Large study used wrist-worn accelerometer data to map associations between real-world sleep patterns and the incidence of more than 1000 health conditions
Greater amounts of REM and deep sleep were associated with lower risks of dozens of diseases, and less than 5 hours of total sleep was associated with high risks of disease, according to a new study published September 17th in the open access journal PLOS Medicine by Shengzhi Sun of Capital Medical University, China, and colleagues.
There remains limited understanding of how sleep stages and other real-world sleep patterns relate to health outcomes. In part, that is because self-reported sleep measures often show poor correlation with objective assessments, making it difficult to capture real-world sleep patterns.
In the new study, researchers analysed data from 95 559 UK Biobank participants who wore wrist accelerometers for seven consecutive days and nights. The researchers used a deep-learning algorithm to calculate sleep stages (REM, deep, and light sleep), total sleep duration, wakefulness after sleep onset, and night-to-night sleep irregularity. Participants were followed for a median of 8.9 years, and health records were available to test for associations with more than 1000 disease outcomes.
Greater REM sleep (per interquartile range, 47.6 minutes) was associated with a lower risk of 83 diseases, including heart failure (hazard ratio 0.74), dementia (hazard ratio 0.54), and Parkinson’s disease (hazard ratio 0.20), while greater deep sleep was linked to lower risk of 7 conditions, including type 2 diabetes and major depressive disorder. Greater sleep irregularity and wakefulness after sleep onset were each linked to higher risk of several conditions, including anxiety and substance use disorders. Total sleep duration showed a non-linear relationship with disease risk for many conditions, with the lowest risk concentrated in a 6-to-8-hour window; people sleeping less than 5 hours faced the most elevated clinical vulnerability, with an increased risk of 37 conditions. However, as an observational study, this research cannot establish that sleep patterns directly cause disease risk.
“The findings provide additional evidence supporting the role of a 6-8 hours’ sleep duration as a health safeguard for middle-aged and older adults, likely attributable to more favourable distributions of sleep stages,” the authors say. “Maintaining a sleep duration of 6-8 hours can effectively reduce the risk of multiple diseases, providing new insights for health promotion and preventive practice.”
The authors add, “Phenome-wide association analysis identified 156 significant associations between sleep patterns and incident diseases after Bonferroni correction.”
“Sleep duration exhibited significant non-linear associations with 86 disease phenotypes, with the minimum-risk duration for the majority of these conditions (69 phenotypes) precisely concentrated within a 6-8 hour window.”
Provided by PLOS
