Description

Prediction equations for energy expenditure are determined for pregnant women and non-pregnant women wearing a GENEA on the wrist and non-dominant hip. Root Mean Square Error (RMSE) was 0.68 to 1.03 MJ/day, bias was -0.01 to 0.02 MJ/day, and the coefficient of determination (R²) was -0.03 to 0.26.

Development/Validation

Sample: 178 (37 males) adults, 20-65 years of age, half were pregnant women

Setting: Free-living

Activities: Free-living

Criterion: Doubly labeled water

Accelerometer(s): GENEA on wrist and non-dominant hip

Validation approach: Leave-one-out cross-validation

Phase Designation

(What's this?)

This model is in Phase 3.

Instructions

Acceleration data were filtered using a fourth-order Butterworth band pass filter (0.2–15 Hz). Vector magnitude was calculated as the square root of the sum of the squared acceleration values in each axis and averaged over intervals of one second. Prediction equations for MJ/day are provided separately for pregnant and non-pregnant women.

Source Information

van Hees, V. T., Renström, F., Wright, A., Gradmark, A., Catt, M., Chen, K. Y., ... & Franks, P. W. (2011). Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometer. PloS One, 6(7), e22922. https://doi.org/10.1371/journal.pone.0022922 Link to Paper

Corresponding author: Vincent van Hees, vincent.vanhees@mrc-epid.cam.ac.uk

Contact

Kimberly Clevenger at accelerometerrepository@gmail.com