioelectrical impedance analysis was used as the reference method and Sun's predictive equations were used to estimate % body fat (%BF). Males with %BF of 25 or higher and females with %BF of 30 or higher were considered obese. BMI did not predict obesity in 64% of obese males and in 74% of obese females. Moreover, 29% of obese males and 48% of obese females had a BMI below 25. BMI is not a good indicator of obesity in Mexican American university students and further investigations using gold standard methods of body composition are necessary in this ethnic group.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleThe Use of Body Mass Index for the Diagnosis of Obesity: A Comparative study with Bioelectrical Impedance Analysisen_GB
dc.identifier.urihttp://hdl.handle.net/10755/156288-
dc.description.abstract<table><tr><td colspan="2" class="item-title">The Use of Body Mass Index for the Diagnosis of Obesity: A Comparative study with Bioelectrical Impedance Analysis</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Casares, Dania Ochoa, MSN, RN, CNE</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">The University of Texas at Brownsville and Texas Southmost College</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Instructor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">dania.casares1@utb.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Gerson Peltz, MD, MPH</td></tr><tr><td colspan="2" class="item-abstract">[Research Presentation] Body mass index (BMI) has been extensively used to estimate mortality risk associated with overweight and obesity. However, the accuracy of BMI to predict obesity is controversial. BMI does not provide information about the respective contributions of fat-free mass and fat mass to body weight. We investigated the ability of BMI to predict obesity in 445 Mexican American university students (309 females and 136 males). Bioelectrical impedance analysis was used as the reference method and Sun's predictive equations were used to estimate % body fat (%BF). Males with %BF of 25 or higher and females with %BF of 30 or higher were considered obese. BMI did not predict obesity in 64% of obese males and in 74% of obese females. Moreover, 29% of obese males and 48% of obese females had a BMI below 25. BMI is not a good indicator of obesity in Mexican American university students and further investigations using gold standard methods of body composition are necessary in this ethnic group.</td></tr></table>en_GB
dc.date.available2011-10-26T14:38:12Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T14:38:12Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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