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Correction: Farina, G.L., et al. A Smartphone Application for Personal Assessments of Body Composition and Phenotyping. Sensors 2016, 16, 2163
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Correction published on 23 February 2017, see Sensors 2017, 17(3), 434.

Open AccessArticle
Sensors 2016, 16(12), 2163; doi:10.3390/s16122163

A Smartphone Application for Personal Assessments of Body Composition and Phenotyping

1
Section of Clinical Nutrition and Nutrigenomic, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Rome 00173, Italy
2
Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, ND 58202-7166, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Ki H. Chon
Received: 25 August 2016 / Revised: 9 December 2016 / Accepted: 13 December 2016 / Published: 17 December 2016
(This article belongs to the Special Issue Smartphone-Based Sensors for Non-Invasive Physiological Monitoring)
View Full-Text   |   Download PDF [543 KB, uploaded 23 February 2017]   |  

Abstract

Personal assessments of body phenotype can enhance success in weight management but are limited by the lack of availability of practical methods. We describe a novel smart phone application of digital photography (DP) and determine its validity to estimate fat mass (FM). This approach utilizes the percent (%) occupancy of an individual lateral whole-body digital image and regions indicative of adipose accumulation associated with increased risk of cardio-metabolic disease. We measured 117 healthy adults (63 females and 54 males aged 19 to 65 years) with DP and dual X-ray absorptiometry (DXA) and report here the development and validation of this application. Inter-observer variability of the determination of % occupancy was 0.02%. Predicted and reference FM values were significantly related in females (R2 = 0.949, SEE = 2.83) and males (R2 = 0.907, SEE = 2.71). Differences between predicted and measured FM values were small (0.02 kg, p = 0.96 and 0.07 kg, p = 0.96) for females and males, respectively. No significant bias was found; limits of agreement ranged from 5.6 to −5.4 kg for females and from 5.6 to −5.7 kg for males. These promising results indicate that DP is a practical and valid method for personal body composition assessments. View Full-Text
Keywords: body composition assessment; mobile health; weight management body composition assessment; mobile health; weight management
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Farina, G.L.; Spataro, F.; De Lorenzo, A.; Lukaski, H. A Smartphone Application for Personal Assessments of Body Composition and Phenotyping. Sensors 2016, 16, 2163.

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