Näytä suppeat kuvailutiedot

dc.contributor.authorKinnunen, Hannu
dc.contributor.authorHäkkinen, Keijo
dc.contributor.authorSchumann, Moritz
dc.contributor.authorKaravirta, Laura
dc.contributor.authorWesterterp, Klaas R.
dc.contributor.authorKyröläinen, Heikki
dc.date.accessioned2019-10-07T11:44:04Z
dc.date.available2019-10-07T11:44:04Z
dc.date.issued2019
dc.identifier.citationKinnunen, 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. <i>PLoS ONE</i>, <i>14</i>(7), Article e0219563. <a href="https://doi.org/10.1371/journal.pone.0219563" target="_blank">https://doi.org/10.1371/journal.pone.0219563</a>
dc.identifier.otherCONVID_32118629
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/65760
dc.description.abstractIntroduction: 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.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE
dc.rightsCC BY 4.0
dc.subject.otherbioenergetiikka
dc.subject.othersyke
dc.subject.othersykemittarit
dc.subject.otherliikunta
dc.subject.otherfyysinen aktiivisuus
dc.subject.otheraineenvaihdunta
dc.subject.othervoimaharjoittelu
dc.subject.otherrasvat
dc.subject.otherbioenergetics
dc.subject.otherheart rate
dc.subject.otherexercise
dc.subject.otherphysical activity
dc.subject.otherenergy metabolism
dc.subject.otherstrength training
dc.subject.otherbody weight
dc.subject.otherfats
dc.titleTraining-induced changes in daily energy expenditure : Methodological evaluation using wrist-worn accelerometer, heart rate monitor, and doubly labeled water technique
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201910074342
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineGerontologian tutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiaineGerontology Research Centeren
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1932-6203
dc.relation.numberinseries7
dc.relation.volume14
dc.type.versionpublishedVersion
dc.rights.copyright© 2019 Kinnunen et al.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosykemittarit
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysobioenergetiikka
dc.subject.ysoaineenvaihdunta
dc.subject.ysosyke
dc.subject.ysorasvat
dc.subject.ysovoimaharjoittelu
dc.subject.ysoliikunta
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p12342
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p1374
jyx.subject.urihttp://www.yso.fi/onto/yso/p3066
jyx.subject.urihttp://www.yso.fi/onto/yso/p3751
jyx.subject.urihttp://www.yso.fi/onto/yso/p4153
jyx.subject.urihttp://www.yso.fi/onto/yso/p16233
jyx.subject.urihttp://www.yso.fi/onto/yso/p916
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1371/journal.pone.0219563
jyx.fundinginformationThis study was supported by grants from the Finnish Ministry of Education and Culture, and Polar Electro.
dc.type.okmA1


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