Literature DB >> 26158542

Evaluation of a consumer fitness-tracking device to assess sleep in adults.

Massimiliano de Zambotti1, Stephanie Claudatos, Sarah Inkelis, Ian M Colrain, Fiona C Baker.   

Abstract

Wearable fitness-tracker devices are becoming increasingly available. We evaluated the agreement between Jawbone UP and polysomnography (PSG) in assessing sleep in a sample of 28 midlife women. As shown previously, for standard actigraphy, Jawbone UP had high sensitivity in detecting sleep (0.97) and low specificity in detecting wake (0.37). However, it showed good overall agreement with PSG with a maximum of two women falling outside Bland-Altman plot agreement limits. Jawbone UP overestimated PSG total sleep time (26.6 ± 35.3 min) and sleep onset latency (5.2 ± 9.6 min), and underestimated wake after sleep onset (31.2 ± 32.3 min) (p's < 0.05), with greater discrepancies in nights with more disrupted sleep. The low-cost and wide-availability of these fitness-tracker devices may make them an attractive alternative to standard actigraphy in monitoring daily sleep-wake rhythms over several days.

Entities:  

Keywords:  Actigraphy; activity trackers; motion; sleep; wristbands

Mesh:

Year:  2015        PMID: 26158542      PMCID: PMC4780439          DOI: 10.3109/07420528.2015.1054395

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  13 in total

1.  Further validation of actigraphy for sleep studies.

Authors:  Luciane de Souza; Ana Amélia Benedito-Silva; Maria Laura Nogueira Pires; Dalva Poyares; Sergio Tufik; Helena Maria Calil
Journal:  Sleep       Date:  2003-02-01       Impact factor: 5.849

2.  Wake detection capacity of actigraphy during sleep.

Authors:  Jean Paquet; Anna Kawinska; Julie Carrier
Journal:  Sleep       Date:  2007-10       Impact factor: 5.849

Review 3.  Monitoring human health behaviour in one's living environment: a technological review.

Authors:  Shane A Lowe; Gearóid Ólaighin
Journal:  Med Eng Phys       Date:  2013-12-30       Impact factor: 2.242

4.  Validation of Sleep-Tracking Technology Compared with Polysomnography in Adolescents.

Authors:  Massimiliano de Zambotti; Fiona C Baker; Ian M Colrain
Journal:  Sleep       Date:  2015-09-01       Impact factor: 5.849

5.  Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography.

Authors:  Miguel Marino; Yi Li; Michael N Rueschman; J W Winkelman; J M Ellenbogen; J M Solet; Hilary Dulin; Lisa F Berkman; Orfeu M Buxton
Journal:  Sleep       Date:  2013-11-01       Impact factor: 5.849

6.  Direct comparison of two new actigraphs and polysomnography in children and adolescents.

Authors:  Lisa J Meltzer; Colleen M Walsh; Joel Traylor; Anna M L Westin
Journal:  Sleep       Date:  2012-01-01       Impact factor: 5.849

7.  Association between personality traits and DSM-IV diagnosis of insomnia in peri- and postmenopausal women.

Authors:  Stephanie A Sassoon; Massimiliano de Zambotti; Ian M Colrain; Fiona C Baker
Journal:  Menopause       Date:  2014-06       Impact factor: 2.953

8.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

9.  Activity-based sleep-wake identification: an empirical test of methodological issues.

Authors:  A Sadeh; K M Sharkey; M A Carskadon
Journal:  Sleep       Date:  1994-04       Impact factor: 5.849

Review 10.  The role of actigraphy in the study of sleep and circadian rhythms.

Authors:  Sonia Ancoli-Israel; Roger Cole; Cathy Alessi; Mark Chambers; William Moorcroft; Charles P Pollak
Journal:  Sleep       Date:  2003-05-01       Impact factor: 5.849

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  42 in total

1.  Fitness Tracker to Assess Sleep: Beyond the Market.

Authors:  Dalva Poyares; Camila Hirotsu; Sergio Tufik
Journal:  Sleep       Date:  2015-09-01       Impact factor: 5.849

2.  Ability of the Multisensory Jawbone UP3 to Quantify and Classify Sleep in Patients With Suspected Central Disorders of Hypersomnolence: A Comparison Against Polysomnography and Actigraphy.

Authors:  Jesse D Cook; Michael L Prairie; David T Plante
Journal:  J Clin Sleep Med       Date:  2018-05-15       Impact factor: 4.062

Review 3.  How consumer physical activity monitors could transform human physiology research.

Authors:  Stephen P Wright; Tyish S Hall Brown; Scott R Collier; Kathryn Sandberg
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-01-04       Impact factor: 3.619

4.  Utility of the Fitbit Flex to evaluate sleep in major depressive disorder: A comparison against polysomnography and wrist-worn actigraphy.

Authors:  Jesse D Cook; Michael L Prairie; David T Plante
Journal:  J Affect Disord       Date:  2017-04-19       Impact factor: 4.839

Review 5.  Sensors Capabilities, Performance, and Use of Consumer Sleep Technology.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Luca Menghini; Michela Sarlo; Fiona C Baker
Journal:  Sleep Med Clin       Date:  2020-01-03

6.  The Boom in Wearable Technology: Cause for Alarm or Just What is Needed to Better Understand Sleep?

Authors:  Massimiliano de Zambotti; Job G Godino; Fiona C Baker; Joseph Cheung; Kevin Patrick; Ian M Colrain
Journal:  Sleep       Date:  2016-09-01       Impact factor: 5.849

Review 7.  Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep.

Authors:  Kelly Glazer Baron; Jennifer Duffecy; Mark A Berendsen; Ivy Cheung Mason; Emily G Lattie; Natalie C Manalo
Journal:  Sleep Med Rev       Date:  2017-12-20       Impact factor: 11.609

8.  How reliable are commercially available trackers in detecting daytime sleep.

Authors:  Philip Lambrechtse; Victoria C Ziesenitz; Adam Cohen; Johannes N van den Anker; Ernst Jan Bos
Journal:  Br J Clin Pharmacol       Date:  2018-01-17       Impact factor: 4.335

9.  Validation of sleep measurement in a multisensor consumer grade wearable device in healthy young adults.

Authors:  Jennifer C Kanady; Leslie Ruoff; Laura D Straus; Jonathan Varbel; Thomas Metzler; Anne Richards; Sabra S Inslicht; Aoife O'Donovan; Jennifer Hlavin; Thomas C Neylan
Journal:  J Clin Sleep Med       Date:  2020-06-15       Impact factor: 4.062

10.  Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.

Authors:  Christopher M Depner; Philip C Cheng; Jaime K Devine; Seema Khosla; Massimiliano de Zambotti; Rébecca Robillard; Andrew Vakulin; Sean P A Drummond
Journal:  Sleep       Date:  2020-02-13       Impact factor: 5.849

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