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Record W6906399342 · doi:10.17605/osf.io/e8p4y

Effects of health promotion interventions targeting digital wellbeing among students in higher education institutions : a rapid review

2025· other· en· W6906399342 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHigher educationPsychological interventionDigital healthCitationHealth promotionPromotion (chess)eHealthAction (physics)

Abstract

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Citation Van den Akker, O. R., Peters, G. Y., Bakker, C., Carlsson, R., Coles, N. A., Corker, K. S., Feldman, G., , Moreau, D., Nordström, T., Pfeiffer, N., Pickering, J. S., Riegelman, A., Topor, M., Veggel, N., Yeung, S., Mellor, D., & Pfeiffer, N. Generalized Systematic Review Registration Form. MetaArXiv.. https://doi.org/g5fj. Funding This project is financed by a research grant from Fonds de recherche du Québec / Société et Culture Program : research project [Projet de recherche] / concerted action [Actions concertées] / research program on screen use and health in young adults Grant number : 2024-2025 - 0UER - 359030 Funding period : 2024-2027 Background This rapid review aims to appraise, with a rigorous and critical approach, the state of scientific evidence on interventions to promote balanced screen use for post-secondary students. By promoting digital well-being, we mean anything that promotes a person's state of mental, physical and emotional health in relation to their use of technologies (smartphones, digital tablets, etc.) and digital media (e.g. Facebook, Instagram, Tik Tok). The term digital well-being, which will be used interchangeably with “balanced screen use” in this research project, may vary from person to person (Santé et bien-être numérique [Digital Health and Wellbeing], s. d.). In recent years, the use of screens has become an important, if not widespread, part of everyday life for students in higher education institutions (at college and university level), whether to pursue their studies, entertain themselves, develop and maintain social relationships or access the job market (Lozano-Blasco et al., 2022; Romero-Lopez et al., 2021; Saletti et al., 2021; 1). Consequently, a balanced use of screens is identified as a major challenge by these students (Di Genova, 2022; DiMartino et al., 2020; Saletti et al., 2021; Shankland et al., 2022), whose average age in Quebec varies between 18 and 25, depending on their academic level (Di Genova, 2022). These students are among the groups most at risk of experiencing harm from intensive screen use (Lozano-Blasco et al., 2022; Romero-Lopez et al., 2021; World Health Organization, 2015). Indeed, although balanced screen use has been associated with an increase in subjective well-being (Kardefelt-Winther, 2017, Rayan, 2017), prolonged, excessive use and the feelings associated with certain sites or uses can lead to significant physical and mental health harms (Gouvernement du Québec, 2022; Institut national de santé publique, 2021), as well as academic difficulties, relationship problems, social isolation and feelings of loneliness (Institut national de santé publique, 2021; Shi et al., 2022). These unwanted effects entail considerable costs for society, elevating screen use to the status of a “public health risk” (World Health Organization, 2015). While interventions to reduce the harm associated with excessive screen use are increasingly well documented, information on how to promote balanced screen use is much less developed (Saletti et al., 2021). This rapid review protocol on interventions to promote the digital wellbeing of higher education students or post-secondary students is part of a larger research project whose main purpose is creating a practice guide for promoting digital well-being among students in higher education in Québec, Canada. Other methodologies will be employed such as ongoing consultations with digital health experts who are also members of the research group, focus groups with various participants (e.g.: professionals and students) and a three-round Delphi with experts in digital wellbeing. This rapid review targets not only practices that are recognized as exemplary, but also those that are promising and emerging, especially considering that relatively few empirical research has focused on the promotion of balanced screen use. The results of this rapid review ultimately will be triangulated with data stemming from other research methodologies within the larger research program. Primary research questions 1.1 What are the effective health promotion interventions targeting digital wellbeing (or balanced screen use) among students in higher education institutions? 1.2 How effective are various health promotion interventions targeting digital wellbeing (or balanced screen use) among students in higher education institutions? 1.3 What are the common elements in the effectiveness of the interventions identified for balanced screen use among students attending higher education institutions, and the level of scientific evidence that can be attributed to them, in comparison with other approaches or in comparison with no intervention at all? 1.4 What variables are used to measure interventions promoting balanced screen use? 1.5 Is the effectiveness of interventions to promote balanced screen use maintained over time? Secondary research questions 1.6 What theoretical frameworks or approaches underpin these interventions? 1.7 Do the results differ according to the characteristics of students attending higher education institutions (gender, age, type of study, health problems, etc.)? References Di Genova L. La santé mentale des étudiants sur les campus canadiens: Les effets persistants de laCOVID-19. 2022; DiMartino NA, Schultz SM. Students and Perceived Screen Time: How Often Are Students in a Rural School District Looking at Screened Devices? Rural Special Education Quarterly. 2020;39(3):128‑37. Garritty C, Hamel C, Trivella M, Gartlehner G, et al. Cochrane Rapid Reviews Methods Group. Updated recommendations for the Cochrane rapid review methods guidance for rapid reviews of effectiveness. BMJ. 2024 Feb 6;384:e076335. Kardefelt-Winther D. How does the time children spend using digital technology impact their mental well-being, social relationships and physical activity?: an evidence-focused literature review. 2017; Lozano-Blasco R, Robres AQ, Sanchez AS. Internet addiction in young adults: A meta-analysis and systematic review. Computers in Human Behavior. 2022;107201. Organisation mondiale de la santé. Public health implications of excessive use of the Internet, computers, smartphones and similar electronic devices: Meeting report. [Internet]. 2015. Disponible sur: http://apps.who.int/iris/bitstream/10665/184264/1/9789241509367_eng.pdf Rayan A, Dadoul AM, Jabareen H, Sulieman Z, Alzayyat A, Baker O. Internet use among university students in south West Bank: prevalence, advantages and disadvantages, and association with psychological health. International Journal of Mental Health and Addiction. 2017;15:118‑29. Romero-Lopez M, Pichardo C, De Hoces I, Garcia-Berben T. Problematic Internet use among university students and its relationship with social skills. Brain Sciences. 2021;11(10):1301. Saletti SMR, Van den Broucke S, Chau C. The effectiveness of prevention programs for problematic Internet use in adolescents and youths: A systematic review and meta-analysis. Cyberpsychology: Journal of Psychosocial Research on Cyberspace. 2021;15(2) Santé et bien-être numérique. C’est quoi le bien-être numérique ? https://sben.ca/ Shankland R, Gayet C, Richeux N. La santé mentale des étudiants: Approches innovantes en prevention et dans l’accompagnement. Elsevier Health Sciences; 2022. Stevens A, Hersi M, Garritty C on behalf of the Cochrane Rapid Reviews Methods Group, et al.Rapid review method series: interim guidance for the reporting of rapid reviews BMJ Evidence-Based Medicine 2025;30:118-123.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.432
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
Admission routes1
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