Life Events, Boredom Proneness and Mobile Phone Addiction Tendency: A Longitudinal Mediation Analysis Based on Latent Growth Modeling (LGM)

References

• Hong W, Liu RD, Ding Y, et al. Autonomy need dissatisfaction in daily life and problematic mobile phone use: the mediating roles of boredom proneness and mobile phone gaming. Int J Environ Res Public Health. 2020;17(15):5305. doi:10.3390/ijerph17155305
   PubMed Web of Science ®Google Scholar
• Chen Y, Zhu J, Zhang W. Reciprocal longitudinal relations between peer victimization and mobile phone addiction: the explanatory mechanism of adolescent depression. J Adolesc. 2021;89:1–9. doi:10.1016/j.adolescence.2021.03.003
   PubMed Web of Science ®Google Scholar
• O’Bannon BW, Waters S, Lubke J, et al. Teachers and students poised to use mobile phones in the classroom. Comput Sch. 2017;34(3):125–141. doi:10.1080/07380569.2017.1347454
   Web of Science ®Google Scholar
• Andujar A. Benefits of mobile instant messaging to develop ESL writing. System. 2016;62:63–76. doi:10.1016/j.system.2016.07.004
   Web of Science ®Google Scholar
• Li G, Xie J, An L, et al. A generalizability analysis of the mobile phone addiction tendency scale for Chinese college students. Front Psychiatry. 2019;10:241. doi:10.3389/fpsyt.2019.00241
   PubMed Web of Science ®Google Scholar
• Zou Z, Wang H, d’Oleire Uquillas F, et al. Definition of substance and non-substance addiction. Subst Non Subst Addict. 2017;2017:21–41.
   Google Scholar
• Kang Y, Liu S, Yang L, et al. Testing the bidirectional associations of mobile phone addiction behaviors with mental distress, sleep disturbances, and sleep patterns: a one-year prospective study among Chinese college students. Front Psychiatry. 2020;11:634. doi:10.3389/fpsyt.2020.00634
   PubMed Web of Science ®Google Scholar
• Liu QQ, Zhou ZK, Yang XJ, et al. Mobile phone addiction and sleep quality among Chinese adolescents: a moderated mediation model. Comput Human Behav. 2017;72:108–114. doi:10.1016/j.chb.2017.02.042
   Web of Science ®Google Scholar
• Huang Q, Li Y, Huang S, et al. Smartphone use and sleep quality in Chinese college students: a preliminary study. Front Psychiatry. 2020;11:352. doi:10.3389/fpsyt.2020.00352
   PubMed Web of Science ®Google Scholar
• Zhang C, Li G, Fan Z, et al. Mobile phone addiction mediates the relationship between alexithymia and learning burnout in Chinese medical students: a structural equation model analysis. Psychol Res Behav Manag. 2021;14:455. doi:10.2147/PRBM.S304635
   PubMed Web of Science ®Google Scholar
• Shi M, Zhai X, Li S, et al. The relationship between physical activity, mobile phone addiction, and irrational procrastination in Chinese college students. Int J Environ Res Public Health. 2021;18(10):5325. doi:10.3390/ijerph18105325
   PubMed Web of Science ®Google Scholar
• Li L, Lok GKI, Mei SL, et al. The severity of mobile phone addiction and its relationship with quality of life in Chinese university students. PeerJ. 2020;8:e8859. doi:10.7717/peerj.8859
   PubMed Web of Science ®Google Scholar
• Lepp A, Barkley JE, Karpinski AC. The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Comput Human Behav. 2014;31:343–350. doi:10.1016/j.chb.2013.10.049
   Web of Science ®Google Scholar
• Çağan Ö, Ünsal A, Çelik N. Evaluation of college students’ the level of addiction to cellular phone and investigation on the relationship between the addiction and the level of depression. Procedia Soc Behavioral Sci. 2014;114:831–839. doi:10.1016/j.sbspro.2013.12.793
   Google Scholar
• Shu X, Miao Y. Research on the impact of artificial intelligence recommendation on academic procrastination under the background of big data——The mediating role of mobile phone addiction. J Phys Conf Ser. 2021;1948(1):012001.
   Google Scholar
• Roberts J, Yaya L, Manolis C. The invisible addiction: cell-phone activities and addiction among male and female college students. J Behav Addict. 2014;3(4):254–265. doi:10.1556/JBA.3.2014.015
   PubMed Web of Science ®Google Scholar
• North D, Johnston K, Ophoff J. The use of mobile phones by South African university students. Issues Informing Sci Inf Technol. 2014;11:115–138. doi:10.28945/1984
   Google Scholar
• Mei S, Chai J, Wang SB, et al. Mobile phone dependence, social support and impulsivity in Chinese university students. Int J Environ Res Public Health. 2018;15(3):504–510. doi:10.3390/ijerph15030504
   PubMed Web of Science ®Google Scholar
• Emanuel RC. The American college student cell phone survey. Coll Stud J. 2013;47(1):75–81.
   Google Scholar
• Manyanga T, Pelletier C, Prince SA, et al. A comparison of meeting physical activity and screen time recommendations between Canadian youth living in rural and urban communities: a nationally representative cross-sectional analysis. Int J Environ Res Public Health. 2022;19(7):1–13. doi:10.3390/ijerph19074394
   Web of Science ®Google Scholar
• Jonnatan L, Seaton CL, Rush KL, et al. Mobile device usage before and during the COVID-19 pandemic among rural and urban adults. Int J Environ Res Public Health. 2022;19(14):1–17. doi:10.3390/ijerph19148231
   Web of Science ®Google Scholar
• Toda M, Ezoe S, Takeshita T. Mobile phone use and stress-coping strategies of medical students. Int J Cyber Behav Psychol Learn. 2014;4(4):41–46. doi:10.4018/ijcbpl.2014100104
   Google Scholar
• Lee JY, Ban D, Kim SY, et al. Negative life events and problematic internet use as factors associated with psychotic-like experiences in adolescents. Front Psychiatry. 2019;10:369. doi:10.3389/fpsyt.2019.00369
   PubMed Web of Science ®Google Scholar
• Updegraff JA, Taylor SE. From vulnerability to growth: positive and negative effects of stressful life events. In: Harvey JH, Miller ED, editors. Loss and Trauma: General and Close Relationship Perspectives. 2000:2000:3–28.
   Google Scholar
• Kuang-Tsan C, Fu-Yuan H. Study on relationship among university students’ life stress, smart mobile phone addiction, and life satisfaction. J Adult Dev. 2017;24(2):109–118. doi:10.1007/s10804-016-9250-9
   Web of Science ®Google Scholar
• Liu QQ, Zhang DJ, Yang XJ, et al. Perceived stress and mobile phone addiction in Chinese adolescents: a moderated mediation model. Comput Human Behav. 2018;87:247–253. doi:10.1016/j.chb.2018.06.006
   Web of Science ®Google Scholar
• Li S, Zhang H, Cheng L, et al. Negative life events and Internet addiction among Mainland Chinese teenagers and young adults: a meta-analysis. Soc Behav Pers. 2020;48(10):1–10.
   Web of Science ®Google Scholar
• Choe C, Yu S. The reciprocal relationship between mobile phone dependence and school adaptation in Korean adolescents: autoregressive cross-lagged modeling. Acta Psychologica. 2022;228:103628. doi:10.1016/j.actpsy.2022.103628
   PubMed Web of Science ®Google Scholar
• Wang Y, Yang H, Montag C, et al. Boredom proneness and rumination mediate relationships between depression and anxiety with problematic smartphone use severity. Curr Psychol. 2020;2020:1–11.
   Google Scholar
• Lee FKS, Zelman DC. Boredom proneness as a predictor of depression, anxiety and stress: the moderating effects of dispositional mindfulness. Pers Individ Dif. 2019;146:68–75. doi:10.1016/j.paid.2019.04.001
   Web of Science ®Google Scholar
• Larche CJ, Dixon MJ. Winning isn’t everything: the impact of optimally challenging smartphone games on flow, game preference and individuals gaming to escape aversive bored states. Comput Human Behav. 2021;123:106857. doi:10.1016/j.chb.2021.106857
   Web of Science ®Google Scholar
• Tam KYY, Van Tilburg WAP, Chan CS, et al. Attention drifting in and out: the boredom feedback model. Pers Soc Psychol Rev. 2021;25(3):251–272. doi:10.1177/10888683211010297
   PubMed Web of Science ®Google Scholar
• Yan L, Gan Y, Ding X, et al. The relationship between perceived stress and emotional distress during the COVID-19 outbreak: effects of boredom proneness and coping style. J Anxiety Disord. 2021;77:102328. doi:10.1016/j.janxdis.2020.102328
   PubMed Web of Science ®Google Scholar
• Boylan J, Seli P, Scholer AA, et al. Boredom in the COVID-19 pandemic: trait boredom proneness, the desire to act, and rule-breaking. Pers Individ Dif. 2021;171:110387. doi:10.1016/j.paid.2020.110387
   PubMed Web of Science ®Google Scholar
• Zhang Y, Li S, Yu G. The longitudinal relationship between boredom proneness and mobile phone addiction: evidence from a cross-lagged model. Curr Psychol. 2021;2021:1–8.
   Google Scholar
• Cohen S, Murphy MLM, Prather AA. Ten surprising facts about stressful life events and disease risk. Ann Rev Psychol. 2019;70:577–597. doi:10.1146/annurev-psych-010418-102857
   PubMed Web of Science ®Google Scholar
• Spaeth M, Weichold K, Silbereisen RK. The development of leisure boredom in early adolescence: predictors and longitudinal associations with delinquency and depression. Dev Psychol. 2015;51(10):1380. doi:10.1037/a0039480
   PubMed Web of Science ®Google Scholar
• Weybright EH, Schulenberg J, Caldwell LL. More bored Choe C,y than yesterday? National trends in adolescent boredom from 2008 to 2017. J Adolesc Health. 2020;66(3):360–365. doi:10.1016/j.jadohealth.2019.09.021
   PubMed Web of Science ®Google Scholar
• Parasuraman S, Sam AT, Yee SWK, et al. Smartphone usage and increased risk of mobile phone addiction: a concurrent study. Int J Pharm Investig. 2017;7(3):125. doi:10.4103/jphi.JPHI_56_17
   PubMedGoogle Scholar
• Kiran S, Sanjana J, Reddy NJ. Mobile phone addiction: symptoms, impacts and causes-a review. Int Conf Trends Ind Value Eng Bus Soc Innov. 2019;2019:81–86.
   Google Scholar
• Carpenter R. A review of instruments on cognitive appraisal of stress. Arch Psychiatr Nurs. 2016;30(2):271–279. doi:10.1016/j.apnu.2015.07.002
   PubMed Web of Science ®Google Scholar
• Rogowska AM, Kuśnierz C, Ochnik D. Changes in stress, coping styles, and life satisfaction between the first and second waves of the COVID-19 pandemic: a longitudinal cross-lagged study in a sample of university students. J Clin Med. 2021;10(17):1–21. doi:10.3390/jcm10174025
   Web of Science ®Google Scholar
• Humphrey A, Vari O. Meaning matters: self-perceived meaning in life, its predictors and psychological stressors associated with the COVID-19 pandemic. Behav Sci (Basel). 2021;11(4):50. doi:10.3390/bs11040050
   PubMedGoogle Scholar
• Li M, Jiang X, Ren Y. Mediator effects of positive emotions on social support and depression among adolescents suffering from mobile phone addiction. Psychiatr Danub. 2017;29(2):207–213. doi:10.24869/psyd.2017.207
   PubMed Web of Science ®Google Scholar
• Li J, Zhan D, Zhou Y, et al. Loneliness and problematic mobile phone use among adolescents during the COVID-19 pandemic: the roles of escape motivation and self-control. Addict Behav. 2021;118:106857. doi:10.1016/j.addbeh.2021.106857
   PubMed Web of Science ®Google Scholar
• Sabapathi V, Vijayakumar KP. A study of addiction behavior for smart psychological health care system. role of edge analytics in sustainable smart city development. Challeng Solut. 2020;2020:257–272.
   Google Scholar
• Tam KYY, Van Tilburg WAP, Chan CS. What is boredom proneness? A comparison of three characterizations. J Pers. 2021;89(4):831–846. doi:10.1111/jopy.12618
   PubMed Web of Science ®Google Scholar
• Whelan E, Islam AKMN, Brooks S. Is boredom proneness related to social media overload and fatigue? A stress–strain–outcome approach. Inter Res. 2020;30:869–887. doi:10.1108/INTR-03-2019-0112
   Google Scholar
• Struk AA, Scholer AA, Danckert J. A self-regulatory approach to understanding boredom proneness. Cogn Emot. 2016;30(8):1388–1401. doi:10.1080/02699931.2015.1064363
   PubMed Web of Science ®Google Scholar
• Dang V, Lench HC. The struggle to entertain yourself: consequences of the internal stimulation factor of boredom proneness during pandemic lockdown. Behav Sci (Basel). 2022;12(9):303. doi:10.3390/bs12090303
   PubMedGoogle Scholar
• Mei S, Hu Y, Wu X, et al. Health risks of mobile phone addiction among college students in China. Int J Ment Health Addict. 2022;2022:1–16.
   Google Scholar