Published on in Vol 5, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28208, first published .
Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study

Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study

Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study

Journals

  1. Duncan M, Riazi N, Faulkner G, Gilchrist J, Leatherdale S, Patte K. The association of physical activity, sleep, and screen time with mental health in Canadian adolescents during the COVID-19 pandemic: A longitudinal isotemporal substitution analysis. Mental Health and Physical Activity 2022;23:100473 View
  2. da Costa B, Bruner B, Raymer G, Benson S, Chaput J, McGoey T, Rickwood G, Robertson-Wilson J, Saunders T, Law B. Association of daily and time-segmented physical activity and sedentary behaviour with mental health of school children and adolescents from rural Northeastern Ontario, Canada. Frontiers in Psychology 2022;13 View
  3. Andriyani F, De Cocker K, Priambadha A, Biddle S. Physical activity and sedentary behaviour of male adolescents in Indonesia during the COVID-19 pandemic: a mixed-method case study using accelerometers, automated wearable cameras, diaries, and interviews. Journal of Activity, Sedentary and Sleep Behaviors 2023;2(1) View
  4. Harris E. Studies investigating link between screen time and autism must improve. Spectrum 2022 View
  5. Hudgins B, Hevel D, Maher J. Screen-based and non-screen-based sedentary behaviors are differentially associated with affective states in older adults. Psychology of Sport and Exercise 2023;67:102433 View
  6. Brosnan B, Wickham S, Meredith-Jones K, Galland B, Haszard J, Taylor R. Development of a Protocol for Objectively Measuring Digital Device Use in Youth. American Journal of Preventive Medicine 2023;65(5):923 View
  7. Zink J, Liu B, Yang C, Herrick K, Berrigan D. Differential associations between television viewing, computer use, and adiposity by age, gender, and race/ethnicity in United States youth: A cross‐sectionalNHANESanalysis. Pediatric Obesity 2023;18(10) View
  8. Tu K, Shen C, Luo Y, Mo Y, Jian L, Mei X, Zhang Q, Jin L, Qin H, Zabrodskaja A. The relationships between screen exposure, parent-child interactions and comprehension in 8-month-old infants: The mediating role of shared viewing and parent-child conversation. PLOS ONE 2024;19(1):e0296356 View
  9. Su N, Zhang Z, Chen J, Li W, Long Y. Assessing personal screen exposure with ever-changing contexts using wearable cameras and computer vision. Building and Environment 2024;261:111720 View
  10. Beynon A, Hendry D, Lund Rasmussen C, Rohl A, Eynon R, Thomas G, Stearne S, Campbell A, Harris C, Zabatiero J, Straker L. Measurement Method Options to Investigate Digital Screen Technology Use by Children and Adolescents: A Narrative Review. Children 2024;11(7):754 View
  11. Harnois-Leblanc S, McNealis V, Friedrich M, Bigras J, Van Hulst A, Nuyt A, Barnett T, Benedetti A, Mathieu M, Drapeau V, Sylvestre M, Henderson M. Role of Physical Activity and Sedentary Behaviors on Vascular and Myocardial Structure and Function in Type 1 Diabetes. The Journal of Pediatrics 2024;275:114196 View
  12. Brosnan B, Haszard J, Meredith-Jones K, Wickham S, Galland B, Taylor R. Screen Use at Bedtime and Sleep Duration and Quality Among Youths. JAMA Pediatrics 2024;178(11):1147 View