Problematic Smartphone Use and Social Media Fatigue: The Mediating Role of Self-Control

References

• Shaw M, Black DW. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs. 2008;22(5):353–365. doi:10.2165/00023210-200822050-00001
   PubMed Web of Science ®Google Scholar
• Widyanto L, Griffiths M. ‘Internet Addiction’: a critical review. Int J Ment Health Addict. 2006;4(1):31–51. doi:10.1007/s11469-006-9009-9
   Google Scholar
• Griffiths M, Pontes H, Kuss D. Clinical psychology of Internet addiction: a review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neurosci Neuroecon. 2015;11. doi:10.2147/nan.s60982
   Google Scholar
• Montag C, Reuter M. Internet Addiction. Springer International Publishing; 2015:143–150. doi:10.1007/978-3-319-07242-5
   Google Scholar
• Hou Y, Xiong D, Jiang T, Song L, Wang Q. Social media addiction: its impact, mediation, and intervention. Cyberpsychology. 2019;13:1. doi:10.5817/cp2019-1-4
   Google Scholar
• Cheng C, Lau YC, Chan L, Luk JW. Prevalence of social media addiction across 32 nations: meta-analysis with subgroup analysis of classification schemes and cultural values. Addict Behav. 2021;117:106845. doi:10.1016/j.addbeh.2021.106845
   PubMed Web of Science ®Google Scholar
• Saqib N, Amin F. Social media addiction: a review on scale development. Manag Labour Stud. 2022;258042X2210916. doi:10.1177/0258042x221091657
   Google Scholar
• Choliz M. Mobile-phone addiction in adolescence: the test of mobile phone dependence (TMD). Prog Health Sci. 2012;2(1):33–44.
   Google Scholar
• Sahu M, Gandhi S, Sharma MK. Mobile phone addiction among children and adolescents: a systematic review. J Addict Nurs. 2019;30(4):261–268. doi:10.1097/JAN.0000000000000309
   PubMed Web of Science ®Google Scholar
• Ting CH, Chen YY. Smartphone addiction. In: Adolescent Addiction. Elsevier Academic Press; 2020:215–240. doi:10.1016/B978-0-12-818626-8.00008-6
   Google Scholar
• Dhir A, Kaur P, Chen S, Pallesen S. Antecedents and consequences of social media fatigue. IJIM. 2019;48:193–202. doi:10.1016/j.ijinfomgt.2019.05.021
   PubMedGoogle Scholar
• Zheng H, Ling R. Drivers of social media fatigue: a systematic review. Telemat. 2021;64:101696. doi:10.1016/j.tele.2021.101696
   Google Scholar
• Świątek AH, Szcześniak M, Zhang S, Borkowska H. A preliminary validation of the Polish version of the social media fatigue scale. Psychol Res Behav Manag. 2021;14:719–729. doi:10.2147/PRBM.S312897
   PubMed Web of Science ®Google Scholar
• Park WK. Mobile phone addiction. In: Mobile Communications. London: Springer; 2005:253–272. doi:10.1007/1-84628-248-9_17
   Google Scholar
• Chóliz M. Mobile phone addiction: a point of issue. Addiction. 2010;105(2):373–374. doi:10.1111/j.1360-0443.2009.02854.x
   PubMed Web of Science ®Google Scholar
• Hoffmann B. Phonoholism–a new behavioral addiction. TJS. 2017;4:315–319. doi:10.15547/tjs.2017.04.007
   Google Scholar
• Sarzała D. Fonoholizm wśród nastolatków jako nowa forma uzależnienia behawioralnego–aspekty diagnostyczne i profilaktyczne. KSSE. 2018;4(1):51–63. doi:10.30438/ksse.2018.4.1.5
   Google Scholar
• Adamczewska-Chmiel K, Dudzic K, Chmiela T, Gorzkowska A. Smartphones, the epidemic of the 21st century: a possible source of addictions and neuropsychiatric consequences. Int J Environ Res Public Health. 2022;19(9):5152. doi:10.3390/ijerph19095152
   PubMed Web of Science ®Google Scholar
• D’Arienzo MC, Boursier V, Griffiths MD. Addiction to social media and attachment styles: a systematic literature review. Int J Ment Health Addict. 2019;17(4):1094–1118. doi:10.1007/s11469-019-00082-5
   Web of Science ®Google Scholar
• Zivnuska S, Carlson JR, Carlson DS, Harris RB, Harris KJ. Social media addiction and social media reactions: the implications for job performance. J Soc Psychol. 2019;159(6):746–760. doi:10.1080/00224545.2019.1578725
   PubMed Web of Science ®Google Scholar
• Aksoy ME. A qualitative study on the reasons for social media addiction. EU-JER. 2018;7(4):861–865. doi:10.12973/eu-jer.7.4.861
   Google Scholar
• Dalvi-Esfahani M, Niknafs A, Kuss DJ, Nilashi M, Afrough S. Social media addiction: applying the DEMATEL approach. Telemat. 2019;43:101250. doi:10.1016/j.tele.2019.101250
   Google Scholar
• Kirik A, Arslan A, Çetinkaya A, Gül M. A quantitative research on the level of social media addiction among young people in Turkey. IntJSCS. 2015;3(3):108–122. doi:10.14486/IntJSCS444_
   Google Scholar
• Tutgun-ünal A, Deniz L. Development of the social media addiction scale. AJIT-e. 2015;51–70. doi:10.5824/1309-1581.2015.4.004.x
   Google Scholar
• Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict. 2018;7(2):252–259. doi:10.1556/2006.7.2018.49
   PubMed Web of Science ®Google Scholar
• van Velthoven MH, Powell J, Powell G. Problematic smartphone use: digital approaches to an emerging public health problem. Digit Health. 2018;4:2055207618759167. doi:10.1177/2055207618759167
   Web of Science ®Google Scholar
• Rebenitsch L, Owen C. Review on cybersickness in applications and visual displays. Virtual Real. 2016;20(2):101–125. doi:10.1007/s10055-016-0285-9
   Web of Science ®Google Scholar
• Wickord LC, Quaiser-Pohl C. Psychopathological symptoms and personality traits as predictors of problematic smartphone use in different age groups. Behav Sci. 2022;12(2):20. doi:10.3390/bs12020020
   PubMedGoogle Scholar
• Billieux J. Problematic use of the mobile phone: a literature review and a pathways model. Curr Psychiatry Rev. 2012;8(4):299–307. doi:10.2174/157340012803520522
   Google Scholar
• Horwood S, Anglim J. Problematic smartphone usage and subjective and psychological well-being. Comput Human Behav. 2019;97:44–50. doi:10.1016/j.chb.2019.02.028
   Web of Science ®Google Scholar
• Rho MJ, Park J, Na E, et al. Types of problematic smartphone use based on psychiatric symptoms. Psychiatry Res. 2019;275:46–52. doi:10.1016/j.psychres.2019.02.071
   PubMed Web of Science ®Google Scholar
• Zhang Y, Ding Y, Huang H, et al. Relationship between insecure attachment and mobile phone addiction: a meta-analysis. Addict Behav. 2022;131:107317. doi:10.1016/j.addbeh.2022.107317
   PubMed Web of Science ®Google Scholar
• Rozgonjuk D, Elhai JD, Täht K, Vassil K, Levine JC, Asmundson GJ. Non-social smartphone use mediates the relationship between intolerance of uncertainty and problematic smartphone use: evidence from a repeated-measures study. Comput Hum Behav. 2019;96:56–62. doi:10.1016/j.chb.2019.02.013
   Web of Science ®Google Scholar
• Xiang MQ, Lin L, Wang ZR, Li J, Xu Z, Hu M. Sedentary behavior and problematic smartphone use in Chinese adolescents: the moderating role of self-control. Front Psychol. 2020;10:3032. doi:10.3389/fpsyg.2019.03032
   PubMed Web of Science ®Google Scholar
• Zhang J, Zhang X, Zhang K, et al. An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder. J Affect Disord. 2022;305:94–101. doi:10.1016/j.jad.2022.02.008
   PubMed Web of Science ®Google Scholar
• Grant JE, Lust K, Chamberlain SR. Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. J Behav Addict. 2019;8(2):335–342. doi:10.1556/2006.8.2019.32
   PubMed Web of Science ®Google Scholar
• Statista. Number of Internet and social media users worldwide; 2022. Available from: https://www.statista.com/statistics/617136/digital-population-worldwide/. Accessed January 19, 2023.
   Google Scholar
• Paakkari L, Tynjälä J, Lahti H, Ojala K, Lyyra N. Problematic social media use and health among adolescents. Int J Environ Res Public Health. 2021;18(4):1885. doi:10.3390/ijerph18041885
   PubMed Web of Science ®Google Scholar
• Alfasi Y. Attachment style and social media fatigue: the role of usage-related stressors, self-esteem, and self-concept clarity. Cyberpsychology. 2022;16:2. doi:10.5817/cp2022-2-2
   Google Scholar
• Zhang S, Shen Y, Xin T, et al. The development and validation of a social media fatigue scale: from a cognitive-behavioral-emotional perspective. PLoS One. 2021;16(1):e0245464. doi:10.1371/journal.pone.0245464
   PubMed Web of Science ®Google Scholar
• Dhir A, Yossatorn Y, Kaur P, Chen S. Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. IJIM. 2019;40:141–152. doi:10.1016/j.ijinfomgt.2018.01.012
   Google Scholar
• Jiang S. The roles of worry, social media information overload, and social media fatigue in hindering health fact-checking. Soc Media Soc. 2022;8(3):205630512211130. doi:10.1177/20563051221113070
   Web of Science ®Google Scholar
• Świątek AH, Szcześniak M, Bielecka G. Trait anxiety and social media fatigue: fear of missing out as a mediator. Psychol Res Behav Manag. 2021;14:1499–1507. doi:10.2147/PRBM.S319379
   PubMed Web of Science ®Google Scholar
• Bright LF, Logan K. Is my fear of missing out (FOMO) causing fatigue? Advertising, social media fatigue, and the implications for consumers and brands. Internet Res. 2018;28(5):1213–1227. doi:10.1108/intr-03-2017-0112
   Web of Science ®Google Scholar
• Rahardjo W, Qomariyah N, Mulyani I, Andriani I. Social media fatigue pada mahasiswa di masa pandemi COVID-19: peran neurotisisme, kelebihan informasi, invasion of life, kecemasan, dan jenis kelamin. Jurnal Psikologi Sosial. 2020;19(2):142–152. doi:10.7454/jps.2021.16
   Google Scholar
• Islam AK, Whelan E, Brooks S. Does multitasking computer self-efficacy mitigate the impact of social media affordances on overload and fatigue among professionals? Inf Technol People. 2020. doi:10.1108/itp-10-2019-0548
   Web of Science ®Google Scholar
• Zhu X, Bao Z. Why people use social networking sites passively. Aslib J Inf Manag. 2018;70(2):158–175. doi:10.1108/ajim-12-2017-0270
   Web of Science ®Google Scholar
• Sunil S, Sharma MK, Amudhan S, Anand N, John N. Social media fatigue: causes and concerns. Int J Soc Psychiatry. 2022;68(3):686–692. doi:10.1177/00207640221074800
   PubMed Web of Science ®Google Scholar
• De Ridder DTD, Lensvelt-Mulders G, Finkenauer C, Stok FM, Baumeister RF. Taking stock of self-control: a meta-analysis of how trait self-control relates to a wide range of behaviors. Pers Soc Psychol Rev. 2012;16(1):76–99. doi:10.1177/1088868311418749
   PubMed Web of Science ®Google Scholar
• Halfman A, Rieger D. Permanently on call: the effects of social pressure on smartphone users’ self-control, need satisfaction, and well-being. J Comput-Mediat Comm. 2019;24(4):165–181. doi:10.1093/jcmc/zmz008
   Web of Science ®Google Scholar
• Ravindran T, Kuan ACY, Lian DGH. Antecedents and effects of social network fatigue. J Assoc Inf Sci Technol. 2014;65(11):2306–2320.
   Web of Science ®Google Scholar
• Gillebaart M. The ‘operational’ definition of self-control. Front Psychol. 2018;9:1231. doi:10.3389/fpsyg.2018.01231
   PubMed Web of Science ®Google Scholar
• Jiang Z, Zhao X. Brain behavioral systems, self-control and problematic mobile phone use: the moderating role of gender and history of use. Per Individ Differ. 2017;106:111–116. doi:10.1016/j.paid.2016.10.036
   Web of Science ®Google Scholar
• Adriaanse MA, Kroese FM, Gillebaart M, De Ridder DT. Effortless inhibition: habit mediates the relation between self-control and unhealthy snack consumption. Front Psychol. 2014;5:444. doi:10.3389/fpsyg.2014.00444
   PubMed Web of Science ®Google Scholar
• Brevers D, Turel O. Strategies for self-controlling social media use: classification and role in preventing social media addiction symptoms. J Behav Addict. 2019;8(3):554–563. doi:10.1556/2006.8.2019.49
   PubMed Web of Science ®Google Scholar
• Aranda JH, Baig S. Toward “JOMO” the joy of missing out and the freedom of disconnecting. In: Proceedings of the 20th international conference on human-computer interaction with mobile devices and services; 2018:1–8.
   Google Scholar
• Servidio R. Self-control and problematic smartphone use among Italian university students: the mediating role of the fear of missing out and of smartphone use patterns. Curr Psychol. 2019;40:3840–3847. doi:10.1007/s12144-019-00373-z
   PubMed Web of Science ®Google Scholar
• Jiang Z, Zhao X. Self-control and problematic mobile phone use in Chinese college students: the mediating role of mobile phone use patterns. BMC Psychiatry. 2016;16(1):416. doi:10.1186/s12888-016-1131-z
   PubMed Web of Science ®Google Scholar
• Bhargava VR, Velasquez M. Ethics of the attention economy: the problem of social media addiction. Bus Ethics Q. 2021;31(3):321–359. doi:10.1017/beq.2020.32
   Web of Science ®Google Scholar
• Elhai JD, Hall BJ, Levine JC, Dvorak RD. Types of smartphone usage and relations with problematic smartphone behaviors: the role of content consumption vs. social smartphone use. Cyberpsychology. 2017;11(2). doi:10.5817/cp2017-2-3
   Google Scholar
• Liu Y, He J. ”Why are you running away from social media?” Analysis of the factors influencing social media fatigue: an empirical data study based on Chinese youth. Front Psychol. 2021;12:674641. doi:10.3389/fpsyg.2021.674641
   PubMed Web of Science ®Google Scholar
• Fontes-Perryman E, Spina R. Fear of missing out and compulsive social media use as mediators between OCD symptoms and social media fatigue. Psychol Pop Media. 2021;11(2):173–182. doi:10.1037/ppm0000356
   Google Scholar
• Luqman A, Cao X, Ali A, Masood A, Yu L. Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Comput Human Behav. 2017;70:544–555. doi:10.1016/j.chb.2017.01.020
   Web of Science ®Google Scholar
• Saleem S, Feng Y, Luqman A. Excessive SNS use at work, technological conflicts and employee performance: a social-cognitive-behavioral perspective. Technol Soc. 2021;65:101584. doi:10.1016/j.techsoc.2021.101584
   Web of Science ®Google Scholar
• Khalid J, Weng QD, Luqman A, Rasheed MI, Hina M. After-hours work-related technology use and individuals’ deviance: the role of other-initiated versus self-initiated interruptions. Inf Technol People. 2021;35:1955–1979. doi:10.1108/ITP-03-2020-0136
   Web of Science ®Google Scholar
• Khalid J, Weng QD, Luqman A, Rasheed MI, Hina M. After-hours work-related technology use and individuals’ deviance: the role of interruption overload, psychological transition and task closure. Kybernetes. 2021;52:158–181. doi:10.1108/K-05-2020-0304
   Web of Science ®Google Scholar
• Luqman A, Masood A, Ali A. An SDT and TPB-based integrated approach to explore the role of autonomous and controlled motivations in “SNS discontinuance intention”. Comput Human Behav. 2018;85:298–307. doi:10.1016/j.chb.2018.04.016
   Web of Science ®Google Scholar
• Masood A, Luqman A, Feng Y, Ali A. Adverse consequences of excessive social networking site use on academic performance: explaining underlying mechanism from stress perspective. Comput Human Behav. 2020;113:106476. doi:10.1016/j.chb.2020.106476
   Web of Science ®Google Scholar
• Cao X, Masood A, Luqman A, Ali A. Excessive use of mobile social networking sites and poor academic performance: antecedents and consequences from stressor-strain-outcome perspective. Comput Human Behav. 2018;85:163–174. doi:10.1016/j.chb.2018.03.023
   Web of Science ®Google Scholar
• Foerster M, Roser K, Schoeni A, Roosli M. Problematic mobile phone use in adolescents: derivation of a short scale MPPUS-10. Int J Public Health. 2015;60(2):277–286. doi:10.1007/s00038-015-0660-4
   PubMed Web of Science ®Google Scholar
• Mach A, Demkow-Jania M, Klimkiewicz A, et al. Adaptation and validation of the Polish version of the 10-item mobile phone problematic use scale. Front Psychiatry. 2020;11:427. doi:10.3389/fpsyt.2020.00427
   PubMed Web of Science ®Google Scholar
• Tangney JP, Baumeister RF, Boone AL. High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers. 2004;72(2):271–324. doi:10.1111/j.0022-3506.2004.00263.x
   PubMed Web of Science ®Google Scholar
• Kwapis K, Bartczuk RP. The development and psychometric properties of the Polish version of the self-control scale. Ann UMCS. 2020;33(3):123. doi:10.17951/j.2020.33.3.123-144
   Google Scholar
• Hayes AF. Introduction to Mediation, Moderation and Conditional Process Analysis. A Regression-Based Approach. The Guilford Press; 2013.
   Google Scholar
• Hahs-Vaughn DL. Applied Multivariate Statistical Concepts. Taylor & Francis Group; 2016.
   Google Scholar
• Fidell LS, Tabachnick GB. Preparatory data analysis. In: Handbook of Psychology: Research Methods in Psychology. John Wiley & Sons; 2003:115–141.
   Google Scholar
• Newsham G, Drouin M, McDaniel BT. Problematic phone use, depression, and technology interference among mothers. Psychol Pop Media. 2020;9(2):117–124. doi:10.1037/ppm0000220
   Google Scholar
• Li W, Zhang X, Chu M, Li G. The impact of adverse childhood experiences on mobile phone addiction in Chinese college students: a serial multiple mediator model. Front Psychol. 2020;11:834. doi:10.3389/fpsyg.2020.00834
   PubMed Web of Science ®Google Scholar
• De-Sola J, Rubio G, Talledo H, Pistoni L, Van Riesen H, Rodríguez de Fonseca F. Cell phone use habits among the Spanish population: contribution of applications to problematic use. Front Psychiatry. 2019;10:883. doi:10.3389/fpsyt.2019.00883
   PubMed Web of Science ®Google Scholar
• Oviedo-Trespalacios O, Nandavar S, Newton JDA, Demant D, Phillips JG. Problematic use of mobile phones in Australia… Is it getting worse? Front Psychiatry. 2019;10:105. doi:10.3389/fpsyt.2019.00105
   PubMed Web of Science ®Google Scholar
• Vally Z, El Hichami F. An examination of problematic mobile phone use in the United Arab Emirates: prevalence, correlates, and predictors in a college-aged sample of young adults. Addict Behav Rep. 2019;9:100185. doi:10.1016/j.abrep.2019.100185
   PubMedGoogle Scholar
• Jenkins RH, Shen C, Dumontheil I, et al. Social networking site use in young adolescents: association with health-related quality of life and behavioural difficulties. Comput Human Behav. 2020;109:106320. doi:10.1016/j.chb.2020.106320
   Web of Science ®Google Scholar
• Lopez-Fernandez O, Honrubia-Serrano L, Freixa-Blanxart M, Gibson W. Prevalence of problematic mobile phone use in British adolescents. Cyberpsychol Behav Soc Netw. 2014;17(2):91–98. doi:10.1089/cyber.2012.0260
   PubMed Web of Science ®Google Scholar
• Domoff SE, Foley RP, Ferkel R. Addictive phone use and academic performance in adolescents. Hum Behav Emerg Technol. 2019;2(1):33–38. doi:10.1002/hbe2.171
   Google Scholar
• Zhang S, Zhao L, Lu Y, Yang J. Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Inf Manag. 2016;53(7):904–914. doi:10.1016/j.im.2016.03.006
   Web of Science ®Google Scholar
• Al-Shatti E, Ohana M, Odou P, Zaitouni M. Impression management on Instagram and unethical behavior: the role of gender and social media fatigue. Int J Environ Res Public Health. 2022;19(16):9808. doi:10.3390/ijerph19169808
   PubMed Web of Science ®Google Scholar
• Adhikari K, Panda RK. Examining the role of social networking fatigue toward discontinuance intention: the multigroup effects of gender and age. J Internet Commer. 2019;19(2):125–152. doi:10.1080/15332861.2019.1698265
   Web of Science ®Google Scholar
• Zhang Y, He W, Peng L. How perceived pressure affects users’ social media fatigue behavior: a case on WeChat. J Comput In Syst. 2020;1–12. doi:10.1080/08874417.2020.1824596
   Google Scholar
• Niu G, Yao L, Wu L, Tian Y, Xu L, Sun X. Parental phubbing and adolescent problematic mobile phone use: the role of parent-child relationship and self-control. Child Youth Serv Rev. 2020;116:105247. doi:10.1016/j.childyouth.2020.105247
   Web of Science ®Google Scholar
• Fabio RA, Stracuzzi A, Lo Faro R. Problematic smartphone use leads to behavioral and cognitive self-control deficits. Int J Environ Res Public Health. 2022;19(12):7445. doi:10.3390/ijerph19127445
   PubMed Web of Science ®Google Scholar
• Du J, van Koningsbruggen GM, Kerkhof P. A brief measure of social media self-control failure. Comput Hum Beh. 2018;84:68–75. doi:10.1016/j.chb.2018.02.002
   Web of Science ®Google Scholar
• Liu M, Li X, He Z. Self-control mediates, and mobile phone dependence moderates, the relationship between psychological capital and attitudes toward physical exercise among Chinese university students. Front Psychol. 2022;13:888175. doi:10.3389/fpsyg.2022.888175
   PubMed Web of Science ®Google Scholar
• Kim JH, Jung SH, Choi HJ. Antecedents influencing SNS addiction and exhaustion (fatigue syndrome): focusing on six countries. Behav Inf Technol. 2022;1–25. doi:10.1080/0144929X.2022.2136531
   Web of Science ®Google Scholar
• Scalf PE, Torralbo A, Tapia E, Beck DM. Competition explains limited attention and perceptual resources: implications for perceptual load and dilution theories. Front Psychol. 2013;4:243. doi:10.3389/fpsyg.2013.00243
   PubMed Web of Science ®Google Scholar
• Dukas R. Causes and consequences of limited attention. Brain Behav Evol. 2004;63(4):197–210. doi:10.1159/000076781
   PubMed Web of Science ®Google Scholar
• Rosenbaum M. The three functions of self-control behaviour: redressive, reformative and experiential. Work Stress. 1993;7(1):33–46. doi:10.1080/02678379308257048
   Web of Science ®Google Scholar
• Schnell T, Krampe H. Meaning in life and self-control buffer stress in times of COVID-19: moderating and mediating effects with regard to mental distress. Front Psychiatry. 2020;11:582352. doi:10.3389/fpsyt.2020.582352
   PubMed Web of Science ®Google Scholar
• McDermott ER, Donlan AE, Anderson S, Zaff JF. Self-control and adolescent internalizing and externalizing problems: neighborhood-based differences. J Comm Psychol. 2017;45(3):297–314. doi:10.1002/jcop.21848
   Web of Science ®Google Scholar