Clinical utility of self-reported sleep duration and insomnia symptoms in type 2 diabetes prediction
Authors' conclusion
While sleep duration and insomnia symptoms were associated with type 2 diabetes risk, they are not useful for improving type 2 diabetes prediction beyond QDiabetes model performance. Inclusion of a type 2 diabetes PGS marginally improved prediction but lacked clear clinical utility.
Study context
- Population
- UK Biobank participants; replication in Nurses' Health Study, Nurses' Health Study II and Health Professionals Follow-up Study
- Exposure
- QDiabetes with vs without self-reported sleep traits
- Outcome
- Incident T2D prediction (Harrell's C statistic and NRI)
Methodological detailsprediction model evaluation, independent replication cohorts
- Prediction model evaluation
- Independent replication cohorts
Main finding
As reported in the abstract
Total net reclassification improvement (NRI)
0.08
95% CI −0.18 to 0.33
QDiabetes + sleep duration
Total NRI
0.04
95% CI −0.08 to 0.16
QDiabetes + insomnia
Total NRI
0.04
95% CI −0.10 to 0.18
QDiabetes + sleep traits
QDiabetes alone
0.8933
QDiabetes + sleep duration
0.8939
QDiabetes + insomnia
0.8931
QDiabetes + sleep traits
0.8935
Observational data: associations, not effects.
Further findings
| Outcome | QDiabetes + PGS | QDiabetes + PGS + sleep traits |
|---|---|---|
| Adding T2D PGS to QDiabetes | ||
| C statistic | 0.8945 | 0.8946 |
| Total NRI | 0.20 [95% CI 0.12, 0.28] | 0.18 [95% CI 0.09, 0.27] |
Association of sleep traits with incident T2D
- Extremes of sleep duration and occasional or frequent insomnia symptoms associated with higher risk of incident T2D
Adding T2D PGS to QDiabetes
- PGS marginally improved T2D risk prediction with or without sleep traits
Original publication
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