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Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis

BACKGROUND: The recent development of wearable devices has enabled easy and continuous measurement of heart rate (HR). Exercise intensity can be calculated from HR with indices such as percent HR reserve (%HRR); however, this requires an accurate measurement of resting HR, which can be time-consumin...

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Autores principales: Matsuura, Hirotaka, Mukaino, Masahiko, Otaka, Yohei, Kagaya, Hitoshi, Aoshima, Yasushi, Suzuki, Takuya, Inukai, Ayaka, Hattori, Emi, Ogasawara, Takayuki, Saitoh, Eiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827176/
https://www.ncbi.nlm.nih.gov/pubmed/31700643
http://dx.doi.org/10.1186/s13102-019-0140-x
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author Matsuura, Hirotaka
Mukaino, Masahiko
Otaka, Yohei
Kagaya, Hitoshi
Aoshima, Yasushi
Suzuki, Takuya
Inukai, Ayaka
Hattori, Emi
Ogasawara, Takayuki
Saitoh, Eiichi
author_facet Matsuura, Hirotaka
Mukaino, Masahiko
Otaka, Yohei
Kagaya, Hitoshi
Aoshima, Yasushi
Suzuki, Takuya
Inukai, Ayaka
Hattori, Emi
Ogasawara, Takayuki
Saitoh, Eiichi
author_sort Matsuura, Hirotaka
collection PubMed
description BACKGROUND: The recent development of wearable devices has enabled easy and continuous measurement of heart rate (HR). Exercise intensity can be calculated from HR with indices such as percent HR reserve (%HRR); however, this requires an accurate measurement of resting HR, which can be time-consuming. The use of HR during sleep may be a substitute that considers the calibration-less measurement of %HRR. This study examined the validity of %HRR on resting HR during sleep in comparison to percent oxygen consumption reserve (%VO(2)R) as a gold standard. Additionally, a 24/7%HRR measurement using this method is demonstrated. METHODS: Twelve healthy adults aged 29 ± 5 years underwent treadmill testing using the Bruce protocol and a 6-min walk test (6MWT). The %VO(2)R during each test was calculated according to a standard protocol. The %HRR during each exercise test was calculated either from resting HR in a sitting position (%HRR(sitting)), when lying awake (%HRR(lying)), or during sleep (%HRR(sleeping)). Differences between %VO(2)R and %HRR values were examined using Bland-Altman plots. A 180-day, 24/7%HRR measurement with three healthy adults was also conducted. The %HRR values during working days and holidays were compared. RESULTS: In the treadmill testing, the mean difference between %VO(2)R and %HRR(sleeping) was 1.7% (95% confidence interval [CI], − 0.2 to 3.6%). The %HRR(sitting) and %HRR(lying) values were 10.8% (95% CI, 8.8 to 12.7%) and 7.7% (95% CI, 5.4 to 9.9%), respectively. In the 6MWT, mean differences between %VO(2)R and %HRR(sitting), %HRR(lying) and %HRR(sleeping) were 12.7% (95% CI, 10.0 to 15.5%), 7.0% (95% CI, 4.0 to 10.0%) and − 2.9% (95% CI, − 5.0% to − 0.7%), respectively. The 180-day, 24/7%HRR measurement presented significant differences in %HRR patterns between working days and holidays in all three participants. CONCLUSIONS: The results suggest %HRR(sleeping) is valid in comparison to %VO(2)R. The results may encourage a calibration-less, 24/7 measurement model of exercise intensity using wearable devices. TRIAL REGISTRATION: UMIN000034967. Registered 21 November 2018 (retrospectively registered).
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spelling pubmed-68271762019-11-07 Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis Matsuura, Hirotaka Mukaino, Masahiko Otaka, Yohei Kagaya, Hitoshi Aoshima, Yasushi Suzuki, Takuya Inukai, Ayaka Hattori, Emi Ogasawara, Takayuki Saitoh, Eiichi BMC Sports Sci Med Rehabil Research Article BACKGROUND: The recent development of wearable devices has enabled easy and continuous measurement of heart rate (HR). Exercise intensity can be calculated from HR with indices such as percent HR reserve (%HRR); however, this requires an accurate measurement of resting HR, which can be time-consuming. The use of HR during sleep may be a substitute that considers the calibration-less measurement of %HRR. This study examined the validity of %HRR on resting HR during sleep in comparison to percent oxygen consumption reserve (%VO(2)R) as a gold standard. Additionally, a 24/7%HRR measurement using this method is demonstrated. METHODS: Twelve healthy adults aged 29 ± 5 years underwent treadmill testing using the Bruce protocol and a 6-min walk test (6MWT). The %VO(2)R during each test was calculated according to a standard protocol. The %HRR during each exercise test was calculated either from resting HR in a sitting position (%HRR(sitting)), when lying awake (%HRR(lying)), or during sleep (%HRR(sleeping)). Differences between %VO(2)R and %HRR values were examined using Bland-Altman plots. A 180-day, 24/7%HRR measurement with three healthy adults was also conducted. The %HRR values during working days and holidays were compared. RESULTS: In the treadmill testing, the mean difference between %VO(2)R and %HRR(sleeping) was 1.7% (95% confidence interval [CI], − 0.2 to 3.6%). The %HRR(sitting) and %HRR(lying) values were 10.8% (95% CI, 8.8 to 12.7%) and 7.7% (95% CI, 5.4 to 9.9%), respectively. In the 6MWT, mean differences between %VO(2)R and %HRR(sitting), %HRR(lying) and %HRR(sleeping) were 12.7% (95% CI, 10.0 to 15.5%), 7.0% (95% CI, 4.0 to 10.0%) and − 2.9% (95% CI, − 5.0% to − 0.7%), respectively. The 180-day, 24/7%HRR measurement presented significant differences in %HRR patterns between working days and holidays in all three participants. CONCLUSIONS: The results suggest %HRR(sleeping) is valid in comparison to %VO(2)R. The results may encourage a calibration-less, 24/7 measurement model of exercise intensity using wearable devices. TRIAL REGISTRATION: UMIN000034967. Registered 21 November 2018 (retrospectively registered). BioMed Central 2019-11-04 /pmc/articles/PMC6827176/ /pubmed/31700643 http://dx.doi.org/10.1186/s13102-019-0140-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Matsuura, Hirotaka
Mukaino, Masahiko
Otaka, Yohei
Kagaya, Hitoshi
Aoshima, Yasushi
Suzuki, Takuya
Inukai, Ayaka
Hattori, Emi
Ogasawara, Takayuki
Saitoh, Eiichi
Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
title Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
title_full Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
title_fullStr Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
title_full_unstemmed Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
title_short Validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
title_sort validity of simplified, calibration-less exercise intensity measurement using resting heart rate during sleep: a method-comparison study with respiratory gas analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827176/
https://www.ncbi.nlm.nih.gov/pubmed/31700643
http://dx.doi.org/10.1186/s13102-019-0140-x
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