Published on in Vol 22, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14735, first published .
Four-Year Trends in Sleep Duration and Quality: A Longitudinal Study Using Data from a Commercially Available Sleep Tracker

Four-Year Trends in Sleep Duration and Quality: A Longitudinal Study Using Data from a Commercially Available Sleep Tracker

Four-Year Trends in Sleep Duration and Quality: A Longitudinal Study Using Data from a Commercially Available Sleep Tracker

Journals

  1. Yu H, Shin O, Kim S, Park C. Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality. Sensors 2020;20(18):5317 View
  2. van Kraaij A, Schiavone G, Lutin E, Claes S, Van Hoof C. Relationship Between Chronic Stress and Heart Rate Over Time Modulated by Gender in a Cohort of Office Workers: Cross-Sectional Study Using Wearable Technologies. Journal of Medical Internet Research 2020;22(9):e18253 View
  3. Leak R, Weiner S, Chandwani M, Rhodes D. Long weekend sleep is linked to stronger academic performance in male but not female pharmacy students. Advances in Physiology Education 2020;44(3):350 View
  4. Lee P, Marek J, Nálevka P. Crowdsourced smartphone data reveal altered sleep/wake pattern in quarantined Chinese during the COVID-19 outbreak. Chronobiology International 2020;37(8):1181 View
  5. Lee P, Marek J, Nálevka P. Sleep pattern in the US and 16 European countries during the COVID-19 outbreak using crowdsourced smartphone data. European Journal of Public Health 2021;31(1):23 View
  6. Mattingly S, Grover T, Martinez G, Aledavood T, Robles-Granda P, Nies K, Striegel A, Mark G. The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing. npj Digital Medicine 2021;4(1) View
  7. Ramdhany Y, Devi Goorah S, Cheeneebash J, Niketan Oodun R. Factors Associated with Poor Sleep among Young People in Mauritius: A Survey-Based Study. International Journal of Medical Students 2022;10(3):236 View
  8. Lim J, Yun J, Choi S, Park S, Suk H, Jang J. Greater variability in daily sleep efficiency predicts depression and anxiety in young adults: Estimation of depression severity using the two-week sleep quality records of wearable devices. Frontiers in Psychiatry 2022;13 View
  9. Smolders K, Druijff-van de Woestijne G, Meijer K, Mcconchie H, de Kort Y. Smartphone Keyboard Interaction Monitoring as an Unobtrusive Method to Approximate Rest-Activity Patterns: Experience Sampling Study Investigating Interindividual and Metric-Specific Variations. Journal of Medical Internet Research 2023;25:e38066 View
  10. Gafarov V, Gromova E, Gagulin I, Panov D, Maksimov V, Gubina M, Gafarova A. Association of sleep disorders with various polymorphic variants of the 5-HTTLPR SNP rs25531 A>G gene in people aged 25–44. Neurology, Neuropsychiatry, Psychosomatics 2023;15(1):43 View
  11. Karatas M, Eriskin L, Deveci M, Pamucar D, Garg H. Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives. Expert Systems with Applications 2022;200:116912 View
  12. Tao Z, Feng Y, Liu J, Tao L. Trends and disparities in sleep quality and duration in older adults in China from 2008 to 2018: A national observational study. Frontiers in Public Health 2023;11 View
  13. Jalali N, Sahu K, Oetomo A, Morita P. Usability of Smart Home Thermostat to Evaluate the Impact of Weekdays and Seasons on Sleep Patterns and Indoor Stay: Observational Study. JMIR mHealth and uHealth 2022;10(4):e28811 View
  14. Koh K, Hyder A, Karale Y, Kamel Boulos M. Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health. Remote Sensing 2022;14(13):2996 View
  15. Velásquez Ron B, Mosquera Cisneros V, Pazmiño Troncoso P, Rodríguez Tates M, Alvares Lalvay E, Chauca Bajaña L, Ordoñez Balladares A. Monitoring of awake bruxism by intelligent app. F1000Research 2022;11:479 View
  16. Zhou P, Ma J, Li X, Zhao Y, Yu K, Su R, Zhou R, Wang H, Wang G. The long-term and short-term effects of ambient air pollutants on sleep characteristics in the Chinese population: big data analysis from real world by sleep records of consumer wearable devices. BMC Medicine 2023;21(1) View
  17. Wei Y, Zhu Y, Zhou Y, Yu X, Lin H, Ruan L, Lei H, Luo Y. Investigating the influence of an adjustable zoned air mattress on sleep: a multinight polysomnography study. Frontiers in Neuroscience 2023;17 View
  18. Karuga F, Kaczmarski P, Białasiewicz P, Szmyd B, Jaromirska J, Grzybowski F, Gebuza P, Sochal M, Gabryelska A. REM-OSA as a Tool to Understand Both the Architecture of Sleep and Pathogenesis of Sleep Apnea—Literature Review. Journal of Clinical Medicine 2023;12(18):5907 View
  19. Stoner L, Higgins S, Paterson C. The 24-h activity cycle and cardiovascular outcomes: establishing biological plausibility using arterial stiffness as an intermediate outcome. American Journal of Physiology-Heart and Circulatory Physiology 2023;325(6):H1243 View
  20. Hennebelle A, Ismail L, Materwala H, Al Kaabi J, Ranjan P, Janardhanan R. Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction. Computational and Structural Biotechnology Journal 2024;23:212 View

Books/Policy Documents

  1. Chinoy E, Markwald R. Encyclopedia of Sleep and Circadian Rhythms. View
  2. Roomkham S, Ploderer B, Smith S, Perrin D. Quantifying Quality of Life. View
  3. Cook J, Cuamatzi Castelan A, Cheng P. Encyclopedia of Sleep and Circadian Rhythms. View
  4. V. Gafarov V, A. Gromova E, N. Maksimov V, V. Gagulin I, V. Gafarova A. Circadian Rhythm - New Insights Into Physiological and Pathological Implications. View
  5. Chatterjee A, Prinz A, Pahari N, Das J, Riegler M. Frontiers of ICT in Healthcare. View
  6. Coveney C, Greaney M, Hsu E, Meadows R, Williams S. Technosleep. View