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ORIGINAL RESEARCH

The Association Between Intolerance of Uncertainty and Mobile Phone Addiction Among Overseas Chinese Students During COVID-19: The Mediating Roles of Perceived Stress and Rumination

ORCID Icon, ORCID Icon, ORCID Icon &
Pages 2573-2585 | Received 11 Mar 2024, Accepted 23 May 2024, Published online: 03 Jul 2024

References

  • Espitia A, Mattoo A, Rocha N, Ruta M, Winkler D. Pandemic trade: COVID-19, remote work and global value chains. World Econ. 2022;45(2):561–589. doi:10.1111/twec.13117
  • Rozgonjuk D, Elhai JD, Täht K, Vassil K, Levine JC, Asmundson GJG. Non-social smartphone use mediates the relationship between intolerance of uncertainty and problematic smartphone use: evidence from a repeated-measures study. Comput Human Behav. 2019;96:56–62. doi:10.1016/j.chb.2019.02.013
  • Mannion KH, Nolan SA. The effect of smartphones on anxiety: an attachment issue or fear of missing out? Cogent Psychol. 2020;7:1869378.
  • Savci M, Tekin A, Elhai JD. Prediction of problematic social media use (PSU) using machine learning approaches. Curr Psychol. 2022;41(5):2755–2764. doi:10.1007/s12144-020-00794-1
  • Nikhita CS, Jadhav PR, Ajinkya SA. Prevalence of mobile phone dependence in secondary school adolescents. J Clin Diagn Res. 2015;9(11):VC06- VC09. doi:10.7860/JCDR/2015/14396.6803
  • Kim JH, Seo M, David P. Alleviating depression only to become problematic mobile phone users: can face-to-face communication be the antidote? Comput Human Behav. 2015;51:440–447. doi:10.1016/j.chb.2015.05.030
  • Elhai JD, Dvorak RD, Levine JC, Hall BJ. Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology. J Affect Disord. 2017;207:251–259. doi:10.1016/j.jad.2016.08.030
  • Demirci K, Akgönül M, Akpinar A. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict. 2015;4(2):85–92. doi:10.1556/2006.4.2015.010
  • Ng KC, Wu LH, Lam HY, et al. The relationships between mobile phone use and depressive symptoms, bodily pain, and daytime sleepiness in Hong Kong secondary school students. Addict Behav. 2020;101:105975. doi:10.1016/j.addbeh.2019.04.033
  • Seo DG, Park Y, Kim MK, Park J. Mobile phone dependency and its impacts on adolescents’ social and academic behaviors. Comput Human Behav. 2016;63:282–292. doi:10.1016/j.chb.2016.05.026
  • Garfin DR, Silver RC, Holman EA. The novel coronavirus (COVID-2019) outbreak: amplification of public health consequences by media exposure. Health Psychol. 2020;39(5):355–357. doi:10.1037/hea0000875
  • Schimmenti A, Billieux J, Starcevic V. The four horsemen of fear: an integrated model of understanding fear experiences during the COVID-19 pandemic. Clin Neuropsychiatry. 2020;17(2):41–45. doi:10.36131/CN20200202
  • Luo R, Li Q, Meng G, et al. The association between intolerance of uncertainty and internet addiction during the second wave of the coronavirus disease 2019 pandemic: a multiple mediation model considering depression and risk perception. PsyCh J. 2022;11(3):383–391. doi:10.1002/pchj.545
  • Satici B, Saricali M, Satici SA, Griffiths MD. Intolerance of uncertainty and mental wellbeing: serial mediation by rumination and fear of COVID-19. Int J Ment Health Addict. 2020;2020:1.
  • Carleton RN, Norton MA, Asmundson GJ. Fearing the unknown: a short version of the Intolerance of Uncertainty Scale. J Anxiety Disord. 2007;21(1):105–117. doi:10.1016/j.janxdis.2006.03.014
  • Ladouceur R, Gosselin P, Dugas MJ. Experimental manipulation of intolerance of uncertainty: a study of a theoretical model of worry. Behav Res Ther. 2000;38(9):933–941. doi:10.1016/S0005-7967(99)00133-3
  • Buhr K, Dugas MJ. Investigating the construct validity of intolerance of uncertainty and its unique relationship with worry. J Anxiety Disord. 2006;20(2):222–236. doi:10.1016/j.janxdis.2004.12.004
  • Freeston MH, Rhéaume J, Letarte H, Dugas MJ, Ladouceur R. Why do people worry? Pers Individ Dif. 1994;17(6):791–802. doi:10.1016/0191-8869(94)90048-5
  • Sexton KA, Dugas MJ. Defining distinct negative beliefs about uncertainty: validating the factor structure of the Intolerance of Uncertainty Scale. Psychol Assess. 2009;21(2):176–186. doi:10.1037/a0015827
  • McEvoy PM, Hyett MP, Shihata S, Price JE, Strachan L. The impact of methodological and measurement factors on transdiagnostic associations with intolerance of uncertainty: a meta-analysis. Clin Psychol Rev. 2019;73:101778. doi:10.1016/j.cpr.2019.101778
  • Jacoby RJ, Fabricant LE, Leonard RC, Riemann BC, Abramowitz JS. Just to be certain: confirming the factor structure of the Intolerance of Uncertainty Scale in patients with obsessive-compulsive disorder. J Anxiety Disord. 2013;27(5):535–542. doi:10.1016/j.janxdis.2013.07.008
  • Fetzner MG, Asmundson GJG, Carey C, et al. How do elements of a reduced capacity to withstand uncertainty relate to the severity of health anxiety? Cogn Behav Ther. 2014;43(3):262–274. doi:10.1080/16506073.2014.929170
  • Hamonniere T, Varescon I. Metacognitive beliefs in addictive behaviours: a systematic review. Addict Behav. 2018;85:51–63. doi:10.1016/j.addbeh.2018.05.018
  • Brown M, Robinson L, Campione GC, Wuensch K, Hildebrandt T, Micali N. Intolerance of uncertainty in eating disorders: a systematic review and meta-analysis. Eur Eat Disord Rev. 2017;25(5):329–343. doi:10.1002/erv.2523
  • Kraemer KM, McLeish AC, O’Bryan EM. The role of intolerance of uncertainty in terms of alcohol use motives among college students. Addict Behav. 2015;42:162–166. doi:10.1016/j.addbeh.2014.11.033
  • Kardefelt-Winther D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Comput Human Behav. 2014;31(1):351–354. doi:10.1016/j.chb.2013.10.059
  • Liu Y, Ni X, Niu G. Perceived stress and short-form video application addiction: a moderated mediation model. Front Psychol. 2021;12:1–8. doi:10.3389/fpsyg.2021.747656
  • Reizer A, Galperin BL, Chavan M, Behl A, Pereira V. Examining the relationship between fear of COVID-19, intolerance for uncertainty, and cyberloafing: a mediational model. J Bus Res. 2022;145:660–670. doi:10.1016/j.jbusres.2022.03.037
  • Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–396. doi:10.2307/2136404
  • Demirtas AS, Yildiz B. Hopelessness and perceived stress: the mediating role of cognitive flexibility and intolerance of uncertainty. Dusunen Adam. 2019;32(3):259–267.
  • Carleton RN. The intolerance of uncertainty construct in the context of anxiety disorders: theoretical and practical perspectives. Expert Rev Neurother. 2012;12(8):937–947. doi:10.1586/ern.12.82
  • Dugas MJ, Hedayati M, Karavidas A, Buhr K, Francis K, Phillips NA. Intolerance of uncertainty and information processing: evidence of biased recall and interpretations. Cognit Ther Res. 2005;29(1):57–70. doi:10.1007/s10608-005-1648-9
  • Palma EMS, Reis de Sousa A, Andrade de Morais F, Evangelista Luz R, Freitas Neto ÁL, Lima PPF. Co** moderates the relationship between intolerance of uncertainty and stress in men during the Covid-19 pandemic. Revista da Escola de Enfermagem da USP. 2022;56:e103.
  • Rettie H, Daniels J. Coping and tolerance of uncertainty: predictors and mediators of mental health during the COVID-19 pandemic. Am Psychol. 2020;1–12. doi:10.1037/amp0000710
  • Busch PA, McCarthy S. Antecedents and consequences of problematic smartphone use: a systematic literature review of an emerging research area. Comput Human Behav. 2021;114:106414.
  • Gökçearslan Ş, Uluyol Ç, Şahin S. Smartphone addiction, cyberloafing, stress and social support among university students: a path analysis. Child Youth Serv Rev. 2018;91:47–54. doi:10.1016/j.childyouth.2018.05.036
  • Agnew R. Foundation for a general strain theory of crime and delinquency. Criminology. 1992;30(1):47–88. doi:10.1111/j.1745-9125.1992.tb01093.x
  • Liu Q, Zhang D, Yang X, 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
  • Chen CY, Hong RY. Intolerance of uncertainty moderates the relation between negative life events and anxiety. Pers Individ Dif. 2010;49(1):49–53. doi:10.1016/j.paid.2010.03.006
  • Peng Y, Zhou H, Zhang B, et al. Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: the mediating roles of rumination and the moderating role of self-control. Pers Individ Dif. 2022;185:111222. doi:10.1016/j.paid.2021.111222
  • Nolen-Hoeksema S. Responses to depression and their effects on the duration of depressive episodes. J Abnorm Psychol. 1991;100(4):569–582. doi:10.1037//0021-843x.100.4.569
  • Pössel P. Can Beck’s theory of depression and the response style theory be integrated? J Couns Psychol. 2011;58(4):618–629. doi:10.1037/a0025092
  • Nolen-Hoeksema S, McBride A, Larson J. Rumination and psychological distress among bereaved partners. J Pers Soc Psychol. 1997;72(4):855–862. doi:10.1037/0022-3514.72.4.855
  • Treynor W, Gonzalez R, Nolen-Hoeksema S. Ruminative reconsidered: a psychometric analysis. Cogn Ther Res. 2003;27(3):247–259. doi:10.1023/A:1023910315561
  • Watkins ER, Roberts H. Reflecting on rumination: consequences, causes, mechanisms and treatment of rumination. Behav Res Ther. 2020;127:103573. doi:10.1016/j.brat.2020.103573
  • Bravo AJ, Kelley ML, Mason R, Ehlke SJ, Vinci C, Redman JC. Rumination as a mediator of the associations between moral injury and mental health problems in combat-wounded veterans. Traumatology. 2019;26(1):52–60. doi:10.1037/trm0000198
  • Genet JJ, Siemer M. Rumination moderates the effects of daily events on negative mood: results from a diary study. Emotion. 2012;12(6):1329–1339. doi:10.1037/a0028070
  • Jong-Meyer DR, Beck B, Riede K. Relationships between rumination, worry, intolerance of uncertainty and metacognitive beliefs. Personal Individ Differ. 2009;46(4):547–551. doi:10.1016/j.paid.2008.12.010
  • Davis RA. Cognitive-behavioral model of pathological internet use. Comput Human Behav. 2001;17(2):187–195. doi:10.1016/S0747-5632(00)00041-8
  • Brand M, Young KS, Laier C, Wölfling K, Potenza MN. Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: an interaction of person-affect-cognition-execution (I-PACE) model. Neurosci Biobehav Rev. 2016;71:252–266. doi:10.1016/j.neubiorev.2016.08.033
  • Sim M, Kim SY, Suh Y. Sample size requirements for simple and complex mediation models. Educ Psychol Meas. 2022;82(1):76–106. doi:10.1177/00131644211003261
  • Schoemann AM, Boulton AJ, Short SD. Determining power and sample size for simple and complex mediation models. Soc Psychol Pers Sci. 2017;8(4):379–386. doi:10.1177/1948550617715068
  • Wu LJ, Wang JN, Qi XD. Validity and reliability of the Intolerance of Uncertainty Scale-12 in middle school students. Chin Ment Health J. 2016;30(09):700–705.
  • Kwon M, Lee JY, Won WY, et al. Development and validation of a smartphone addiction scale (SAS). PLoS One. 2013;8(2):1.
  • Xiang MQ, Wang ZR, Ma B. Reliability and validity of Chinese version of the smartphone addiction scale in adolescents. Chin J Clin Psychol. 2019;27(05):959–964.
  • Lopez-Fernandez O. Short version of the smartphone addiction scale adapted to Spanish and French: towards a cross-cultural research in problematic mobile phone use. Addict Behav. 2017;64:275–280. doi:10.1016/j.addbeh.2015.11.013
  • Zhao H, Rafik-Galea S, Fitriana M, Song TJ. Translation and psychometric evaluation of smartphone addiction scale-short version (SAS-SV) among Chinese college students. PLoS One. 2022;17(5):e0278092. doi:10.1371/journal.pone.0278092
  • Yang TZ, Huang HT. An epidemiological study on stress among urban residents in social transition period. Chin J Epidemiol. 2003;24(9):760–764.
  • Shen X, Wang J. Loneliness and excessive smartphone use among Chinese college students: moderated mediation effect of perceived stressed and motivation. Comput Human Behav. 2019;95:31–36. doi:10.1016/j.chb.2019.01.012
  • Han X, Yang HF. Chinese version of Nolen-Hoeksema ruminative responses scale (RRS) used in 912 college students: reliability and validity. Chin J Clin Psychol. 2009;17(5):550–551.
  • Nolen-Hoeksema S, Morrow J. A prospective study of depression and posttraumatic stress symptoms after a natural disaster: the 1989 Loma Prieta earthquake. J Pers Soc Psychol. 1991;61(1):115. doi:10.1037//0022-3514.61.1.115
  • Lei X, Zhong M, Liu Y, et al. Psychometric properties of the 10-item ruminative response scale in Chinese university students. BMC Psychiatry. 2017;17:152. doi:10.1186/s12888-017-1318-y
  • Steiger JH. A note on multiple sample extensions of the RMSEA fit index. Struct Equation Model. 1998;5:411–419. doi:10.1080/10705519809540115
  • Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107(2):238–246. doi:10.1037/0033-2909.107.2.238
  • Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equation Model. 1999;6(1):1–55.
  • Liu C, Ren L, Li K, et al. Understanding the association between intolerance of uncertainty and problematic smartphone use: a network analysis. Front Psychiatry. 2022;13:917833. doi:10.3389/fpsyt.2022.917833
  • Vujić A, Volarov M, Latas M, Demetrovics Z, Kiraly O, Szabo A. Are cyberchondria and intolerance of uncertainty related to smartphone addiction? Int J Ment Health Addict. 2023;2023:1–19.
  • Dhanalakshmi D. Perceived stress, cognitive distortion, sense of coherence and health among college students. Indian J Health Wellbeing. 2015;6(3):287–291.
  • Jensen D, Cohen JN, Mennin DS, Fresco DM, Heimberg RG. Clarifying the unique associations among intolerance of uncertainty, anxiety, and depression. Cogn Behav Ther. 2016;45(6):431–444. doi:10.1080/16506073.2016.1197308
  • Littlewood DL, Gooding PA, Panagioti M, Kyle SD. Nightmares and suicide in posttraumatic stress disorder: the mediating role of defeat, entrapment, and hopelessness. J Clin Sleep Med. 2016;12(3):393–399. doi:10.5664/jcsm.5592
  • Doğanülkü HA, Korkmaz O, Griffiths MD, Pakpour AH. Fear of COVID-19 lead to procrastination among Turkish university students: the mediating role of intolerance of uncertainty. BMC Psychology. 2021;9:1–8. doi:10.1186/s40359-021-00681-9
  • Doğanülkü HA. Life goals and proactive career behaviors: the mediating role of visions about the future and the moderating role of intolerance of uncertainty. Curr Psychol. 2024;43(1):72–84.
  • Hasan N, Bao Y. Impact of “e-learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: a mediating role of “fear of academic year loss”. Child Youth Serv Rev. 2020;118:9.
  • Mittelmeier J, Cockayne H. Global depictions of international students in a time of crisis: a thematic analysis of Twitter data during COVID-19. Int Stud Sociol Educ. 2020;2020:1.
  • Chen JT, Lovibond PF. Intolerance of uncertainty is associated with increased threat appraisal and negative affect under ambiguity but not uncertainty. Behav Ther. 2016;47(1):42–53. doi:10.1016/j.beth.2015.09.004
  • Lyubomirsky S, Nolen-Hoeksema S. Effects of self-focused rumination on negative thinking and interpersonal problem solving. J Pers Soc Psychol. 1995;69(1):176–190. doi:10.1037/0022-3514.69.1.176
  • Chen JJ, Li HP, Yang YJ. Mediation effect of psychological resilience in the relationship between mobile phone addiction and mental health in college students. Mod Prevent Med. 2020;47(01):93–96.
  • Reeve KL, Shumaker CJ, Yearwood EL, Crowell NA, Riley JB. Perceived stress and social support in undergraduate nursing students’ educational experiences. Nurse Educ Today. 2013;33(4):419–424. doi:10.1016/j.nedt.2012.11.009
  • Lee SJ, Moon HJ. Effects of self-control, parent-adolescent communication, and school life satisfaction on smart-phone addiction for middle school students. Korean J Hum Ecol. 2013;22(6):587–598. doi:10.5934/kjhe.2013.22.6.587
  • Sahu M, Gandhi S, Sharma MK. Mobile phone addiction among children and adolescents: a systematic review. J Addictions Nurs. 2019;30(4):261–268.
  • Vanden Abeele M, Beullens K, Roe K. Measuring mobile phone use: gender, age and real usage level in relation to the accuracy and validity of self-reported mobile phone use. Mobile Media Commun. 2013;1(2):213–236. doi:10.1177/2050157913477095