Theoretical and empirical evidence have suggested that peer victimization is associated with adolescent problematic Internet use. However, the relationship between peer victimization and adolescent problematic Internet use remains inconsistently interpreted, with empirical findings showing varying correlations. This meta-analytic review thus aimed to examine the overall association between peer victimization and adolescent problematic Internet use, and to further explore the moderators that influence this association. Following a search of seven databases (Web of Science, PubMed, PsycArticles, PsycINFO, MEDLINE, ERIC, and CNKI) and auxiliary searches, data from 55 studies (N = 249,892 adolescents) yielding 114 effect sizes were synthesized using advanced three-level meta-analytic models in R. The meta-analysis revealed that peer victimization was significantly and positively related to adolescent problematic Internet use (r = .237, p < .001), representing a small effect size. This relationship, however, was moderated by several key factors. Specifically, publication year, data type, and measures of both peer victimization and problematic Internet use emerged as significant moderators, while culture showed a marginally significant moderating effect. In contrast, no significant moderation was found for sex, age, publication status, or the type of problematic Internet use. These results were not affected by publication bias. The findings provide a more comprehensive insight into the link between peer victimization and adolescent problematic Internet use, highlighting that interventions addressing adolescent problematic Internet use should be aware of the potential impact stemming from peer victimization experiences.
AdachiP.WilloughbyT. (2015). Interpreting effect sizes when controlling for stability effects in longitudinal autoregressive models: Implications for psychological science. European Journal of Developmental Psychology, 12(1), 116–128. https://doi.org/10.1080/17405629.2014.963549
2.
AgishteinP.BrumbaughC. (2013). Cultural variation in adult attachment: The impact of ethnicity, collectivism, and country of origin. Journal of Social, Evolutionary, and Cultural Psychology, 7(4), 384–405. https://doi.org/10.1037/h0099181
Al AliN.QasemI. O.AldwaikatT. (2025). Examining the impact of a school-based bullying education program on students’ knowledge of bullying, bullying behavior, and self-esteem. International Journal of Adolescence and Youth, 30(1), Article 2454997. https://doi.org/10.1080/02673843.2025.2454997
5.
AndrianieP. S.JaparM.PratistiW. D.KasturiT.PurwandariE. (2024). The role of peer relationships in problematic Internet use among adolescents: A scoping review and meta-analysis. The Open Psychology Journal, 17(1), 1–14. http://dx.doi.org/10.2174/0118743501333973241113061357
6.
AssinkM.WibbelinkC. J. (2016). Fitting three-level meta-analytic models in R: A step-by-step tutorial. The Quantitative Methods for Psychology, 12(3), 154–174. http://dx.doi.org/10.20982/tqmp.12.3.p154
7.
AzizN.NordinM. J.AbdulkadirS. J.SalihM. M. M. (2021). Digital addiction: Systematic review of computer game addiction impact on adolescent physical health. Electronics, 10(9), 996. https://doi.org/10.3390/electronics10090996
8.
BearG. G.YangC.MantzL.PasipanodyaE.HearnS.BoyerD. (2014). Technical manual for Delaware School Survey: Scales of school climate, bullying victimization, student engagement, and positive, punitive, and social emotional learning techniques. Funded by the Delaware Positive Behavior Support Project at the Center for Disability Studies at University of Delaware and Delaware Department of Education.
9.
Boniel-NissimM.SassonH. (2018). Bullying victimization and poor relationships with parents as risk factors of problematic internet use in adolescence. Computers in Human Behavior, 88, 176–183. https://doi.org/10.1016/j.chb.2018.05.041
10.
BurleighT. L.GriffithsM. D.SumichA.StavropoulosV.KussD. J. (2019). A systematic review of the co-occurrence of gaming disorder and other potentially addictive behaviors. Current Addiction Reports, 6, 383–401. https://doi.org/10.1007/s40429-019-00279-7
11.
CaiZ.MaoP.WangZ.WangD.HeJ.FanX. (2023). Associations between problematic internet use and mental health outcomes of students: A meta-analytic review. Adolescent Research Review, 8(1), 45–62. https://doi.org/10.1007/s40894-022-00201-9
12.
Carbone-LopezK.EsbensenF. A.BrickB. T. (2010). Correlates and consequences of peer victimization: Gender differences in direct and indirect forms of bullying. Youth Violence and Juvenile Justice, 8(4), 332–350. https://doi.org/10.1177/1541204010362954
13.
ChenJ.XiongY.WangQ.XuX.QinX.RenP. (2023). Peer victimization and Internet addiction among adolescents: The role of anger rumination and social dominance orientation. Journal of Adolescence, 95(8), 1578–1589. https://doi.org/10.1002/jad.12227
14.
ChenZ.ZengJ.LiaoJ.GuoC. (2025). The association between academic stress and problematic internet use among adolescents: A three-level meta-analysis. Journal of Youth and Adolescence, 54, 1779–1799. https://doi.org/10.1007/s10964-025-02151-6
15.
CheungM. W. L. (2014). Modeling dependent effect sizes with three-level metaanalyses: A structural equation modeling approach. Psychological Methods, 19(2), 211–229. https://doi.org/10.1037/a0032968
16.
ChiX.HongX.ChenX. (2020). Profiles and sociodemographic correlates of Internet addiction in early adolescents in southern China. Addictive Behaviors, 106, Article 106385. https://doi.org/10.1016/j.addbeh.2020.106385
FeilK.FritschJ.RhodesR. E. (2023). The intention-behaviour gap in physical activity: A systematic review and meta-analysis of the action control framework. British Journal of Sports Medicine, 57(19), 1265–1271. https://doi.org/10.1136/bjsports-2022-106640
21.
FergusonC. J.BrannickM. T. (2012). Publication bias in psychological science: Prevalence, methods for identifying and controlling, and implications for the use of meta-analyses. Psychological Methods, 17(1), 120–128. https://doi.org/10.1037/a0024445
22.
FergusonH. J.BrunsdonV. E.BradfordE. E. (2021). The developmental trajectories of executive function from adolescence to old age. Scientific Reports, 11(1), 1382. https://doi.org/10.1038/s41598-020-80866-1
23.
GaoW.ChenZ. (2006). A study on psychopathology and psychotherapy of internet addiction. Advances in Psychological Science, 14(4), 596–603.
24.
HofstedeG.HofstedeG. J.MinkovM. (2010). I, we, and they. In Cultures and organizations: Software of the mind (Revised and expanded 3rd ed., pp. 89–128). McGraw-Hill.
25.
HuY.GallagherT.WoutersP.van der SchaafM.KesterL. (2022). Game-based learning has good chemistry with chemistry education: A three-level meta-analysis. Journal of Research in Science Teaching, 59(9), 1499–1543. https://doi.org/10.1002/tea.21765
26.
JiaJ.LiD.LiX.ZhouY.WangY.SunW.ZhaoL. (2018). Peer victimization and adolescent Internet addiction: The mediating role of psychological security and the moderating role of teacher-student relationships. Computers in Human Behavior, 85, 116–124. https://doi.org/10.1016/j.chb.2018.03.042
27.
JinS. (2010). Social psychology. High Education Press.
28.
Kardefelt-WintherD. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. https://doi.org/10.1016/j.chb.2013.10.059
29.
LazarusR. S.FolkmanS. (1984). Stress, appraisal, and coping. Springer Publishing.
30.
LeungL. (2008). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children and Media, 2(2), 93–113. https://doi.org/10.1080/17482790802078565
31.
LiG.HouG.YangD.JianH.WangW. (2019). Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study. Addictive Behaviors, 90, 421–427. https://doi.org/10.1016/j.addbeh.2018.12.009
32.
LiJ.HuebnerE. S.TianL. (2024). Linking childhood maltreatment to cyberbullying perpetration and victimization: A systematic review and multilevel meta-analysis. Computers in Human Behavior, 156, Article 108199. https://doi.org/10.1016/j.chb.2024.108199
33.
LiJ.LiS.LiH.YeL.ChenX. (2024). The relationship between attachment and problematic internet use: A multilevel meta-analysis. Developmental Review, 73, Article 101146. https://doi.org/10.1016/j.dr.2024.101146
34.
LiX.LuoX.ZhengR.JinX.MeiL.XieX.GuH.HouF.LiuL.LuoX.MengH.ZhangJ.SongR. (2019). The role of depressive symptoms, anxiety symptoms, and school functioning in the association between peer victimization and internet addiction: A moderated mediation model. Journal of Affective Disorders, 256, 125–131. https://doi.org/10.1016/j.jad.2019.05.080
35.
LipseyM. W.WilsonD. B. (2001). Practical meta-analysis (Vol. 49). Sage Publications.
36.
LiuQ. Q.YangX. J.HuY. T.ZhangC. Y. (2020). Peer victimization, self-compassion, gender and adolescent mobile phone addiction: Unique and interactive effects. Children and Youth Services Review, 118, Article 105397. https://doi.org/10.1016/j.childyouth.2020.105397
37.
LiuY.SangB.GongS. Y.DingX. C.PanT. T. (2016). Cultural differences on function of emotional expression suppression. Advances in Psychological Science, 24(10), 1647–1647.
38.
Martínez-FerrerB.MorenoD.MusituG. (2018). Are adolescents engaged in the problematic use of social networking sites more involved in peer aggression and victimization?Frontiers in Psychology, 9, 801. https://doi.org/10.3389/fpsyg.2018.00801
39.
Martínez-FerrerM. F.León-MorenoC.Suárez-RelinqueC.Del Moral-ArroyoG.Musitu-OchoaG. (2021). Cybervictimization, offline victimization, and cyberbullying: The mediating role of the problematic use of social networking sites in boys and girls. Psychosocial Intervention, 30(3), 155–162. https://doi.org/10.7440/res64.2018.03
40.
MengS. Q.ChengJ. L.LiY. Y.YangX. Q.ZhengJ. W.ChangX. W.ShiY.ChenY.LuL.SunY.BaoY. P.ShiJ. (2022). Global prevalence of digital addiction in general population: A systematic review and meta-analysis. Clinical Psychology Review, 92, Article 102128. https://doi.org/10.1016/j.cpr.2022.102128
41.
ModeckiK. L.MinchinJ.HarbaughA. G.GuerraN. G.RunionsK. C. (2014). Bullying prevalence across contexts: A meta-analysis measuring cyber and traditional bullying. Journal of Adolescent Health, 55(5), 602–611. https://doi.org/10.1016/j.jadohealth.2014.06.007
42.
MynardH.JosephS. (2000). Development of the multidimensional peer-victimization scale. Aggressive Behavior, 26(2), 169–178. https://doi.org/10.1002/(SICI)1098-2337(2000)26:2<169::AID-AB3>3.0.CO;2-A
OuzzaniM.HammadyH.FedorowiczZ.ElmagarmidA. (2016). Rayyan—A web and mobile app for systematic reviews. Systematic Reviews, 5, 1–10. https://doi.org/10.1186/s13643-016-0384-4
45.
PageM. J.McKenzieJ. E.BossuytP. M.BoutronI.HoffmannT. C.MulrowC. D.ShamseerL.TetzlaffJ. M.MoherD. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112. https://doi.org/10.1016/j.jclinepi.2021.02.003
46.
PaternaA.Alcaraz-IbáñezM.Aguilar-ParraJ. M.SalaveraC.DemetrovicsZ.GriffithsM. D. (2024). Problematic smartphone use and academic achievement: A systematic review and meta-analysis. Journal of Behavioral Addictions, 13(2), 313–326. https://doi.org/10.1556/2006.2024.00014
47.
PetersJ. L.SuttonA. J.JonesD. R.AbramsK. R.RushtonL. (2008). Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry. Journal of Clinical Epidemiology, 61(10), 991–996. https://doi.org/10.1016/j.jclinepi.2007.11.010
48.
PontesH. M.GriffithsM. D. (2015). Measuring DSM-5 internet gaming disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137–143. https://doi.org/10.1016/j.chb.2014.12.006
49.
R Core Team. (2022). R: A language and environment for statistical computing (version 4.4.1) [Software]. https://www.R-project.org/
50.
RamzanN.AmjadN. (2017). Cross cultural variation in emotion regulation: A systematic review. Annals of King Edward Medical University, 23(1), 77–90. https://doi.org/10.21649/AKEMU.V23I1.1512
51.
RanG.LiJ.ZhangQ.NiuX. (2022). The association between social anxiety and mobile phone addiction: A three-level meta-analysis. Computers in Human Behavior, 130, Article 107198. https://doi.org/10.1016/j.chb.2022.107198
52.
RichardJ.MarchicaL.IvoskaW.DerevenskyJ. (2021). Bullying victimization and problem video gaming: The mediating role of externalizing and internalizing problems. International Journal of Environmental Research and Public Health, 18(4), Article 1930. https://doi.org/10.3390/ijerph18041930
53.
RodgersM. A.PustejovskyJ. E. (2021). Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes. Psychological Methods, 26(2), 141–160. https://doi.org/10.1037/met0000300
54.
RothsteinH. R.SuttonA. J.BorensteinM. (2005). Publication bias in meta-analysis. In RothsteinH. R.SuttonA. J.BorensteinM. (Eds.), Publication bias in meta-analysis: Prevention, assessment and adjustments (pp. 1–7). Wiley.
SpiekermanA. M.WitkowM. R.NishinaA. (2021). Peer victimization and depressive symptoms during adolescence: Examining the roles of social support and internalizing coping. The Journal of Early Adolescence, 41(4), 505–526. https://doi.org/10.1177/0272431620931191
57.
SteinbergL. (2007). Risk taking in adolescence: New perspectives from brain and behavioral science. Current Directions in Psychological Science, 16(2), 55–59. https://doi.org/10.1111/j.1467-8721.2007.00475.x
SuW.HanX.JinC.YanY.PotenzaM. N. (2019). Are males more likely to be addicted to the internet than females? A meta-analysis involving 34 global jurisdictions. Computers in Human Behavior, 99, 86–100. https://doi.org/10.1016/j.chb.2019.04.021
60.
TuW.JiangH.LiuQ. (2022). Peer victimization and adolescent mobile social addiction: Mediation of social anxiety and gender differences. International Journal of Environmental Research and Public Health, 19(17), Article 10978. https://doi.org/10.3390/ijerph191710978
61.
ValkenburgP. M. (2022). Social media use and well-being: What we know and what we need to know. Current Opinion in Psychology, 45, Article 101294. https://doi.org/10.1016/j.copsyc.2021.12.006
62.
ValkenburgP. M.PeterJ. (2009). Social consequences of the Internet for adolescents: A decade of research. Current Directions in Psychological Science, 18(1), 1–5. https://doi.org/10.1111/j.1467-8721.2009.01595.x
63.
van EldikW. M.de HaanA. D.ParryL. Q.DaviesP. T.LuijkM. P. C. M.ArendsL. R.PrinzieP. (2020). The interparental relationship: Meta-analytic associations with children’s maladjustment and responses to interparental conflict. Psychological Bulletin, 146(7), 553–594. https://doi.org/10.1037/bul0000233
64.
van GeelM.GoemansA.ZwaanswijkW.VedderP. (2022). Does peer victimization predict future suicidal ideation? A meta-analysis on longitudinal studies. Aggression and Violent Behavior, 64, Article 101577. https://doi.org/10.1016/j.avb.2021.101577
65.
VerduynP.Schulte-StrathausJ. C.KrossE.HülshegerU. R. (2021). When do smartphones displace face-to-face interactions and what to do about it?. Computers in Human Behavior, 114, Article 106550. https://doi.org/10.1016/j.chb.2020.106550
66.
WeiszJ. R.KuppensS.NgM. Y.EckshtainD.UguetoA. M.Vaughn-CoaxumR.Jensen-DossA.HawleyK. M.Krumholz MarchetteL. S.ChuB. C.WeersingV. R.FordwoodS. R. (2017). What five decades of research tells us about the effects of youth psychological therapy: A multilevel meta-analysis and implications for science and practice. American Psychologist, 72(2), 79–117. https://doi.org/10.1037/a0040360
67.
XieJ. M. (2024). The relationship of peer victimization and internet addiction in junior high school students: A longitudinal study [Master dissertation, Guangzhou University].
68.
YangX.LiaoT.WangY.RenL.ZengJ. (2024). The association between digital addiction and interpersonal relationships: A systematic review and meta-analysis. Clinical Psychology Review, 114, Article 102501. https://doi.org/10.1016/j.cpr.2024.102501
69.
YoungK. S. (1998). Caught in the net: How to recognize the signs of internet addiction and a winning strategy for recovery. John Wiley& Sons.
70.
YuQ.ZhangL.WuS.GuoY.JinS.SunY. (2017). The influence of juvenile preference for online social interaction on problematic Internet use: The moderating effect of sibling condition and the moderated moderating effect of age cohort. Computers in Human Behavior, 68, 345–351. https://doi.org/10.1016/j.chb.2016.11.026
71.
ZhaiB.LiD.JiaJ.LiuY.SunW.WangY. (2019). Peer victimization and problematic internet use in adolescents: The mediating role of deviant peer affiliation and the moderating role of family functioning. Addictive Behaviors, 96, 43–49. https://doi.org/10.1016/j.addbeh.2019.04.016
72.
ZhangQ.ZhangQ.RanG.LiuY. (2024). The association between child abuse and internet addiction: A three-level meta-analysis. Trauma, Violence, & Abuse, 25(3), 2234–2248. https://doi.org/10.1177/15248380231209436
73.
ZhangW.PuJ.HeR.YuM.XuL.HeX.ChenZ.GanZ.LiuK.TanY.XiangB. (2022). Demographic characteristics, family environment and psychosocial factors affecting internet addiction in Chinese adolescents. Journal of Affective Disorders, 315, 130–138. https://doi.org/10.1016/j.jad.2022.07.053
74.
ZhangW.WuJ. (1999). Chinese version of the Olweus bully/victim questionnaire. Psychological Development and Education, 15(2), 8–12.
75.
ZhengX.ChenJ.LiC.ShiS.YuQ.XiongQ.ZhuF.ZhangJ.HuY. (2023). The influence of stressful life events on adolescents’ problematic internet use: The mediating effect of self-worth and the moderating effect of physical activity. International Journal of Mental Health and Addiction, 21(5), 2824–2841. https://doi.org/10.1007/s11469-022-00758-5
76.
ZhengX.ChenJ.YuQ.XiongQ.ZhangL.LiC.ShiS. (2023). Associations between peer victimization and problematic internet use among adolescents: Humor makes a difference. Journal of Interpersonal Violence, 38(13–14), 7911–7940. https://doi.org/10.1177/08862605221150463
77.
ZhouS. S.YuC. F.XuQ.WeiC.LinZ. (2014). Peer victimization and pathological Internet game use in junior high school students: Mediation and moderation effects. Educational Measurement and Evaluation, (10), 43–48. https://doi.org/10.16518/j.cnki.emae.2014.10.004
78.
ZhuY.DengL.WanK. (2022). The association between parent-child relationship and problematic internet use among English-and Chinese-language studies: A meta-analysis. Frontiers in Psychology, 13, Article 885819. https://doi.org/10.3389/fpsyg.2022.88581
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