Social Media Addiction, Self-Control Strategies and Academic procrastination in Medical Students
DOI:
https://doi.org/10.62438/tunismed.v104i05.6427Keywords:
Social media addiction, academic procrastination, medical students, self-control strategiesAbstract
Introduction: Evidence from the literature suggests a link between social media addiction (SMA) and academic procrastination, both of which are negatively correlated with academic performance.
Objectives: To assess the relationships between SMA, academic procrastination, and self-control strategies for social media use among medical students.
Methods: We conducted a descriptive and analytical cross-sectional study using an online self-administered questionnaire distributed to Tunisian medical students. The questionnaire included socio-demographic data, characteristics of social media use, and the Arabic versions of the Bergen Social Media Addiction Scale and the Academic Procrastination Scale.
Results: A total of 156 responses were collected. Sixteen percent of students had SMA. The median Academic Procrastination Scale score was 67.5. We found a moderate positive correlation (ρ = 0.514, p < 0.001) between the Academic Procrastination Scale score and the Bergen Social
Media Addiction Scale score. The most commonly used self-control strategy among medical students to regulate social media use was “direct self-control” (23.7%). Students using self-control strategy 1 had significantly lower Bergen Social Media Addiction Scale scores compared with those using strategies 4 (p = 0.03), 5 (p = 0.036), or 7 (p = 0.045).
Conclusion: Targeted interventions aimed at reducing problematic social media use and academic procrastination could improve students’ well-being and academic performance.
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References
Statista. Internet and social media users in the world 2023 [Internet]. [cited 2023 Apr 10]. Available from: https://www.
statista.com/statistics/617136/digital-population-worldwide/
Lenhart A, Purcell K, Smith A, Zickuhr K. Social Media & Mobile Internet Use Among Teens and Young Adults. Pew Internet and
American Life Project; 2010.
Wang W, Qian G, Wang X, Lei L, Hu Q, Chen J, et al. Mobile social media use and self-identity among Chinese adolescents: The
mediating effect of friendship quality and the moderating role of gender. Curr Psychol. 2021;40(9):4479–87. doi:10.1007/s12144-
-00397-5
Brailovskaia J, Margraf J. Facebook Addiction Disorder (FAD) among German students—A longitudinal approach. PLoS One.
;12(12):e0189719. doi:10.1371/journal.pone.0189719
Andreassen CS, Pallesen S. Social network site addiction—An overview. Curr Pharm Des. 2014;20(25):4053–61. doi:10.2174/13
Griffiths M. A ‘components’ model of addiction within a biopsychosocial framework. J Subst Use. 2005;10(4):191–7.
doi:10.1080/14659890500114359
Steel P. The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychol
Bull. 2007;133(1):65–94. doi:10.1037/0033-2909.133.1.65
Rebetez MML, Rochat L, Van der Linden M. Cognitive, emotional, and motivational factors related to procrastination: A cluster
analytic approach. Pers Individ Dif. 2015;76:1–6. doi:10.1016/j. paid.2014.11.044
Karimi Moonaghi H, Baloochi Beydokhti T. Academic procrastination and its characteristics: A narrative review. Future Med Educ J.
;7(2):43–50. doi:10.22038/fmej.2017.9049
Lian S, Sun X, Zhou Z, Fan C, Niu G, Liu Q. Social networking site addiction and undergraduate students’ irrational procrastination:
The mediating role of fatigue and the moderating role of effortful control. PLoS One. 2018;13(12):e0208162. doi:10.1371/journal.
pone.0208162
Meier A, Reinecke L, Meltzer C. “Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’
well-being. Comput Human Behav. 2016;64:65–76. doi:10.1016/j. chb.2016.06.011
Zimmerman BJ. Self regulated learning and academic achievement: An overview. Educ Psychol. 1990;25(1):3–17. DOI:10.1207/
s15326985ep2501_2.
Nurmaidah, Marsofiyati, Wolor. Social Media Addiction, Self Regulated Learning, and Academic Procrastination: A Mediation
Analysis. Jurnal Pendidikan dan Pembelajaran 2025;X:X–X. Disponible sur: https://journal.unj.ac.id/unj/index.php/jpepa/
article/view/58838
Tang L, He J. Impact of social media addiction on college students’ academic procrastination: a chain mediated effect of lack of
self control and fear of missing out. Frontiers in Psychology 2025;16:41190122. Disponible sur: https://pubmed.ncbi.nlm.nih.
gov/41190122
Tsitsika AK, Tzavela EC, Janikian M, Ólafsson K, Iordache A, Schoenmakers TM, et al. Online social networking in adolescence:
Patterns of use in six European countries and links with psychosocial functioning. J Adolesc Health. 2014;55(1):141–7. doi:10.1016/j.
jadohealth.2013.11.010
Hayat A, Kojuri J, Amini M. Academic procrastination of medical students: The role of Internet addiction. J Adv Med Educ Prof.
;8(2):83–9. doi:10.30476/JAMP.2020.85000.1159
Tian J, Zhao J, Xu J, Li Q, Sun T, Zhao C, et al. Mobile phone addiction and academic procrastination negatively impact academic
achievement among Chinese medical students. Front Psychol. 2021;12:758303. doi:10.3389/fpsyg.2021.758303
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):554–63.
Ghali H, Ghammem R, Zammit N, Fredj SB, Ammari F, Maatoug J, et al. Validation of the Arabic version of the Bergen Facebook
Addiction Scale in Tunisian adolescents. Int J Adolesc Med Health. 2022;34(1):20190077. doi:10.1515/ijamh-2019-0077
Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, et al. The relationship between addictive use of social
media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychol Addict Behav.
;30(2):252–62. doi:10.1037/adb0000160
Luo T, Qin L, Cheng L, Wang S, Zhu Z, Xu J, et al. Determination of the cut-off point for the Bergen Social Media Addiction
Scale (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction. J Behav Addict. 2021;10(2):281–
doi:10.1556/2006.2021.00025
Ben Alaya M. La procrastination chez les étudiants Tunisiens évaluée par la “Academic Procrastination Scale” validée en Arabe
[thesis]. Tunis: Faculté de médecine de Tunis; 2021.
Schivinski B, Brzozowska-Woś M, Stansbury E, Satel J, Montag C, Pontes HM. Exploring the role of social media use motives,
psychological well-being, self-esteem, and affect in problematic social media use. Front Psychol. 2020;11:617140. doi:10.3389/
fpsyg.2020.617140
Khazaal Y, Van Singer M, Chatton A, Achab S, Zullino D, Rothen S, et al. Does self-selection affect samples’ representativeness in online
surveys? An investigation in online video game research. J Med Internet Res. 2014;16(7):e2759. doi:10.2196/jmir.2759
Aznar-Díaz I, Romero-Rodríguez JM, García-González A, Ramírez- Montoya MS. Mexican and Spanish university students’ Internet
addiction and academic procrastination: Correlation and potential factors. PLoS One. 2020;15(5):e0233655. doi:10.1371/journal.
pone.0233655
Koc M, Gulyagci S. Facebook addiction among Turkish college students: The role of psychological health, demographic, and usage
characteristics. Cyberpsychol Behav Soc Netw. 2013;16(4):279–84. doi:10.1089/cyber.2012.0249
Pontes HM, Taylor M, Stavropoulos V. Beyond “Facebook Addiction”: The role of cognitive-related factors and psychiatric
distress in social networking site addiction. Cyberpsychol Behav Soc Netw. 2018;21(4):240–7. doi:10.1089/cyber.2017.0609
Ernala SK, Burke M, Leavitt A, Ellison N. How well do people report time spent on Facebook? An evaluation of established survey
questions with recommendations. Proc ACM CHI Conf Hum Factors Comput Syst. 2020;14. doi:10.1145/3313831.3376435
Statista. Biggest social media platforms 2023 [Internet]. [cited 2023 Apr 15]. Available from: https://www.statista.com/
statistics/272014/global-social-networks-ranked-by-number-of-users/
Rozgonjuk D, Sindermann C, Elhai JD, Montag C. Comparing smartphone, WhatsApp, Facebook, Instagram, and Snapchat:
Which platform elicits the greatest use disorder symptoms? Cyberpsychol Behav Soc Netw. 2021;24(2):129–34. doi:10.1089/
cyber.2020.0156
Zhang X, Wu Y, Liu S. Exploring short form video application addiction: Socio-technical and attachment perspectives. Telemat
Inform. 2019;42:101243. doi:10.1016/j.tele.2019.101243
M Y. 9 Stats About Average Time Spent on Tiktok 2023 [Internet]. 2022 Jun 5 [cited 2023 Apr 15]. Available from: https://www.
businessdit.com/average-time-spent-on-tiktok/
Tian X, Bi X, Chen H. How short-form video features influence addiction behavior? Empirical research from the opponent process
theory perspective. Inf Technol People. 2022;36(1):387–408. doi:10.1108/ITP-04-2020-0186
Abbasi AZ, Ayaz N, Kanwal S, Albashrawi M, Khair N. TikTok app usage behavior: The role of hedonic consumption experiences.
Data Technol Appl. 2023;ahead-of-print. doi:10.1108/DTA-03-2022-0107
Karim MR, Haque MJ, Akhter S, Ahmed HU. Facebook addiction and its related factors among medical students: A cross-sectional
study in Bangladesh. PLoS Glob Public Health. 2023;3(2):e0001597. doi:10.1371/journal.pgph.0001597
Cho M, Lee YS. The effects of medical students’ self-oriented perfectionism on academic procrastination: The mediating effect of
fear of failure. Korean J Med Educ. 2022;34(2):121–9. doi:10.3946/kjme.2022.224
Ayadi N, Pireinaladin S, Shokri M, Dargahi S, Zarein F. Investigating the mediating role of procrastination in the relationship between
positive and negative perfectionism and mobile phone addiction in gifted students. Iran J Psychiatry. 2021;16(1):30–5.
Turel O, Qahri-Saremi H. Problematic use of social networking sites: Antecedents and consequence from a dual-system theory
perspective. J Manag Inf Syst. 2016;33(4):1087–116. doi:10.1080/0 7421222.2016.1267529
Lee AR, Son SM, Kim K. Information and communication technology overload and social networking service fatigue: A stress
perspective. Comput Human Behav. 2016;55:51–61. doi:10.1016/j. chb.2015.08.011
Duckworth AL, Milkman KL, Laibson D. Beyond willpower: Strategies for reducing failures of self-control. Psychol Sci Public
Interest. 2018;19(3):102–29. doi:10.1177/1529100618821893
Duckworth AL, White RE, Matteucci AJ, Shearer A, Gross JJ. A stitch in time: Strategic self-control in high school and college students. J
Educ Psychol. 2016;108(3):329–41. doi:10.1037/edu0000062
Fujita K, Carnevale JJ. Transcending temptation through abstraction: The role of construal level in self-control. Curr Dir Psychol Sci.
;21(4):248–52. doi:10.1177/0963721412449169
Turel O. An empirical examination of the “vicious cycle” of Facebook addiction. J Comput Inf Syst. 2015;55(3):83–91. doi:10.1080/0887
2015.11645775
Mccloskey J, Scielzo S. Finally!: The development and validation of the Academic Procrastination Scale [Internet]. 2015 [cited 2023 Apr
. Available from: https://doi.org/10.13140/RG.2.2.23164.64640
Bornstein MH, Jager J, Putnick DL. Sampling in developmental science: Situations, shortcomings, solutions, and standards. Dev
Rev. 2013;33(4):357–70. doi:10.1016/j.dr.2013.08.003
Rozental A, Carlbring P. Understanding and treating procrastination: A review of a common self-regulatory failure. Psychol.
;5(13):1488–502. doi:10.4236/psych.2014.513160
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