Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls

Menghini, Luca; Yűksel, Dilara; Goldstone, Aimée; Baker, Fiona C.; Zambotti, Massimiliano de

doi:10.1080/07420528.2021.1903481

Cited by 35 publications

(16 citation statements)

References 42 publications

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“…One study 35 also examined the Fitbit Alta HR in insomnia patients at home for one week, finding that it displayed similar sleep-tracking ability as actigraphy (but did not test it against PSG or mobile EEG). Studies testing other recent Fitbit models found the Charge 3 was high-performing when tested against PSG in adolescents, 12 and the Ionic performed among the best out of nine sleep-tracking devices tested at home versus mobile EEG in adults. 14 Fitbit device models have been the focus of most device performance studies in the sleep field (likely due to their early entry as a major company in the emerging wearables market).…”

Section: Discussionmentioning

confidence: 93%

Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults

Chinoy¹,

Cuellar²,

Jameson³

et al. 2022

NSS

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Section: Discussionmentioning

confidence: 93%

Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults

Chinoy¹,

Cuellar²,

Jameson³

et al. 2022

NSS

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“…Participants received a Fitbit Charge HR device to track sleep and exercise data. Whilst not classified as a medical-grade sleep tracker, Fitbit Charge HR shows good agreement with gold-standard laboratory polysomnography (PSG) in measuring total sleep time and sleep efficiency for adolescents [65,66]. The participants' Fitbit data was automatically imported into the SleepBeta app.…”

Section: Sleepbeta Cards and App Designmentioning

confidence: 99%

“…Whilst not classified as a medical-grade sleep tracker, Fitbit Charge HR devices are generally more accurate than self-reports [95], especially for people with sleep disorders [96,97]. Furthermore, validation studies with adolescents show that Fitbit Charge HR devices provide good agreement with gold-standard PSG data on total sleep time and sleep efficiency [65,66].…”

Section: Reflection On Study Limitationsmentioning

confidence: 99%

What’s keeping teens up at night? Reflecting on sleep and technology habits with teens

Ploderer

Rodgers

Liang

2022

Pers Ubiquit Comput

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Sleep studies suggest that exams, jobs, and technologies keep teens up at night, but little research exists to engage teens in reflecting on their own sleep. We designed a set of cards and a web-based app ‘SleepBeta’ to support reflection by inviting teens to ask questions, explore, track, and experiment with sleep and related technology and lifestyle habits. Through card sorting, we invited teens to identify technology and lifestyle habits they wished to track. SleepBeta let teens track various habits and sleep whilst visualizing interrelationships between these data. Twelve teens and 11 parents participated in interviews before and after a 3-week field trial of SleepBeta. Our findings highlighted four distinct modes of reflection: reflection in preparation, reflection in action, reflection upon revisiting data, and reflection through social interaction. We discuss how our findings provide sensitizing concepts that reframe reflection from a post hoc activity with personal data, to an ongoing process that starts before technologies are used to generate data. We highlight design opportunities for scaffolding reflection in preparation, and we reflect on design choices that give teens control over their data.

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“…actigraphy and polysomnography) are the best tools for accurately measuring sleep, but one downside is that they are relatively expensivethereby limiting the sample sizes for studies that use these methods. However, more cost-effective alternatives such as multi-sensor consumer devices measure sleep duration in adolescents with comparable accuracy to actigraphy (Lee et al, 2019;Menghini et al, 2021) and provide almost equally accurate sleep epochs, such as total sleep time (i.e. sensitivity (0.95-0.96) and specificity (0.58-0.69)) when compared to polysomnography in adults (Haghayegh et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Objectively measured sleep duration, sleep quality, and symptoms of psychopathology in the SIGMA cohort

Hagemann¹,

Lafit²,

Wampers³

et al. 2021

Preprint

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While subjective measures have demonstrated an association between sleep duration, sleep quality, and symptoms of psychopathology in adolescents, findings from more reliable, objective measures remain limited. In this study, we investigate if objectively measured sleep duration and sleep quality are associated with symptoms of psychopathology in adolescents.Adolescents (N=558; 11-17 y) from the SIGMA cohort wore the Fitbit Charge 2 measuring sleep duration and sleep quality during 4-6 days. Participants completed the Brief Symptom Inventory-53, assessing symptoms of general psychopathology, depression, anxiety, and psychoticism. Sleep duration was not associated with symptoms of general psychopathology, depression, anxiety, and psychoticism in general population adolescents. Further, sleep quality was not associated with symptom levels of anxiety, and psychoticism, but small to negligible positive associations were found between sleep quality and general psychopathology and depression symptoms.Our non-significant findings converge with those of an increasing body of objectively measured sleep literature that does no find significant associations between sleep duration, sleep quality and psychopathology symptoms. Overall, our results suggest that associations between sleep duration and psychopathology symptoms in previous studies may be a function of the subjective, self-report nature of the employed measures, and do not generalize to objectively collected sleep data.

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Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls

Cited by 35 publications

References 42 publications

Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults

Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults

What’s keeping teens up at night? Reflecting on sleep and technology habits with teens

Objectively measured sleep duration, sleep quality, and symptoms of psychopathology in the SIGMA cohort

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