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Are wearable heart rate measurements accurate to estimate aerobic energy cost during low-intensity resistance exercise?

dc.contributor.authorReis, Victor M.
dc.contributor.authorVianna, Jeferson M.
dc.contributor.authorBarbosa, Tiago M.
dc.contributor.authorGarrido, Nuno D.
dc.contributor.authorAlves, José Vilaça
dc.contributor.authorCarneiro, André Luiz
dc.contributor.authorAidar, Felipe José
dc.contributor.authorNovaes, Jefferson
dc.date.accessioned2019-09-17T09:13:33Z
dc.date.available2019-09-17T09:13:33Z
dc.date.issued2019
dc.description.abstractThe aim of the present study was to assess the accuracy of heart rate to estimate energy cost during eight resistance exercises performed at low intensities: half squat, 45° inclined leg press, leg extension, horizontal bench press, 45° inclined bench press, lat pull down, triceps extension and biceps curl. 56 males (27.5 ± 4.9 years, 1.78 ± 0.06 m height, 78.67 ± 10.7 kg body mass and 11.4 ± 4.1% estimated body fat) were randomly divided into four groups of 14 subjects each. Two exercises were randomly assigned to each group and subjects performed four bouts of 4-min constant-intensity at each assigned exercise: 12%, 16%, 20% and 24% 1-RM. Exercise and intensity order were random. Each subject performed no more than 2 bouts in the same testing session. A minimum recovery of 24h was kept between sessions. During testing VO2 was measured with Cosmed K4b2 and heart rate was measured with Polar V800 monitor. Energy cost was calculated from mean VO2 during the last 30-s of each bout by using the energy equivalent 1 ml O2 = 5 calorie. Linear regressions with heart rate as predictor and energy cost as dependent variable were build using mean data from all subjects. Robustness of the regression lines was given by the scatter around the regression line (Sy.x) and Bland-Altman plots confirmed the agreement between measured and estimated energy costs. Significance level was set at p≤0.05. The regressions between heart rate and energy cost in the eight exercises were significant (p<0.01) and robustness was: half squat (Sy.x = 0,48 kcal·min-1), 45° inclined leg press (Sy.x = 0,54 kcal·min-1), leg extension (Sy.x = 0,59 kcal·min-1), horizontal bench press (Sy.x = 0,47 kcal·min-1), 45° inclined bench press (Sy.x = 0,54 kcal·min-1), lat pull down (Sy.x = 0,28 kcal·min-1), triceps extension (Sy.x = 0,08 kcal·min-1) and biceps curl (Sy.x = 0,13 kcal·min-1). We conclude that during low-intensity resistance exercises it is possible to estimate aerobic energy cost by wearable heart rate monitors with errors below 10% in healthy young trained males.pt_PT
dc.description.sponsorshipThis research was supported by Norte Portugal Regional Operational Programme (NORTE 2020), through Portugal 2020 and the European Regional Development Fund, NanoSTIMA, NORTE-01-0145- FEDER-000016 to VMR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationReis, V.M.; Vianna, Jeferson M.; Barbosa, Tiago M.; Garrido, N.; Alves, José Vilaça; Carneiro, André Luiz; Aidar, Felipe J.; Novaes, Jefferson (2019). Are wearable heart rate measurements accurate to estimate aerobic energy cost during low-intensity resistance exercise? PLoS ONE. ISSN 1932-6203. 14:8pt_PT
dc.identifier.doi10.1371/journal.pone.0221284pt_PT
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10198/19604
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherDalton Müller Pessôa Filhopt_PT
dc.relation01-0145- FEDER-000016 to VMRpt_PT
dc.relationNORTE-01-0145- FEDER-000016 to VMRpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHeart rate measurementspt_PT
dc.titleAre wearable heart rate measurements accurate to estimate aerobic energy cost during low-intensity resistance exercise?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue8pt_PT
oaire.citation.titlePLoS ONEpt_PT
oaire.citation.volume14pt_PT
person.familyNameBarbosa
person.givenNameTiago M.
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.orcid0000-0001-7071-2116
person.identifier.scopus-author-id10044856400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication941a6f14-cfba-458a-a2e3-0cbd1846cd42
relation.isAuthorOfPublication.latestForDiscovery941a6f14-cfba-458a-a2e3-0cbd1846cd42

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