Summary: At SLEEP 2024, Fullpower Technologies, in collaboration with Stanford Sleep Medicine and UCSF, presented studies on sleep fragmentation and heart rate variability using the Sleeptracker-AI Monitor. The studies, leveraging data from over 117,000 participants and millions of recorded nights, provided new insights into how sleep fragmentation and heart rate variability vary across different demographics and the impact of obstructive sleep apnea.
Key Takeaways:
- Gender and Age Differences in Sleep Fragmentation: The study found that men experience higher sleep fragmentation during REM sleep than women across all ages above 24, with fragmentation decreasing after age 34. Sleep fragmentation increased with age during NREM sleep for both genders but showed a complex pattern during REM sleep, increasing up to ages 25-34 before decreasing.
- Impact of Obstructive Sleep Apnea on HRV: Individuals with moderate to severe OSA exhibited higher overall heart rate variability (SDNN) and lower parasympathetic activity (RMSSD) compared to those without OSA. These differences were especially pronounced in middle-aged adults.
- Age and Gender Variations in HRV: Both HRV metrics (SDNN and RMSSD) decreased with age, with SDNN consistently lower in females. RMSSD reductions were more significant in individuals with severe OSA, particularly among younger and middle-aged adults.
At the SLEEP 2024 conference, Fullpower Technologies, in partnership with Stanford Sleep Medicine and the University of California, San Francisco (UCSF), presented studies revealing new insights into sleep fragmentation and heart rate variability using the Sleeptracker-AI Monitor.
“We are proud of our continued collaboration in advancing Sleep Science research with Stanford Sleep Medicine and UCSF. Together, we are sharing these new findings with the sleep research community leveraging the Sleeptracker.ai platform and network of sleepers,” says Philippe Kahn, CEO of Fullpower.ai in a release.
Study on Sleep Fragmentation
The first study, led by Clete Kushida, MD, PhD, from Stanford University, investigated sleep fragmentation across different age groups and genders using Sleeptracker-AI data from over 117,000 participants and over 10 million recorded nights. The Sleeptracker-AI Monitor’s noninvasive, under-mattress sensors provided data on arousals and sleep-disordered breathing.
Key findings include:
- Greater Sleep Fragmentation in Men: Men exhibited significantly higher sleep fragmentation during REM sleep compared to women across all ages above 24. However, fragmentation decreased with age after 34.
- Age-related Differences: Sleep fragmentation increased with age during NREM sleep for both genders but showed a complex pattern during REM sleep, initially increasing up to 25-34 years and then decreasing with age.
Study on Heart Rate Variability During Sleep
The second study, led by Yue Leng, PhD, from UCSF, examined heart rate variability in over 38,000 individuals, focusing on the impact of obstructive sleep apnea (OSA). Using the Sleeptracker-AI Monitor, the study collected heart rate variability data from 2.7 million recorded nights.
Key findings include:
- Heart Rate Variability and OSA Severity: Individuals with moderate to severe OSA had significantly higher overall heart rate variability (SDNN) and lower parasympathetic activity (RMSSD) than those without OSA. These differences were more pronounced in middle-aged adults.
- Age and Gender Differences: Both heart rate variability metrics decreased with age. SDNN was consistently lower in females, while RMSSD showed greater reductions in individuals with severe OSA, particularly among younger and middle-aged adults.
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