Purpose: The purpose of this study was to determine the validity and reliability of the LeanScreenTM (LS) mobile application that estimates percent body fat (%BF) using estimates of circumferences from photographs.
Methods: The %BF of 148 weight-stable adults was estimated once using DXA. Each of two administrators assessed the %BF of each subject twice using the LS app and manually measured circumferences. A mixed model ANOVA and Bland-Altman analyses were used to compare the estimates of %BF obtained from each method. Inter- and intrarater reliability was determined using multiple measurements taken by each of two administrators.
Results: The LS app and manually measured circumferences significantly underestimated (p < 0.05) the %BF determined by DXA by an average of -3.26 and -4.82 %BF, respectively. The LS app (6.99 %BF) and manually measured circumferences (6.76 %BF) had large limits of agreement. All inter- and intrarater reliability coefficients of estimates of %BF using the LS app and manually measured circumferences exceeded 0.99.
Conclusions: The estimates of %BF from manually measured circumferences and the LS app were highly reliable. However, these field measures are not recommended for the assessment of body composition due to significant bias and large limits of agreements.
(C) 2017 American College of Sports Medicine