Addiction aux réseaux sociaux, stratégies d’autocontrôle et procrastination académique chez les étudiants en médecine

Auteur/ices

  • Ahlem Hajri Service des consultations externes et des urgences, hôpital Razi. Faculté de médecine de Tunis, Université Tunis Manar, Tunis, Tunisie
  • Mayssene Shiri Service des consultations externes et des urgences, hôpital Razi. Faculté de médecine de Tunis, Université Tunis Manar, Tunis, Tunisie
  • Amira Maamri Service des consultations externes et des urgences, hôpital Razi. Faculté de médecine de Tunis, Université Tunis Manar, Tunis, Tunisie
  • Emira Khelifa Service des consultations externes et des urgences, hôpital Razi. Faculté de médecine de Tunis, Université Tunis Manar, Tunis, Tunisie
  • Abdennour Karmous Service des consultations externes et des urgences, hôpital Razi. Faculté de médecine de Tunis, Université Tunis Manar, Tunis, Tunisie
  • Haifa Zalila Service des consultations externes et des urgences, hôpital Razi. Faculté de médecine de Tunis, Université Tunis Manar, Tunis, Tunisie

DOI :

https://doi.org/10.62438/tunismed.v104i05.6427

Mots-clés :

Addiction aux réseaux sociaux, procrastination académique, étudiants en médecine, stratégies d’auto-contrôle

Résumé

Introduction : Les données de la littérature suggèrent un lien entre l’addiction aux réseaux sociaux (ARS) et la procrastination académique toutes les deux négativement corrélées aux performances académiques.
Objectifs : Évaluer les relations entre l’ARS, la procrastination académique et les stratégies d’auto-contrôle de l’usage des réseaux sociaux dans une population d’étudiants en médecine.
Méthode : Nous avons conduit une étude transversale descriptive et analytique en utilisant un auto-questionnaire en ligne destiné aux étudiants en médecine Tunisiens. Notre questionnaire comprenait les données socio-démographiques, les caractéristiques de l’utilisation des réseaux sociaux
ainsi que les échelles Bergen Social Media Addiction Scale et l’Academic Procrastination Scale dans leur version arabe.
Résultats : Nous avons recueilli 156 réponses. Seize pour cent des étudiants avaient une ARS. La médiane du score de l’Academic Procrastination Scale était de 67.5. Nous avons trouvé une corrélation positive modérée (ρ=0,514, p<0,001) entre le score de l’Academic Procrastination Scale et celui du Bergen Social Media Scale.
La stratégie d’autocontrôle la plus employée par les étudiants en médecine pour contrôler l’usage des réseaux sociaux était « la maitrise de soi directe » (23,7 %). Les étudiants utilisant la stratégie d’auto-contrôle 1 avaient obtenu un score du Bergen Social Media Addiction Scale significativement inférieur aux personnes ayant choisi les stratégies 4 (p=0,03),5 (p=0,036) ou 7 (p=0,045).
Conclusion : Une intervention ciblée en vue de réduire l’usage problématique des réseaux sociaux et la procrastination pourrait améliorer le bien- être et les performances des étudiants.

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Références

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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2026-05-24

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