Yıl: 2021 Cilt: 8 Sayı: 3 Sayfa Aralığı: 160 - 168 Metin Dili: İngilizce DOI: 10.5152/ArcHealthSciRes.2021.21052 İndeks Tarihi: 21-01-2022

Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases

Öz:
Objective: Perception that internet is a reliable source for information on COVID-19 could increase the search intensity for more information, consecutively increasing confusion and distress feelings, thereby could contribute to cyberchondira during pandemic. This study was done to investigate the relationship between perception of control of COVID-19 pandemic and cyberchondria levels in individuals with chronic diseases. Material and Methods: This descriptive and correlational study was done between December 1-30, 2020 by snowball sampling method. Data collection forms prepared by GoogleDocs program were sent online (e-mail, whatsapp) to individuals older than 18 who had chronic diseases, and they were asked to fill out and share the forms with other people. In the study, 267 individuals responding to the questionnaire were included. Data were collected by “Introductory Information Form,” “Perception of Control of COVID-19 Scale (PCo-COVID-19)” and “Cyberchondria Severity Scale (CSS-15).” Results: Mean age of the participants was 58.07 ± 18.31, 65.8% were female, 71.8% were married, 41.7% were literate, 27.4% were retired, 63.9% had balanced income and expenses and 28.9% had diabetes. CSS-15 mean score was found as 29.51 ± 7.14, compulsion subscale as 3.99 ± 2.03, distress subscale as 4.59 ± 2.33, excessiveness subscale as 5.46 ± 3.35, reassurance subscale as 5.52 ± 3.12 and mistrust of medical professional subscale mean score was found as 9.944.62. Mean score for PCo-COVID-19 was determined as 3.37 ± 0.70, for macro control subscale as 3.46 ± 0.92, for micro control subscale as 3.47 ± 0.78, and for controllability subscale as 3.17 ± 0.89. A significant and negative relation was found between PCo-COVID-19 and CCS-5 total and distress subscale. There was significant and negative relation between macro control and CCS-15 total and distress, excessiveness and reassurance subscales. Also there was a significant negative relation between micro control and CCS-15 total and distress subscale. Conclusion: Individuals participating in the study were found to have high COVID-19 control perception and low cyberchondria levels. As the perception of control of COVID-19 increases, cyberchondria levels decrease.
Anahtar Kelime:

Kronik Hastalığı Olan Bireylerde COVID-19 Salgını Kontrol Algısı İle Siberkondri Düzeyleri Arasındaki İlişki

Öz:
Amaç: İnternetin COVID-19 ile ilgili bilgilerin güvenilir bir kaynağı olarak algılanması, daha fazla bilgi için aramaları yoğunlaştıracak ve kafa karışıklığı ve sıkıntı hissini artıracak ve böylece salgın sırasında siberkondriye katkıda bulunacaktır. Araştırma, kronik hastalığı olan bireylerde COVID-19 salgını kontrol algısı ile siberkondri düzeyleri arasındaki ilişkiyi incelemek amacıyla yapılmıştır. Gereç ve Yöntem: Kesitsel tanımlayıcı ve ilişki arayıcı tipte olan araştırma, 1-30 Aralık 2020 tarihleri arasında gerçekleştirildi. Anket formu online olarak 18 yaş ve üstü kronik hastalığı olan bireylere gönderildi. Anketlere geri dönüş sağlayan 267 kişi araştırmaya edildi. Veriler “Tanıtıcı Bilgi Formu,” “COVID-19’un Kontrolü Algısı Ölçeği (PCo-COVID-19)” “Siberkondri Ciddiyeti Ölçeği (SCI-15)” kullanılarak toplanmıştır. Bulgular: Bireylerin SCI-15 puan ortalaması 29,51 ± 7,14, zorlantı alt boyutu 3,99 ± 2,03, aşırı kaygı alt boyutu 4,59 ± 2,33, aşırılık alt boyutu 5,46 ± 3,35, içini rahatlatma alt boyutu 5,52 ± 3,12 ve doktora güvensizlik alt boyutu 9,94 ± 4,62 olarak saptanmıştır. PCo-COVID-19 puan ortalaması 3,37 ± 0,70, makro kontrol alt boyutu 3,46 ± 0,92, mikro kontrol alt boyutu 3,47 ± 0,78 ve kontrol edilebilirlik alt boyutu puan ortalaması 3,17 ± 0,89 olarak saptandı. PCo-COVID-19 ile SCI-15 toplam ve aşırı kaygı alt boyutu arasında negatif yönde anlamlı bir ilişki bulundu. Makro kontrol ile SCI-15 toplam ve alt boyutlarından aşırı kaygı, aşırılık ve içini rahatlatma alt boyutları arasında negatif yönde anlamlı bir ilişki bulundu Mikro kontrol ile SCI-15 toplam ve aşırı kaygı alt boyutu arasında negatif yönde anlamlı bir ilişki saptanmıştır. Sonuç: Bireylerin COVID-19 kontrol algısı yüksek, siberkondri düzeyleri düşük bulunmuştur. Bireylerin COVID-19 kontrol algısı yükseldikçe siberkondri düzeyleri azalmaktadır.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • 1. World Health Organization. Coronavirus disease (COVID-19) outbreak. Available at: http://www.euro.who.int/en/health-topics/ health-emergencies/coronavirus-covid-19/novel-coronavirus2021, Erişim Tarihi: 01.03.2021.
  • 2. Harper CA, Satchell LP, Fido D, Latzman RD. Functional fear predicts public health compliance in the COVID-19 pandemic. Int J Ment Health Addict. 2020:1-14.
  • 3. Pakpour AH, Griffiths MD. The fear of COVID-19 and its role in preventive behaviors. J Concurrent Disord. 2020;2(1):58-63.
  • 4. Şeker M, Özer A, Tosun Z, Korkut C, Doğrul M. Covid-19 Pandemi Değerlendirme Raporu. Türkiye Bilimler Akademisi. 2020.
  • 5. Satici SA, Kayis AR, Satici B, Griffiths MD, Can G. Resilience, Hope, and Subjective Happiness Among the Turkish Population: Fear of COVID-19 as a Mediator. Int J Ment Health Addict. 2020:1-16. [CrossRef]
  • 6. Akbal E, Gökler M. COVID-19 Salgını Sürecinde Eksikliği ortaya çıkan bir gerçek: sağlık Okuryazarlığı. ESTÜDAM Halk Sağlığı Derg. 2020;5:148-155.
  • 7. Asmundson GJG, Taylor S. How health anxiety influences responses to viral outbreaks like COVID-19: what all decision-makers, health authorities, and health care professionals need to know. J Anxiety Disord. 2020;71:102211. [CrossRef]
  • 8. Thompson RR, Jones NM, Holman EA, Silver RC. Media exposure to mass violence events can fuel a cycle of distress. Sci Adv. 2019;5(4):eaav3502. [CrossRef]
  • 9. Starcevic V, Schimmenti A, Billieux J, Berle D. Cyberchondria in the time of the COVID 19 pandemic. Hum Behav Emerg Technol. 2020;3(1):53-62. [CrossRef]
  • 10. Doherty-Torstrick ER, Walton KE, Fallon BA. Cyberchondria: parsing health anxiety from online behavior. Psychosomatics. 2016;57(4):390-400. [CrossRef]
  • 11. Fergus TA. Cyberchondria and intolerance of uncertainty: examining when individuals experience health anxiety in response to Internet searches for medical information. Cyberpsychol Behav Soc Netw. 2013;16(10):735-739. [CrossRef]
  • 12. Jokic-Begic N, Lauri Korajlija A, Mikac U. Cyberchondria in the age of COVID-19. PLOS ONE. 2020;15(12):e0243704. [CrossRef]
  • 13. Garg S, Kim L, Whitaker M, et al. Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019—COVID-NET, 14 States, March 1-30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(15):458-464. [CrossRef]
  • 14. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. [CrossRef]
  • 15. Wang C, Pan R, Wan X, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020;17(5):1729. [CrossRef]
  • 16. Krause NM, Freiling I, Beets B, Brossard D. Fact-checking as risk communication: the multi-layered risk of misinformation in times of COVID-19. J Risk Res. 2020;23(7-8):1052-1059. [CrossRef]
  • 17. Gilmour JA, Huntington A, Broadbent R, Strong A, Hawkins M. Nurses’ use of online health information in medical wards. J Adv Nurs. 2012;68(6):1349-1358. [CrossRef]
  • 18. Altindiş S, İnci MB, Aslan FG, Altindİş M. Üniversite çalışanlarında siberkondria düzeyleri ve ilişkili faktörlerin incelenmesi. Sakarya Tıp Derg. 2018;8(2):359-370.
  • 19. Şahin B. Metodoloji. In: Tanrıöğen A, ed. Bilimsel araştırma yöntemleri. Anı Yayıncılık. 2014. Ankara.
  • 20. Çapik C. İstatistiksel güç analizi ve hemşirelik araştirmalarinda kullanimi: temel bilgiler. Anadolu Hemşirelik Sağlık Bilimleri Derg. 2014;17(4).
  • 21. Geniş B, Gürhan N, Koç M, et al. Development of perception and attitude scales related With Covid-19 pandemia. Pearson J Soc Sci Humanit. 2020;5(7):306-326.
  • 22. McElroy E, Shevlin M. The development and initial validation of the cyberchondria severity scale (CSS). J Anxiety Disord. 2014;28(2):259-265. [CrossRef]
  • 23. Uzun SU, Zencir M. Reliability and validity study of the Turkish version of cyberchondria severity scale. Curr Psychol. 2021;40(1):65- 71. [CrossRef]
  • 24. Bostan S, Erdem R, Öztürk YE, Kılıç T, Yılmaz A. The effect of COVID-19 pandemic on the Turkish society. Electron J Gen Med. 2020;17(6).
  • 25. Lüdecke D, von dem Knesebeck O. Protective behavior in course of the COVID-19 outbreak-survey results from Germany. Front Public Health. 2020;8:572561. [CrossRef]
  • 26. Lau JT, Yang X, Tsui H, Kim JH. Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. J Epidemiol Community Health. 2003;57(11):864-870. [CrossRef]
  • 27. Yıldırım M, Güler A. COVID-19 severity, self-efficacy, knowledge, preventive behaviors, and mental health in Turkey. Death Stud. 2020:1-8. [CrossRef]
  • 28. Bala R, Srivastava A, Ningthoujam GD, et al. An observational study in Manipur State, India on preventive behavior influenced by social media During the COVID-19 pandemic mediated by cyberchondria and information overload. J Prev Med Public Health. 2021;54(1):22-30. [CrossRef]
  • 29. 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. [CrossRef]
  • 30. Al Dameery K, Quteshat M, Al Harthy I, Khalaf A. Cyberchondria, Uncertainty, and Psychological Distress among Omanis during COVID-19: an Online Cross-Sectional Survey. Research Square; 2020:1-11. doi: 10.21203/rs.3.rs-84556/v1
  • 31. Shailaja B, Shetty V, Chaudhury S, Thyloth M. Exploring cyberchondria and its associations in dental students amid COVID-19 infodemic. Ind Psychiatry J. 2020;29(2):257-267. [CrossRef]
  • 32. Güzel S, Özer Z. Kalp Hastalarında Siberkondria Düzeyleri ve Etkileyen faktörler. Turk J Cardio Vasc Nurs. 2021;12(27):36-46.
  • 33. Kwok KO, Li KK, Chan HH, et al. Community responses during the early phase of the COVID-19 epidemic in Hong Kong: risk perception, information exposure and preventive measures. Emerg Infect Dis. 2020;26(7):1575-1579. [CrossRef]
  • 34. Benker T, ARIKAN Y. Turkish patients’ use of internet and social media for health care and drug side effect information. Drug Saf. 2011;34(10):1003.
  • 35. Yılmaz E. Türkiye’de hastaların internette tıbbi enformasyon arama davranışlarının doktor-hasta iletişimine etkileri. Galatasaray Univ İletişim Derg. 2014:93-108.
  • 36. Tutku E, Iliman E, Dönmez E. Bireylerin Sağlik Anksiyetesi Düzeyleri Ile Covid-19 Salgini Kontrol Algisinin Karşilaştirilmasi. Uluslararası Sağlık Yönetimi Stratejileri Araştırma Derg. 2020;6(1):139-154.
  • 37. Zheng L, Miao M, Gan Y. Perceived control buffers the effects of the COVID 19 pandemic on general health and life satisfaction: the mediating role of psychological distance. Appl Psychol Health Well Being. 2020;12(4):1095-1114. [CrossRef]
  • 38. Alonso-Ferres M, Imami L, Slatcher RB. Untangling the effects of partner responsiveness on health and well-being: the role of perceived control. J Soc Personal Relat. 2020;37(4):1150-1171. [CrossRef]
  • 39. Li HO, Bailey A, Huynh D, Chan J. YouTube as a source of information on COVID-19: a pandemic of misinformation? BMJ Glob Health. 2020;5(5):5. [CrossRef]
APA Bahçecioğlu Turan G, ÖZER Z, teke n (2021). Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. , 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
Chicago Bahçecioğlu Turan Gülcan,ÖZER ZÜLFÜNAZ,teke neslihan Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. (2021): 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
MLA Bahçecioğlu Turan Gülcan,ÖZER ZÜLFÜNAZ,teke neslihan Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. , 2021, ss.160 - 168. 10.5152/ArcHealthSciRes.2021.21052
AMA Bahçecioğlu Turan G,ÖZER Z,teke n Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. . 2021; 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
Vancouver Bahçecioğlu Turan G,ÖZER Z,teke n Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. . 2021; 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
IEEE Bahçecioğlu Turan G,ÖZER Z,teke n "Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases." , ss.160 - 168, 2021. 10.5152/ArcHealthSciRes.2021.21052
ISNAD Bahçecioğlu Turan, Gülcan vd. "Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases". (2021), 160-168. https://doi.org/10.5152/ArcHealthSciRes.2021.21052
APA Bahçecioğlu Turan G, ÖZER Z, teke n (2021). Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. Archives of health science and research (Online), 8(3), 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
Chicago Bahçecioğlu Turan Gülcan,ÖZER ZÜLFÜNAZ,teke neslihan Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. Archives of health science and research (Online) 8, no.3 (2021): 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
MLA Bahçecioğlu Turan Gülcan,ÖZER ZÜLFÜNAZ,teke neslihan Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. Archives of health science and research (Online), vol.8, no.3, 2021, ss.160 - 168. 10.5152/ArcHealthSciRes.2021.21052
AMA Bahçecioğlu Turan G,ÖZER Z,teke n Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. Archives of health science and research (Online). 2021; 8(3): 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
Vancouver Bahçecioğlu Turan G,ÖZER Z,teke n Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases. Archives of health science and research (Online). 2021; 8(3): 160 - 168. 10.5152/ArcHealthSciRes.2021.21052
IEEE Bahçecioğlu Turan G,ÖZER Z,teke n "Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases." Archives of health science and research (Online), 8, ss.160 - 168, 2021. 10.5152/ArcHealthSciRes.2021.21052
ISNAD Bahçecioğlu Turan, Gülcan vd. "Relation Between Perception of Control of COVID-19 Pandemic and Cyberchondria Levels in Individuals With Chronic Diseases". Archives of health science and research (Online) 8/3 (2021), 160-168. https://doi.org/10.5152/ArcHealthSciRes.2021.21052