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

  • University of Groningen, University Medical Center Groningen, Department of Health Science, Health Psychology Section
  • Netherlands Organization for Applied Scientific Research (TNO), Department of Human Behaviour & Training
  • University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine
  • Department of Psychology, Health and Technology, University of Twente, Enschede

Research output: Contribution to journal › Article › Academic › peer-review

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 R 2  = .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.

Original languageEnglish
Pages (from-to)247-257
Number of pages11
JournalApplied Psychophysiology Biofeedback
Volume48
Issue number2
DOIs
Publication statusPublished - 9 Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 03 - Good Health and Well-being
    SDG 03 Good Health and Well-being
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • stress recovery balance

Research Focus Areas Hanze University of Applied Sciences * (mandatory by Hanze)

  • Entrepreneurship
  • Energy
  • Healthy Ageing

Research Focus Areas Research Centre or Centre of Expertise * (mandatory by Hanze)

  • Frailty and adequate care

Publinova themes

  • Language, Culture and Arts
  • Economics and Management
  • Law
  • ICT and Media
  • Health
  • People and Society
  • Technology
  • Other

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