Estimating energy expenditure from accelerometer data in healthy adults and patients with type 2 diabetes - Université de La Réunion
Journal Articles Experimental Gerontology Year : 2020

Estimating energy expenditure from accelerometer data in healthy adults and patients with type 2 diabetes

Abstract

ObjectiveThe aim of this study was to develop specific prediction equations based on acceleration data measured at three body sites for estimating energy expenditure (EE) during static and active conditions in middle-aged and older adults with and without type 2 diabetes (T2D).Research methodsForty patients with T2D (age: 40–74 yr, body mass index (BMI): 21–29.4 kg·m−2) and healthy participants (age: 47–79 yr, BMI: 20.2–29.8 kg·m−2) completed trials in both static conditions and treadmill walking. For all trials, gas exchange was monitored using indirect calorimetry and vector magnitude was calculated from acceleration data measured using inertial measurement units placed to the participant's center of mass (CM), hip and ankle. Stepwise multiple regression analyses were conducted to select relevant variables to include in the three EE prediction equations, and three Monte Carlo cross-validation procedures were used to evaluate each separate equation.ResultsVector magnitude (p < 0.0001) and personal data (gender, diabetes status and BMI; p < 0.0001) were used to develop three linear prediction equations to estimate EE during static conditions and walking. Cross-validation revealed similar robust coefficients of determination (R2: 0.81 to 0.85) and small bias (mean bias: 0.008 to −0.005 kcal·min−1) for all three equations. However, the equation based on CM acceleration exhibited the lowest root mean square error (0.60 kcal·min−1 vs. 0.65 and 0.69 kcal·min−1 for the hip and ankle equations, respectively; p < 0.001).ConclusionThe three equations based on acceleration data and participant characteristics accurately estimated EE during sedentary conditions and walking in middle-aged and older adults, with or without diabetes.
Fichier principal
Vignette du fichier
S0531556519308344.pdf (238.11 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-02509039 , version 1 (22-08-2022)

Licence

Identifiers

Cite

Nathan Caron, Nicolas Peyrot, Teddy Caderby, Chantal Verkindt, Georges Dalleau. Estimating energy expenditure from accelerometer data in healthy adults and patients with type 2 diabetes. Experimental Gerontology, 2020, 134, pp.110894. ⟨10.1016/j.exger.2020.110894⟩. ⟨hal-02509039⟩
100 View
86 Download

Altmetric

Share

More