Sleep Estimates Using Microelectromechanical Systems (MEMS)

Lindert, Bart H W Te; Someren, Eus J.W. Van

doi:10.5665/sleep.2648

Cited by 125 publications

(80 citation statements)

References 40 publications

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“…We derived sleep efficiency (%, [total sleep time/assumed sleep time] × 100) as an objective indicator of sleep quality assessed by GENEActiv accelerometer (κ = 0.85 [0.06]) (te Lindert & Van Someren, ). The raw acceleration output was aggregated in 60‐s epochs using the GENEActiv postprocessing PC software.…”

Section: Methodsmentioning

confidence: 99%

Associations between objectively measured and self‐reported sleep with academic and cognitive performance in adolescents: DADOS study

Adelantado‐Renau

Beltran-Valls

Migueles

et al. 2019

Journal of Sleep Research

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Summary Adequate sleep has been positively related with health and school achievement outcomes during adolescence. The aim of this study was to investigate the associations of objectively measured and self‐reported sleep duration and quality with academic and cognitive performance in adolescents. This study was conducted with 257 adolescents (13.9 ± 0.3 years) from the DADOS study (Deporte, ADOlescencia y Salud). Objectively measured and self‐reported sleep duration and quality were obtained by a wrist‐worn GENEActiv accelerometer and the Spanish version of Pittsburgh Sleep Quality Index questionnaire, respectively. Academic performance was analysed through school records using four indicators: math, language, science and grade point average score. Cognitive performance was measured using the Spanish version of the “SRA Test of Educational Ability”. After Benjamini–Hochberg correction for the false discovery rate, objectively measured sleep duration was negatively associated with verbal ability (β = −0.179, p = .004), whilst self‐reported sleep quality was positively associated with academic performance (β ranging from 0.209 to 0.273; all p < .001). These associations remained significant after further controlling for physical fitness and physical activity. Conversely, there were no associations between self‐reported sleep duration and objective sleep quality with academic and cognitive performance. Our findings fit in line with previous research showing that sleep quality may play an important role on adolescents’ academic performance. Further interventional research is needed to clarify the mechanisms by which sleep is related to academic performance in youth.

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Section: Methodsmentioning

confidence: 99%

Associations between objectively measured and self‐reported sleep with academic and cognitive performance in adolescents: DADOS study

Adelantado‐Renau

Beltran-Valls

Migueles

et al. 2019

Journal of Sleep Research

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“…Daily sleep duration was objectively measured by a GENEActiv accelerometer (Activinsights Ltd, Cambridgeshire, UK), which is a lightweight 16 g, triaxial and waterproof. It has been found to be reliable for examining sleep (kappa = 0.85 ± 0.06) . Participants were instructed to wear 24‐hours day the accelerometer on their left wrist for at least four consecutive days, including two weekend days and two weekdays.…”

Section: Methodsmentioning

confidence: 99%

The influence of adherence to the Mediterranean diet on academic performance is mediated by sleep quality in adolescents

et al. 2018

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“…Participants wore the GENEActiv® accelerometer on their non-dominant wrist for nine consecutive days in weeks 0, 12 and 24 of the study and filled in daily sleep diaries with lights-off, asleep and wake-up information during these periods. The GENEActiv® sensor contains a tri-axial accelerometer, with a sensor resolution of +-8g, as well as a temperature sensor and has previously been validated for sleep research [10] [6]. Acceleration data were collected at a sampling frequency of 87.5 Hz.…”

Section: Methodsmentioning

confidence: 99%

Automated detection of sleep-boundary times using wrist-worn accelerometry

O’Donnell

Hollowell

Salimi‐Khorshidi

et al. 2017

Preprint

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Objective Current polysomnography-validated measures of sleep status from wrist-worn accelerometers cannot be used in fully automated analysis as they rely on self-reported sleep-onset and -end (sleep-boundary) information. We set out to develop an automated, data-driven approach to sleep-boundary detection from wrist-worn accelerometer data. MethodsOn three separate occasions, participants were asked to wear a GENEActiv ® wrist-worn accelerometer for nine days and concurrently complete sleep diaries with lights-off, asleep and wake-up information. We developed and evaluated three data-driven methods for sleep-boundary detection: a change-point detection based method , a thresholding method and a random forest classifier based method. Mean absolute errors between automatically-derived and self-reported sleep-onset and wake-up times were recorded in addition to kappa statistics for the minute-by-minute performance of each of the methods. ConclusionOur methods provide a data-driven approach to detect sleep-onset and -end times without the need for self-reported sleep-boundary information. The methods are likely

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Sleep Estimates Using Microelectromechanical Systems (MEMS)

Cited by 125 publications

References 40 publications

Associations between objectively measured and self‐reported sleep with academic and cognitive performance in adolescents: DADOS study

Associations between objectively measured and self‐reported sleep with academic and cognitive performance in adolescents: DADOS study

The influence of adherence to the Mediterranean diet on academic performance is mediated by sleep quality in adolescents

Automated detection of sleep-boundary times using wrist-worn accelerometry

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