Training-induced changes in daily energy expenditure : Methodological evaluation using wrist-worn accelerometer, heart rate monitor, and doubly labeled water technique
Kinnunen, H., Häkkinen, K., Schumann, M., Karavirta, L., Westerterp, K. R., & Kyröläinen, H. (2019). Training-induced changes in daily energy expenditure : Methodological evaluation using wrist-worn accelerometer, heart rate monitor, and doubly labeled water technique. PLoS ONE, 14(7), Article e0219563. https://doi.org/10.1371/journal.pone.0219563
Published inPLoS ONE
© 2019 Kinnunen et al.
Introduction: Wrist-mounted motion sensors can quantify the volume and intensity of physical activities, but little is known about their long-term validity. Our aim was to validate a wrist motion sensor in estimating daily energy expenditure, including any change induced by long-term participation in endurance and strength training. Supplemental heart rate monitoring during weekly exercise was also investigated. Methods: A 13-day doubly labeled water (DLW) measurement of total energy expenditure (TEE) was performed twice in healthy male subjects: during two last weeks of a 12-week Control period (n = 15) and during two last weeks of a 12-week combined strength and aerobic Training period (n = 13). Resting energy expenditure was estimated using two equations: one with body weight and age, and another one with fat-free mass. TEE and activity induced energy expenditure (AEE) were determined from motion sensor alone, and from motions sensor combined with heart rate monitor, the latter being worn during exercise only. Results: When body weight and age were used in the calculation of resting energy expenditure, the motion sensor data alone explained 78% and 62% of the variation in TEE assessed by DLW at the end of Control and Training periods, respectively, with a bias of +1.75 (p <.001) and +1.19 MJ/day (p = .002). When exercise heart rate data was added to the model, the combined wearable device approach explained 85% and 70% of the variation in TEE assessed by DLW with a bias of +1.89 and +1.75 MJ/day (p <.001 for both). While significant increases in TEE and AEE were detected by all methods as a result of participation in regular training, motion sensor approach underestimated the change measured by DLW: +1.13±0.66 by DLW, +0.59±0.69 (p = .004) by motion sensor, and +0.98±0.70 MJ/day by combination of motion sensor and heart rate. Use of fat-free mass in the estimation of resting energy expenditure removed the biases between the wearable device estimations and the golden standard reference method of TEE and demonstrated a training-induced increase in resting energy expenditure by +0.18±0.13 MJ/day (p <.001). Conclusions: Wrist motion sensor combined with a heart rate monitor during exercise sessions, showed high agreement with the golden standard measurement of daily TEE and its change induced by participation in a long-term training protocol. The positive findings concerning the validity, especially the ability to follow-up the change associated with a lifestyle modification, can be considered significant because they partially determine the feasibility of wearable devices as quantifiers of health-related behavior. ...
PublisherPublic Library of Science
Publication in research information system
MetadataShow full item record
- Liikuntatieteiden tiedekunta 
Additional information about fundingThis study was supported by grants from the Finnish Ministry of Education and Culture, and Polar Electro.
Showing items with similar title or keywords.
Kortelainen, Lauri; Helske, Jouni; Finni, Taija; Mehtätalo, Lauri; Tikkanen, Olli; Kärkkäinen, Salme (Institute of Physics, 2021)Objective: Heart rate (HR) monitoring provides a convenient and inexpensive way to predict energy expenditure (EE) during physical activity. However, there is a lot of variation among individuals in the EE-HR relationship, ...
The effects of physical activity and diet change on intracellular lipids and metabolism in mice with diet-induced obesity Rinnankoski-Tuikka, Rita (University of Jyväskylä, 2014)
Jurvelin, Heidi; Tanskanen-Tervo, Minna; Kinnunen, Hannu; Santtila, Matti; Kyröläinen, Heikki (Lippincott Williams & Wilkins, 2020)Purpose: To compare training load and energy expenditure during an 8-week military BT period among individuals having different fitness level using objective measurements in an authentic environment. Methods: Thirty-four ...
Comparison of acute and chronic exercise effects in the lipid droplets topography skeletal muscle, following high and low-fat diet in mice Triantou, Vasiliki (2015)In the modern world, diet patterns high on lipids, sedentary lifestyle and obesity contribute all in the development of metabolic syndrome, which in turn can lead to type 2 diabetes. All the excess fats, that the majority ...
Effects of exercise and genetics on skeletal muscle lipid metabolism with focus on the localization and association of lipid droplets, mitochondria ja PLIN5 Adeniran, Ajani Anuoluwapo (2018)Low exercise capacity has been identified as a stronger predictor of morbidity and mortality relative to other commonly reported risk factors. Substrate metabolism, especially lipid storage, lipolysis and transportation ...