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dc.contributor.authorBrage, Sorenen
dc.contributor.authorWestgate, Kateen
dc.contributor.authorFranks, Paul Wen
dc.contributor.authorStegle, Oliveren
dc.contributor.authorWright, Antonyen
dc.contributor.authorEkelund, Ulfen
dc.contributor.authorWareham, Nicholasen
dc.date.accessioned2015-08-19T10:56:40Z
dc.date.available2015-08-19T10:56:40Z
dc.date.issued2015-09-08en
dc.identifier.citationPLOS ONE 2015, 10(9): e0137206. doi:10.1371/journal.pone.0137206en
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.languageEnglishen
dc.language.isoenen
dc.publisherPLOS
dc.rightsAttribution 2.0 UK: England & Wales*
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/*
dc.subjectEnergy expenditureen
dc.subjectfree-livingen
dc.subjectphysical activityen
dc.subjectmonitoringen
dc.subjectindividual calibrationen
dc.subjectheart rateen
dc.subjectaccelerometryen
dc.subjectmovement sensoren
dc.titleEstimation of free-living energy expenditure by heart rate and movement sensing: A doubly-labelled water studyen
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.0137206en
prism.numbere0137206en
prism.publicationDate2015en
prism.publicationNamePLOS ONEen
prism.volume10en
dc.rioxxterms.funderWellcome Trust
dc.rioxxterms.funderMRC
dc.rioxxterms.projectidMC_UU_12015/3
dcterms.dateAccepted2015-08-14en
rioxxterms.versionofrecord10.1371/journal.pone.0137206en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2015-09-08en
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/Reviewen
pubs.funder-project-idMRC (MC_UU_12015/3)
pubs.funder-project-idMRC (MC_UU_12015/1)
pubs.funder-project-idMedical Research Council (MC_U106179471)


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