Lack of validity of free-living physical activity energy expenditure estimated from ActiGraph equations in severely obese women: A doubly labelled water study

被引:2
作者
Silva Vilela Ribeiro, Anna Gabriela [1 ]
Crisp, Alex Harley [1 ]
Ravelli, Michele Novaes [2 ,3 ]
Marques de Oliveira, Maria Rita [4 ]
Verlengia, Rozangela [1 ]
机构
[1] Methodist Univ Piracicaba UNIMEPPostgrad, Program Human Movement Sci, Piracicaba, Brazil
[2] Univ Wisconsin, Dept Neurol, Madison, WI 53706 USA
[3] Univ Wisconsin, Biotechnol Ctr, Madison, WI USA
[4] Sao Paulo State Univ UNESP, Inst Biosci, Botucatu, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
Accelerometery; obesity; energetic cost; agreement;
D O I
10.1080/02640414.2022.2091346
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
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.
引用
收藏
页码:1552 / 1557
页数:6
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