"The researchers assessed the quality of their sleep across five dimensions in 27,500 middle-aged and elderly people (average age 54.7 years) enrolled in the UK Biobank (a research institute conducting long-term follow-up studies of the effects of genetic predisposition and lifestyle on disease). Approximately nine years later, they scanned the participants' brains with MRI and used machine learning models to estimate their biological brain age."
"The researchers quantified sleep quality based on chronotype (morningness or eveningness), duration of sleep, presence or absence of insomnia, presence or absence of snoring, and daytime sleepiness. Using these data, they categorized participants into three sleep patterns, finding that 41.2 percent had healthy sleep, 3.3 percent had clearly poor sleep, and 55.6 percent fell into the middle group. The analysis showed that for every point decrease in the healthy sleep score, the difference between brain age and chronological age increased by approximately six months."
Sleep quality was assessed across five dimensions—chronotype, sleep duration, insomnia, snoring, and daytime sleepiness—in 27,500 middle-aged and elderly people (average age 54.7 years) from the UK Biobank. Approximately nine years later, participants underwent MRI brain scans and biological brain age was estimated using machine-learning models. Sleep patterns were categorized into healthy (41.2%), poor (3.3%), and intermediate (55.6%) groups. Each one-point decrease in a healthy sleep score was associated with an approximately six-month increase in the brain-age–chronological-age gap. The poorest sleepers had brains about one year older than their chronological age. Night-owl chronotype, unhealthy sleep duration beyond 7–8 hours, and snoring correlated with accelerated brain aging, and inflammation was implicated as a possible mechanism.
Read at WIRED
Unable to calculate read time
Collection
[
|
...
]