View in EDS HTML Full Text PDF Full Text

Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?

Saved in:
Bibliographic Details
Title: Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?
Authors: de Vries, Herman (AUTHOR), Oldenhuis, Hilbrand (AUTHOR), van der Schans, Cees (AUTHOR), Sanderman, Robbert (AUTHOR), Kamphuis, Wim (AUTHOR)
Source: Applied Psychophysiology & Biofeedback. Jun2023, Vol. 48 Issue 2, p247-257. 11p.
Subjects: Garmin Ltd., Heart beat, Physical fitness, Sleep, Mobile apps, Ecological momentary assessments (Clinical psychology), Morning
Abstract: The emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) during sleep predict the perceived mental and physical fitness of military personnel on the subsequent morning. Participants wore a Garmin wrist-worn wearable and filled in a short morning questionnaire on their perceived mental and physical fitness during a period of up to 46 days. A custom-built smartphone app was used to directly retrieve heart rate and accelerometer data from the wearable, on which open-source algorithms for sleep detection and artefact filtering were applied. A sample of 571 complete observations in 63 participants were analyzed using linear mixed models. Resting HRV during sleep was a small predictor of perceived physical fitness (marginal R2 =.031), but not of mental fitness. The items on perceived mental and physical fitness were strongly correlated (r =.77). Based on the current findings, resting HRV during sleep appears to be more related to the physical component of perceived fitness than its mental component. Recommendations for future studies include improvements in the measurement of sleep and resting HRV, as well as further investigation of the potential impact of resting HRV as a buffer on stress-related outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Applied Psychophysiology & Biofeedback is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 163798790
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22de+Vries%2C+Herman%22">de Vries, Herman</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oldenhuis%2C+Hilbrand%22">Oldenhuis, Hilbrand</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+der+Schans%2C+Cees%22">van der Schans, Cees</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sanderman%2C+Robbert%22">Sanderman, Robbert</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kamphuis%2C+Wim%22">Kamphuis, Wim</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Psychophysiology+%26+Biofeedback%22">Applied Psychophysiology & Biofeedback</searchLink>. Jun2023, Vol. 48 Issue 2, p247-257. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Garmin+Ltd%2E%22">Garmin Ltd.</searchLink><br /><searchLink fieldCode="DE" term="%22Heart+beat%22">Heart beat</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness%22">Physical fitness</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep%22">Sleep</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+momentary+assessments+%28Clinical+psychology%29%22">Ecological momentary assessments (Clinical psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Morning%22">Morning</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) during sleep predict the perceived mental and physical fitness of military personnel on the subsequent morning. Participants wore a Garmin wrist-worn wearable and filled in a short morning questionnaire on their perceived mental and physical fitness during a period of up to 46 days. A custom-built smartphone app was used to directly retrieve heart rate and accelerometer data from the wearable, on which open-source algorithms for sleep detection and artefact filtering were applied. A sample of 571 complete observations in 63 participants were analyzed using linear mixed models. Resting HRV during sleep was a small predictor of perceived physical fitness (marginal R2 =.031), but not of mental fitness. The items on perceived mental and physical fitness were strongly correlated (r =.77). Based on the current findings, resting HRV during sleep appears to be more related to the physical component of perceived fitness than its mental component. Recommendations for future studies include improvements in the measurement of sleep and resting HRV, as well as further investigation of the potential impact of resting HRV as a buffer on stress-related outcomes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Psychophysiology & Biofeedback is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=163798790
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10484-022-09578-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 247
    Subjects:
      – SubjectFull: Garmin Ltd.
        Type: general
      – SubjectFull: Heart beat
        Type: general
      – SubjectFull: Physical fitness
        Type: general
      – SubjectFull: Sleep
        Type: general
      – SubjectFull: Mobile apps
        Type: general
      – SubjectFull: Ecological momentary assessments (Clinical psychology)
        Type: general
      – SubjectFull: Morning
        Type: general
    Titles:
      – TitleFull: Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: de Vries, Herman
      – PersonEntity:
          Name:
            NameFull: Oldenhuis, Hilbrand
      – PersonEntity:
          Name:
            NameFull: van der Schans, Cees
      – PersonEntity:
          Name:
            NameFull: Sanderman, Robbert
      – PersonEntity:
          Name:
            NameFull: Kamphuis, Wim
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 10900586
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Applied Psychophysiology & Biofeedback
              Type: main
ResultId 1