A Meaning- and Emotion-Regulation-Based Intervention for Problematic Interactive Media use Among Chinese Rural Adolescents: A Randomized Controlled Trial
Restricted accessResearch articleFirst published online 2026
A Meaning- and Emotion-Regulation-Based Intervention for Problematic Interactive Media use Among Chinese Rural Adolescents: A Randomized Controlled Trial
Purpose: To evaluate a meaning- and emotion-regulation-based intervention for preventing Problematic Interactive Media Use (PIMU) among Chinese rural adolescents. Method: In total, 106 high school freshmen (Mage = 15.15, SD = 0.47) were randomized to intervention or waitlist control. Four weekly 90-min sessions targeting meaning in life and emotion regulation were delivered by trained counselors, with assessments at baseline (T1), postintervention (T2), and 3-month follow-up (T3). Results: Repeated-measures analysis of variance revealed significant time × group interaction effects for meaning confusion, emotion dysregulation, and all three PIMU domains. The intervention group demonstrated significant reductions in problematic smartphone use at T2 and T3, and outperformed controls across all PIMU domains at T2. The control group showed significant increases in internet gaming disorder at follow-up. Discussion: A brief meaning- and emotion-based intervention is feasible and effective in preventing and reducing PIMU among Chinese rural adolescents. This study was prospectively registered at ClinicalTrials.gov (NCT05479344).
AbbasiB. N.LuoZ.SohailA.ShashaW. (2022). Research on non-cognitive ability disparity of Chinese adolescent students: A rural-urban analysis. Global Economic Review, 51(2), 159–174. https://doi.org/10.1080/1226508X.2022.2085134
2.
AnbumalarC.Binu SahayamD. (2024). Brain and smartphone addiction: A systematic review. Human Behavior and Emerging Technologies, 2024, Article 5592994. https://doi.org/10.1155/2024/5592994
3.
AndradeA. L. M.Di Girolamo MartinsG.ScatenaA.LopesF. M.de OliveiraW. A.KimH. S.De MicheliD. (2023). The effect of psychosocial interventions for reducing co-occurring symptoms of depression and anxiety in individuals with problematic internet use: A systematic review and meta-analysis. International Journal of Mental Health and Addiction, 21(6), 4141–4162. https://doi.org/10.1007/s11469-022-00846-6
4.
AndreassenC. S.BillieuxJ.GriffithsM. D.KussD. J.DemetrovicsZ.MazzoniE.PallesenS. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. https://doi.org/10.1037/adb0000160
5.
AugnerC.VlasakT.AichhornW.BarthA. (2021). The association between problematic smartphone use and symptoms of anxiety and depression—A meta-analysis. Journal of Public Health, 45(1), 193–201. https://doi.org/10.1093/pubmed/fdab350
6.
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), Article 996. https://doi.org/10.3390/electronics10090996
7.
BlauI.GoldbergS.BenololN. (2019). Purpose and life satisfaction during adolescence: The role of meaning in life, social support, and problematic digital use. Journal of Youth Studies, 22(7), 907–925. https://doi.org/10.1080/13676261.2018.1551614
8.
BuschP. A.McCarthyS. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114, Article 106414. https://doi.org/10.1016/j.chb.2020.106414
9.
CarrA.CullenK.KeeneyC.CanningC.MooneyO.ChinseallaighE.O’DowdA. (2021). Effectiveness of positive psychology interventions: A systematic review and meta-analysis. The Journal of Positive Psychology, 16(6), 749–769. https://doi.org/10.1080/17439760.2020.1818807
10.
ChenI. H.AhorsuD. K.PakpourA. H.GriffithsM. D.LinC.-Y.ChenC.-Y. (2020). Psychometric properties of three simplified Chinese online-related addictive behavior instruments among mainland Chinese primary school students. Frontiers in Psychiatry, 11, Article 875. https://doi.org/10.3389/fpsyt.2020.00875
11.
ChenI. H.StrongC.LinY.-C.TsaiM.-C.LeungH.LinC.-Y.PakpourA. H.GriffithsM. D. (2020). Time invariance of three ultra-brief internet-related instruments: Smartphone application-based addiction scale (SABAS), bergen social Media addiction scale (BSMAS), and the nine-item internet gaming disorder scale- short form (IGDS-SF9) (study part B). Addictive Behaviors, 101, Article 105960. https://doi.org/10.1016/j.addbeh.2019.04.018
12.
ChenL. (2023). Smartphone dependency and mental health among Chinese rural adolescents: The mediating role of cognitive failure and parent–child relationship. Frontiers in Psychology, 14, Article 1194939. https://doi.org/10.3389/fpsyg.2023.1194939
13.
ChenY.LuJ.WangL.GaoX. (2023). Effective interventions for gaming disorder: A systematic review of randomized control trials. Frontiers in Psychiatry, 14, Article 1098922. https://doi.org/10.3389/fpsyt.2023.1098922
14.
CohenJ. (2013). Statistical power analysis for the behavioral sciences. Academic Press.
15.
CsibiS.GriffithsM. D.CookB.DemetrovicsZ.SzaboA. (2018). The psychometric properties of the smartphone application-based addiction scale (SABAS). International Journal of Mental Health and Addiction, 16(2), 393–403. https://doi.org/10.1007/s11469-017-9787-2
16.
DamonW.MenonJ.Cotton BronkK. (2003). The development of purpose during adolescence. Applied Developmental Science, 7(3), 119–128. https://doi.org/10.1207/S1532480XADS0703_2
17.
DuanW.WuT.BuH.HeL. (2022). Development of a three-stage strength-based meaning intervention to promote mental health among individuals with physical disabilities in disadvantaged communities: A randomized controlled trial. Journal of Happiness Studies, 23(8), 3865–3887. https://doi.org/10.1007/s10902-022-00578-3
18.
EadehH.-M.BreauxR.NikolasM. A. (2021). A meta-analytic review of emotion regulation focused psychosocial interventions for adolescents. Clinical Child and Family Psychology Review, 24(4), 684–706. https://doi.org/10.1007/s10567-021-00362-4
19.
Emadi ChashmiS. J.ShahrajabianF.HasaniJ.PotenzaM. N.KussD. J.HakimaF. (2023). The effects of emotional working memory training on internet use, impulsivity, risky decision-making, and cognitive emotion regulation strategies in young adults with problematic use of the internet: A preliminary randomized controlled trial study into possible mechanisms. Journal of Behavioral Addictions, 12(3), 786–802. https://doi.org/10.1556/2006.2023.00022
20.
EptonT.CurrieS.ArmitageC. J. (2017). Unique effects of setting goals on behavior change: Systematic review and meta-analysis. Journal of Consulting and Clinical Psychology, 85(12), 1182–1198. https://doi.org/10.1037/ccp0000260
21.
EriksonE. H. (1968). Identity: Youth and Crisis. WW Norton & Company.
22.
FendelJ. C.VogtA.BrandtnerA.SchmidtS. (2024). Mindfulness programs for problematic usage of the internet: A systematic review and meta-analysis. Journal of Behavioral Addictions, 13(2), 327–353. https://doi.org/10.1556/2006.2024.00024
23.
FranklV. E. (1985). Man's search for meaning. Simon and Schuster.
24.
FuL.WangP.ZhaoM.XieX.ChenY.NieJ.LeiL. (2020). Can emotion regulation difficulty lead to adolescent problematic smartphone use? A moderated mediation model of depression and perceived social support. Children and Youth Services Review, 108, Article 104660. https://doi.org/10.1016/j.childyouth.2019.104660
25.
GaoX.PerthebanT. R.ChongK. M.JiM. (2023). Phenomenon of digital addiction among rural digital juveniles: A survey in rural China. Journal of Asian Behavioural Studies, 8(25), 67–85. https://doi.org/10.21834/jabs.v8i25.428
26.
GaoY.-X.WangJ.-Y.DongG.-H. (2022). The prevalence and possible risk factors of internet gaming disorder among adolescents and young adults: Systematic reviews and meta-analyses. Journal of Psychiatric Research, 154, 35–43. https://doi.org/10.1016/j.jpsychires.2022.06.049
27.
GeM.-W.HuF.-H.JiaY.-J.TangW.ZhangW.-Q.ZhaoD.-Y.ShenW.-Q.ChenH.-L. (2025). The relationship between loneliness and internet or smartphone addiction among adolescents: A systematic review and meta-analysis. Psychological Reports, 128(3), 1429–1451. https://doi.org/10.1177/00332941231180119
28.
GlawX.KableA.HazeltonM.InderK. (2017). Meaning in life and meaning of life in mental health care: An integrative literature review. Issues in Mental Health Nursing, 38(3), 243–252. https://doi.org/10.1080/01612840.2016.1253804
29.
GrossJ. J. (2015). The extended process model of emotion regulation: Elaborations, applications, and future directions. Psychological Inquiry, 26(1), 130–137. https://doi.org/10.1080/1047840X.2015.989751
30.
HayesS. C.StrosahlK. D.WilsonK. G. (2011). Acceptance and commitment therapy: The process and practice of mindful change. Guilford Press.
31.
JiangS.DongL. (2022). Association between deprivation and cognitive ability among Chinese adolescents: Examining the mechanisms of parental involvement in a rural–urban dual system. Current Psychology, 41(7), 4602–4611. https://doi.org/10.1007/s12144-020-00981-0
32.
KanterJ. W.KuczynskiA. M.TsaiM.KohlenbergR. J. (2018). A brief contextual behavioral intervention to improve relationships: A randomized trial. Journal of Contextual Behavioral Science, 10, 75–84. https://doi.org/10.1016/j.jcbs.2018.09.001
33.
KaufmanE. A.XiaM.FoscoG.YaptangcoM.SkidmoreC. R.CrowellS. E. (2016). The difficulties in emotion regulation scale short form (DERS-SF): Validation and replication in adolescent and adult samples. Journal of Psychopathology and Behavioral Assessment, 38(3), 443–455. https://doi.org/10.1007/s10862-015-9529-3
34.
KorA.ShoshaniA. (2023). Moderating the impact of the COVID-19 pandemic on children's and adolescents’ substance use, digital media use, and mental health: A randomized positive psychology addiction prevention program. Addictive Behaviors, 141, Article 107660. https://doi.org/10.1016/j.addbeh.2023.107660
35.
LaconiS.TricardN.ChabrolH. (2015). Differences between specific and generalized problematic internet uses according to gender, age, time spent online and psychopathological symptoms. Computers in Human Behavior, 48, 236–244. https://doi.org/10.1016/j.chb.2015.02.006
36.
LaiF. T. T.KwanJ. L. Y. (2017). Socioeconomic influence on adolescent problematic internet use through school-related psychosocial factors and pattern of internet use. Computers in Human Behavior, 68, 121–136. https://doi.org/10.1016/j.chb.2016.11.021
37.
LanY.DingJ.-E.LiW.LiJ.ZhangY.LiuM.FuH. (2018). A pilot study of a group mindfulness-based cognitive-behavioral intervention for smartphone addiction among university students. Journal of Behavioral Addictions, 7(4), 1171–1176. https://doi.org/10.1556/2006.7.2018.103
38.
León MéndezM.PadrónI.FumeroA.MarreroR. J. (2024). Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies. Neuroscience & Biobehavioral Reviews, 159, Article 105572. https://doi.org/10.1016/j.neubiorev.2024.105572
39.
LeungH.PakpourA. H.StrongC.LinY.-C.TsaiM.-C.GriffithsM. D.LinC.-Y.ChenI. H. (2020). Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen social Media addiction scale (BSMAS), smartphone application-based addiction scale (SABAS), and internet gaming disorder scale-short form (IGDS-SF9) (study part A). Addictive Behaviors, 101, Article 105969. https://doi.org/10.1016/j.addbeh.2019.04.027
40.
LeungJ.SaundersJ. B.StjepanovićD.TisdaleC.McClure-ThomasC.ConnorJ.GulloM.WoodA.ChanK.CG. (2024). Extended hours of video game play and negative physical symptoms and pain. Computers in Human Behavior, Article, 155, 1–7. https://doi.org/10.1016/j.chb.2024.108181
41.
LiY.ChenN.KwokS. Y. C. L. (2025). Development and validation of the state of meaning in life (SoMIL) scale among Chinese adolescents. Applied Research in Quality of Life, 20(3), 1163–1196. https://doi.org/10.1007/s11482-025-10455-9
42.
LiY.MuW.XieX.KwokS. Y. C. L. (2023). Network analysis of internet gaming disorder, problematic social media use, problematic smartphone use, psychological distress, and meaning in life among adolescents. Digital Health, 9, Article 20552076231158036. https://doi.org/10.1177/20552076231158036
43.
LiY.ZhangX.LuF.ZhangQ.WangY. (2013). Internet addiction among elementary and middle school students in China: A nationally representative sample study. Cyberpsychology, Behavior, and Social Networking, 17(2), 111–116. https://doi.org/10.1089/cyber.2012.0482
44.
LiangY.HuangH.DingY.ZhangY.LuG.ChenC. (2022). The relationship between self-esteem and mobile phone addiction among mainland Chinese adolescents: A meta-analysis. Psychological Reports, 127(1), 5–39. https://doi.org/10.1177/00332941221109115
45.
LiaoZ.ChenX.HuangQ.ShenH. (2022). Prevalence of gaming disorder in east Asia: A comprehensive meta-analysis. Journal of Behavioral Addictions, 11(3), 727–738. https://doi.org/10.1556/2006.2022.00050
46.
Liu-SeifertH.ZhangS.D’SouzaD.SkljarevskiV. (2010). A closer look at the baseline-observation-carried-forward (BOCF). Patient Preference and Adherence, 4(2010), 11–16. https://doi.org/10.2147/ppa.s8135
47.
LiuG. X. Y.HelwigC. C. (2020). Autonomy, social inequality, and support in Chinese urban and rural adolescents’ reasoning about the Chinese college entrance examination (gaokao). Journal of Adolescent Research, 37(5), 639–671. https://doi.org/10.1177/0743558420914082
48.
LiuJ.WangY.LiuX.LiJ.XingS. (2023). Experiencing stress impact on adolescent repetitive nonsuicidal self-injury: The mediating role of emotion dysregulation and maladaptive cognitive schemas. Journal of Affective Disorders, 339, 392–399. https://doi.org/10.1016/j.jad.2023.07.074
49.
LiuX.JiangJ.ZhangY. (2021). Effects of logotherapy-based mindfulness intervention on internet addiction among adolescents during the COVID-19 pandemic. Iranian Journal of Public Health, 50(4), 789–797. https://doi.org/10.18502/ijph.v50i4.6005
50.
LoC. K. M.ChanK. L.YuL.ChuiW. W. H.IpP. (2023). Long-term effects of psychosocial interventions on internet-related disorders: A meta-analysis. Computers in Human Behavior, 138, Article 107465. https://doi.org/10.1016/j.chb.2022.107465
51.
LovedayP. M.LovellG. P.JonesC. M. (2018). The best possible selves intervention: A review of the literature to evaluate efficacy and guide future research. Journal of Happiness Studies, 19(2), 607–628. https://doi.org/10.1007/s10902-016-9824-z
52.
LuanY. Q.WangY. H.ChuL. J.ZhangS.FanX. W.TsinC.YuZ. H.ChenK. X.WangX. R.ZhangY. J.WangY. Z.GaoL. Y.JiangN.ZhangJ. Z.MachavarianiE.QiuY. J.ZhongN.ZhaoM.LiG. H.…LuC. L. (2025). Policies, resources, and interventions for child and adolescent mental health in China: A scoping review. Lancet Regional Health-Western Pacific, 62, Article 101635, https://doi.org/10.1016/j.lanwpc.2025.101635
53.
LuzJ. M. O. d.MurtaS. G.AquinoT. A. A. d. (2017). Intervention for promoting meaning in life in adolescents: Evaluation of the process and results. Trends in Psychology, 25(4), 1795–1811. https://doi.org/10.9788/TP2017.4-14Pt
54.
MaJ.-q.ShengL. (2023). Internet use time and mental health among rural adolescents in China: A longitudinal study. Journal of Affective Disorders, 337, 18–26. https://doi.org/10.1016/j.jad.2023.05.054
55.
MacíasJ.SchosserK. K.BondF. W.BlancaM. J.Valero-AguayoL. (2022). Enhancing students’ well-being with a unified approach based on contextual behavioural science: A randomised experimental school-based intervention. Applied Psychology: Health and Well-Being, 14(3), 1022–1036. https://doi.org/10.1111/aphw.12365
56.
MaitlandD. W. M. (2024). The extended evolutionary meta-model and process-based therapy: Contemporary lenses for understanding functional analytic psychotherapy. Journal of Contextual Behavioral Science, 32, Article 100750. https://doi.org/10.1016/j.jcbs.2024.100750
57.
MancoN.HambyS. (2021). A meta-analytic review of interventions that promote meaning in life. American Journal of Health Promotion, 35(6), 866–873. https://doi.org/10.1177/0890117121995736
58.
McCoyC. E. (2017). Understanding the intention-to-treat principle in randomized controlled trials. Western Journal of Emergency Medicine, 18(6), 1075–1078. https://doi.org/10.5811/westjem.2017.8.35985
59.
MoltrechtB.DeightonJ.PatalayP.Edbrooke-ChildsJ. (2021). Effectiveness of current psychological interventions to improve emotion regulation in youth: A meta-analysis. European Child & Adolescent Psychiatry, 30(6), 829–848. https://doi.org/10.1007/s00787-020-01498-4
60.
NiuH.WangS.TaoY.TangQ.ZhangL.LiuX. (2023). The association between online learning, parents’ marital status, and internet addiction among adolescents during the COVID-19 pandemic period: A cross-lagged panel network approach. Journal of Affective Disorders, 333, 553–561. https://doi.org/10.1016/j.jad.2023.04.096
61.
OstafinB. D.FeyelN. (2019). The effects of a brief meaning in life intervention on the incentive salience of alcohol. Addictive Behaviors, 90, 107–111. https://doi.org/10.1016/j.addbeh.2018.10.035
62.
ÖzaslanA.YıldırımM.GüneyE.GüzelHŞİşeriE. (2022). Association between problematic internet use, quality of parent-adolescents relationship, conflicts, and mental health problems. International Journal of Mental Health and Addiction, 20(4), 2503–2519. https://doi.org/10.1007/s11469-021-00529-8
63.
PedriniL.MeloniS.LanfrediM.RossiR. (2022). School-based interventions to improve emotional regulation skills in adolescent students: A systematic review. Journal of Adolescence, 94(8), 1051–1067. https://doi.org/10.1002/jad.12090
64.
PengC.WangM.ChengJ.TanY.HuangY.RongF.KangC.DingH.YuY. (2021). Association between internet addiction and suicidal ideation, suicide plans, and suicide attempts among Chinese adolescents with and without parental migration. Computers in Human Behavior, 125, Article 106949. https://doi.org/10.1016/j.chb.2021.106949
65.
PluharE.KavanaughJ. R.LevinsonJ. A.RichM. (2019). Problematic interactive media use in teens: Comorbidities, assessment, and treatment. Psychology Research and Behavior Management, 12, 447–455. https://doi.org/10.2147/PRBM.S208968
66.
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
67.
RichardJ.TemcheffC. E.DerevenskyJ. L. (2020). Gaming disorder across the lifespan: A scoping review of longitudinal studies. Current Addiction Reports, 7(4), 561–587. https://doi.org/10.1007/s40429-020-00339-3
68.
RíosD. C.HervasG. (2025). Evaluation of a meaning in life intervention applied to work: A randomized clinical trial. Applied Psychology: Health and Well-Being, 17(1), Article e12622. https://doi.org/10.1111/aphw.12622
69.
Romero SalettiS. M.Van den BrouckeS.ChauC. (2024). The effectiveness of prevention programs for problematic internet use in adolescents and youths: A systematic review and meta-analysis. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 15(2), Article 10. https://doi.org/10.5817/CP2021-2-10
70.
RosenbergM. B.ChopraD. (2015). Nonviolent communication: A language of life: Life-changing tools for healthy relationships. PuddleDancer Press.
71.
RuiniC.MortaraC. C. (2022). Writing technique across psychotherapies—from traditional expressive writing to new positive psychology interventions: A narrative review. Journal of Contemporary Psychotherapy, 52(1), 23–34. https://doi.org/10.1007/s10879-021-09520-9
72.
SawyerS. M.AfifiR. A.BearingerL. H.BlakemoreS.-J.DickB.EzehA. C.PattonG. C. (2012). Adolescence: A foundation for future health. The Lancet, 379(9826), 1630–1640. https://doi.org/10.1016/S0140-6736(12)60072-5
73.
SeligmanM. E. P.SteenT. A.ParkN.PetersonC. (2005). Positive psychology progress: Empirical validation of interventions. American Psychologist, 60(5), 410–421. https://doi.org/10.1037/0003-066X.60.5.410
74.
ShanJ.MaL.XiangY. (2023). Kinship support differentially predicts problematic smartphone use in left-behind children compared to non-left-behind children: A longitudinal study. International Journal of Mental Health and Addiction, 23(2), 1484–1502. https://doi.org/10.1007/s11469-023-01180-1
75.
ShannonH.BushK.VilleneuveP. J.HellemansK. G.GuimondS. (2022). Problematic social media use in adolescents and young adults: Systematic review and meta-analysis. JMIR Ment Health, 9(4), Article e33450. https://doi.org/10.2196/33450
76.
SharmaM. K.AnandN.TadpatrikarA.MarimuthuP.NarayananG. (2022). Effectiveness of multimodal psychotherapeutic intervention for internet gaming disorder. Psychiatry Research, 314, Article 114633. https://doi.org/10.1016/j.psychres.2022.114633
77.
TangC.RaatH.YanM.ZhangQ.LiK.JiangM.TangW.ChenJ.ZhaoY.LiuQ. (2021). Application of the health action process approach model for reducing excessive internet use behaviors among rural adolescents in China: A school-based intervention pilot study. BMC Public Health, 21(1), Article 986. https://doi.org/10.1186/s12889-021-10999-z
78.
TkaczykM.TancošM.SmahelD.ElavskyS.PlhákJ. (2024). (In) accuracy and convergent validity of daily end-of-day and single-time self-reported estimations of smartphone use among adolescents. Computers in Human Behavior, 158, Article 108281. https://doi.org/10.1016/j.chb.2024.108281
79.
VosJ. (2018). Meaning in life: An evidence-based handbook for practitioners. Bloomsbury Publishing.
80.
VosJ. (2023). The meaning sextet: A systematic literature review and further validation of a universal typology of meaning in life. Journal of Constructivist Psychology, 36(2), 204–231. https://doi.org/10.1080/10720537.2022.2068709
81.
VosJ.CraigM.CooperM. (2015). Existential therapies: A meta-analysis of their effects on psychological outcomes. Journal of Consulting and Clinical Psychology, 83(1), 115–128. https://doi.org/10.1037/a0037167
82.
VosJ.VitaliD. (2018). The effects of psychological meaning-centered therapies on quality of life and psychological stress: A meta-analysis. Palliative and Supportive Care, 16(5), 608–632. https://doi.org/10.1017/S1478951517000931
83.
WangH.LiX.LokG. K. I.MengC.TanY.LeeU. M.LeiL. S. M.ChanN. (2024). Family-based therapy for internet addiction among adolescents and young adults: A meta-analysis. Journal of Behavioral Addictions, 13(2), 295–312. https://doi.org/10.1556/2006.2024.00015
84.
WangJ.LiM.GengJ.WangH.NieJ.LeiL. (2022). Meaning in life and self-control mediate the potential contribution of harsh parenting to adolescents’ problematic smartphone use: Longitudinal multi-group analyses. Journal of Interpersonal Violence, 38(1-2), 2159–2181. https://doi.org/10.1177/08862605221099495
85.
WongP. T. (2015). Meaning therapy: Assessments and interventions. Existential Analysis, 26(1), 154–167.
86.
WongP. T. (2010). Meaning therapy: An integrative and positive existential psychotherapy. Journal of Contemporary Psychotherapy, 40(2), 85–93. https://doi.org/10.1007/s10879-009-9132-6
87.
WongP. T. P. (2016). Integrative meaning therapy: From logotherapy to existential positive interventions. In Russo-NetzerP.SchulenbergS. E.BatthyanyA. (Eds.), Clinical perspectives on meaning: Positive and existential psychotherapy (pp. 323–342). Springer International Publishing. https://doi.org/10.1007/978-3-319-41397-6_16
88.
YangJ.FuX.LiaoX.LiY. (2020). Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Research, 284, Article 112686. https://doi.org/10.1016/j.psychres.2019.112686
89.
YangQ.WangH.WuH.LiW.ZhangY.YaoY.YuanX.ChenC.WangY.ZhongY.WangW.ZhangM.YangY.LiuH.ZhangK. (2023). Effect of online game policy on smartphone game play time, addiction, and emotion in rural adolescents of China. BMC Psychiatry, 23, Article 814. https://doi.org/10.1186/s12888-023-05325-3
90.
YangS.ZhuX. (2023). How does problematic internet use influence Chinese rural adolescent externalizing problem behaviors? The mediating role of mental health and the moderating role of parental knowledge. International Journal of Environmental Research and Public Health, 20(3), Article 2162. https://doi.org/10.3390/ijerph20032162
91.
ZhangK.LuX.ZhangX.ZhangJ.RenJ.GuoH.ZhuZ.YangH.YuanG.JinG.DuJ.ShiH.HaoJ.SunY.SuP.YangL.ZhangZ. (2023). Effects of psychological or exercise interventions on problematic mobile phone use: A systematic review and meta-analysis. Current Addiction Reports, 10(2), 230–253. https://doi.org/10.1007/s40429-023-00471-w
92.
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
93.
ZhaoG.YeJ.LiZ.XueS. (2017). How and why do Chinese urban students outperform their rural counterparts?China Economic Review, 45, 103–123. https://doi.org/10.1016/j.chieco.2017.06.006
94.
ZhaoY.WuK.WangY.ZhaoG.ZhangE. (2022). Construct validity of brief difficulties in emotion regulation scale and its revised version: Evidence for a general factor. Current Psychology, 41(2), 1085–1096. https://doi.org/10.1007/s12144-021-02056-0
95.
ZhenR.LiL.LiuX.ZhouX. (2020). Negative life events, depression, and mobile phone dependency among left-behind adolescents in rural China: An interpersonal perspective. Children and Youth Services Review, 109, Article 104688. https://doi.org/10.1016/j.childyouth.2019.104688
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