Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at, first published .
Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis

Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis

Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis


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  119. Dreyer R, Berkowitz A, Yaggi H, Schneeberg L, Shah N, Emanuel L, Kolla B, Jeffery M, Deeg M, Ervin K, Thorndike F, Ross J. PreScription DigitaL ThErapEutic for Patients with Insomnia (SLEEP-I): a protocol for a pragmatic randomised controlled trial. BMJ Open 2022;12(8):e062041 View
  120. LAXMINARAYAN S, HORNBY S, BELVAL L, GIERSCH G, MORRISSEY M, CASA D, REIFMAN J. Prospective Validation of 2B-Cool: Integrating Wearables and Individualized Predictive Analytics to Reduce Heat Injuries. Medicine & Science in Sports & Exercise 2023;55(4):751 View
  121. Schmidt L, Neubauer A, Stoffel M, Ditzen B, Schirmaier J, Farrenkopf C, Sieverding M. Effects of mental contrasting on sleep and associations with stress: A randomized controlled trial. Journal of Health Psychology 2023;28(11):1057 View
  122. Chen Y, Zhou E, Wang Y, Wu Y, Xu G, Chen L. The past, present, and future of sleep quality assessment and monitoring. Brain Research 2023;1810:148333 View
  123. Gonzales J, Elavsky S, Cipryan L, Jandačková V, Burda M, Jandačka D. Influence of sleep duration and sex on age-related differences in heart rate variability: Findings from program 4 of the HAIE study. Sleep Medicine 2023;106:69 View
  124. Chinoy E, Cuellar J, Jameson J, Markwald R. Daytime Sleep-Tracking Performance of Four Commercial Wearable Devices During Unrestricted Home Sleep. Nature and Science of Sleep 2023;Volume 15:151 View
  125. Angelucci A, Greco M, Canali S, Marelli G, Avidano G, Goretti G, Cecconi M, Aliverti A. Fitbit Data to Assess Functional Capacity in Patients Before Elective Surgery: Pilot Prospective Observational Study. Journal of Medical Internet Research 2023;25:e42815 View
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  127. Runge N, Suckow M. Die Rolle von Schlafproblemen in der muskuloskelettalen Physiotherapie – Teil 1. MSK – Muskuloskelettale Physiotherapie 2023;27(02):100 View
  128. Windrix C, Vandyck K, Tanaka K, Butt A. Night Float Rotations: Continued Questions With Few Answers. Anesthesia & Analgesia 2023;136(6):e41 View
  129. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  130. Gadangi P, Lambert B, Goble H, Harris J, McCulloch P. Validated Wearable Device Shows Acute Postoperative Changes in Sleep Patterns Consistent With Patient-Reported Outcomes and Progressive Decreases in Device Compliance After Shoulder Surgery. Arthroscopy, Sports Medicine, and Rehabilitation 2023;5(5):100783 View
  131. Stirling R, Hidajat C, Grayden D, D’Souza W, Naim-Feil J, Dell K, Schneider L, Nurse E, Freestone D, Cook M, Karoly P. Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration. Brain 2023;146(7):2803 View
  132. Sun S, Folarin A, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P, Sankesara H, Matcham F, Leightley D, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Simblett S, Nica R, Rintala A, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Vairavan S, Narayan V, Annas P, Hotopf M, Dobson R. Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis. Journal of Medical Internet Research 2023;25:e45233 View
  133. Lee T, Cho Y, Cha K, Jung J, Cho J, Kim H, Kim D, Hong J, Lee D, Keum M, Kushida C, Yoon I, Kim J. Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study. JMIR mHealth and uHealth 2023;11:e50983 View
  134. McMahon M, McConley I, Hashim C, Schnyer D. Fitbit validation for rest-activity rhythm assessment in young and older adults. Smart Health 2023;29:100418 View
  135. Bani Issa W, Hijazi H, Radwan H, Saqan R, Al-Sharman A, Samsudin A, Fakhry R, Al-Yateem N, Rossiter R, Ibrahim A, Moustafa I, Naja F, Alameddine M, Abbas N, Abdelrahim D, Al-Shujairi A, Awad M. Evaluation of the effectiveness of sleep hygiene education and FITBIT devices on quality of sleep and psychological worry: a pilot quasi-experimental study among first-year college students. Frontiers in Public Health 2023;11 View
  136. de Gooijer F, van Kraaij A, Fabius J, Hermsen S, Feskens E, Camps G. Assessing snacking and drinking behavior in Real-Life Settings: Validation of the SnackBox technology. Food Quality and Preference 2023;112:105002 View
  137. Ito-Masui A, Sakamoto R, Matsuo E, Kawamoto E, Motomura E, Tanii H, Yu H, Sano A, Imai H, Shimaoka M. Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial. Journal of Medical Internet Research 2023;25:e45834 View
  138. Williamson A, Amin R, Meltzer L, Laposky A, Fiks A, Tapia I. Defining and Promoting Pediatric Pulmonary Health: Understanding Sleep and Ventilatory Health. Pediatrics 2023;152(Supplement 2) View
  139. Carlson E, Wilckens K, Wheeler M, Lipsitz L. The Interactive Role of Sleep and Circadian Rhythms in Episodic Memory in Older Adults. The Journals of Gerontology: Series A 2023;78(10):1844 View
  140. Doty T, Stekl E, Bohn M, Klosterman G, Simonelli G, Collen J. A 2022 Survey of Commercially Available Smartphone Apps for Sleep. Sleep Medicine Clinics 2023;18(3):373 View
  141. Lederer L, Breton A, Jeong H, Master H, Roghanizad A, Dunn J. The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program. JMIR mHealth and uHealth 2023;11:e45103 View
  142. Lewis-de los Angeles W. Adverse Childhood Experiences and Accelerometer-Measured Physical Activity and Sleep in Preadolescents. Academic Pediatrics 2023 View
  143. Tran H, Hong J, Jang H, Jung J, Kim J, Hong J, Lee M, Kim J, Kushida C, Lee D, Kim D, Yoon I. Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation. Journal of Medical Internet Research 2023;25:e46216 View
  144. Tsai C, Rajput G, Gao A, Wu Y, Wu D. Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study. Journal of the American Medical Informatics Association 2024;31(2):465 View
  145. Goodwin A, Miller D, D’Angelo S, Perrin A, Wiener R, Greene B, Romain A, Arader L, Chandereng T, Kuen Cheung Y, Davidson K, Butler M. Protocol for randomized personalized trial for stress management compared to standard of care. Frontiers in Psychology 2023;14 View
  146. Himali J, Baril A, Cavuoto M, Yiallourou S, Wiedner C, Himali D, DeCarli C, Redline S, Beiser A, Seshadri S, Pase M. Association Between Slow-Wave Sleep Loss and Incident Dementia. JAMA Neurology 2023;80(12):1326 View
  147. Woelfle T, Pless S, Reyes Ó, Wiencierz A, Kappos L, Granziera C, Lorscheider J. Smartwatch-derived sleep and heart rate measures complement step counts in explaining established metrics of MS severity. Multiple Sclerosis and Related Disorders 2023;80:105104 View
  148. Migovich M, Ullal A, Fu C, Peters S, Sarkar N. Feasibility of wearable devices and machine learning for sleep classification in children with Rett syndrome: A pilot study. DIGITAL HEALTH 2023;9 View
  149. Chowdhary A, Davis J, Ding L, Taravati P, Feng S. Resident Sleep During Traditional Home Call Compared to Night Float. Journal of Academic Ophthalmology 2023;15(02):e204 View
  150. Hathorn T, Byun Y, Rosen R, Sharma A. Clinical utility of smartphone applications for sleep physicians. Sleep and Breathing 2023;27(6):2371 View
  151. Creswell J, Tumminia M, Price S, Sefidgar Y, Cohen S, Ren Y, Brown J, Dey A, Dutcher J, Villalba D, Mankoff J, Xu X, Creswell K, Doryab A, Mattingly S, Striegel A, Hachen D, Martinez G, Lovett M. Nightly sleep duration predicts grade point average in the first year of college. Proceedings of the National Academy of Sciences 2023;120(8) View
  152. Khanie M, Illum T, Hosseinpour N, Matsuo K, Fan X, Wargocki P, Ooka R. Exploring the effects of spectral light exposure on University students' sleep quality: A cross-sectional study. E3S Web of Conferences 2023;396:01106 View
  153. Schmidt L, Baetzner A, Dreisbusch M, Mertens A, Sieverding M. Postponing sleep after a stressful day: Patterns of stress, bedtime procrastination, and sleep outcomes in a daily diary approach. Stress and Health 2023 View
  154. Garrett S, Burnell K, Armstrong-Carter E, Nelson B, Prinstein M, Telzer E. Links Between Objectively-Measured Hourly Smartphone Use and Adolescent Wake Events Across Two Weeks. Journal of Clinical Child & Adolescent Psychology 2023:1 View
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  156. Kawai K, Iwamoto K, Miyata S, Okada I, Fujishiro H, Noda A, Nakagome K, Ozaki N, Ikeda M. Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e51336 View
  157. Rajput G, Gao A, Wu T, Tsai C, Molano J, Wu D. Sleep Patterns of Premedical Undergraduate Students: Pilot Study and Protocol Evaluation. JMIR Formative Research 2024;8:e45910 View
  158. Kelly K, Kolbeinsson H, Blanck L, Khan M, Kyriakakis R, Assifi M, Wright G, Chung M. Can we let our patients sleep in the hospital? A randomized controlled trial of a pragmatic sleep protocol in surgical oncology patients. Journal of Surgical Oncology 2024;129(4):827 View
  159. Machorro-Cano I, Olmedo-Aguirre J, Alor-Hernández G, Rodríguez-Mazahua L, Sánchez-Morales L, Pérez-Castro N. Cloud-Based Platforms for Health Monitoring: A Review. Informatics 2023;11(1):2 View
  160. González D, Wang D, Pollet E, Velarde A, Horn S, Coss P, Vaou O, Wang J, Li C, Seshadri S, Miao H, Gonzales M. Performance of the Dreem 2 EEG headband, relative to polysomnography, for assessing sleep in Parkinson’s disease. Sleep Health 2024;10(1):24 View
  161. Yue H, Chen Z, Guo W, Sun L, Dai Y, Wang Y, Ma W, Fan X, Wen W, Lei W. Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice. Sleep Medicine Reviews 2024;74:101897 View
  162. Kuo F, Tudor B, Gray G, Ahumada L, Rehman M, Watkins S. Precision Anesthesia in 2050. Anesthesia & Analgesia 2024;138(2):326 View
  163. Junghans-Rutelonis A, Sim L, Harbeck-Weber C, Dresher E, Timm W, Weiss K. Feasibility of wearable activity tracking devices to measure physical activity and sleep change among adolescents with chronic pain—a pilot nonrandomized treatment study. Frontiers in Pain Research 2024;4 View
  164. Svensson T, Madhawa K, NT H, Chung U, Svensson A. Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs. Sleep Medicine 2024;115:251 View
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Books/Policy Documents

  1. Pateliya S, Shah V. Emerging Technologies in Data Mining and Information Security. View
  2. Tung J, Gower S, Ooteghem K, Nouredanesh M, Gage W. Digital Health. View
  3. Yao C, Ho K. Handbook Integrated Care. View
  4. Orchard F, Gregory A. Encyclopedia of Sleep and Circadian Rhythms. View
  5. de Zambotti M, Menghini L, Cellini N, Goldstein C, Baker F. Encyclopedia of Sleep and Circadian Rhythms. View
  6. Chinoy E, Markwald R. Encyclopedia of Sleep and Circadian Rhythms. View
  7. Cook J, Cuamatzi Castelan A, Cheng P. Encyclopedia of Sleep and Circadian Rhythms. View
  8. Verbraecken J. The Role of Epiglottis in Obstructive Sleep Apnea. View
  9. Hui K, Ibrahim F, Mokhtar M, Jamaluddin N. 4th International Conference for Innovation in Biomedical Engineering and Life Sciences. View