The effect of sleep on blood biomarkers
9 hours ago
- #wearable data
- #sleep and health
- #biomarkers analysis
- Researchers analyzed 7,033 paired observations from wearables and blood tests, finding 79 statistically significant biomarker-sleep pairings (vs. 22 expected by chance), indicating real signals.
- The strongest correlations linked better sleep quality with improved immune balance (higher lymphocytes and lower neutrophils), and longer sleep duration with lower blood sugar markers like A1c.
- Deep sleep percentage positively correlated with kidney function (eGFR) and negatively with liver stress (AST) and inflammation markers (ferritin), though associations were smaller.
- Sleep quality (a composite measure) showed the most significant correlations (24), suggesting it captures sleep's impact better than individual metrics like duration or specific sleep stages.
- The analysis is observational and unadjusted for confounders, so it highlights biomarkers to monitor when improving sleep but doesn't establish causation.