ArticleJMIR pediatrics and parenting2022
Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study.
Article in JMIR pediatrics and parenting, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neighborhood Environments and Changes in Obesity and in Lifestyle Behaviors Among Children Enrolled in Obesity Management Interventions: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Evaluation of the Square Eyes Model as a Screening Tool for Identifying Digital Technologies in Wearable Camera Images Among Children: Laboratory Study.Journal of medical Internet research · 2026Article
- Comparison of Capturing Children's Technology Use Using Wearable Camera and Fixed Room Video: Experimental Laboratory Study.JMIR pediatrics and parenting · 2026Article
- Using Wearable Video Cameras to Assess Screen Use Contexts in Preschool-Aged Children: Pilot Observational Study.JMIR pediatrics and parenting · 2026Article
- The influence of different processing rules on wearable camera data estimates of habitual screen time in children.Journal of activity, sedentary and sleep behaviors · 2026Article
- Article
- From dusk to dawn: examining how adolescents engage with digital media using objective measures of screen time in a repeated measures study.The international journal of behavioral nutrition and physical activity · 2025Observational
- Measurement Method Options to Investigate Digital Screen Technology Use by Children and Adolescents: A Narrative Review.Children (Basel, Switzerland) · 2024Review
- Article
- 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 · 2023Article
- 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 · 2022Article
- Physical activity and sedentary behaviour of female adolescents in Indonesia: A multi-method study on duration, pattern and context.Journal of exercise science and fitness · 2022Article
- 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 · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAutomated wearable cameras present a new opportunity to accurately assess human behavior. However, this technology is seldom used in the study of adolescent's screen exposure, and the field is reliant on poor-quality self-report data.
objectiveThis study aimed to examine adolescents' screen exposure by categorizing the type and context of behaviors using automated wearable cameras.
methodsAdolescents (mean age 15.4 years, SD 1.6 years; n=10) wore a camera for 3 school evenings and 1 weekend day. The camera captured an image every 10 seconds. Fieldwork was completed between February and March 2020, and data were analyzed in August 2020. Images were date and time stamped, and coded for screen type, content, and context.
resultsData representing 71,396 images were analyzed. Overall, 74.0% (52,842/71,396) of images contained screens and 16.8% (11,976/71,396) of images contained multiple screens. Most screen exposures involved television sets (25,950/71,396, 36.3%), smartphones (20,851/71,396, 29.2%), and laptop computers (15,309/71,396, 21.4%). The context of screen use differed by device type, although most screen exposures occurred at home (62,455/64,856, 96.3%) and with solitary engagement (54,430/64,856, 83.9%). The immediate after-school period saw high laptop computer use (4785/15,950, 30.0%), while smartphone use (2059/5320, 38.7%) peaked during prebedtime hours. Weekend screen exposure was high, with smartphone use (1070/1927, 55.5%) peaking in the early morning period and fluctuating throughout the day.
conclusionsThere was evidence for high screen use during the after-school and weekend period, mostly through solitary engagement, and within the home environment. The findings may inform the basis of larger studies aimed at examining screen exposure in free-living conditions.
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