Flow Experience Is a Key Factor in the Likelihood of Adolescents’ Problematic TikTok Use: The Moderating Role of Active Parental Mediation
Open accessAbstract
TikTok use and overuse have grown rapidly in recent years among adolescents. However, risk factors for problematic TikTok use are still largely unknown. In addition, drawing on the flow theory and parental mediation theory, this study aims to examine how adolescents’ perceptions of enjoyment, concentration, and time distortion affect their problematic TikTok use behavior. Further, we examined the moderating effect of active parental mediation. An online survey in China received responses from a sample of 633 adolescents between the ages of 10 and 19 (males: 51.2%; Mage = 15.00; DS = 0.975). Our findings showed that enjoyment was positively associated with concentration and, in turn, with time distortion. We also found significant positive effects of concentration and time distortion on problematic TikTok use. The effect of enjoyment, however, was non-significant, indicating that hedonic mood was not associated with problematic TikTok use. Out of the three moderated relationships examined in this study, only active parental control was found to be a significant moderator for the relationship between concentration and problematic TikTok use. The significant negative moderation result showed that as active parental mediation grows, the impact of adolescents’ concentration on problematic TikTok use is reduced. Future research directions and implications are discussed.
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These aspects were later linked to the onset of problematic TikTok use.
“These aspects were later linked to the onset of PTU, while parental control emerged as a protective factor in the correlation between concentration issues and PTU [84].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [84]
The Results (§4.2, page unavailable) link concentration and time distortion to problematic TikTok use, and the Discussion (§5, page unavailable) says active parental mediation weakens the concentration–use relationship. The study does not establish when problematic use begins, and its measure is concentration while using TikTok, not concentration difficulties generally. (LLM, conf=0.82)
Experimental — accuracy not yet measuredSix studies used only standardized tests in their original or adapted form.
“Six studies used only standardized tests (in their original or adapted form) [73, 78, 79, 83–85]”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [84]
The analyzed effects of TikTok use included risk of PTU.
“The analyzed effects encompassed lower life satisfaction [79], increased depressive symptoms [68], higher levels of anger and loneliness [72], risk of PTU [69, 83, 84], increased body image concerns, and self-esteem issues [42, 70, 80], as well as the rapid spreading of functional tic-like behaviors [76, 77].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [84]
Parental control emerged as a protective factor in the correlation between concentration issues and problematic TikTok use.
“while parental control emerged as a protective factor in the correlation between concentration issues and PTU [84].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [84]
The immersive state of flow has been identified as a significant factor influencing addictive behaviors related to TikTok.
“This immersive state has been identified as a significant factor influencing addictive behaviors related to TikTok [83] as it can lead to a disregard for the immediate surroundings and induce time distortion, both of which correlate with PTU severity [84].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [84]
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Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459 · see citing works
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541 · see citing works
The Ecology of Human Development: Experiments by Nature and Design
Bronfenbrenner, U. (1979) · Harvard University Press eBooks · doi:10.4159/9780674028845 · Cited by 26,084 · see citing works
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom Companion: Business · doi:10.1007/978-3-030-80519-7 · Cited by 10,343 · see citing works
Accounting for common method variance in cross-sectional research designs
Lindell, M. K., & Whitney, D. J. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.1.114 · Cited by 8,490 · see citing works
Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009) · MIS Quarterly · doi:10.2307/20650284 · Cited by 4,944 · see citing works
Issues and opinion on structural equation modeling
Chin, W. W. (1998) · Journal of the Association for Information Systems · doi:10.5555/290231.290235 · Cited by 4,579 · see citing works
How many subjects does it take to do a regression analysis
Green, S. B. (1991) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2603_7 · Cited by 3,916 · cited 2× · see citing works
“This sample size was adequate as it met Green’s (1991) [92] criteria for sample calculation for an unknown population.”
BackgroundMethodHeuristics versus statistics in discriminant validity testing: a comparison of four procedures
Franke, G. R., & Sarstedt, M. (2019) · Internet Research · doi:10.1108/intr-12-2017-0515 · Cited by 2,211 · see citing works
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.030 · Cited by 1,689 · see citing works
Flow and the Foundations of Positive Psychology: The Collected Works of Mihaly Csikszentmihalyi
Csikszentmihalyi, M. (2014) · doi:10.1007/978-94-017-9088-8 · Cited by 1,653 · see citing works
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022) · Psychology and Marketing · doi:10.1002/mar.21640 · Cited by 1,633 · see citing works
Parental Mediation of Children's Internet Use
Livingstone, S., & Helsper, E. J. (2008) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838150802437396 · Cited by 1,352 · cited 1× · see citing works
“However, as Internet usage has become more common among adolescents, some scholars have highlighted that the existing method needs to be extended to further address parental strategies regarding children’s Internet use behavior [57].”
BackgroundNELSON, R. R., TODD, P. A., & WIXOM, B. H. (2005) · Journal of Management Information Systems · doi:10.1080/07421222.2005.11045823 · Cited by 998 · see citing works
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014) · Information & Management · doi:10.1016/j.im.2014.07.005 · Cited by 856 · see citing works
Livingstone, S., Ólafsson, K., Helsper, E. J., Lupiáñez‐Villanueva, F., Veltri, G., & Folkvord, F. (2017) · Journal of Communication · doi:10.1111/jcom.12277 · Cited by 776 · see citing works
(1975) · Journal of Humanistic Psychology · doi:10.1177/002216787501500306 · Cited by 735 · see citing works
Podsakoff, P. M., MACKENZIE, S. B., & Podsakoff, N. P. (2016) · Organizational Research Methods · doi:10.1177/1094428115624965 · Cited by 725 · see citing works
Identifying and Explaining the Relationship Between Parental Mediation and Children's Aggression
Nathanson, A. I. (1999) · Communication Research · doi:10.1177/009365099026002002 · Cited by 525 · see citing works
The impact of virtual reality (VR) technology on sport spectators' flow experience and satisfaction
Kim, D., & Ko, Y. J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.040 · Cited by 512 · see citing works
Sun, Y., & Zhang, Y. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106699 · Cited by 509 · see citing works
Omar, B., & Dequan, W. (2020) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v14i04.12429 · Cited by 493 · cited 1× · see citing works
“It has been gradually noticed by scholars [3,5,12], but it still receives limited attention [2,5,22,23].”
BackgroundSelf-citationExploring short-form video application addiction: socio-technical and attachment perspectives
Zhang, X., Wu, Y., & Liu, S. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101243 · Cited by 469 · see citing works
Developing scales to measure parental mediation of young children's internet use
Nikken, P., & Jansz, J. (2013) · Learning Media and Technology · doi:10.1080/17439884.2013.782038 · Cited by 414 · see citing works
Nikken, P., & Jansz, J. (2006) · Learning Media and Technology · doi:10.1080/17439880600756803 · Cited by 404 · see citing works
Optimal experience of flow enhanced by telepresence: evidence from social media use
Pelet, J.-É., Ettis, S., & Cowart, K. (2017) · Information & Management · doi:10.1016/j.im.2016.05.001 · Cited by 354 · cited 1× · see citing works
“The immersed individuals tend to experience cognitive absorption as they concentrate [64] on the content, which distorts their perception of time.”
BackgroundParent and Child Perspectives on the Presence and Meaning of Parental Television Mediation
Nathanson, A. I. (2001) · Journal of Broadcasting & Electronic Media · doi:10.1207/s15506878jobem4502_1 · Cited by 334 · see citing works
Khang, H., Kim, J. K., & Kim, Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.027 · Cited by 326 · see citing works
Valkenburg, P. M., Piotrowski, J. T., Hermanns, J. M. A., & de Leeuw, R. N. H. (2013) · Human Communication Research · doi:10.1111/hcre.12010 · Cited by 314 · see citing works
Research Note: Spreading Hate on TikTok
Weimann, G., & Masri, N. (2020) · Studies in Conflict and Terrorism · doi:10.1080/1057610x.2020.1780027 · Cited by 245 · see citing works
Brailovskaia, J., Schillack, H., & Margraf, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106511 · Cited by 244 · see citing works
Qin, Y., Omar, B., & Musetti, A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.932805 · Cited by 237 · see citing works
Self-citationUnderstanding WeChat users' liking behavior: An empirical study in China
Gan, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.002 · Cited by 217 · see citing works
Zhao, N., & Zhou, G. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.635546 · Cited by 210 · see citing works
Zaman, B., Nouwen, M., Vanattenhoven, J., de Ferrerre, E., & LOOY, J. V. (2016) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2015.1127240 · Cited by 176 · see citing works
Metacognitive beliefs in addictive behaviours: A systematic review
Hamonnière, T., & Varescon, I. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.05.018 · Cited by 176 · see citing works
Time Distortion for Expert and Novice Online Game Players
Rau, P.-L. P., Peng, S.-Y., & Yang, C.-C. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.396 · Cited by 171 · see citing works
Tian, X., Bi, X., & Chen, H. (2022) · Information Technology and People · doi:10.1108/itp-04-2020-0186 · Cited by 165 · see citing works
Research on the Causes of the “Tik Tok” App Becoming Popular and the Existing Problems
Xu, L., Yan, X., & Zhang, Z. (2019) · Journal of Advanced Management Science · doi:10.18178/joams.7.2.59-63 · Cited by 163 · see citing works
Exploring the mechanism of social media addiction: an empirical study from WeChat users
Cao, X., Gong, M., Yu, L., & Dai, B. (2020) · Internet Research · doi:10.1108/intr-08-2019-0347 · Cited by 158 · see citing works
Zhao, H., & Wagner, C. (2022) · Internet Research · doi:10.1108/intr-08-2021-0595 · Cited by 157 · see citing works
Experiencing flow with instant messaging and its facilitating role on creative behaviors
Zaman, M., Anandarajan, M., & Dai, Q. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.001 · Cited by 154 · see citing works
Kwak, K. T., Choi, S. K., & Lee, B. G. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.046 · Cited by 143 · see citing works
Servidio, R. C. (2019) · Current Psychology · doi:10.1007/s12144-019-00373-z · Cited by 142 · see citing works
Калмус, В., Blinka, L., & Ólafsson, K. (2013) · Children & Society · doi:10.1111/chso.12020 · Cited by 139 · see citing works
Malaysian Facebookers: Motives and addictive behaviours unraveled
Balakrishnan, V., & Shamim, A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.01.010 · Cited by 134 · see citing works
Smith, T. E., & Short, A. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2022.107259 · Cited by 134 · see citing works
Nielsen, P., Favez, N., Liddle, H. A., & Rigter, H. (2019) · Journal of Behavioral Addictions · doi:10.1556/2006.8.2019.61 · Cited by 133 · see citing works
Hwang, Y., Choi, I., Yum, J.-Y., & Jeong, S. (2017) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2016.0555 · Cited by 130 · see citing works
Exploring the relationship between smartphone activities, flow experience, and boredom in free time
Leung, L. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.030 · Cited by 123 · see citing works
Analysis on the “Douyin (Tiktok) Mania” Phenomenon Based on Recommendation Algorithms
Zhengwei, Z. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202123503029 · Cited by 123 · see citing works
Hefner, D., Knop, K., Schmitt, S., & Vorderer, P. (2018) · Media Psychology · doi:10.1080/15213269.2018.1433544 · Cited by 122 · see citing works
Connected and concerned: Variation in parents' online safety concerns
boyd, D., & Hargittai, E. (2013) · Policy & Internet · doi:10.1002/1944-2866.poi332 · Cited by 120 · see citing works
Shen, X., & Wang, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.012 · Cited by 119 · see citing works
Challenges in Internet Addiction Disorder: Is a Diagnosis Feasible or Not?
Musetti, A., Cattivelli, R., Giacobbi, M., Zuglian, P., Ceccarini, M., Capelli, F., Pietrabissa, G., & Castelnuovo, G. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00842 · Cited by 109 · see citing works
Self-citationUnderstanding compulsive smartphone use: An empirical test of a flow-based model
Chen, C., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M., & Liang, L. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.04.009 · Cited by 108 · see citing works
Uram, P., & Skalski‐Bednarz, S. B. (2020) · Psychological Reports · doi:10.1177/0033294120980970 · Cited by 103 · see citing works
Sha, P., & Dong, X. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168820 · Cited by 97 · see citing works
What drives stickiness in location-based AR games? An examination of flow and satisfaction
Lee, C.-H., Chiang, H., & Hsiao, K. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.06.008 · Cited by 94 · see citing works
Problematic social networking sites use and attachment: A systematic review
Musetti, A., Manari, T., Billieux, J., Starčević, V., & Schimmenti, A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107199 · Cited by 93 · see citing works
Self-citationConnelly, L. M. (2008) · PubMed · Cited by 89 · see citing works
Exploring the Role of Parents and Peers in Young Adolescents' Risk Taking on Social Networking Sites
Shin, W., & Ismail, N. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0095 · Cited by 86 · see citing works
Fu, X., Liu, J., Liu, R., Ding, Y., Hong, W., & Jiang, S. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106280 · Cited by 84 · see citing works
Wartberg, L., Kriston, L., Kammerl, R., Petersen, K.-U., & Thomasius, R. (2014) · Psychopathology · doi:10.1159/000365095 · Cited by 78 · see citing works
Wang, M., Xu, Q., & He, N. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106601 · Cited by 76 · see citing works
Mou, X., Xu, F., & Du, J. T. (2021) · Aslib Journal of Information Management · doi:10.1108/ajim-03-2021-0080 · Cited by 75 · see citing works
Huang, Q., Hu, M., & Chen, H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010132 · Cited by 74 · see citing works
Yang, Z., Griffiths, M. D., Yan, Z., & Xu, W. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147247 · Cited by 69 · see citing works
Utility of Parental Mediation Model on Youth’s Problematic Online Gaming
Benrazavi, S. R., Teimouri, M., & Griffiths, M. D. (2015) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-015-9561-2 · Cited by 65 · see citing works
Social Networking Sites Addiction and the Effect of Attitude towards Social Network Advertising
Can, L., & Kaya, N. (2016) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2016.11.059 · Cited by 65 · see citing works
Testing the spectrum hypothesis of problematic online behaviors: A network analysis approach
Baggio, S., Starčević, V., Billieux, J., King, D. L., Gainsbury, S., Eslick, G. D., & Berle, D. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2022.107451 · Cited by 64 · see citing works
Internet gaming disorder: feeling the flow of social games
Hu, E., Stavropoulos, V., Anderson, A., Scerri, M., & Collard, J. (2019) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2018.10.004 · Cited by 61 · see citing works
Flow Theory and Online Marketing Outcomes: A Critical Literature Review
Obadă, D.-R. (2013) · Procedia Economics and Finance · doi:10.1016/s2212-5671(13)00173-1 · Cited by 59 · see citing works
Life History Strategies and Problematic Use of Short-Form Video Applications
Wang, X., Zhao, S., Zhang, M. X., Chen, F., & Chang, L. (2020) · Evolutionary Psychological Science · doi:10.1007/s40806-020-00255-9 · Cited by 59 · see citing works
Musetti, A., & Corsano, P. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00558 · Cited by 57 · see citing works
Self-citationMeeus, A., Eggermont, S., & Beullens, K. (2018) · Human Communication Research · doi:10.1093/hcr/hqy015 · Cited by 57 · see citing works
Wang, H., & Lee, K. (2020) · Sustainability · doi:10.3390/su12176853 · Cited by 57 · see citing works
What data are smartphone users willing to share with researchers?
Beierle, F., Tran, V. T., Allemand, M., Neff, P. K. A., Schlee, W., Probst, T., Zimmermann, J., & Pryss, R. C. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01355-6 · Cited by 53 · see citing works
Marino, C., Manari, T., Vieno, A., Imperato, C., Spada, M. M., Franceschini, C., & Musetti, A. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2022.107572 · Cited by 53 · see citing works
Self-citationUnderstanding the role of individual differences in mobile SNS addiction
Gong, M., Xu, M., Luqman, A., Yu, L., & Masood, A. (2020) · Kybernetes · doi:10.1108/k-05-2019-0367 · Cited by 46 · see citing works
Understanding Online Game Addiction: Connection between Presence and Flow
Park, S., & Hwang, H. S. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02583-9_42 · Cited by 45 · see citing works
Laland, K. N., & Rendell, L. E. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-813251-7.00057-2 · Cited by 45 · see citing works
A Study on the Internet Dependence of College Students: the Revising and Applying of a Measurement
Fu-min, F. (2005) · Xinli fazhan yu jiaoyu · Cited by 41 · see citing works
Study on social media marketing campaign strategy -- TikTok and Instagram
Mou, J. B. (2020) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 39 · see citing works
Zhang, Y., Lv, S., Li, C., Xiong, Y., Zhou, C., Li, X., & Ye, M. (2020) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-020-0309-9 · Cited by 38 · see citing works
Göncü‐Köse, A. (2020) · Dusunen Adam The Journal of Psychiatry and Neurological Sciences · doi:10.14744/dajpns.2019.00056 · Cited by 26 · see citing works
Children’s Self-Esteem and Problematic Smartphone Use: The Moderating Effect of Family Rituals
Kim, D., & Jahng, K. E. (2019) · Journal of Child and Family Studies · doi:10.1007/s10826-019-01526-1 · Cited by 20 · see citing works
Adolescents' and Parents' Perspectives: A Gaming Disorder Intervention in Singapore
Sim, T., Choo, H., Low‐Lim, A., & Lau, J. (2020) · Family Relations · doi:10.1111/fare.12474 · Cited by 20 · see citing works
Iqbal, S., Zakar, R., & Fischer, F. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.620838 · Cited by 20 · see citing works
Parental mediation of children's Internet use: The influence of established media
Warren, R., & Bluma, A. (2002) · Communication Research Reports · doi:10.1080/08824090209384827 · Cited by 17 · see citing works
Liang, X. (2021) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.210407.151 · Cited by 12 · see citing works
Moqbel, M. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.745 · Cited by 11 · see citing works
The Conceptual Framework of Pathological Smartphone Use (PSU)
Saidon, J., Musa, R., Harun, M. H. M., et al. (2016) · Procedia Economics and Finance · doi:10.1016/s2212-5671(16)30147-2 · Cited by 9 · see citing works
There Is Nothing Real! A Study of Nonuse of TikTok in India
Chakraborty, I., Kapoor, U., & Ilavarasan, P. V. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64861-9_26 · Cited by 9 · see citing works
Measuring Intrinsic Motivation in Everyday Life
Csíkszentmihályi, M., Graef, R., & Gianinno, S. M. (2014) · Springer eBooks · doi:10.1007/978-94-017-9088-8_8 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- [6]Jung H. Zhou Q. Learning and Sharing Creative Skills with Short Videos: A Case Study of User Behavior in TikTok and Bilibili Int. Assoc. Soc. Des. Res. Conf. 2019 10 25 50
- [32]Wegmann E. Billieux J. Brand M. Internet-use disorders: A theoretical framework for their conceptualization and diagnosis Mental Health in a Digital World Elsevier Amsterdam, The Netherlands 2022 285 305
- [42]Brown J.R. Linné O. The family as a mediator of television’s effects Children and Television Brown R. Sage Publications Beverly Hills, CA, USA 1976 184 198
- [50]Bronfenbrenner U. The Ecology of Human Development Harvard University Press Cambridge, UK 1979
- [77]Louge N. Adolescents and the Internet Research Facts and Findings ACT for Youth Center of Excellence, Cornell University New York, NY, USA 2006 10.1093/acprof:oso/9780195342956.003.0014 · DOI
- [79]Bilgin M. Sahin I. Togay A. Ergenlerde Sosyal Medya Baǧimliliǧi ve Anne-Baba Ergen Iliskisi Egit. Ve Bilim 2020 45 263 281 10.15390/EB.2020.8202 · DOI
- [86]Christensen L.B. Johnson R.B. Turner L.A. Research Methods, Design, and Analysis. (Araştırma) Pearson London, UK 2014 217 249
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Conte, G., Iorio, G. D., Esposito, D., Romano, S., Panvino, F., Maggi, S., Altomonte, B., Casini, M. P., Ferrara, M., & Terrinoni, A. (2025) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-024-02581-w · Cited by 84 · see citing works
Zhu, C., Jiang, Y., Lei, H., Wang, H., & Zhang, C. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e30346 · Cited by 60 · see citing works
- Authors
- Qin, Y., Musetti, A., & Omar, B.
- Affiliations
- Universiti Sains Malaysia (MY)
- University of Parma (IT)
- Corresponding author
- Omar, Bahiyah
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2023-01-23
- Volume
- 20
- Issue
- 3
- Pages
- 2089
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC9915640
- OpenAlex
- W4317821532
- Cited by
- 39
- References
- 96
- Citations by year
- 2026: 12 · 2025: 13 · 2024: 11 · 2023: 3
- FWCI
- 16.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Developmental and Educational Psychology › Flow Experience in Various Fields
- Keywords
- TikTok, social media addiction, adolescents, flow experience, parental mediation, parental control, enjoyment, concentration, time distortion, moderating effect
- MeSH terms
- Adolescent, Adult, Child, China, Humans, Male, Surveys and Questionnaires, Risk Factors, Young Adult, Social Media
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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