This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2412) Military Medicine (35) Digital Biomarkers and Digital Phenotyping (191) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Data Collection and Research (955) Wearable Devices and Sensors (889) Depression and Mood Disorders; Suicide Prevention (1363) Insomnia and Sleep Hygiene (167) Sleep Monitoring, Sleep Quality, Sleep Disorders (183)

Published on in Vol 4, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18086, first published .
Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study

Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study

Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study

Authors of this article:

Darshan Thota1 Author Orcid Image
Article Authors Cited by (13) Tweetations (1) Metrics

Journals

  1. Manea V, Wac K. Co-Calibrating Physical and Psychological Outcomes and Consumer Wearable Activity Outcomes in Older Adults: An Evaluation of the coQoL Method. Journal of Personalized Medicine 2020;10(4):203 View
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  5. 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
  6. LeBrun D, Grubel J, Ong J, Chiu Y, Blevins J, Haas S, Rodriguez J, Gausden E, Cushner F, Lee G, Gonzalez Della Valle A, Chalmers B. The John N. Insall Award: Does Melatonin Improve Subjective Sleep Quality After Total Knee Arthroplasty? A Randomized, Placebo-Controlled Trial. The Journal of Arthroplasty 2024;39(8):S15 View
  7. Gnarra O, van der Meer J, Warncke J, Fregolente L, Wenz E, Zub K, Nwachukwu U, Zhang Z, Khatami R, von Manitius S, Miano S, Acker J, Strub M, Riener R, Bassetti C, Schmidt M. The Swiss Primary Hypersomnolence and Narcolepsy Cohort Study: feasibility of long-term monitoring with Fitbit smartwatches in central disorders of hypersomnolence and extraction of digital biomarkers in narcolepsy. SLEEP 2024;47(9) View
  8. Sumter S, Baumgartner S, Wiradhany W. Beyond screentime: a 7-day mobile tracking study among college students to disentangle smartphone screentime and content effects on sleep. Behaviour & Information Technology 2024:1 View
  9. Barac M, Scaletty S, Hassett L, Stillwell A, Croarkin P, Chauhan M, Chesak S, Bobo W, Athreya A, Dyrbye L. Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review. Journal of Medical Internet Research 2024;26:e50253 View
  10. Hassinger A, Kwon M, Wang J, Mishra A, Wilding G, Sadek I. Pilot study comparing sleep logs to a commercial wearable device in describing the sleep patterns of physicians-in-training. PLOS ONE 2024;19(7):e0305881 View
  11. Park J, Ahn E, Yoon K, Kim J. Performance of Fitbit Devices as Tools for Assessing Sleep Patterns and Associated Factors. Journal of Sleep Medicine 2024;21(2):59 View
  12. Uchida T, Kurosawa T. Objective and Subjective Sleep Characteristics of Japanese University Students: Analysis Using Questionnaires and Wearable Trackers. Japanese Psychological Research 2024 View
  13. Pick S, Millman L, Davies J, Hodsoll J, Stanton B, David A, Edwards M, Goldstein L, Mehta M, Nicholson T, Reinders A, Winston J, Chalder T, Hotopf M. Real-time biopsychosocial antecedents and correlates of functional neurological symptoms in daily life: A pilot remote monitoring technology study. Psychiatry Research 2024;342:116247 View