Demographic Influences on Screen Time: Impacts on Academic Performance and Mental Health
DOI:
https://doi.org/10.38035/ijphs.v2i4.700Keywords:
Screen time, demographics, academic performance, mental healthAbstract
This study examines the relationship between demographic factors—age, gender, and education level—and various aspects of screen time usage, including average screen time, academic performance, and associated health impacts such as anxiety and social life interactions. Using ANOVA, we found significant differences in average screen time based on age and education level, with younger and more educated individuals tending to engage more with digital devices for studying. Notably, academic performance was influenced by education level, while anxiety and social life were significantly affected by both education and age. These findings underscore the importance of considering demographic factors in understanding screen time behaviors. Future research should explore longitudinal effects and potential interventions to mitigate negative outcomes.
References
Agasisti, T., Falzetti, P., & Soncin, M. (2020). School principals’ managerial behaviours and students’ achievement. International Journal of Educational Management, 34(5), 937–951. https://doi.org/10.1108/IJEM-11-2018-0350
Al-Ali, S., & Ahmed, A. (2015). E-textbooks in ESL classrooms: are learners on board? Learning and Teaching in Higher Education: Gulf Perspectives, 12(2), 3–22. https://doi.org/10.18538/lthe.v12.n2.222
Ali, N. A., Feroz, A., Akber, N., & Khoja, A. (2024). Students’ psychological state and its associated factors during an outbreak of COVID-19 in Pakistan: a web-based survey. Arab Gulf Journal of Scientific Research, 42(2), 388–405. https://doi.org/10.1108/AGJSR-12-2022-0309
AlZahrani, W. I., & Oommen, A. (2023). Role of vitamin D in the academic performance of health sciences students in Saudi Arabia. Arab Gulf Journal of Scientific Research, 41(1), 40–47. https://doi.org/10.1108/AGJSR-04-2022-0028
Ayandele, O., Popoola, O. A., & Oladiji, T. O. (2020). Addictive use of smartphone, depression and anxiety among female undergraduates in Nigeria: a cross-sectional study. Journal of Health Research, 34(5), 443–453. https://doi.org/10.1108/JHR-10-2019-0225
Baj-Rogowska, A. (2023). Antecedents and outcomes of social media fatigue. Information Technology & People, 36(8), 226–254. https://doi.org/10.1108/ITP-03-2022-0207
Boonroungrut, C., & Huang, F. (2021). Reforming theory of planned behavior to measure money management intention: a validation study among student debtors. RAUSP
Bull, R., Romanowicz, J., Jennings, N., Laskari, M., Stuart, G., & Everitt, D. (2018). Competing priorities: lessons in engaging students to achieve energy savings in universities. International Journal of Sustainability in Higher Education, 19(7), 1220–1238. https://doi.org/10.1108/IJSHE-09-2017-0157
Chai, C., Zhou, Z., Yin, W., Hurwitz, D. S., & Zhang, S. (2022). Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance. Journal of Intelligent and Connected Vehicles, 5(2), 49–62. https://doi.org/10.1108/JICV-03-2021-0003
Chen, C., Landa, S., Padilla, A., & Yur-Austin, J. (2021). Learners’ experience and needs in online environments: adopting agility in teaching. Journal of Research in Innovative Teaching & Learning, 14(1), 18–31. https://doi.org/10.1108/JRIT-11-2020-0073
Chongchitpaisan, W., Wiwatanadate, P., Narkpongphun, A., Tanprawate, S., & Siripon, N. (2020). Sleep loss among Thai high school students smartphone users affected by smartphone electromagnetic pollution. Journal of Health Research, 34(4), 317–327. https://doi.org/10.1108/JHR-05-2019-0104
Cressey, J. (2019). Developing culturally responsive social, emotional, and behavioral supports. Journal of Research in Innovative Teaching & Learning, 12(1), 53–67. https://doi.org/10.1108/JRIT-01-2019-0015
David, P., Zulkafli, I. S., Mohd Zamin, R., Samberkar, S., Wong, K. H., Naidu, M., & Das, S. (2024). Video as an interventional tool for bridging the gap in anatomy knowledge of medical postgraduates. Arab Gulf Journal of Scientific Research, ahead-of-print(ahead-of-print). https://doi.org/10.1108/AGJSR-03-2023-0097
Dreisiebner, S., Polzer, A. K., Robinson, L., Libbrecht, P., Boté-Vericad, J.-J., Urbano, C., Mandl, T., Vilar, P., Žumer, M., Juric, M., Pehar, F., & Stri?evi?, I. (2021). Facilitation of information literacy through a multilingual MOOC considering cultural aspects. Journal of Documentation, 77(3), 777–797. https://doi.org/10.1108/JD-06-2020-0099
Errabo, D. D., dela Rosa, A., & Gonzales, L. J. M. (2024). Optimizing differentiated podcasts to promote students’ self-regulation and engagement, self-efficacy and performance in asynchronous learning. Journal of Research in Innovative Teaching & Learning, 17(2), 368–390. https://doi.org/10.1108/JRIT-02-2024-0039
Ghosh, C., Gilson, P., & Rakotomavo, M. (2020). Student managed fund (SMF) at the University of Connecticut. Managerial Finance, 46(4), 548–564. https://doi.org/10.1108/MF-09-2018-0426
Gom-os, D. F. K., & Yong, K. Y. (2022). An empirical study on the use of a facial emotion recognition system in guidance counseling utilizing the technology acceptance model and the general comfort questionnaire. Applied Computing and Informatics, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ACI-06-2022-0154
Habiba, A., Isnanto, R. R., & Suseno, J. E. (2023). The Effect of Chi Square Feature Selection on the Naïve Bayes Algorithm on the Analysis of Indonesian Society's Sentiment About Face-to-Face Learning During the Covid-19 Pandemic. JST (Jurnal Sains Dan Teknologi), 12(1), 111-116.
Hamdan, H. (2023). Functions of student code-switching in a Bruneian classroom. Southeast Asia: A Multidisciplinary Journal, 23(1), 55–69. https://doi.org/10.1108/SEAMJ-01-2023-0007
Hesen, R., Wals, A. E. J., & Tauritz, R. L. (2022). Creating a sense of community and space for subjectification in an online course on sustainability education during times of physical distancing. International Journal of Sustainability in Higher Education, 23(8), 85–104. https://doi.org/10.1108/IJSHE-07-2021-0270
Hilletofth, P., Sequeira, M., & Tate, W. (2021). Fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions. Industrial Management & Data Systems, 121(5), 965–992. https://doi.org/10.1108/IMDS-05-2020-0290
Humanitarian Logistics and Supply Chain Management, 14(2), 171–180. https://doi.org/10.1108/JHLSCM-04-2022-0047
Ishtaiwa, F. F., & Shana, Z. (2011). The use of interactive whiteboard (IWB) by pre-service teachers to enhance Arabic language teaching and learning. Learning and Teaching in Higher Education: Gulf Perspectives, 8(2), 17–34. https://doi.org/10.18538/lthe.v8.n2.65
Ishtaiwa, F. F., & Shana, Z. (2011). The use of interactive whiteboard (IWB) by pre-service teachers to enhance Arabic language teaching and learningJutz, C., Griese, K.-M., Rau, H., Schoppengerd, J., & Prehn, I. (2024). Of study enthusiasts and homebirds: students’ everyday mobility and sustainability dilemmas in online higher education. International Journal of Sustainability in Higher Education, 25(9), 195–212. https://doi.org/10.1108/IJSHE-07-2023-0272
Kaur, P., Dhir, A., Talwar, S., & Alrasheedy, M. (2021). Systematic literature review of food waste in educational institutions: setting the research agenda. International Journal of Contemporary Hospitality Management, 33(4), 1160–1193. https://doi.org/10.1108/IJCHM-07-2020-0672
Kuhnel, M., Seiler, L., Honal, A., & Ifenthaler, D. (2018). Mobile learning analytics in higher education: usability testing and evaluation of an app prototype. Interactive Technology and Smart Education, 15(4), 332–347. https://doi.org/10.1108/ITSE-04-2018-0024
Lau, F. M. F., & Sou, G. (2018). Assessment for learning: Hong Kong needs territory-wide system assessment (TSA) or not. Public Administration and Policy, 21(1), 68–84. https://doi.org/10.1108/PAP-06-2018-004
Leslie, H. J. (2020). Trifecta of Student Engagement. Journal of Research in Innovative Teaching & Learning, 13(2), 149–173. https://doi.org/10.1108/JRIT-10-2018-0024
MacLeod, C. (2015). iPads in the classroom: trials in a technical college in Qatar. Learning and Teaching in Higher Education: Gulf Perspectives, 12(1), 62–95. https://doi.org/10.18538/lthe.v12.n1.170
Management Journal, 56(1), 24–37. https://doi.org/10.1108/RAUSP-02-2019-0029
Meland, P. H., Bernsmed, K., Frøystad, C., Li, J., & Sindre, G. (2019). An experimental evaluation of bow-tie analysis for security. Information & Computer Security, 27(4), 536–561. https://doi.org/10.1108/ICS-11-2018-0132
Moreno Rocha, O. Y., Pinto, P., Consuegra, M. C., Cifuentes, S., & Ulloa, J. H. (2024). Mobile ultrasound vascular assessment (MUVA) for remote and conflict areas. Journal of
Morfaki, C., & Skotis, A. (2023). Academic online learning experience during COVID-19 - a systematic literature review based on personality traits. Higher Education, Skills and Work-Based Learning, 13(4), 697–719. https://doi.org/10.1108/HESWBL-03-2022-0062
Mostafa, M., Sotelo, M., Honsberger, T., Honsberger, C., Brooker Lozott, E., & Shanok, N. (2024). The impact of ASPECTSS-based design intervention in autism school design: a case study. Archnet-IJAR: International Journal of Architectural Research, 18(2), 318–339. https://doi.org/10.1108/ARCH-11-2022-0258
Mourelatos, E., & Manganari, E. (2023). Resilience, vulnerability and personality effects on social commerce intentions: the COVID-19 era. Young Consumers, 24(3), 288–308. https://doi.org/10.1108/YC-04-2022-1515
Ola, B. A., & Morakinyo, O. (2010). Study habits among Nigerian secondary school students with brain fag syndrome. Mental Illness, 2(1), 6–10. https://doi.org/10.4081/mi.2010.e2
Priyashantha, A. K. H., Pratheesh, N., & Pretheeba, P. (2022). Parental perception of distance learning and homeschooling during COVID-19 pandemic: an empirical analysis in Sri Lanka. Asian Association of Open Universities Journal, 17(3), 261–276. https://doi.org/10.1108/AAOUJ-05-2022-0073
Rakús, M., Farkaš, P., & Páleník, T. (2021). Modeling of mobile channels using TIMS in IT education. Applied Computing and Informatics, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ACI-04-2021-0089
Rakús, M., Farkaš, P., & Páleník, T. (2021). Modeling of mobile channels using TIMS in IT education. Applied Computing and Informatics, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ACI-04-2021-0089
Roberts, K., Benson, A., & Mills, J. (2021). E-textbook technology: Are instructors using it and what is the impact on student learning? Journal of Research in Innovative Teaching & Learning, 14(3), 329–344. https://doi.org/10.1108/JRIT-04-2021-0028
Sequeira, M., Hilletofth, P., & Adlemo, A. (2021). AHP-based support tools for initial screening of manufacturing reshoring decisions. Journal of Global Operations and Strategic Sourcing, 14(3), 502–527. https://doi.org/10.1108/JGOSS-07-2020-0037
Shawky, A., Elbiblawy, E., & Maresch, G. (2021). Spatial ability differences between students with a math learning disability and their other normal colleagues. Journal of Humanities and Applied Social Sciences, 3(3), 182–198. https://doi.org/10.1108/JHASS-01-2020-0016
Srivastava, P., Sehgal, T., Jain, R., Kaur, P., & Luukela-Tandon, A. (2024). Knowledge management during emergency remote teaching: an interpretative phenomenological analysis of the transition experiences of faculty members. Journal of Knowledge Management, 28(11), 78–105. https://doi.org/10.1108/JKM-02-2023-0112
Staugaard, S. R., & Rosenberg, N. K. (2011). Processing of emotional faces in social phobia. Mental Illness, 3(1), 14–20. https://doi.org/10.4081/mi.2011.e5
Sulaksono, N., Adi, K., Isnanto, R., & Warsito, B. (2023, April). Uretery Stone Detection with CT Scan Image Contrast Analysis. In Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics: ICEBEHI 2022, 5–6 October, Surabaya, Indonesia (pp. 163-171). Singapore: Springer Nature Singapore.
Tanglakmankhong, K., Hampstead, B. M., Ploutz-Snyder, R. J., & Potempa, K. (2022). Cognitive screening assessment in Thai older adults: a prospective study of the reliability and validity of the Abbreviated Mental Test. Journal of Health Research, 36(1), 99–109. https://doi.org/10.1108/JHR-02-2020-0049
Tattersall Wallin, E. (2022). Audiobook routines: identifying everyday reading by listening practices amongst young adults. Journal of Documentation, 78(7), 266–281. https://doi.org/10.1108/JD-06-2021-0116
Thakker, S. V., Parab, J., & Kaisare, S. (2021). Systematic research of e-learning platforms for solving challenges faced by Indian engineering students. Asian Association of Open Universities Journal, 16(1), 1–19. https://doi.org/10.1108/AAOUJ-09-2020-0078
Uehara, T., & Ishige, Y. (2015). Bipolar mood tendency and frontal activation using a multichannel near infrared spectroscopy. Mental Illness, 7(2), 36–41. https://doi.org/10.1108/mi.2015.5767
Umemiya, N., Sugimura, M., Kosaikanont, R., Nordin, N. M., & Ahmad, A. L. (2024). Impact of a consortium-based student mobility programme: The case of AIMS (Asian International Mobility for students). Journal of International Cooperation in Education, 26(1), 49–66. https://doi.org/10.1108/JICE-08-2023-0020
van de Ven, N., Bogaert, A., Serlie, A., Brandt, M. J., & Denissen, J. J. A. (2017). Personality perception based on LinkedIn profiles. Journal of Managerial Psychology, 32(6), 418–429. https://doi.org/10.1108/JMP-07-2016-0220
Westermann, F., Doll, L., Duprés, M., Späth, S., & Schweizer-Ries, P. M. (2021). Overcoming physical distancing in online communities to create human spaces for societal transformations. Journal of Work-Applied Management, 13(2), 197–214. https://doi.org/10.1108/JWAM-03-2021-0023
Wright, N. S., Redding, R., & Eltom, M. (2007). Online Quizzes: A Self-Conscious Exploration of Strategic Trade-offs in the Middle East. Learning and Teaching in Higher Education: Gulf Perspectives, 4(2), 2–10. https://doi.org/10.18538/lthe.v4.n2.05
Yin, K., Cao, Y., Zhou, S., & Lv, X. (2022). Research on optimization of index system design and its inspection method: data quality diagnosis, index classification and stratification. Marine Economics and Management, 5(2), 105–146. https://doi.org/10.1108/MAEM-05-2022-0005
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Diyanshi Patel, Pooja Vyas, Dhara Patel, Aryan Shah, Rahul Chauhan, Andino Maseleno, R Rizal Isnanto
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish their manuscripts in this journal agree to the following conditions:
- The copyright on each article belongs to the author(s).
- The author acknowledges that the International Journal of Psycology and Healt Science (IJPHS) has the right to be the first to publish with a Creative Commons Attribution 4.0 International license (Attribution 4.0 International (CC BY 4.0).
- Authors can submit articles separately, arrange for the non-exclusive distribution of manuscripts that have been published in this journal into other versions (e.g., sent to the author's institutional repository, publication into books, etc.), by acknowledging that the manuscript has been published for the first time in the IJPHS.