Insomnia severity modifies diary-based sleep-continuity and sleep-initiation associations with next-day daytime HRV in a real-world wearable dataset - Report - MDSpire

Insomnia severity modifies diary-based sleep-continuity and sleep-initiation associations with next-day daytime HRV in a real-world wearable dataset

  • By

  • Xiangming Meng

  • Mingjing Cai

  • July 14, 2026

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The Impact of Insomnia Severity on Sleep Patterns and Heart Rate Variability

Overview

This study investigates the relationship between insomnia severity, diary-reported sleep patterns, and next-day heart rate variability (HRV) using a real-world dataset.

Background

Insomnia affects a significant portion of the population and is linked to various health outcomes. This study utilizes a publicly available dataset to explore the relationship between sleep patterns and HRV.

Data Highlights

This study analyzed a publicly available dataset that paired daily sleep diaries with wearable-derived HRV summaries collected over four weeks in South Korea.

Key Findings

  • Insomnia severity was operationalized using baseline Insomnia Severity Index (ISI) scores.
  • Diary-derived indices of sleep maintenance and consolidation were used to assess sleep continuity.
  • Day-to-day coupling between sleep metrics and daytime RMSSD was examined.
  • The study adhered to the STROBE statement for observational studies.

Clinical Implications

Understanding the relationship between insomnia severity and sleep-HRV relationships could inform future research.

Conclusion

This study examines the relationship between sleep patterns and heart rate variability.

Related Resources & Content

  1. DIGITAL HEALTH, 2026 -- Heart rate circadian phase and hyperarousal as wearable digital phenotyping of insomnia: An interpretable machine learning study
  2. Journal of Medical Internet Research (JMIR), 2026 -- Sleep and Activity Patterns in Depression From Wearable Data: Unsupervised Clustering Study
  3. Frontiers in Digital Health, 2026 -- Exploring the feasibility of modeling next-day fatigue and sleepiness using digital sleep tracker data in neurodegenerative and immune-mediated inflammatory diseases
  4. npj Digital Medicine, 2025 -- Diurnal variation of wearable device-based heart rate variability in the Chronic Renal Insufficiency Cohort study
  5. Combination treatment for chronic insomnia disorder in adults: an American Academy of Sleep Medicine clinical practice guideline - PMC, 2026
  6. Digital App Based Cognitive Behaviour Therapy CBT‐I Course Improving Insomnia and Sleep Hygiene: A Randomised Controlled Trial - Kater, 2026 - Journal of Sleep Research
  7. A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries | Scientific Data, 2025
  8. Combination treatment for chronic insomnia disorder in adults: an American Academy of Sleep Medicine clinical practice guideline - PMC
  9. Digital App Based Cognitive Behaviour Therapy CBT‐I Course Improving Insomnia and Sleep Hygiene: A Randomised Controlled Trial - Kater - 2026 - Journal of Sleep Research - Wiley Online Library
  10. A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries | Scientific Data

Original Source(s)

Insomnia severity modifies diary-based sleep-continuity and sleep-initiation associations with next-day daytime HRV in a real-world wearable dataset

  • by Xiangming Meng, Mingjing Cai

  • July 14, 2026

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