Study Finds Significant Associations Between Sleep Traits And 172 Diseases

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A groundbreaking world study, precocious published successful Health Data Science, analyzed nonsubjective slumber information from 88,461 adults successful nan UK Biobank and recovered important associations betwixt slumber traits and 172 diseases. The research, led by teams from Peking University and Army Medical University, highlights slumber regularity-such arsenic bedtime consistency and circadian hit stability-as an underrecognized but captious facet successful illness risk.

Using actigraphy information complete an mean of 6.8 years, researchers identified that 92 diseases had complete 20% of their consequence attributable to mediocre slumber behavior. Notably, irregular bedtime (after 00:30) was linked to a 2.57-fold higher consequence of liver cirrhosis, while debased interdaily stableness accrued nan consequence of gangrene by 2.61 times.

Importantly, nan study challenges erstwhile claims that "long sleep" (≥9 hours) is harmful. While subjective reports person linked agelong slumber to changeable and bosom disease, nonsubjective information revealed this relation successful only 1 disease. Misclassification whitethorn beryllium to blame: 21.67% of "long sleepers" really slept little than 6 hours, suggesting that clip spent successful furniture is often confused pinch existent slumber time.

Our findings underscore nan overlooked value of slumber regularity. It's clip we broaden our meaning of bully slumber beyond conscionable duration."

Prof. Shengfeng Wang, elder writer of nan study

The squad confirmed respective associations successful U.S. populations and identified inflammatory pathways arsenic a imaginable biologic link. Future investigation will research causality and measure nan effect of slumber interventions connected chronic illness outcomes.

Source:

Journal reference:

Wang, Y., et al. (2025). Phenome-wide Analysis of Diseases successful Relation to Objectively Measured Sleep Traits and Comparison pinch Subjective Sleep Traits successful 88,461 Adults. Health Data Science. doi.org/10.34133/hds.0161.

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