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dc.contributor.authorBrage, Soren
dc.contributor.authorWestgate, Kate
dc.contributor.authorFranks, Paul W
dc.contributor.authorStegle, Oliver
dc.contributor.authorWright, Antony
dc.contributor.authorEkelund, Ulf
dc.contributor.authorWareham, Nicholas
dc.date.accessioned2015-08-19T10:56:40Z
dc.date.available2015-08-19T10:56:40Z
dc.date.issued2015
dc.identifier.citationPLOS ONE 2015, 10(9): e0137206. doi:10.1371/journal.pone.0137206
dc.identifier.issn1932-6203
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/250311
dc.description.abstractBACKGROUND: Accurate assessment of energy expenditure (EE) is important for the study of energy balance and metabolic disorders. Combined heart rate (HR) and acceleration (ACC) sensing may increase precision of physical activity EE (PAEE) which is the most variable component of total EE (TEE). OBJECTIVE: To evaluate estimates of EE using ACC and HR data with or without individual calibration against doubly-labelled water (DLW) estimates of EE. DESIGN: 23 women and 23 men (22-55 yrs, 48-104 kg, 8-46%body fat) underwent 45-min resting EE (REE) measurement and completed a 20-min treadmill test, an 8-min step test, and a 3-min walk test for individual calibration. ACC and HR were monitored and TEE measured over 14 days using DLW. Diet-induced thermogenesis (DIT) was calculated from food-frequency questionnaire. PAEE (TEE ÷ REE ÷ DIT) and TEE were compared to estimates from ACC and HR using bias, root mean square error (RMSE), and correlation statistics. RESULTS: Mean(SD) measured PAEE and TEE were 66(25) kJ·day(-1)·kg(-1), and 12(2.6) MJ·day(-1), respectively. Estimated PAEE from ACC was 54(15) kJ·day(-1)·kg(-1) (p<0.001), with RMSE 24 kJ·day(-1)·kg(-1) and correlation r = 0.52. PAEE estimated from HR and ACC+HR with treadmill calibration were 67(42) and 69(25) kJ·day(-1)·kg(-1) (bias non-significant), with RMSE 34 and 20 kJ·day(-1)·kg(-1) and correlations r = 0.58 and r = 0.67, respectively. Similar results were obtained with step-calibrated and walk-calibrated models, whereas non-calibrated models were less precise (RMSE: 37 and 24 kJ·day(-1)·kg(-1), r = 0.40 and r = 0.55). TEE models also had high validity, with biases <5%, and correlations r = 0.71 (ACC), r = 0.66-0.76 (HR), and r = 0.76-0.83 (ACC+HR). CONCLUSIONS: Both accelerometry and heart rate may be used to estimate EE in adult European men and women, with improved precision if combined and if heart rate is individually calibrated.
dc.description.sponsorshipThe study received financial support from Wellcome Trust, Unilever UK, and the Medical Research Council (MC_UU_12015/3).
dc.languageEnglish
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 2.0 UK: England & Wales
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/
dc.subjectEnergy expenditure
dc.subjectfree-living
dc.subjectphysical activity
dc.subjectmonitoring
dc.subjectindividual calibration
dc.subjectheart rate
dc.subjectaccelerometry
dc.subjectmovement sensor
dc.titleEstimation of Free-Living Energy Expenditure by Heart Rate and Movement Sensing: A Doubly-Labelled Water Study.
dc.typeArticle
dc.description.versionThis is the final version of the article. It first appeared from PLOS via http://dx.doi.org/10.1371/journal.pone.0137206
prism.numbere0137206
prism.publicationDate2015
prism.publicationNamePLoS One
prism.volume10
dc.rioxxterms.funderWellcome Trust
dc.rioxxterms.funderMRC
dc.rioxxterms.projectidMC_UU_12015/3
dcterms.dateAccepted2015-08-14
rioxxterms.versionofrecord10.1371/journal.pone.0137206
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-09-08
dc.contributor.orcidBrage, Soren [0000-0002-1265-7355]
dc.contributor.orcidWestgate, Kate [0000-0002-0283-3562]
dc.contributor.orcidWareham, Nicholas [0000-0003-1422-2993]
dc.identifier.eissn1932-6203
rioxxterms.typeJournal Article/Review
pubs.funder-project-idMedical Research Council (MC_UU_12015/3)
pubs.funder-project-idMedical Research Council (MC_UU_12015/1)
pubs.funder-project-idMedical Research Council (MC_U106179471)
cam.issuedOnline2015-09-08


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Except where otherwise noted, this item's licence is described as Attribution 2.0 UK: England & Wales