ArticleAnnals of medicine2023
Comparison and agreement between device-estimated and self-reported sleep periods in adults.
Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Sleep Characteristics and Menstrual Cycle Phase-Based Differences in Sleep in Naturally Menstruating Elite Female Team Sport Athletes.European journal of sport science · 2026Article
- Cardiovascular disease, 24-h movement behaviors and all-cause mortality: a compositional mediation analysis based on a prospective cohort.Journal of exercise science and fitness · 2026Article
- Sleep timing irregularity in midlife: association with incident major adverse cardiac events and cardiovascular disease mortality over a 10-year follow-up.BMC cardiovascular disorders · 2026Article
- Response to Commentary on "Sleep Phenotypes, Genetic Susceptibility, and Risk of Obesity in Patients With Type 2 Diabetes: A National Prospective Cohort Study".Journal of diabetes · 2025Article
- Agreement between parental reports and accelerometer measures of sleep duration in primary school children.Scientific reports · 2025Article
- Independent and joint associations of sleep quality and physical activity with glycaemic control in patients with type 2 diabetes mellitus.Frontiers in nutrition · 2025Article
- Validating CircaCP: a generic sleep-wake cycle detection algorithm for unlabelled actigraphy data.Royal Society open science · 2024Article
- Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time.Journal of activity, sedentary and sleep behaviors · 2024Article
- The impact of sleep disturbances on treatment efficacy and prognosis in patients with depressive and anxiety disorders.Frontiers in psychiatry · 2024Article
- Review
- Ecologically Assessed Sleep Duration and Arterial Stiffness in Healthy Men and Women.Psychosomatic medicineArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDiscriminating sleep period from accelerometer data remains a challenge despite many studies have adapted 24-h measurement protocols. We aimed to compare and examine the agreement among device-estimated and self-reported bedtime, wake-up time, and sleep periods in a sample of adults. MATERIALS AND
methodsParticipants (108 adults, 61 females) with an average age of 33.1 (SD 0.4) were asked to wear two wearable devices (Polar Active and Ōura ring) simultaneously and record their bedtime and wake up time using a sleep diary. Sleep periods from Polar Active were detected using an in-lab algorithm, which is openly available. Sleep periods from Ōura ring were generated by commercial Ōura system. Scatter plots, Bland-Altman plots, and intraclass correlation coefficients (ICCs) were used to evaluate the agreement between the methods.
resultsIntraclass correlation coefficient values were above 0.81 for bedtimes and wake-up times between the three methods. In the estimation of sleep period, ICCs ranged from 0.67 (Polar Active vs. sleep diary) to 0.76 (Polar Active vs. Ōura ring). Average difference between Polar Active and Ōura ring was -1.8 min for bedtimes and -2.6 min for wake-up times. Corresponding values between Polar Active and sleep diary were -5.4 and -18.9 min, and between Ōura ring and sleep diary -3.6 min and -16.2 min, respectively.
conclusionResults showed a high agreement between Polar Active activity monitor and Ōura ring for sleep period estimation. There was a moderate agreement between self-report and the two devices in estimating bedtime and wake-up time. These findings suggest that potentially wearable devices can be interchangeably used to detect sleep period, but their accuracy remains limited.Key MessagesEstimation of sleep period from different devices could be comparable.Difference between sleep periods from monitors and sleep diary are under 20 min.Device-based estimation of sleep period is encouraged in population-based studies.
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