Wearable-derived objective sleep duration demonstrates an asymmetric U-shaped association with both hypertension prevalence and blood pressure parameters, with blood pressure nadirs occurring at 7.6-7.7 h for Sleep Period Time and 7.0-7.2 h for Total Sleep Time.
Key Findings
Results
Short Sleep Period Time (SPT) under 6 hours was associated with a 2.05-fold higher prevalence of hypertension after adjusting for confounding factors.
95% CI: 1.18-3.54 for SPT < 6 h compared to reference group
Analysis was based on 1,459 valid sleep records from 759 community-dwelling participants
Sleep was objectively quantified from single-lead electrocardiograms (wearable devices)
Multimodal regression approaches including covariate-adjusted binary logistic regression were used
Results
Long Total Sleep Time (TST) of 8 hours or more was associated with a 1.82-fold increased odds of hypertension after adjusting for confounding factors.
95% CI: 1.03-3.22 for TST ≥ 8 h
This finding reflects the long-sleep side of the asymmetric U-shaped association
TST and SPT are distinct metrics: TST excludes wakefulness within the sleep period, while SPT includes it
Both metrics were derived from wearable single-lead ECG recordings
Results
Blood pressure nadirs (optimal sleep durations for lowest blood pressure) occurred at 7.6-7.7 hours for SPT and 7.0-7.2 hours for TST.
The nadir was observed for both systolic blood pressure (SBP) and diastolic blood pressure (DBP) at 7.6-7.7 h for SPT
For TST, the optimal duration of 7.0-7.2 h was identified across different models
Restricted cubic splines and segmented linear regression were used to identify these inflection points
The asymmetric shape of the U-curve indicates the two sides of the nadir have different slopes
Results
Below the optimal SPT threshold, each 1-hour increase in SPT was associated with significant reductions in both systolic and diastolic blood pressure.
Each 1-hour increase below the SPT nadir was associated with a 2.94 mmHg reduction in SBP (95% CI: -4.82 to -1.06)
Each 1-hour increase below the SPT nadir was associated with a 1.21 mmHg reduction in DBP (95% CI: -2.05 to -0.36)
These associations were statistically significant in fully adjusted models
This dose-response pattern indicates a meaningful short-sleep penalty on blood pressure
Results
Above the optimal SPT threshold, each 1-hour increase in SPT was associated with a 2.27 mmHg increase in SBP in partially adjusted models, but this effect was no longer significant in fully adjusted analysis.
95% CI for partial adjustment: 0.15 to 4.39 mmHg per hour above optimal SPT
The association was attenuated to non-significance after full covariate adjustment
This suggests that confounding factors explain part of the long-sleep and elevated blood pressure relationship
The asymmetric U-shape is reinforced by the finding that short-sleep effects on SBP were stronger and more robust than long-sleep effects
Results
For TST, dose-response patterns with blood pressure were significant only for DBP and only in partially adjusted models.
TST-related blood pressure associations were less robust than SPT-related associations
Significance for TST and DBP was lost in fully adjusted models
No significant association was found between TST and SBP in any model
This suggests TST may be a less sensitive indicator of sleep-blood pressure relationships than SPT
Methods
The study used a cross-sectional design with objectively measured sleep from wearable single-lead ECG devices in community-dwelling adults.
Total of 1,459 valid sleep records were analyzed from 759 participants
Both SPT and TST were derived from single-lead electrocardiogram wearable devices, not self-report
Nocturnal sleep duration was the primary exposure variable
Analytical methods included binary logistic regression, restricted cubic splines, and segmented linear regression
What This Means
This research suggests that the relationship between how long you sleep and your blood pressure is not a simple straight line — it forms a U-shape, meaning both too little and too much sleep are linked to higher rates of high blood pressure (hypertension). The study tracked nearly 760 adults using wearable devices that objectively measured their sleep using heart rhythm sensors, avoiding the inaccuracies of self-reported sleep. The 'sweet spot' for the lowest blood pressure was around 7.6–7.7 hours of time spent in bed asleep (Sleep Period Time) or about 7.0–7.2 hours of actual sleep time (Total Sleep Time).
The findings show the U-shape is asymmetric — meaning the short-sleep side of the curve is steeper and more clearly harmful than the long-sleep side. People sleeping less than 6 hours had about twice the odds of having hypertension compared to those sleeping in the optimal range. Those sleeping 8 or more hours of actual sleep time also had elevated odds of hypertension, though this long-sleep association was weaker and more sensitive to other health factors. For every additional hour of sleep below the optimal threshold, systolic blood pressure dropped by nearly 3 mmHg, a clinically meaningful difference.
This research suggests that aiming for roughly 7–8 hours of sleep per night may support healthier blood pressure levels in the general adult population. The use of wearable technology to objectively measure sleep — rather than relying on participants to remember or estimate their sleep — adds strength to these findings. However, because this was a cross-sectional study (a snapshot in time), it cannot prove that sleep duration directly causes changes in blood pressure, only that the two are associated.
Song H, Huang Y, Fang X, Lin F, Luo B, Wu M, et al.. (2026). Asymmetric U-shaped association between hypertension and wearable-derived sleep duration.. Frontiers in public health. https://doi.org/10.3389/fpubh.2025.1724251