Epidemiological Evidence Explorer

Optimal Sleep Duration & U-Curve Epidemiological Explorer

Investigating non-linear health risks across 3.0h to 12.0h sleep and the long-sleep reverse causality paradox (inspired by The Economist editorial analysis).

Cohort:
Presets:
All-Cause Mortality
CVD Incidence
Cognitive Decline
Metabolic Disruption
🟢 Optimal Window (7.0 - 7.5h)
7.2 hours / night
All-Cause Mortality
1.00x
95% CI: 0.97 – 1.03
Cardiovascular Disease
1.00x
95% CI: 0.96 – 1.04
Cognitive Decline
1.00x
95% CI: 0.95 – 1.05
Metabolic Disruption
1.00x
95% CI: 0.96 – 1.04
Methodological Controls
Confounder Adjustment Pre-existing chronic disease & depression
Socioeconomic & Shift-work Deprivation index & circadian disruption
Etiology & Biological Mechanisms
At optimal sleep (7.0–7.5h), autonomic nervous system recovery and glymphatic clearance are maximized, maintaining standard baseline relative risk (RR = 1.0).
The Long Sleep Paradox
Why does >9h sleep show high risk in unadjusted cohorts? Epidemiologists recognize reverse causality: subclinical chronic illness, sleep fragmentation, and occult neurodegeneration lengthen time in bed rather than extra sleep actively causing disease.
Reference Metadata:

Curves parameterized from combined prospective cohort studies (Itani et al., Cappuccio et al., UK Biobank continuous spline models).

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