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Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study.

Authors :
Nikbakhtian S
Reed AB
Obika BD
Morelli D
Cunningham AC
Aral M
Plans D
Source :
European heart journal. Digital health [Eur Heart J Digit Health] 2021 Nov 09; Vol. 2 (4), pp. 658-666. Date of Electronic Publication: 2021 Nov 09 (Print Publication: 2021).
Publication Year :
2021

Abstract

Aims: Growing evidence suggests that poor sleep health is associated with cardiovascular risk. However, research in this area often relies upon recollection dependent questionnaires or diaries. Accelerometers provide an alternative tool for measuring sleep parameters objectively. This study examines the association between wrist-worn accelerometer-derived sleep onset timing and cardiovascular disease (CVD).<br />Methods and Results: We derived sleep onset and waking up time from accelerometer data collected from 103 712 UK Biobank participants over a period of 7 days. From this, we examined the association between sleep onset timing and CVD incidence using a series of Cox proportional hazards models. A total of 3172 cases of CVD were reported during a mean follow-up period of 5.7 (±0.49) years. An age- and sex-controlled base analysis found that sleep onset time of 10:00 p.m.-10:59 p.m. was associated with the lowest CVD incidence. An additional model, controlling for sleep duration, sleep irregularity, and established CVD risk factors, did not attenuate this association, producing hazard ratios of 1.24 (95% confidence interval, 1.10-1.39; P  < 0.005), 1.12 (1.01-1.25; P   =  0.04), and 1.25 (1.02-1.52; P   =  0.03) for sleep onset <10:00 p.m., 11:00 p.m.-11:59 p.m., and ≥12:00 a.m., respectively, compared to 10:00 p.m.-10:59 p.m. Importantly, sensitivity analyses revealed this association with increased CVD risk was stronger in females, with only sleep onset <10:00 p.m. significant for males.<br />Conclusions: Our findings suggest the possibility of a relationship between sleep onset timing and risk of developing CVD, particularly for women. We also demonstrate the potential utility of collecting information about sleep parameters via accelerometry-capable wearable devices, which may serve as novel cardiovascular risk indicators.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Details

Language :
English
ISSN :
2634-3916
Volume :
2
Issue :
4
Database :
MEDLINE
Journal :
European heart journal. Digital health
Publication Type :
Academic Journal
Accession number :
36713092
Full Text :
https://doi.org/10.1093/ehjdh/ztab088