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 accessAbstract
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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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)
Experimental — accuracy not yet measuredThe 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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“Pratama and Scarlatos [61] found that Indonesian students favoured smartphones the most among various electronic devices, regardless of their socioeconomic background.”
BackgroundSierra, J. O., Fonseca‐Pedrero, E., Riba, S. S. I., & Muñiz, J. (2016) · Anales de Psicología · doi:10.6018/analesps.32.3.225031 · Cited by 17 · cited 1× · see citing works
“However, adolescence can be a time of interpersonal and relational conflicts, leading to emotional and behavioural problems that persist until adulthood [7 – 9].”
BackgroundHelping children cope with the COVID-19 pandemic
Lambrese, J. V. (2020) · Cleveland Clinic Journal of Medicine · doi:10.3949/ccjm.87a.ccc010 · Cited by 14 · see citing works
Arterial Stiffness and Coronary Artery Disease
Kim, H. (2016) · EMJ Cardiology · doi:10.33590/emjcardiol/10312462 · Cited by 8 · cited 1× · see citing works
“…the feeling of boredom and stress at school or at home, or even to feel accepted by their peers, who can create social relationships with them through collaboration and competition in games, which reinforces wider and stronger social relationships that may strengthen pro-social behaviour [25,69].”
BackgroundInternet Screen Time and Related Factors: Threat to Adolescents in Indonesia
Kurniasanti, K., Firdaus, K. M., Christian, H., Wiguna, T., Wiwie, M., & Ismail, R. I. (2019) · Makara Human Behavior Studies in Asia · doi:10.7454/hubs.asia.1070819 · Cited by 6 · cited 1× · see citing works
“A study conducted in Indonesia in 2019 showed that 38 % of 200 adolescents spent more time on the Internet ( > 6 h per day), which is associated with higher screen time usage and sedentary behaviour [16].”
Background
Flagged first, then by citations
1 of the 74 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [18]United Nations Children's F. Rethinking Screen-Time in the Time of COVID-19 2020 UNICEF Official Global Insight Policy Press
- [50]Keating M. Furberg R.D. A methodological framework for crowdsourcing in research The 2013 Federal Committee on Statistical Methodology (FCSM) Research Conference 2013
- [75]Steinberg L.D. Adolescence 11 ed. 2017 McGraw-Hill Education New York
Cited by
Sorted by citations
Mohd Saat, N. Z., Hanawi, S. A., Hanafiah, H., Ahmad, M., Farah, N. M. F., & Abdul Rahman, N. A. A. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1459952 · Cited by 34 · see citing works
Mori, Y., Silwal, S., Yunus, W. M. A. W. M., & Sourander, A. (2026) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045261432532 · Cited by 7 · see citing works
Liebig, L., Gräfe, W., Berth, H., Birkás, B., Faubl, N., Zelko, E., Balogh, E., & Riemenschneider, H. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1545295 · Cited by 6 · see citing works
Sourander, A., Zhang, X., Dadras, O., Abio, A., Mishina, K. E., Ståhlberg, T., Mori, Y., Gilbert, S., Heinonen, E., & Gyllenberg, D. (2025) · Child and Adolescent Mental Health · doi:10.1111/camh.70040 · Cited by 5 · see citing works
Metapsychology of screen perception
Driscoll, J. P. (2025) · International Forum of Psychoanalysis · doi:10.1080/0803706x.2025.2532007 · Cited by 2 · see citing works
Șipoș, R., Văidean, T., Răpciuc, A.-M., Poetar, C.-R., & Predescu, E. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13237461 · Cited by 2 · see citing works
“The COVID-19 pandemic exacerbated this issue, increasing adolescents’ screen time from 2.7 to 4.1 h per day [9], with nearly 60% of adolescents exceeding 10 h of screen time during peak pandemic periods [10].”
InfluentialEffects of screen time on the social well-being of adolescents
Danmaisoro, H. B., & Mozayani, A. (2024) · Forensic Research & Criminology International Journal · doi:10.15406/frcij.2024.12.00412 · Cited by 1 · see citing works
Werling, A. M., Walitza, S., & Drechsler, R. (2025) · Healthcare · doi:10.3390/healthcare13162026
“Media use varied considerably between different time periods of the pandemic, with higher media time during peak incidence periods [70].”
Hu, Y., Da, S., An, Y., Ao, L., & Yang, M. (2025) · Journal of Child and Adolescent Mental Health · doi:10.2989/17280583.2025.2546808
“Grade 8 is a period characterised by significant polarisation in academic performance, moral development, and behavioural norms, and is also a peak period for psychological and behavioural issues (Chen et al., 2023; Wiguna et al., 2023).”
Impact of Internet Use, Digitalisation, Devices on Mental Health
Zăvăleanu, M., Stepan, A.-R., Cosma, G., & Udriștioiu, M. T. (2026) · CSR, sustainability, ethics & governance · doi:10.1007/978-3-032-00086-6_2
Branquinho, L., Forte, P. M., Valente, N., de França, E., Venâncio, T. F., dos Santos, R. T., & Ferraz, J. E. T. A. R. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1014974
Meral, Y., Açıkgöz, S., & Ermis, D. K. (2026) · The Educational and Developmental Psychologist · doi:10.1080/20590776.2026.2656211
“…literature linking increased screen use with increased internalising and externalising disorders (Abdoli et al., 2024, 2025; Eirich et al., 2022; Kauhanen et al., 2023; Lua et al., 2023) as well as decreased prosocial behaviour (Bäker & Schütz-Wilke, 2023; Wiguna et al., 2024) during the pandemic.”
Fernández, M. T. S., Pérez, B. M. G., Ruedas-Caletrio, J., & García, A. H. (2026) · Revista de Estudios Sociales · doi:10.7440/res.12010 · Cited by 1 · see citing works
- 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
- ORCID
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 10
- Issue
- 1
- Pages
- e23325
- ISSN
- 2405-8440 (ISSN-L)
- PMC
- PMC10755312
- 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
- gold
- doi.org
- Licence
- 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
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.
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