Country differences in nocturnal sleep variability: Observations from a large-scale, long-term sleep wearable study

Sleep Medicine, Journal Year: 2023, Volume and Issue: 110, P. 155 - 165

Published: Aug. 10, 2023

Country or regional differences in sleep duration are well-known, but few large-scale studies have specifically evaluated variability, either across the work week, terms of weekday and weekend sleep. Sleep measures obtained over 50 million night's sleep, from ∼220,000 wearable device users 35 countries were analysed. Each person contributed an average ∼242 nights data. Multiple regression was used to assess impact country residence had on a duration, timing, efficiency, extension social jetlag. Nocturnal shorter later onset Asia than other regions. Despite this, efficiency lower higher. Weekend longer Europe USA Asia, only partially related duration. There also cross-country jetlag although less distinct for extension. In addition variability suggest that using latter as indicator debt may need be reconsidered. exhibiting both short high culturally different means coping with inadequate is likely. region culture, particularly those work, merit closer examination factors influencing normative patterns around world.

Language: Английский

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State of the science and recommendations for using wearable technology in sleep and circadian research

SLEEP, Journal Year: 2023, Volume and Issue: 47(4)

Published: Dec. 24, 2023

Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive a variety disease states. Patients increasingly present data derived from their wearable devices to providers ever-increasing availability commercial new-generation research/clinical tools has led wide adoption wearables research, which become even more relevant given discontinuation Philips Respironics Actiwatch. Standards evaluating performance have been introduced available evidence suggests that consumer-grade exceed traditional actigraphy assessing as defined by polysomnogram. However, clear limitations exist, example, misclassification wakefulness during period, problems with tracking outside main bout or nighttime artifacts, unclear translation individuals certain characteristics comorbidities. This particular relevance when person-specific factors (like skin color obesity) negatively impact sensor potential downstream augmenting already existing healthcare disparities. holds great promise our field, features distinct such measurement autonomic parameters, estimation features, integrate self-reported, objective, passively recorded health indicators. Scientists face numerous decision points barriers incorporating actigraphy, multi-sensor devices, contemporary research/clinical-grade trackers into research. Considerations include device capabilities performance, target population goals study, outputs raw aggregate data, extraction, processing, analysis. Given difficulties implementation utilization real-world research clinical settings, following State Science review requested Sleep Research Society aims address questions. What can provide? How accurate are these data? should be taken account research? These outstanding questions surrounding considerations motivated this work, outlining practical recommendations using

Language: Английский

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Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(9), P. 2648 - 2656

Published: July 19, 2024

Abstract Poor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional self-reported survey data or polysomnograms, which limitations respect to granularity, sample size longitudinal information. Here, using objectively measured, from commercial wearable devices linked electronic record the All Us Research Program, we show that patterns, including stages, duration regularity, are disease incidence. Of 6,785 participants included in this study, 71% were female, 84% self-identified as white had a college degree; median age was 50.2 years (interquartile range = 35.7, 61.5) monitoring period 4.5 (2.5, 6.5). We found rapid eye movement deep inversely odds incident atrial fibrillation irregularity obesity, hyperlipidemia, hypertension, major depressive disorder generalized anxiety disorder. Moreover, J-shaped associations observed between average daily These findings regularity all important factors development may inform evidence-based recommendations healthy sleeping habits.

Language: Английский

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Evaluating Accuracy in Five Commercial Sleep-Tracking Devices Compared to Research-Grade Actigraphy and Polysomnography

Sensors, Journal Year: 2024, Volume and Issue: 24(2), P. 635 - 635

Published: Jan. 19, 2024

The development of consumer sleep-tracking technologies has outpaced the scientific evaluation their accuracy. In this study, five devices, research-grade actigraphy, and polysomnography were used simultaneously to monitor overnight sleep fifty-three young adults in lab for one night. Biases limits agreement assessed determine how stage estimates each device actigraphy differed from polysomnography-derived measures. Every device, except Garmin Vivosmart, was able estimate total time comparably actigraphy. All devices overestimated nights with shorter wake times underestimated longer times. For light sleep, absolute bias low Fitbit Inspire Versa. Withings Mat Vivosmart sleep. Oura Ring any duration. deep while other REM all devices. Taken together, these results suggest that proportional patterns are prevalent could have important implications overall

Language: Английский

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Evaluation and update of the expert consensus guidelines for the assessment of the cortisol awakening response (CAR)

Psychoneuroendocrinology, Journal Year: 2022, Volume and Issue: 146, P. 105946 - 105946

Published: Sept. 27, 2022

Language: Английский

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Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

JMIR mhealth and uhealth, Journal Year: 2023, Volume and Issue: 11, P. e50983 - e50983

Published: Sept. 20, 2023

Background Consumer sleep trackers (CSTs) have gained significant popularity because they enable individuals to conveniently monitor and analyze their sleep. However, limited studies comprehensively validated the performance of widely used CSTs. Our study therefore investigated popular CSTs based on various biosignals algorithms by assessing agreement with polysomnography. Objective This aimed validate accuracy types through a comparison in-lab Additionally, including conducting multicenter large sample size, this seeks provide comprehensive insights into applicability these for monitoring in hospital environment. Methods The analyzed 11 commercially available CSTs, 5 wearables (Google Pixel Watch, Galaxy Watch 5, Fitbit Sense 2, Apple 8, Oura Ring 3), 3 nearables (Withings Sleep Tracking Mat, Google Nest Hub Amazon Halo Rise), airables (SleepRoutine, SleepScore, Pillow). were divided 2 groups, ensuring maximum inclusion while avoiding interference between within each group. Each group (comprising 8 CSTs) was also compared via Results enrolled 75 participants from tertiary primary sleep-specialized clinic Korea. Across centers, we collected total 3890 hours sessions along 543 polysomnography recordings. CST recording covered an average 353 hours. We 349,114 epochs polysomnography, where epoch-by-epoch stage classification showed substantial variation. More specifically, highest macro F1 score 0.69, lowest 0.26. Various exhibited diverse performances across stages, SleepRoutine excelling wake rapid eye movement like showing superiority deep stage. There distinct trend measure estimation according type device. Wearables high proportional bias efficiency, latency. Subgroup analyses revealed variations scores factors, such as BMI, apnea-hypopnea index, differences male female subgroups minimal. Conclusions that among examined, specific indicating potential application monitoring, other partially consistent offers strengths different classes interested wellness who wish understand proactively manage own

Language: Английский

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Evaluating reliability in wearable devices for sleep staging

npj Digital Medicine, Journal Year: 2024, Volume and Issue: 7(1)

Published: March 18, 2024

Abstract Sleep is crucial for physical and mental health, but traditional sleep quality assessment methods have limitations. This scoping review analyzes 35 articles from the past decade, evaluating 62 wearable setups with varying sensors, algorithms, features. Our analysis indicates a trend towards combining accelerometer photoplethysmography (PPG) data out-of-lab staging. Devices using only are effective sleep/wake detection fall short in identifying multiple stages, unlike those incorporating PPG signals. To enhance reliability of staging wearables, we propose five recommendations: (1) Algorithm validation equity, diversity, inclusion considerations, (2) Comparative performance commercial algorithms across (3) Exploration feature impacts on algorithm accuracy, (4) Consistent reporting metrics objective assessment, (5) Encouragement open-source classifier availability. Implementing these recommendations can improve accuracy solidifying their value research clinical settings.

Language: Английский

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Methodologies and Wearable Devices to Monitor Biophysical Parameters Related to Sleep Dysfunctions: An Overview

Micromachines, Journal Year: 2022, Volume and Issue: 13(8), P. 1335 - 1335

Published: Aug. 17, 2022

Sleep is crucial for human health from metabolic, mental, emotional, and social points of view; obtaining good sleep in terms quality duration fundamental maintaining a life quality. Over the years, several systems have been proposed scientific literature on market to derive metrics used quantify as well detect disturbances disorders. In this field, wearable an important role discreet, accurate, long-term detection biophysical markers useful determine This paper presents current state-of-the-art software tools staging detecting disorders dysfunctions. At first, discusses sleep's functions importance monitoring eventual disturbance Afterward, overview prototype commercial headband-like devices monitor presented, both reported market, allowing unobtrusive accurate markers. Furthermore, survey works related effect COVID-19 pandemic functions, attributable infection lifestyle changes. addition, algorithms introduced based analysis single or multiple biosignals (EEG-electroencephalography, ECG-electrocardiography, EMG-electromyography, EOG-electrooculography, etc.). Lastly, comparative analyses insights are provided future trends systems.

Language: Английский

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Pyjamas, Polysomnography and Professional Athletes: The Role of Sleep Tracking Technology in Sport

Sports, Journal Year: 2023, Volume and Issue: 11(1), P. 14 - 14

Published: Jan. 5, 2023

Technological advances in sleep monitoring have seen an explosion of devices used to gather important metrics. These range from instrumented ‘smart pyjamas’ through at-home polysomnography devices. Alongside these developments technologies, there been concomitant increases athletic populations, both the research and practical settings. The increase sport is likely due increased knowledge importance recovery process performance athlete, as well well-reported challenges that athletes can face with their sleep. This narrative review will discuss: (1) athletes; (2) various wearable tools technologies being monitor setting; (3) role tracking may play gathering information about sleep; (4) reliability validity devices; (5) limitations cautions associated trackers; and, (6) use trackers guide behaviour change athletes. We also provide some recommendations for practitioners working ensure selection such technology meet goals requirements athlete.

Language: Английский

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Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults

Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6532 - 6532

Published: Oct. 10, 2024

Sleep tracking by consumers is becoming increasingly prevalent; yet, few studies have evaluated the accuracy of such devices. We sought to evaluate three devices (Oura Ring Gen3, Fitbit Sense 2, and Apple Watch Series 8) compared gold standard sleep assessment (polysomnography (PSG)). Thirty-five participants (aged 20-50 years) without a disorder were enrolled in single-night inpatient study, during which they wore Oura Ring, Fitbit, Watch, monitored with PSG. For detecting vs. wake, sensitivity was ≥95% for all discriminating between stages, ranged from 50 86%, as follows: ring 76.0-79.5% precision 77.0-79.5%; 61.7-78.0% 72.8-73.2%; 50.5-86.1% 72.7-87.8%. The not different PSG terms light sleep, deep or REM estimation. overestimated (18 min;

Language: Английский

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