"I'm on it 24/7 at the moment": A qualitative examination of multi-screen viewing behaviours among UK 10-11 year olds
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BACKGROUND: Screen-viewing has been associated with increased body mass, increased risk of metabolic syndrome and lower psychological well-being among children and adolescents. There is a shortage of information about the nature of contemporary screen-viewing amongst children especially given the rapid advances in screen-viewing equipment technology and their widespread availability. Anecdotal evidence suggests that large numbers of children embrace the multi-functionality of current devices to engage in multiple forms of screen-viewing at the same time. In this paper we used qualitative methods to assess the nature and extent of multiple forms of screen-viewing in UK children. METHODS: Focus groups were conducted with 10-11 year old children (n = 63) who were recruited from five primary schools in Bristol, UK. Topics included the types of screen-viewing in which the participants engaged; whether the participants ever engaged in more than one form of screen-viewing at any time and if so the nature of this multiple viewing; reasons for engaging in multi-screen-viewing; the room within the house where multi-screen-viewing took place and the reasons for selecting that room. All focus groups were transcribed verbatim, anonymised and thematically analysed. RESULTS: Multi-screen viewing was a common behaviour. Although multi-screen viewing often involved watching TV, TV viewing was often the background behaviour with attention focussed towards a laptop, handheld device or smart-phone. There were three main reasons for engaging in multi-screen viewing: 1) tempering impatience that was associated with a programme loading; 2) multi-screen facilitated filtering out unwanted content such as advertisements; and 3) multi-screen viewing was perceived to be enjoyable. Multi-screen viewing occurred either in the child's bedroom or in the main living area of the home. There was considerable variability in the level and timing of viewing and this appeared to be a function of whether the participants attended after-school clubs. CONCLUSIONS: UK children regularly engage in two or more forms of screen-viewing at the same time. There are currently no means of assessing multi-screen viewing nor any interventions that specifically focus on reducing multi-screen viewing. To reduce children's overall screen-viewing we need to understand and then develop approaches to reduce multi-screen viewing among children.
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Other studies found that adolescents perceived multitasking as enjoyable, effortless and an integral part of life.
“Other studies have also found that adolescents perceived multitasking as enjoyable [43], effortless and an integral part of life [44].”
From “From the moment I wake up I will use it…every day, very hour”: a qualitative study on the patterns of adolescents’ mobile touch screen device use from adolescent and parent perspectives (2019) · cites this paper as [43]
The Discussion (page not available) describes simultaneous screen viewing as an embedded behaviour among the UK children studied, supporting ‘an integral part of life.’ It says access to multiple devices makes multi-screen viewing relatively easy, but does not report that participants perceived multitasking as effortless; the participants were also 10–11-year-olds, rather than adolescents generally. ‘Enjoyable’ is attached to a different citation in the citing sentence. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAssessing each screen use behavior independently and summing them may preclude accurate estimates of an individual's overall screen exposure if they are using multiple screens concurrently.
“this may preclude accurate estimates of an individual’s overall screen exposure if they are using multiple screens concurrently [17]”
From Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study (2022) · cites this paper as [17]
Smartphones may have been used to temper impatience or boredom whilst waiting for a game to load.
“Other possible explanations are that smartphones were used to temper impatience or boredom whilst waiting for a game to load [17,48]”
From Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study (2022) · cites this paper as [17]
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Yang, Z., & Peña, E. F. (2025) · Communication & Sport · doi:10.1177/21674795251333900 · Cited by 2 · see citing works
Health Promotion in Children and Adolescents through Sport and Physical Activities
Bianco, A. (2019) · MDPI eBooks · doi:10.3390/books978-3-03897-887-9 · Cited by 1 · see citing works
Relación entre la distribución del tiempo y las nuevas tecnologías en los adolescentes
Tapia, L. D. M. (2016) · doi:10.36443/10259/4608 · Cited by 1 · see citing works
Kostyrka‐Allchorne, K. (2018) · Open Access at Essex (University of Essex)
Motivating Factors of User Intention toward Social Television Use: Conceptual Model Development
Mohammed, I. A., Umar, S. H., & Thi, P. (2023) · International Journal of Media and Information Literacy · doi:10.13187/ijmil.2023.1.86
Contribuições dos jogos eletrônicos na formação de professores de educação física
Nunes, R. T., da Costa, A. Q., da Silva, A. P., da Silva, P. H. B., & de Melo, M. S. T. (2024) · Revista Brasileira de Ciências do Esporte · doi:10.1590/rbce.46.e20230091
- Authors
- Jago, R., Sebire, S. J., Gorely, T., Cillero, I., & Biddle, S. J.
- Affiliations
- University of Bristol (GB)
- Loughborough University (GB)
- University of the Basque Country (ES)
- Corresponding author
- Jago, Russell
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2011
- Volume
- 8
- Issue
- 1
- Pages
- 85
- ISSN
- 1479-5868 (ISSN-L)
- PMC
- PMC3224594
- OpenAlex
- W2130890031
- Cited by
- 66
- References
- 29
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 5 · 2022: 5 · 2021: 3 · 2020: 1 · 2019: 6 · 2018: 6 · 2017: 4 · 2016: 7 · 2015: 6 · 2014: 6 · 2013: 8 · 2012: 4
- FWCI
- 29.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Behavioral Nutrition and Physical Activity (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion)
- University of Southern Queensland ePrints (University of Southern Queensland) (acceptedVersion)
- Victoria University Research Repository (Victoria University) (submittedVersion)
- Communities in ADDI (Universidad del Pais Vasco) (submittedVersion, other-oa)
- Communities in ADDI (University of the Basque Country) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Hispana (submittedVersion, cc-by)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- National Institute for Health and Care Research (CDF-2009-02-14)
- University of Bristol
- Topics
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Sociology and Political Science › Multimedia Communication and Technology
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- screen viewing, children, television viewing, mobile devices, smartphones, notebooks, after-school clubs, screen time reduction, childhood obesity, elementary school students
- MeSH terms
- Attitude, Child, Child Behavior, Choice Behavior, Computers, Female, United Kingdom, Health Promotion, Humans, Male, Television, Focus Groups, Sedentary Behavior, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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