The effect of mobile phone addiction on perceived stress and mediating role of ruminations: Evidence from Chinese and Czech university students
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic-ecollection
Document type Journal Article
PubMed
36600696
PubMed Central
PMC9806227
DOI
10.3389/fpsyg.2022.1057544
Knihovny.cz E-resources
- Keywords
- China, Czech Republic, cross-cultural differences, mediation, mobile phone addiction, perceived stress, rumination, university students,
- Publication type
- Journal Article MeSH
INTRODUCTION: The rise in the capabilities of mobile devices and the associated increase in the proportion of time we spend on them has not only positive benefits but also several risks, including mobile phone addiction and its consequences. The complex mechanisms of the impact of this addiction on mental health, especially in a cross-cultural context, however, remain relatively unknown. The aim of this cross-cultural study was to investigate the mediating role of rumination on the association between mobile phone addiction and perceived stress. METHODS: A population of 358 Chinese and 282 Czech university students was tested using a battery of validated psychological tests that included a short version of the Smartphone Addiction Scale, the Ruminative Response Scale, and the Perceived Stress Scale. RESULTS: The results showed significant cross-cultural differences with Czech students manifesting greater rumination (d = 0.79) and perceived stress (d = 0.42) and Chinese students showing greater mobile phone addiction (d = 1.01). Mediation analyses showed that the effect of mobile phone addiction on stress levels was mediated through the rumination in both populations (45.6% and 80.9% of the explained variance for Chinese and Czech students, respectively) and did not differ between the two countries (estimate of difference [95%CI] = -0.052[-0.166, 0.037], p = 0.27). In contrast, the significant direct effect of mobile phone addiction on perceived stress was only present in Chinese students, where it was marginally larger than the indirect effect. In Czech students, the direct effect was not manifested and the difference between countries was significant (estimate of difference [95%CI] = 0.242 [0.035, 0.413], p < 0.001). In all of the cases, the association between the variables was positive, i.e., as one grew, so did the other. Finally, a moderated-mediation analysis confirmed that country of origin significantly moderated only the direct relationship between mobile phone dependence and perceived stress (p = 0.002). DISCUSSION: These results suggest that the mechanism of interaction between excessive mobile phone use and perceived stress is culturally conditioned, which may limit the transferability of research findings in a global context and requires further cross-cultural studies.
See more in PubMed
Al Qudah M. F., Albursan I. S., Hammad H. I., Alzoubi A. M., Bakhiet S. F., Almanie A. M., et al. . (2021). Anxiety about COVID-19 infection, and its relation to smartphone addiction and demographic variables in middle eastern countries. Int. J. Environ. Res. Public Health 18:11016. doi: 10.3390/ijerph182111016, PMID: PubMed DOI PMC
App Annie . (2020). The State of Mobile in 2020. Available at: https://gertkoot.files.wordpress.com/2020/01/2001_state_of_mobile_2020_main_en-1.pdf (Accessed May 14, 2022).
Assor A., Benita M., Yitshaki N., Geifman Y., Maree W. (2020). Sense of authentic inner compass as a moral resource across cultures: possible implications for resisting negative peer-pressure and for parenting. J. Moral Educ. 49, 346–364. doi: 10.1080/03057240.2020.1727423 DOI
Auter P. J. (2007). Portable social groups: willingness to communicate, interpersonal communication gratifications, and cell phone use among young adults. Int. J. Mob. Commun. 5:139. doi: 10.1504/IJMC.2007.011813 DOI
Balkis M. (2013). Academic procrastination, academic life satisfaction and academic achievement: the mediation role of rational beliefs about studying. J. Cogn. Behav. Psychother. 13, 57–74. 10.1007/s10212-012-0142-5 DOI
Billieux J., Maurage P., Lopez-Fernandez O., Kuss D. J., Griffiths M. D. (2015). Can disordered Mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Curr. Addict. Rep. 2, 156–162. doi: 10.1007/s40429-015-0054-y DOI
Brailovskaia J., Stirnberg J., Rozgonjuk D., Margraf J., Elhai J. D. (2021). From low sense of control to problematic smartphone use severity during Covid-19 outbreak: the mediating role of fear of missing out and the moderating role of repetitive negative thinking. PLoS One 16:e0261023. doi: 10.1371/journal.pone.0261023, PMID: PubMed DOI PMC
Browning M. H. E. M., Larson L. R., Sharaievska I., Rigolon A., McAnirlin O., Mullenbach L., et al. . (2021). Psychological impacts from COVID-19 among university students: risk factors across seven states in the United States. PLoS One 16:e0245327. doi: 10.1371/journal.pone.0245327, PMID: PubMed DOI PMC
Byun Y.-H., Ha M., Kwon H.-J., Hong Y.-C., Leem J.-H., Sakong J., et al. . (2013). Mobile phone use, blood Lead levels, and attention deficit hyperactivity symptoms in children: a longitudinal study. PLoS One 8:e59742. doi: 10.1371/journal.pone.0059742, PMID: PubMed DOI PMC
Cao W., Fang Z., Hou G., Han M., Xu X., Dong J., et al. . (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 287:112934. doi: 10.1016/j.psychres.2020.112934, PMID: PubMed DOI PMC
Cha S.-S., Seo B.-K. (2018). Smartphone use and smartphone addiction in middle school students in Korea: prevalence, social networking service, and game use. Health Psychol. Open 5:205510291875504. doi: 10.1177/2055102918755046, PMID: PubMed DOI PMC
Cheng S., An D., Yao Z., Liu J. J.-W., Ning X., Wong J. P.-H., et al. . (2021). Association between mental health knowledge level and depressive symptoms among Chinese college students. Int. J. Environ. Res. Public Health 18:1850. doi: 10.3390/ijerph18041850, PMID: PubMed DOI PMC
Chiu S.-I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: a mediation model of learning self-efficacy and social self-efficacy. Comput. Hum. Behav. 34, 49–57. doi: 10.1016/j.chb.2014.01.024 DOI
Cohen S., Kamarck T., Mermelstein R. (1983). A global measure of perceived stress. J. Health Soc. Behav. 24, 385–396. doi: 10.2307/2136404 PubMed DOI
Cohen S., Williamson G. M. (1988). “Perceived stress in a probability sample of the United States” in The Claremont Symposium on Applied Social Psychology. The Social Psychology of Health. eds. Spacapan S., Oskamp S. (Thousand Oaks, CA: Sage Publications, Inc; ), 31–67.
Daly M., Sutin A. R., Robinson E. (2020). Longitudinal changes in mental health and the COVID-19 pandemic: evidence from the UK household longitudinal study. Psychol. Med. 52, 2549–2558. doi: 10.1017/S0033291720004432, PMID: PubMed DOI PMC
Davis R. A. (2001). A cognitive-behavioral model of pathological internet use. Comput. Hum. Behav. 17, 187–195. doi: 10.1016/S0747-5632(00)00041-8 DOI
Elhai J. D., Yang H., Montag C. (2019). Cognitive-and emotion-related dysfunctional coping processes: Transdiagnostic mechanisms explaining depression and Anxiety’s relations with problematic smartphone use. Curr. Addict. Rep. 6, 410–417. doi: 10.1007/s40429-019-00260-4 DOI
Ettman C. K., Cohen G. H., Abdalla S. M., Sampson L., Trinquart L., Castrucci B. C., et al. . (2022). Persistent depressive symptoms during COVID-19: a national, population-representative, longitudinal study of U.S. adults. Lancet Reg. Health Am. 5:100091. doi: 10.1016/j.lana.2021.100091, PMID: PubMed DOI PMC
Feinstein B. A., Hershenberg R., Bhatia V., Latack J. A., Meuwly N., Davila J. (2013). Negative social comparison on Facebook and depressive symptoms: rumination as a mechanism. Psychol. Pop. Media Cult. 2, 161–170. doi: 10.1037/a0033111 DOI
Feng B., Sun W. (2022). Bedtime procrastination and fatigue in Chinese college students: the mediating role of Mobile phone addiction. Int. J. Ment. Heal. Addict. 20, 1–14.doi: 10.1007/s11469-022-00796-z DOI
Firth J., Torous J., Nicholas J., Carney R., Pratap A., Rosenbaum S., et al. . (2017). The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry 16, 287–298. doi: 10.1002/wps.20472, PMID: PubMed DOI PMC
Fruehwirth J. C., Biswas S., Perreira K. M. (2021). The Covid-19 pandemic and mental health of first-year college students: examining the effect of Covid-19 stressors using longitudinal data. PLoS One 16:e0247999. doi: 10.1371/journal.pone.0247999, PMID: PubMed DOI PMC
Gao T., Li J., Zhang H., Gao J., Kong Y., Hu Y., et al. . (2018). The influence of alexithymia on mobile phone addiction: the role of depression, anxiety and stress. J. Affect. Disord. 225, 761–766. doi: 10.1016/j.jad.2017.08.020, PMID: PubMed DOI
Griffiths M. D. (1995). Technological addictions. Clinical psychology. Forum 76, 14–19.
Griffiths M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. J. Subst. Abus. 10, 191–197. doi: 10.1080/14659890500114359 DOI
Han D. L., Qi Z. F. (2005). Psychological analysis of college students’ mobile phone addiction. Contemp. Youth Stud. 12, 34–38. 10.3969/j.issn.1006-1789.2005.12.010 DOI
Hossain S. F. A. (2019). Social networking and its role in media entrepreneurship. J. Media Manag. Entrep. 1, 73–86. doi: 10.4018/JMME.2019010105 DOI
Ibrahim N. K., Baharoon B. S., Banjar W. F., Jar A. A., Ashor R. M., Aman A. A., et al. . (2018). Mobile phone addiction and its relationship to sleep quality and academic achievement of medical students at king Abdulaziz university, Jeddah, Saudi Arabia. J. Res. Health Sci. 18:e00420 PMID: PubMed PMC
Jia R., Ayling K., Chalder T., Massey A., Gasteiger N., Broadbent E., et al. . (2022). The prevalence, incidence, prognosis and risk factors for symptoms of depression and anxiety in a UK cohort during the COVID-19 pandemic. BJPsych Open 8:e64. doi: 10.1192/bjo.2022.34, PMID: PubMed DOI PMC
Joormann J., Quinn M. E. (2014). Cognitive processes and emotion regulation in depression. Depress Anxiety 31, 308–315. doi: 10.1002/da.22264 PubMed DOI
Kaiseler M., Poolton J. M., Backhouse S. H., Stanger N. (2017). The relationship between mindfulness and life stress in student-athletes: the mediating role of coping effectiveness and decision rumination. Sport Psychol. 31, 288–298. doi: 10.1123/tsp.2016-0083 DOI
Kayis A. R., Satici B., Deniz M. E., Satici S. A., Griffiths M. D. (2021). Fear of COVID-19, loneliness, smartphone addiction, and mental wellbeing among the Turkish general population: a serial mediation model. Behav. Inform. Technol. 41, 2484–2496. doi: 10.1080/0144929X.2021.1933181 DOI
Kovács L. N., Baksa D., Dobos D., Eszlári N., Gecse K., Kocsel N., et al. . (2021). Perceived stress in the time of COVID-19: the association with brooding and COVID-related rumination in adults with and without migraine. BMC Psychol. 9:68. doi: 10.1186/s40359-021-00549-y, PMID: PubMed DOI PMC
Krasnova H., Abramova O., Notter I., Baumann A. (2016). Why Phubbing is Toxic for Your Relationship: Understanding the Role of Smartphone Jealousy Among "generation y" Users. European Conference in Information Systems.
Křeménková L., Novotný J. S., Kvintová J. (2021). Two waves of Covid-19 in university setting: mental health and underlying risk factors. Front. Psychol. 12:780071. doi: 10.3389/fpsyg.2021.780071, PMID: PubMed DOI PMC
Kuang-Tsan C., Fu-Yuan H. (2017). Study on relationship among university students’ life stress, smart Mobile phone addiction, and life satisfaction. J. Adult Dev. 24, 109–118. doi: 10.1007/s10804-016-9250-9 DOI
Kuss D. J., Griffiths M. D. (2011). Online social networking and addiction—a review of the psychological literature. Int. J. Environ. Res. Public Health 8, 3528–3552. doi: 10.3390/ijerph8093528, PMID: PubMed DOI PMC
Kwon M., Lee J.-Y., Won W.-Y., Park J.-W., Min J.-A., Hahn C., et al. . (2013). Development and validation of a smartphone addiction scale (SAS). PLoS One 8:e56936. doi: 10.1371/journal.pone.0056936, PMID: PubMed DOI PMC
Lee H., Masuda T., Ishii K., Yasuda Y., Ohtsubo Y. (2022). Cultural differences in the perception of daily stress between European Canadian and Japanese undergraduate students. Personal. Soc. Psychol. Bull. 014616722110703:014616722110703. doi: 10.1177/01461672211070360, PMID: PubMed DOI PMC
Lei L. Y.-C., Ismail M. A.-A., Mohammad J. A.-M., Yusoff M. S. B. (2020). The relationship of smartphone addiction with psychological distress and neuroticism among university medical students. BMC Psychol. 8:97. doi: 10.1186/s40359-020-00466-6, PMID: PubMed DOI PMC
Li L., Griffiths M. D., Mei S., Niu Z. (2020). Fear of missing out and smartphone addiction mediates the relationship between positive and negative affect and sleep quality among Chinese university students. Front. Psychiatry 11:877. doi: 10.3389/fpsyt.2020.00877, PMID: PubMed DOI PMC
Li Y., Gu S., Wang Z., Li H., Xu X., Zhu H., et al. . (2019). Relationship between stressful life events and sleep quality: rumination as a mediator and resilience as a moderator. Front. Psych. 10:348. doi: 10.3389/fpsyt.2019.00348, PMID: PubMed DOI PMC
Li C., Liu D., Dong Y. (2019). Self-esteem and problematic smartphone use among adolescents: a moderated mediation model of depression and interpersonal trust. Front. Psychol. 10:2872. doi: 10.3389/fpsyg.2019.02872, PMID: PubMed DOI PMC
Li X., Mu W., Wang Y., Xie P., Zhang Y., Liu T. (2022). Different roles of rumination and mindfulness among cyber-ostracized adolescents’ psychological well-being. Int. J. Environ. Res. Public Health 19:1222. doi: 10.3390/ijerph19031222, PMID: PubMed DOI PMC
Lian S.-L., Sun X.-J., Niu G.-F., Yang X.-J., Zhou Z.-K., Yang C. (2021). Mobile phone addiction and psychological distress among Chinese adolescents: the mediating role of rumination and moderating role of the capacity to be alone. J. Affect. Disord. 279, 701–710. doi: 10.1016/j.jad.2020.10.005, PMID: PubMed DOI PMC
Liu Q.-Q., Yang X.-J., Zhu X.-W., Zhang D.-J. (2021). Attachment anxiety, loneliness, rumination and mobile phone dependence: a cross-sectional analysis of a moderated mediation model. Curr. Psychol. 40, 5134–5144. doi: 10.1007/s12144-019-00464-x DOI
Liu Q.-Q., Zhou Z.-K., Yang X.-J., Kong F.-C., Niu G.-F., Fan C.-Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: a moderated mediation model. Comput. Hum. Behav. 72, 108–114. doi: 10.1016/j.chb.2017.02.042 DOI
Loleska S., Pop-Jordanova N. (2021). Is smartphone addiction in the younger population a public health problem? Prilozi 42, 29–36. doi: 10.2478/prilozi-2021-0032, PMID: PubMed DOI
Matar Boumosleh J., Jaalouk D. (2017). Depression, anxiety, and smartphone addiction in university students-a cross sectional study. PLoS One 12:e0182239. doi: 10.1371/journal.pone.0182239, PMID: PubMed DOI PMC
Mohamed N. H., Beckstein A., Hutchings P. B., Pang N. T. P., Dawood S. R. S., Fadilah R., et al. . (2022). Cross-cultural differences in psychological health, perceived stress, and coping strategies of university students during the COVID-19 pandemic. Eur. J. Mental Health 17, 65–77. doi: 10.5708/EJMH.17.2022.2.8 DOI
Morrison R., O’Connor R. C. (2005). Predicting psychological distress in college students: the role of rumination and stress. J. Clin. Psychol. 61, 447–460. doi: 10.1002/jclp.20021, PMID: PubMed DOI
Murdock K. K., Carlucci L., Balsamo M. (2019). A cross-cultural investigation of co-rumination via cellphone among emerging adults. J. Soc. Clin. Psychol. 38, 671–703. doi: 10.1521/jscp.2019.38.7.671 DOI
Nolen-Hoeksema S. (1991). Responses to depression and their effects on the duration of depressive episodes. J. Abnorm. Psychol. 100, 569–582. doi: 10.1037/0021-843X.100.4.569 PubMed DOI
Nolen-Hoeksema S., Wisco B. E., Lyubomirsky S. (2008). Rethinking rumination. Perspect. Psychol. Sci. 3, 400–424. doi: 10.1111/j.1745-6924.2008.00088.x, PMID: PubMed DOI
Novotný J. S., Gonzalez-Rivas J. P., Kunzová Š., Skladaná M., Pospíšilová A., Polcrová A., et al. . (2020). Risk factors underlying COVID-19 lockdown-induced mental distress. Front. Psych. 11:603014. doi: 10.3389/fpsyt.2020.603014, PMID: PubMed DOI PMC
Nurunnabi M., Almusharraf N., Aldeghaither D. (2021). Mental health and well-being during the COVID-19 pandemic in higher education: evidence from G20 countries. J. Public Health Res. 9:2010. doi: 10.4081/jphr.2020.2010, PMID: PubMed DOI PMC
O’Connor D. B., Wilding S., Ferguson E., Cleare S., Wetherall K., McClelland H., et al. . (2022). Effects of COVID-19-related worry and rumination on mental health and loneliness during the pandemic: longitudinal analyses of adults in the UK COVID-19 mental health & wellbeing study. J. Ment. Health, 1–12. doi: 10.1080/09638237.2022.2069716, PMID: PubMed DOI
Olson J. A., Sandra D. A., Colucci É. S., Al Bikaii A., Chmoulevitch D., Nahas J., et al. . (2022). Smartphone addiction is increasing across the world: a meta-analysis of 24 countries. Comput. Hum. Behav. 129:107138. doi: 10.1016/j.chb.2021.107138 DOI
Park N., Lee H. (2012). Social implications of smartphone use: Korean college students’ smartphone use and psychological well-being. Cyberpsychol. Behav. Soc. Netw. 15, 491–497. doi: 10.1089/cyber.2011.0580, PMID: PubMed DOI
Pavia L., Cavani P., Di Blasi M., Giordano C. (2016). Smartphone addiction inventory (SPAI): psychometric properties and confirmatory factor analysis. Comput. Hum. Behav. 63, 170–178. doi: 10.1016/j.chb.2016.05.039 DOI
Peng Y., Zhou H., Zhang B., Mao H., Hu R., Jiang H. (2022). 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. Personal. Individ. Differ. 185:111222. doi: 10.1016/j.paid.2021.111222, PMID: PubMed DOI PMC
Ramiz L., Contrand B., Rojas Castro M. Y., Dupuy M., Lu L., Sztal-Kutas C., et al. . (2021). A longitudinal study of mental health before and during COVID-19 lockdown in the French population. Glob. Health 17:29. doi: 10.1186/s12992-021-00682-8, PMID: PubMed DOI PMC
Ratan Z. A., Parrish A.-M., Zaman S. B., Alotaibi M. S., Hosseinzadeh H. (2021). Smartphone addiction and associated health outcomes in adult populations: a systematic review. Int. J. Environ. Res. Public Health 18:12257. doi: 10.3390/ijerph182212257, PMID: PubMed DOI PMC
Reinecke L., Aufenanger S., Beutel M. E., Dreier M., Quiring O., Stark B., et al. . (2017). Digital stress over the life span: the effects of communication load and internet multitasking on perceived stress and psychological health impairments in a German probability sample. Media Psychol. 20, 90–115. doi: 10.1080/15213269.2015.1121832 DOI
Roberts J. A., David M. E. (2016). My life has become a major distraction from my cell phone: partner phubbing and relationship satisfaction among romantic partners. Comput. Hum. Behav. 54, 134–141. doi: 10.1016/j.chb.2015.07.058 DOI
Rosen L. D., Whaling K., Carrier L. M., Cheever N. A., Rokkum J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Comput. Hum. Behav. 29, 2501–2511. doi: 10.1016/j.chb.2013.06.006, PMID: PubMed DOI PMC
Russo C., Terraneo M. (2020). Mental well-being among workers: a cross-national analysis of job insecurity impact on the workforce. Soc. Indic. Res. 152, 421–442. doi: 10.1007/s11205-020-02441-5 DOI
Samtani S., Moulds M. L. (2017). Assessing maladaptive repetitive thought in clinical disorders: a critical review of existing measures. Clin. Psychol. Rev. 53, 14–28. doi: 10.1016/j.cpr.2017.01.007, PMID: PubMed DOI
Scharf M., Rousseau S., Bsoul S. (2017). Overparenting and Young adults’ interpersonal sensitivity: cultural and parental gender-related diversity. J. Child Fam. Stud. 26, 1356–1364. doi: 10.1007/s10826-016-0652-x DOI
Schoeni A., Roser K., Röösli M. (2015). Symptoms and cognitive functions in adolescents in relation to Mobile phone use during night. PLoS One 10:e0133528. doi: 10.1371/journal.pone.0133528, PMID: PubMed DOI PMC
Serra G., Lo Scalzo L., Giuffrè M., Ferrara P., Corsello G. (2021). Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184 Italian children and adolescents. Ital. J. Pediatr. 47:150. doi: 10.1186/s13052-021-01102-8, PMID: PubMed DOI PMC
Son C., Hegde S., Smith A., Wang X., Sasangohar F. (2020). Effects of COVID-19 on college students’ mental health in the United States: interview survey study. J. Med. Internet Res. 22:e21279. doi: 10.2196/21279, PMID: PubMed DOI PMC
Thomée S., Härenstam A., Hagberg M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health 11:66. doi: 10.1186/1471-2458-11-66, PMID: PubMed DOI PMC
Tingley D., Yamamoto T., Hirose K., Keele L., Imai K. (2014). Mediation: R package for causal mediation analysis. J. Stat. Softw. 59, 1–38. doi: 10.18637/jss.v059.i05 PubMed DOI
Triandis H. C., Gelfand M. J. (2012). “A theory of individualism and collectivism” in Handbook of Theories of Social Psychology (Thousand Oaks, CA: SAGE Publications Ltd.), 498–520.
Viner R., Russell S., Saulle R., Croker H., Stansfeld C., Packer J., et al. . (2021). Impacts of school closures on physical and mental health of children and young people: a systematic review. Med Rxiv [Preprint]. doi: 10.1101/2021.02.10.21251526 DOI
Wacks Y., Weinstein A. M. (2021). Excessive smartphone use is associated with health problems in adolescents and Young adults. Front. Psych. 12:669042. doi: 10.3389/fpsyt.2021.669042, PMID: PubMed DOI PMC
Wang P., Wang X., Wu Y., Xie X., Wang X., Zhao F., et al. . (2018). Social networking sites addiction and adolescent depression: a moderated mediation model of rumination and self-esteem. Personal. Individ. Differ. 127, 162–167. doi: 10.1016/j.paid.2018.02.008 DOI
Xia C., Xiting H., Gang B. (2003). Psychological researches on internet addiction. Adv. Psychol. Sci. 11, 355–359. 10.3969/j.issn.1671-3710.2003.03.020 DOI
Xu Y., Su S., Jiang Z., Guo S., Lu Q., Liu L., et al. . (2021). Prevalence and risk factors of mental health symptoms and suicidal behavior among university students in Wuhan, China during the COVID-19 pandemic. Front. Psychiatry 12:1161. doi: 10.3389/FPSYT.2021.695017 PubMed DOI PMC
Xu T.-T., Wang H.-Z., Fonseca W., Zimmerman M. A., Rost D. H., Gaskin J., et al. . (2019). The relationship between academic stress and adolescents’ problematic smartphone usage. Addict. Res. Theory 27, 162–169. doi: 10.1080/16066359.2018.1488967 DOI
Yamaguchi S. (1994). “Collectivism among the Japanese: a perspective from the self” in Individualism and Collectivism: Theory, Method, and Applications. eds. Kim U., Triandis H. C., Kâğitçibaşi Ç., Choi S.-C., Yoon G. (Thousand Oaks, CA: Sage Publications, Inc; ), 175–188.
Yang Z., Asbury K., Griffiths M. D. (2019). Do Chinese and British university students use smartphones differently? A cross-cultural mixed methods study. Int. J. Ment. Heal. Addict. 17, 644–657. doi: 10.1007/s11469-018-0024-4 DOI
Yang H., Liu B., Fang J. (2021). Stress and problematic smartphone use severity: smartphone use frequency and fear of missing out as mediators. Front. Psych. 12:659288. doi: 10.3389/fpsyt.2021.659288, PMID: PubMed DOI PMC
Ye B., Zhou X., Im H., Liu M., Wang X. Q., Yang Q. (2020). Epidemic rumination and resilience on college students’ depressive symptoms during the COVID-19 pandemic: the mediating role of fatigue. Front. Public Health 8:560983. doi: 10.3389/fpubh.2020.560983, PMID: PubMed DOI PMC
You Z., Zhang Y., Zhang L., Xu Y., Chen X. (2019). How does self-esteem affect mobile phone addiction? The mediating role of social anxiety and interpersonal sensitivity. Psychiatry Res. 271, 526–531. doi: 10.1016/j.psychres.2018.12.040, PMID: PubMed DOI
Young K. S. (2007). Cognitive behavior therapy with internet addicts: treatment outcomes and implications. Cyber Psychol. Behav. 10, 671–679. doi: 10.1089/cpb.2007.9971, PMID: PubMed DOI
Yum J. O. (1988). The impact of Confucianism on interpersonal relationships and communication patterns in East Asia. Commun. Monogr. 55, 374–388. doi: 10.1080/03637758809376178 DOI