ECE2020 Audio ePoster Presentations Diabetes, Obesity, Metabolism and Nutrition (285 abstracts)
Comparison of basal metabolism rate assessment in athletes using indirect calorimetry, bioimpedance, and wearable monitors
Antonio Fernandes Oliveira-Filho 1 , Adriana Nunes 2 , Wesley Cavalcanti Cruz 1 , Erika Carla Silva Lima 1 , Lucas Cosmo Rocha 1 , Edmar Candeia Gurjao 3 & Paulo Eduardo Silva Barbosa 1
1State University of Paraiba, Center for Strategic Health Technologies, Brazil; 2Federal University Rio Grande Norte, Brazil; 3Federal University Campina Grande, Brazil
Wearable physical activity monitors are growing in popularity as they provide the opportunity for self-monitoring, real time data collection and data sharing for cardiovascular and sports medicine. However, there are discussions about the accuracy of their energy expenditure estimate. This study examined and compared basal metabolic rate through indirect calorimetry and through wrist-worn devices and bioimpedance. The group consisted of 30 healthy male individuals, professional football athletes, the age ranged from 20 to 38 years (26.81 ± 4.78 years). Basal Metabolic Rate (BMR) data from the FitbitIonic collected during the protocol were compared with RJL System Bioimpedance and Indirect Calorimetry Cosmed. Anthropometric measures, body composition, and laboratory data were also observed. Spearman correlation and Mann-Whitney tests were used to calculate differences and correlations to examine associations between kcals measured from the Fitbit and bioimpedance from indirect calorimetry. Basal metabolic rate was 1824 kcal to 3504 kcal (2620.75 ± 424.79). Results indicate significant (P < 0.001) underestimations of kcals for Fitbit Ionic (1771 ± 111,64). Moderate correlations were observed for the Fitbit and bioimpedance data. Body composition seems to influence Fitbit results, but hormonal status or anthropometric and physical findings were not associated to them. These findings support that caution is necessary when incorporating wearable devices BMR data, especially with weight reducing goals
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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