A Smartphone Application for Personal Assessments of Body Composition and Phenotyping

Sensors (Basel). 2016 Dec 17;16(12):2163. doi: 10.3390/s16122163.

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.

Keywords: body composition assessment; mobile health; weight management.

MeSH terms

  • Absorptiometry, Photon
  • Adiposity
  • Adult
  • Anatomic Landmarks
  • Body Composition*
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Male
  • Models, Theoretical
  • Phenotype
  • Smartphone*
  • Software