Lack of validity of free-living physical activity energy expenditure estimated from ActiGraph equations in severely obese women: A doubly labelled water study. Issue 14 (18th July 2022)

• Record Type: Journal Article
• Authors: Ribeiro, Anna Gabriela Silva Vilela; Crisp, Alex Harley; Ravelli, Michele Novaes; de Oliveira, Maria Rita Marques; Verlengia, Rozangela
• Is Part Of: Journal of sports sciences. Volume 40:Issue 14(2022)
• Page Start: 1552
• Page End: 1557
• Publication Date: 2022-07-18
• Subjects: Accelerometery -- obesity -- energetic cost -- agreement; Sports -- Periodicals; Sports -- Physiological aspects -- Periodicals; Sports -- Psychological aspects -- Periodicals; 612.044
• DOI: 10.1080/02640414.2022.2091346
• Languages: English
• ISSNs: 0264-0414

Abstract

ABSTRACT: The current study aimed to investigate the validity of three ActiGraph predictive equations that are available to estimate free-living physical activity energy expenditure (PAEE) in women with severe obesity. The study included 20 women with class III obesity (age: 22–38 years). During 14 days of free-living conditions, total energy expenditure was measured using the doubly labelled water method; in addition, participants wore a triaxial accelerometer (model GT3X+) on the hip. The resting metabolic rate was measured by indirect calorimetry. At group level, the Freedson VM3 Combination was found to be more precise (bias = −61 kcal/day) than the Williams Work-Energy (bias = −283 kcal/day) and the Freedson Combination equations (bias = −186 kcal/day) for estimating PAEE. However, the three predictive equations had a wider limit of agreement (Williams Work-Energy [258, −824 kcal/day], Freedson Combination equations [324, −697 kcal/day] and Freedson VM3 Combination [424, −546 kcal/day]), indicating great uncertainty of the estimate. In conclusion, a wide variation was observed in the performance of different ActiGraph equations in estimating free-living PAEE among women with class III obesity. Therefore, our data do not support the use of these equations, and more studies are needed to improve predictive performance in free-living conditions.