Research Article
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The Relationship Between Internet and Social Media Addiction And Migraine Disability In Adults With Migraine

Year 2026, Volume: 7 Issue: 1, 207 - 217, 31.01.2026
https://doi.org/10.47482/acmr.1823908

Abstract

Background: Migraine is a chronic headache disorder involving neurovascular hyperexcitability and trigeminovascular sensitization, leading to functional impairment. With digital technologies now pervasive, excessive internet and social media use may contribute to migraine burden. This study examined the relationship between internet and social media addiction, screen exposure, and migraine-related disability in adults.
Methods: Eighty-two adults aged 18–65 years with a diagnosis of migraine according to the International Classification of Headache Disorders, 3rd edition (ICHD-3) and without significant neurological or severe psychiatric comorbidities were included. Sociodemographic data, the Visual Analog Scale (VAS), the Migraine Disability Assessment (MIDAS), the Young Internet Addiction Scale (YIAS), and the Social Media Addiction Scale (SMAS) were administered. Average daily smartphone screen time over the past seven days was recorded. Spearman correlation coefficients and multivariable linear regression models were used for the analyses.
Results: Spearman correlation analysis revealed significant positive associations between MIDAS and both YIAS (ρ = 0.458) and SMAS (ρ = 0.541), with SMAS showing the stronger relationship. Average daily screen time was also correlated with MIDAS (ρ = 0.345). In multivariable models, YIAS and screen time remained independently associated with MIDAS when included together. However, when SMAS was entered alongside screen time, only SMAS remained significant (β = 0.33; 95% CI: 0.18–0.47). Likewise, in the model including both SMAS and YIAS, SMAS remained an independent predictor (β = 0.43; 95% CI: 0.20–0.66), whereas YIAS lost significance (β = –0.21; 95% CI: –0.79 to 0.37).
Conclusion: The findings suggest that migraine burden may be more closely related to social interaction–based digital exposure than to overall internet use. Social media–related behaviors could be a potential target for intervention, although prospective studies are needed to confirm this.

Ethical Statement

This study was conducted in accordance with the principles outlined in the Declaration of Helsinki. It was approved by the Clinical Research Ethics Committee of Ankara Yıldırım Beyazıt University Yenimahalle Training and Research Hospital (Decision No: 2025-22). Written informed consent was obtained from all participants

Supporting Institution

No financial support was received from any public institution, private sector, or non-profit organization within the scope of this research.

Thanks

We would like to express our gratitude to all the patients who participated in our study.

References

  • Goadsby PJ, Holland PR, Martins-Oliveira M, Hoffmann J, Schankin C, Akerman S. Pathophysiology of migraine: a disorder of sensory processing. Physiol Rev. 2017;97(2):553-622.
  • Noseda R, Kainz V, Jakubowski M, Gooley JJ, Saper CB, Digre K, et al. A neural mechanism for exacerbation of headache by light. Nat Neurosci. 2010;13(2):239-245.
  • Cajochen C, Frey S, Anders D, Späti J, Bues M, Pross A, et al. Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. PLoS One. 2011;6(8):e27140.
  • Chang AM, Aeschbach D, Duffy JF, Czeisler CA. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc Natl Acad Sci U S A. 2015;112(4):1232-1237.
  • Ko CH, Hsiao S, Liu GC, Yen JY, Yang MJ, Yen CF. The characteristics of decision making, potential to take risks, and personality of college students with Internet addiction. Psychiatry Res. 2010 Jan 30;175(1–2):121–125.
  • 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.
  • Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz JB, et al. Association between social media use and depression among U.S. young adults. Depress Anxiety. 2016;33(4):323–331.
  • Tepecik İB, Kurt AN, Hesapçıoğlu ST, Uğurlu M. Relationship between headache and Internet addiction in children. Turk J Med Sci. 2019;49(5):1292–1297.
  • Torsheim T, Eriksson L, Schnohr CW, Hansen F, Bjarnason T, Välimaa R. Screen-based activities and physical complaints among adolescents from the Nordic countries. BMC Public Health. 2010;10:324.
  • Humberg C, Neß V, Rau LM, Wager J. Is there a long-term link between digital media use and adolescent headaches? A longitudinal school-based study. Children (Basel). 2024;11(12):1549.
  • Vogel EA, Rose JP, Roberts LR, Eckles K. Social comparison, social media, and self-esteem. Psychol Pop Media Cult. 2014;3:206–222.
  • Haghdoost F. Internet and social media’s role in migraine education: Headache or not headache? Cephalalgia. 2025;45(4):3331024251336152.
  • Goadsby P, Ruiz de la Torre E, Constantin L, Amand C. Social media listening and digital profiling study of people with headache and migraine: retrospective infodemiology study. J Med Internet Res. 2023;25:e40461.
  • Headache Classification Committee of the International Headache Society (IHS). The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 2018;38(1):1–211.
  • Stewart WF, Lipton RB, Dowson AJ, Sawyer J. Development and testing of the Migraine Disability Assessment (MIDAS) questionnaire to assess headache-related disability. Neurology. 2001;56(6 Suppl 1):20–28.
  • Ertaş M, Siva A, Dalkara T, Uzuner N, Dora B, Inan L, et al. Turkish MIDAS group. Validity and reliability of the Turkish Migraine Disability Assessment (MIDAS) questionnaire. Headache. 2004;44(8):786–793.
  • Young KS. Psychology of computer use: XL. Addictive use of the Internet: a case that breaks the stereotype. Psychol Rep. 1996;79(3 Pt 1):899–902.
  • Bayraktar F. İnternet kullanımının ergen gelişimindeki rolü [yüksek lisans tezi]. İzmir: Ege Üniversitesi Sosyal Bilimler Enstitüsü; 2001.
  • Tutgun-Ünal A, Deniz L. Development of the Social Media Addiction Scale. AJIT-e: Academic Journal of Information Technology. 2015;6(21):51–70.
  • Borsook D, Maleki N, Becerra L, McEwen B. Understanding migraine through the lens of maladaptive stress responses: a model disease of allostatic load. Neuron. 2012;73(2):219–234.
  • Vidal C, Lhaksampa T, Miller L, Platt R. Social media use and depression in adolescents: a scoping review. Int Rev Psychiatry. 2020;32(3):235–253.
  • Asmundson GJ, Noel M, Petter M, Parkerson HA. Pediatric fear-avoidance model of chronic pain: foundation, application and future directions. Pain Res Manag. 2012;17(6):397–405.
  • Montag C, Lachmann B, Herrlich M, Zweig K. Addictive features of social media/messenger platforms and freemium games against the background of psychological and economic theories. Addict Behav Rep. 2017;5:1–6.
  • Pearson C, Swindale R, Keighley P, McKinlay AR, Ridsdale L. Not just a headache: qualitative study about web-based self-presentation and social media use by people with migraine. J Med Internet Res. 2019;21(6):e10479.

THE RELATIONSHIP BETWEEN INTERNET AND SOCIAL MEDIA ADDICTION AND MIGRAINE DISABILITY IN ADULTS WITH MIGRAINE

Year 2026, Volume: 7 Issue: 1, 207 - 217, 31.01.2026
https://doi.org/10.47482/acmr.1823908

Abstract

THE RELATIONSHIP BETWEEN INTERNET AND SOCIAL MEDIA ADDICTION AND MIGRAINE DISABILITY IN ADULTS WITH MIGRAINE
ABSTRACT
Background: Migraine is a chronic headache disorder involving neurovascular hyperexcitability and trigeminovascular sensitization, leading to functional impairment. With digital technologies now pervasive, excessive internet and social media use may contribute to migraine burden. This study examined the relationship between internet and social media addiction,screen exposure and migraine-related disability in adults.
Methods: 82 adults with a clinical diagnosis of migraine were included. Participants completed MIDAS, Young Internet Addiction Scale (YIAS), Social Media Addiction Scale (SMAS). Average daily smartphone screen time was recorded. Spearman correlation coefficients were calculated, and multivariable linear regression analyses were performed to identify independent predictors of MIDAS scores.
Results: Spearman correlation analysis revealed that YIAS scores were positively correlated with MIDAS (ρ=0.458), whereas SMAS showed a stronger correlation (ρ=0.541). Average daily smartphone screen time was also positively associated with MIDAS (ρ=0.345). In multivariable linear regression, when YIAS and screen time were entered into model together, both remained independently associated with MIDAS. However, when SMAS and screen time were included together, only SMAS remained statistically significant (β=0.33 95% CI0.18–0.47), while screen time was not significant. Likewise, when SMAS and YIAS were entered into the model, only SMAS remained independently associated with MIDAS (β=0.43; 95%C 0.20–0.66), whereas YIAS its significance (β=–0.21; 95%CI–0.79–0.37).
Conclusion: Findings indicate that migraine burden may relate more to social interaction–based digital exposure than to overall internet use. Social media–related behaviors could be potential intervention target, though prospective studies are needed to confirm this.

Ethical Statement

Bu çalışma, Helsinki Bildirgesi’nde belirtilen ilkelere uygun olarak yürütülmüştür. Ankara Yıldırım Beyazıt Üniversitesi Yenimahalle Eğitim ve Araştırma Hastanesi Klinik Araştırmalar Etik Kurulu tarafından onaylanmıştır (Karar No: 2025-22). Tüm katılımcılardan yazılı bilgilendirilmiş onam alınmıştır.

Supporting Institution

Bu araştırma kapsamında herhangi bir kamu kurumu, özel sektör ya da kâr amacı gütmeyen bir kuruluş tarafından mali destek alınmamıştır.

Thanks

Çalışmamıza katılan tüm hastalara teşekkürlerimizi sunarız.

References

  • Goadsby PJ, Holland PR, Martins-Oliveira M, Hoffmann J, Schankin C, Akerman S. Pathophysiology of migraine: a disorder of sensory processing. Physiol Rev. 2017;97(2):553-622.
  • Noseda R, Kainz V, Jakubowski M, Gooley JJ, Saper CB, Digre K, et al. A neural mechanism for exacerbation of headache by light. Nat Neurosci. 2010;13(2):239-245.
  • Cajochen C, Frey S, Anders D, Späti J, Bues M, Pross A, et al. Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. PLoS One. 2011;6(8):e27140.
  • Chang AM, Aeschbach D, Duffy JF, Czeisler CA. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc Natl Acad Sci U S A. 2015;112(4):1232-1237.
  • Ko CH, Hsiao S, Liu GC, Yen JY, Yang MJ, Yen CF. The characteristics of decision making, potential to take risks, and personality of college students with Internet addiction. Psychiatry Res. 2010 Jan 30;175(1–2):121–125.
  • 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.
  • Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz JB, et al. Association between social media use and depression among U.S. young adults. Depress Anxiety. 2016;33(4):323–331.
  • Tepecik İB, Kurt AN, Hesapçıoğlu ST, Uğurlu M. Relationship between headache and Internet addiction in children. Turk J Med Sci. 2019;49(5):1292–1297.
  • Torsheim T, Eriksson L, Schnohr CW, Hansen F, Bjarnason T, Välimaa R. Screen-based activities and physical complaints among adolescents from the Nordic countries. BMC Public Health. 2010;10:324.
  • Humberg C, Neß V, Rau LM, Wager J. Is there a long-term link between digital media use and adolescent headaches? A longitudinal school-based study. Children (Basel). 2024;11(12):1549.
  • Vogel EA, Rose JP, Roberts LR, Eckles K. Social comparison, social media, and self-esteem. Psychol Pop Media Cult. 2014;3:206–222.
  • Haghdoost F. Internet and social media’s role in migraine education: Headache or not headache? Cephalalgia. 2025;45(4):3331024251336152.
  • Goadsby P, Ruiz de la Torre E, Constantin L, Amand C. Social media listening and digital profiling study of people with headache and migraine: retrospective infodemiology study. J Med Internet Res. 2023;25:e40461.
  • Headache Classification Committee of the International Headache Society (IHS). The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 2018;38(1):1–211.
  • Stewart WF, Lipton RB, Dowson AJ, Sawyer J. Development and testing of the Migraine Disability Assessment (MIDAS) questionnaire to assess headache-related disability. Neurology. 2001;56(6 Suppl 1):20–28.
  • Ertaş M, Siva A, Dalkara T, Uzuner N, Dora B, Inan L, et al. Turkish MIDAS group. Validity and reliability of the Turkish Migraine Disability Assessment (MIDAS) questionnaire. Headache. 2004;44(8):786–793.
  • Young KS. Psychology of computer use: XL. Addictive use of the Internet: a case that breaks the stereotype. Psychol Rep. 1996;79(3 Pt 1):899–902.
  • Bayraktar F. İnternet kullanımının ergen gelişimindeki rolü [yüksek lisans tezi]. İzmir: Ege Üniversitesi Sosyal Bilimler Enstitüsü; 2001.
  • Tutgun-Ünal A, Deniz L. Development of the Social Media Addiction Scale. AJIT-e: Academic Journal of Information Technology. 2015;6(21):51–70.
  • Borsook D, Maleki N, Becerra L, McEwen B. Understanding migraine through the lens of maladaptive stress responses: a model disease of allostatic load. Neuron. 2012;73(2):219–234.
  • Vidal C, Lhaksampa T, Miller L, Platt R. Social media use and depression in adolescents: a scoping review. Int Rev Psychiatry. 2020;32(3):235–253.
  • Asmundson GJ, Noel M, Petter M, Parkerson HA. Pediatric fear-avoidance model of chronic pain: foundation, application and future directions. Pain Res Manag. 2012;17(6):397–405.
  • Montag C, Lachmann B, Herrlich M, Zweig K. Addictive features of social media/messenger platforms and freemium games against the background of psychological and economic theories. Addict Behav Rep. 2017;5:1–6.
  • Pearson C, Swindale R, Keighley P, McKinlay AR, Ridsdale L. Not just a headache: qualitative study about web-based self-presentation and social media use by people with migraine. J Med Internet Res. 2019;21(6):e10479.
There are 24 citations in total.

Details

Primary Language English
Subjects Pain, Clinical Sciences (Other)
Journal Section Research Article
Authors

Pınar Öztürk 0000-0002-9422-5723

Mehmet Öztürk 0000-0001-6383-4457

Çile Aktan 0000-0003-1740-8339

Submission Date November 14, 2025
Acceptance Date December 25, 2025
Publication Date January 31, 2026
Published in Issue Year 2026 Volume: 7 Issue: 1

Cite

APA Öztürk, P., Öztürk, M., & Aktan, Ç. (2026). The Relationship Between Internet and Social Media Addiction And Migraine Disability In Adults With Migraine. Archives of Current Medical Research, 7(1), 207-217. https://doi.org/10.47482/acmr.1823908

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