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Methodology to Derive Objective Screen-State from Smartphones: A SMART Platform Study

Author

Listed:
  • Tarun Reddy Katapally

    (Johnson Shoyama Graduate School of Public Policy, University of Regina, 2155 College Ave, Regina, SK S4M0A1, Canada
    Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, 101 Diefenbaker Pl, Saskatoon, SK S7N 5B8, Canada
    College of Medicine, Health Science Building, 107 Wiggins Road, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada)

  • Luan Manh Chu

    (College of Medicine, Health Science Building, 107 Wiggins Road, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
    Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, 104 Clinic Place, PO Box 23, Saskatoon, SK S7N 2Z4, Canada)

Abstract

Time on screens (screen time) on multiple digital devices (computers, mobile phones, tablets, television screens, etc.) due to varied motivations (work, leisure, entertainment, gaming, etc.) has become an integral part of population behaviour. However, a significant evidence gap exists in screen time accumulated over ubiquitous mobile devices such as smartphones. This study aimed to develop an accurate, reliable and replicable methodology to derive objective screen time (i.e., screen-state) from all types of citizen-owned smartphones. A convenience sample of 538 adults (≥18 years) from two largest urban centres in Saskatchewan, Canada (Regina and Saskatoon) was recruited in 2017 and 2018. Participants used a custom-built smartphone application to provide objective and subjective data. A novel methodology was developed to derive objective screen-state, and these data were compared with subjective measures. The findings showed that objective screen-state from smartphones can be derived and assessed across a range of cut-points that take into consideration varied measurement errors. When objective measures were compared with subjective reporting, the results indicated that participants consistently underreported screen time. This study not only provides a methodology to derive objective screen-state from ubiquitous mobile devices such as smartphones but also emphasises the need to capture context via subjective measures.

Suggested Citation

  • Tarun Reddy Katapally & Luan Manh Chu, 2019. "Methodology to Derive Objective Screen-State from Smartphones: A SMART Platform Study," IJERPH, MDPI, vol. 16(13), pages 1-13, June.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2275-:d:243491
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    Citations

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    Cited by:

    1. Zekun Zhou & Duo Yin & Quan Gao, 2020. "Sense of Presence and Subjective Well-Being in Online Pet Watching: The Moderation Role of Loneliness and Perceived Stress," IJERPH, MDPI, vol. 17(23), pages 1-20, December.
    2. Moisés Grimaldi-Puyana & José María Fernández-Batanero & Curtis Fennell & Borja Sañudo, 2020. "Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
    3. Alex V. Teixeira & Denis Alcides Rezende, 2023. "A Multidimensional Information Management Framework for Strategic Digital Cities: A Comparative Analysis of Canada and Brazil," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 107-121, March.
    4. Curtis Fennell & Thomas Eremus & Moisés Grimaldi Puyana & Borja Sañudo, 2022. "The Importance of Physical Activity to Augment Mood during COVID-19 Lockdown," IJERPH, MDPI, vol. 19(3), pages 1-11, January.

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