Cited by 13Impact of Technology on AdolescentsChild Development and Digital TechnologyCOVID-19 and Mental Health

The influence of screen time on behaviour and emotional problems among adolescents: a comparison study of the pre-, peak, and post-peak periods of COVID-19

Open access
Wiguna, Tjhin, Minayati, Kusuma, Kaligis, Fransiska, Teh, Sylvia Dominic, Sourander, Andre, Dirjayanto, Valerie Josephine, Krishnandita, Maria, Meriem, Nabella +1 more·2024·Heliyon

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has brought drastic changes globally in the past three years, one of which is an increase in the use of digital media or electronic devices. Previous studies have shown that long screen time may stimulate the neurobiological system, resulting in various behavioural and emotional problems; however, there is insufficient population-based evidence. This study aimed to investigate the influence of screen time on behavioural and emotional problems in Indonesian adolescents at three time points: the pre-, peak, and post-peak periods of COVID-19. Data were collected using an online community mental health survey. This survey incorporated the Youth Screen Time Survey to gauge screen time and the adolescent version of the Strengths and Difficulties Questionnaire to assess emotional, conduct, and prosocial behaviour problems. The participants were adolescents in secondary and senior high schools, with 337, 423, and 1,096 participants from the pre-, peak-, and post-pandemic periods, respectively, included in the analysis. Daily average screen time was compared, followed by the calculation of odds ratios for screen time and mental health problems during the different periods. The results demonstrated significant differences in adolescents' total daily average screen time between the different pandemic periods. Decreased screen time was associated with reduced emotional, conduct, and prosocial behaviour problems, especially during the peak period. Thus, psychoeducation on screen time in adolescents should be considered as a point of interest for mental well-being interventions.

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Crossref · 10.1016/j.heliyon.2023.e23325

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  • The effect size of the hypothesis was between 0.101 and 0.168, indicating a medium effect size.

    “The results show that the effect size of the hypothesis was between 0.101 and 0.168, indicating that there was a medium effect size (21, 46).”

    From Relationship of screen time with anxiety, depression, and sleep quality among adolescents: a cross-sectional study (2024) · cites this paper as [46]

    The Results tables report odds ratios, p-values, and SDQ scores, but the passages do not identify an effect size of 0.101–0.168 or classify it as medium. Searches for those numbers and for “effect size” found no passage addressing the claim. (LLM, conf=0.75)

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  • The model accurately depicts the empirical data and has adequate predictive power.

    “These findings suggest that the model accurately depicts the empirical data and has adequate predictive power (46).”

    From Relationship of screen time with anxiety, depression, and sleep quality among adolescents: a cross-sectional study (2024) · cites this paper as [46]

    The Materials and methods > Data analysis section describes Kruskal–Wallis comparisons and odds-ratio calculations, while the Results report associations between screen time and adolescent mental health outcomes. Neither section assesses whether a model fits empirical data or has predictive power (searched: the claim’s wording and ‘predictive power model fit empirical data’). (LLM, conf=0.76)

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1 of the 74 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. [18]United Nations Children's F. Rethinking Screen-Time in the Time of COVID-19 2020 UNICEF Official Global Insight Policy Press
  2. [50]Keating M. Furberg R.D. A methodological framework for crowdsourcing in research The 2013 Federal Committee on Statistical Methodology (FCSM) Research Conference 2013
  3. [75]Steinberg L.D. Adolescence 11 ed. 2017 McGraw-Hill Education New York

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Authors
Wiguna, T., Minayati, K., Kaligis, F., Teh, S. D., Sourander, A., Dirjayanto, V. J., Krishnandita, M., Meriem, N., & Gilbert, S.
Affiliations
  • University of Indonesia (ID)
  • Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID)
  • University of Turku (FI)
Corresponding author
Wiguna, Tjhin
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-01
Volume
10
Issue
1
Pages
e23325
ISSN
2405-8440 (ISSN-L)
OpenAlex
W4389365080
Cited by
13
References
74
Citations by year
2026: 5 · 2025: 5 · 2024: 3
FWCI
5.58
Type
journal article
Language
en
Open access
Locations
  • Heliyon (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • UTUPub (University of Turku) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Fakultas Kedokteran, Universitas Indonesia (KET-958/UN2.F1/ETIK/PPM.00.02/2022)
  • Universitas Indonesia (RST/HKP.05.00/2022, NKB-1258/UN2)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Education › Child Development and Digital Technology
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
Keywords
screen time, adolescents, COVID-19 pandemic, emotional problems, conduct problems, prosocial behavior, mental health, digital media use, Strengths and Difficulties Questionnaire, Indonesian adolescents

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