Summary: A large-scale study analyzing over 7 million nights of sleep data has uncovered significant age-related changes in sleep patterns, with deep and REM sleep declining as people age. The study also found that individuals with sleep apnea experience even more pronounced reductions in deep sleep across all age groups. These findings provide baseline data for understanding how sleep disorders and age affect sleep quality and duration.
Key Takeaways:
- Sleep Duration Follows a U-Shaped Pattern: The study reveals that middle-aged adults sleep less than both younger and older adults, highlighting a U-shaped distribution in sleep duration across age groups.
- Age Reduces Deep and REM Sleep: Both deep and REM sleep percentages decline with age, with older adults experiencing less of these vital sleep stages compared to younger adults.
- Sleep Apnea Further Reduces Deep Sleep: Across all age groups, individuals with sleep apnea experience significantly lower levels of deep sleep, emphasizing the impact of sleep disorders on sleep quality.
Fullpower-AI, in collaboration with Stanford University and UCSF, announced results from a study analyzing over 7 million nights of sleep data leveraged from the Sleeptracker-AI platform, revealing insights into sleep patterns across age groups.
Key findings are:
- Sleep architecture by gender and presence or absence of sleep apnea:
- Sleep duration: The study reveals a U-shaped distribution of sleep duration across age groups, with middle-aged adults sleeping less than both younger and
- Deep sleep and REM sleep: Deep and REM sleep percentages decline with age. Notably, individuals with sleep apnea experience significantly reduced deep sleep across all age groups.
- Age-specific insights:
- 20-25-year-olds: Average sleep time is 431 minutes, with 15.9% deep sleep and 26% REM sleep.
- 0-55-year-olds: Average sleep time is 413 minutes, with 14.3% deep sleep and 25.7% REM sleep.
- 80-85-year-olds: Average sleep time is 420 minutes, with 13.1% deep sleep and 22.9% REM sleep.
“This study provides crucial baseline data for understanding sleep patterns across the lifespan and the impact of sleep disorders,” says Philippe Kahn, founder and CEO of Fullpower-AI, in a release. “It underscores the importance of the seven-hour sleep recommendation and highlights how conditions like sleep apnea can significantly impact sleep quality.”
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