The Cyberchondria Severity Scale (CSS): Validity and Reliability Study of the Turkish Version
Yavuz Selvi, Seda Gokce Turan, Ayca Asena Sayin, Murat Boysan, Ali Kandeger
Sleep and Hypnosis: A Journal of Clinical Neuroscience and Psychopathology 2018;20(4):241-246
Objective: Even though the internet is a valuable resource for medical information, it has the potential to increase anxiety, fear or obsessive-compulsive behaviours, particularly among individuals more prone to health related anxiety. Researchers have found that health anxiety, hypochondria, and online health searches are associated with increased anxious symptomatology. The aim of this study is to investigate the psychometric properties of the Turkish version of the Cyberchondria Severity Scale, a measure of online health anxiety.
Method: Three hundred thirty-seven university students with an age range of 16-55 were included in the study. The Cyberchondria Severity Scale (CSS), Internet Addiction Test (IAT), Anxiety Sensitivity Inventory-3 (ASI-3), and Health Anxiety Inventory (HAI) were administered to participants.
Results: Confirmatory factor analysis revealed that five-factor solution best fit to the data. The overall and subscales of the CSS had excellent internal consistency (Cronbach ? = 0.91, for the overall measure, and Cronbach ? values ranged from 0.78 to 0.87), with an exception of ‘mistruct of medical professional’ subscale (Cronbach ? = 0.64). The total and subscales of the CSS had generally good convergent validity.
Conclusion: The CSS is a newly developed screening tool to assess online health anxiety, and present study demonstrated that the Turkish version of the scale had promising psychometric properties.
REFERENCES
Aiken, M., & Kirwan, G. (2012). Prognoses for diagnoses: medical search online and “cyberchondria”. Paper presented at the BMC Proceedings.
Aiken, M., Kirwan, G., Berry, M., & O’Boyle, C. A. (2012). The age of cyberchondria.
Aydemir, Ö., Kirpinar, I., Tülay, S., Uykur, B., & Cengisiz, C. (2013). Reliability and validity of the Turkish Version of the Health Anxiety Inventory. Nöro Psikiyatri Arşivi, 50(4), 325.
Barke, A., Bleichhardt, G., Rief, W., & Doering, B. K. (2016). The cyberchondria severity scale (CSS): German validation and development of a short form. International journal of behavioral medicine, 23(5), 595-605.
Boysan, M., Kuss, D. J., Barut, Y., Ayköse, N., Güleç, M., & Özdemir, O. (2017). Psychometric properties of the Turkish version of the Internet Addiction Test (IAT). Addictive behaviors, 64, 247-252.
Deetjen, U. (2017). The lifestyle paradox: adverse effects of Internet use on self-rated health status. Information, Communication & Society, 1-15.
Fergus, T. A. (2014). The Cyberchondria Severity Scale (CSS): an examination of structure and relations with health anxiety in a community sample. Journal of anxiety disorders, 28(6), 504-510.
Fergus, T. A., & Dolan, S. L. (2014). Problematic internet use and internet searches for medical information: the role of health anxiety. Cyberpsychology, Behavior, and Social Networking, 17(12), 761-765.
Fergus, T. A., & Russell, L. H. (2016). Does cyberchondria overlap with health anxiety and obsessive–compulsive symptoms? An examination of latent structure and scale interrelations. Journal of anxiety disorders, 38, 88-94.
Fergus, T. A., & Spada, M. M. (2017). Cyberchondria: Examining relations with problematic Internet use and metacognitive beliefs. Clinical Psychology & Psychotherapy.
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
Kline, R. (2010). Principles and Practice of Structural Equation Modeling, 3rd edn Guilford Press. New York, USA.
Lewis, T. (2006). Seeking health information on the internet: lifestyle choice or bad attack of cyberchondria? Media, Culture & Society, 28(4), 521-539.
Mantar, A., Yemez, B., & Alkin, T. (2010). The validity and reliability of the Turkish version of the anxiety sensitivity index-3. Turk Psikiyatri Dergisi, 21(3), 1.
McElroy, E., & Shevlin, M. (2014). The development and initial validation of the cyberchondria severity scale (CSS). Journal of anxiety disorders, 28(2), 259-265.
Norr, A. M., Albanese, B. J., Oglesby, M. E., Allan, N. P., & Schmidt, N. B. (2015). Anxiety sensitivity and intolerance of uncertainty as potential risk factors for cyberchondria. Journal of Affective Disorders, 174, 64-69.
Norr, A. M., Allan, N. P., Boffa, J. W., Raines, A. M., & Schmidt, N. B. (2015). Validation of the Cyberchondria Severity Scale (CSS): replication and extension with bifactor modeling. Journal of anxiety disorders, 31, 58-64.
Salkovskis, P. M., Rimes, K. A., Warwick, H., & Clark, D. (2002). The Health Anxiety Inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychological medicine, 32(5), 843-853.
Starcevic, V. (2017). Cyberchondria: Challenges of Problematic Online Searches for Health-Related Information. Psychotherapy and Psychosomatics, 86(3), 129-133.
Starcevic, V., & Aboujaoude, E. (2015). Cyberchondria, cyberbullying, cybersuicide, cybersex:“new” psychopathologies for the 21st century? World Psychiatry, 14(1), 97-100.
Starcevic, V., & Berle, D. (2013). Cyberchondria: towards a better understanding of excessive health-related Internet use. Expert Review of Neurotherapeutics, 13(2), 205-213.
Taylor, S., Zvolensky, M. J., Cox, B. J., Deacon, B., Heimberg, R. G., Ledley, D. R., . . . Stewart, S. H. (2007). Robust dimensions of anxiety sensitivity: development and initial validation of the Anxiety Sensitivity Index-3. Psychological assessment, 19(2), 176.
White, R. W., & Horvitz, E. (2009). Cyberchondria: studies of the escalation of medical concerns in web search. ACM Transactions on Information Systems (TOIS), 27(4), 23.
Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction--and a winning strategy for recovery: John Wiley & Sons.