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Abstract

Technology for apps that track health is becoming more popular, and many of these apps have not been examined for reliability. PURPOSE: to assess reliability of a commercially available body scanning app for body composition. METHODS: Thirty-two participants (age= 25.9±9.1 years, height= 165.5±10.9 cm, weight= 79.0±20.6 kg) had body composition measured using the MeThreeSixty app two times between three and seven days apart. Pearson’s Product Moment correlations were used to assess interclass reliability from trial 1 to trial 2 and Cronbach’s Alpha was used to assess intraclass reliability. Repeated Measures ANOVA were used to discern significant differences between the trials. Alpha was set at .05 for all tests. RESULTS: Repeated Measures ANOVA identified no significant difference between the trials (F(1, 31) = 2.38, p = 0.133). There was significant interclass reliability between trial 1 and trial 2 (rXX(32) = .731, p = .001) and Cronbach’s Alpha was also significant (α = .831, p = .001). CONCLUSION: Since the results were the same each trail and substantial reliability was indicated, this app may be used for tracking the body composition profile. Future studies may explore assessing more trials over a longer period of time.

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