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.

Farina, G.l., Spataro, F., de Lorenzo, A., Lukaski, H. (2016). A smartphone application for personal assessments of body composition and phenotyping. SENSORS, 16(12), 2163 [10.3390/s16122163].

A smartphone application for personal assessments of body composition and phenotyping

de Lorenzo, Antonino;
2016-01-01

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.
2016
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/49 - SCIENZE TECNICHE DIETETICHE APPLICATE
English
Con Impact Factor ISI
Body composition assessment; Mobile health; Weight management; Absorptiometry, Photon; Adiposity; Adult; Anatomic Landmarks; Female; Humans; Image Processing, Computer-Assisted; Male; Models, Theoretical; Phenotype; Software; Body Composition; Smartphone; Analytical Chemistry; Atomic and Molecular Physics, and Optics; Biochemistry; Instrumentation; Electrical and Electronic Engineering
http://www.mdpi.com/1424-8220/16/12/2163/pdf
Farina, G.l., Spataro, F., de Lorenzo, A., Lukaski, H. (2016). A smartphone application for personal assessments of body composition and phenotyping. SENSORS, 16(12), 2163 [10.3390/s16122163].
Farina, Gl; Spataro, F; de Lorenzo, A; Lukaski, H
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/203720
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