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Energy balance
Including simple variables such as body mass and sex in regression models improved the predictions of accelerometer-assessed TEE.
Incorporating individual characteristics like body mass and sex can enhance the accuracy of TEE assessments using accelerometers.
StrongSupportsmedium confidence
When body mass and/or sex were included in regression models, all predictions were improved and the SEE was reduced to 7-9% of DLW-measured TEE.
Why this rating
Based on the statistical improvements noted in the study.
Source
Free-living Total Energy Expenditure Assessed using Three Accelerometer Models Validated against Doubly-Labelled Water
William E. Kraus et al. · Medicine & Science in Sports & Exercise · 2017
DOI 10.1249/01.mss.0000518362.85418.f8
cohort · n=123Cited 2×
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
More from this paper
- The three evaluated accelerometers provided estimates of total energy expenditure (TEE) differing significantly from TEE measured by doubly labeled water (DLW), with differences ranging from -690 to 220 kcal/d.Strong
- Regression equations generated from accelerometer-assessed TEE accounted for 46-74% of the variability in DLW-measured TEE.Strong
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