ArticleApplied psychophysiology and biofeedback2023
Does Wearable-Measured Heart Rate Variability During Sleep Predict Perceived Morning Mental and Physical Fitness?
Article in Applied psychophysiology and biofeedback, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Machine Learning Frameworks for Wearable-Based Stress Modeling in Naturalistic Settings: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Disconnection Between Self-Reported Wellbeing and Heart Rate Variability from Wearables.Sensors (Basel, Switzerland) · 2026Article
- Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications.Sensors (Basel, Switzerland) · 2025Article
- Pulse rate variability is not the same as heart rate variability: findings from a large, diverse clinical population study.Frontiers in physiology · 2025Article
- Real-time monitoring of military health and readiness: a perspective on future research.Frontiers in digital health · 2025Article
- Vortioxetine's impact on the autonomic nervous system in depressed children and adolescents: analysis of the heart rate variability.Scientific reports · 2024Article
- Measuring intra-individual physical activity variability using consumer-grade activity devices.Frontiers in digital health · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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
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Registered trials
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