Cyberchondria, Covid-19 phobia, and well-being: a relational study on teachers

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Neşe Karakaş
Çiğdem Tekin
Recep Bentli
Ekrem Demir


Cyberchondria, COVID-19 Phobia Scale, İnfodemic, psychological well-being


Background: This study aims at investigating level and contributor factors of Cyberchondria, Covid-19-related Phobia, and Well-Being in a sample of teachers in Turkey. Methods: The study was conducted on teachers (n=1000) working in a province in eastern Turkey. Data for the study were collected using a form that included participants’ descriptive characteristics, the Covid-19 Phobia Scale (C19P-SE), the Cyberchondria Severity Scale, and the World Health Organization-5 Well-Being Index (WHO-5). Spearman correlation analysis, Mann-Whitney U test, and Kruskal Wallis analysis of variance were used to analyze the data. Results: As participant’s cyberchondria levels rose, C19P-SE scores increased (r=0.271, p<0.001), and WHO-5 scores decreased (r=-0.224, p<0.05). Corona-phobia was higher in those who used social media than in those who did not (p<0.05). Cyberchondria scale scores were higher among those who had taken medications without a physician’s recommendation during the pandemic. Participants who had a disabled person or a person in need of care in their household had higher scores for distrust of the physician and C19P-SE than for the cyberchondria severity scale sub-dimension, and the WHO-5 mean scores were lower (p<0.001, P=0.016, and P=0.020, respectively).Conclusions: The study results show that increasing levels of cyberchondria trigger Covid-19 phobias in teachers during the Covid-19 pandemic and negatively affect their well-being. This descriptive study can help understand the risk group for cyberchondria, the influencing factors, and the health and economic consequences, and identify strategies for effective combating with cyberchondria.

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1. Budak F, Korkmaz Ş. COVID-19 pandemi sürecine yönelik genel bir değerlendirme: Türkiye örneği. So-syal Araştırmalar ve Yönetim Dergisi,2020(1):62-79.
2. Tüzün H, Demirköse H, Özkan S, Dikmen A, İlhan N. Covid-19 Pandemisi ve Risk İletişimi. Gazi Sağlık Bi-limleri Dergisi.2020:1-8.
3. Jungmann SM, Witthöft M. Health anxiety, cyberchondria, and coping in the current COVID-19 pandemic: Which factors are related to coronavirus anxiety? J Anxiety Disord. 2020;73:102239.
4. WHO. Infodemic 2022 [Available from:]
5. Jahrami H, BaHammam AS, AlGahtani H, et al. The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19. Sleep Breath. 2020:1-9.
6. Gölbaşi SD, Metintas S. COVID-19 Pandemisi Ve İnfodemi. ESTÜDAM Halk Sağlığı Dergisi.5:126-37.
7. Laato S, Islam AN, Islam MN, Whelan E. What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? Eur J Inf Syst.. 2020;29(3):288-305.
8. Starcevic V, Berle D. Cyberchondria: towards a better understanding of excessive health-related Inter-net use. Expert Rev Neurother. 2013;13(2):205-13.
9. Norr AM, Allan NP, Boffa JW, Raines AM, Schmidt N. Validation of the Cyberchondria Severity Scale (CSS): replication and extension with bifactor modeling. J Anxiety Disord. 2015;31:58-64.
10. Fergus TA. The Cyberchondria Severity Scale (CSS): an examination of structure and relations with health anxiety in a community sample. J Anxiety Disord. 2014;28(6):504-10.
11. Ibrahim NKJ. Zika virus: Epidemiology, current phobia and preparedness for upcoming mass gatherings, with examples from World Olympics and Pilgrimage. Pakistan journal of medical sciences. 2016;32(4):1038.
12. Kim CW, Song HR. Structural relationships among public’s risk characteristics, trust, risk perception and preventive behavioral intention: The case of MERS in Korea. Crisisnomy.2017;13:85-95.
13. Arpaci I, Karataş K, Baloğlu M. The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S). Pers Individ Dif . 2020;164:110108.
14. Deniz S, Bentli R, Kalkanli MT, et al. Malatya ilinde çalışan öğretmenlerin sağlık okuryazarlığı düzeyle-rinin ve ilişkili faktörlerin belirlenmesi. Sakarya Tıp Dergisi. 2020;10(1):28-36.
15. McElroy E, Shevlin MJ. The development and initial validation of the cyberchondria severity scale (CSS). J Anxiety Disord.2014;28(2):259-65.
16. Uzun SU, Zencir M. Reliability and validity study of the Turkish version of cyberchondria severity scale. Curr Psychol.2018:1-7.
17. Bech P, Gudex C, Johansen KS, psychosomatics. The WHO (Ten) well-being index: validation in diabe-tes.Psychother Psychosom.1996;65(4):183-90.
18. Topp CW, Ostergaard SD, Sondergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom. 2015;84(3):167-76.
19. Topp CW, Østergaard SD, Søndergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom.. 2015;84(3):167-76.
20. Misra S, Stokols D. Psychological and health outcomes of perceived information overload. Environ Be-hav. 2012;44(6):737-59.
21. Ahorsu DK, Lin C-Y, Imani V, et al. The fear of COVID-19 scale: development and initial validation. Int J Ment Health Addict..2020:1-9.
22. Lazer DM, Baum MA, Benkler Y, et al. The science of fake news. 2018;359(6380):1094-6.
23. Zarocostas JJ. How to fight an infodemic. Lancet.2020;395(10225):676.
24. Wu X, Nazari N, Griffiths MD. Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study. J Med Internet Res. 2021;23(6):e26285.
25. Tarhan N, Tutgun-Ünal A, Ekinci Y. Yeni Kuşak Hastalığı Siberkondri: Yeni Medya Çağında Kuşakların Si-berkondri Düzeyleri İle Sağlık Okuryazarlığı İlişkisi. OPUS Uluslararası Toplum Araştırmaları Dergisi .17(37):4253-97.
26. Ho TTQ. Facebook Addiction Partially Mediated the Association Between Stress Symptoms and Sleep Disturbance Among Facebook Users. Int J Ment Health Addict.2021:1-11.
27. Cinelli M, Quattrociocchi W, Galeazzi A, et al. The COVID-19 social media infodemic. Sci Rep.2020;10(1):1-10.
28. Dağli DA, Büyükbayram A, Arabaci LB. COVID-19 tanısı alan hasta ve ailesine psikososyal yaklaşım. İz-mir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi.2020;5(2):191-5.
29. Nguyen TT, Le NT, Nguyen MH, et al. Health Literacy and Preventive Behaviors Modify the Association between Pre-Existing Health Conditions and Suspected COVID-19 Symptoms: A Multi-Institutional Survey. Int J Environ Res Public Health. 2020;17(22).