Intolerance of uncertainty and cyberchondria among Pakistani young adults

Main Article Content

Syed Zain Abbas
Nelofar Kiran Rauf

Abstract

Objectives: To examine the relationship between intolerance of uncertainty (IU), including its components inhibitory IU and prospective IU, and cyberchondria, and to compare IU and cyberchondria across demographics such as gender, work status, education, and family system.


Methods: This cross-sectional study was conducted from April to August 2023 at National Institute of Psychology, Quaid-i-Azam University, Islamabad, after ethical approval. A purposive sample of 302 young adults aged 18–29 years who used the internet for health-related searches was included. Participants completed the Cyberchondria Severity Scale (CSS-12), the Intolerance of Uncertainty Scale (IUS-12), and a demographic questionnaire. The data were analyzed using SPSS version 25.


Results: The sample comprised 177 females (58.6%) and 125 males (41.4%).  IU showed a significant positive correlation with cyberchondria (rs=0.59, p<0.01). Inhibitory IU demonstrated a stronger positive association with cyberchondria (rs=0.64, p<0.01) compared with prospective IU (rs=0.38, p<0.01). Hours spent on the internet daily for health-related searches (rs=0.26, p<0.01) and age (rs=0.28, p<0.01) were also positively correlated with cyberchondria, whereas family monthly income (FMI) was negatively correlated with cyberchondria (rs=−0.41, p<0.01). Cyberchondria scores were significantly higher among males, working individuals, participants with PhD-level education, and those living in nuclear family systems.


Conclusion: Intolerance of uncertainty, particularly inhibitory IU, is strongly associated with cyberchondria among young adults. Demographic factors also influence these psychological tendencies. Interventions targeting uncertainty management and responsible online health information use may help reduce cyberchondria.

Article Details

How to Cite
Abbas, Syed Zain, and Nelofar Kiran Rauf. “Intolerance of Uncertainty and Cyberchondria Among Pakistani Young Adults”. KHYBER MEDICAL UNIVERSITY JOURNAL, vol. 18, no. 1, Mar. 2026, pp. 19-25, doi:10.35845/kmuj.2026.23513.
Section
Original Articles

References

1. Rajesh T, Rangaiah B. Relationship between personality traits and facebook addiction: a meta-analysis. Heliyon 2022;8(8):e10315. https://doi.org/10.1016/j.heliyon.2022.e10315

2. Dobransky K, Hargittai E. Inquiring minds acquiring wellness: uses of online and offline sources for health information. Health Commun 2012;27(4):331-43. https://doi.org/10.1080/10410236.2011.585451

3. Khazaal Y, Chatton A, Rochat L, Hede V, Viswasam K, Penzenstadler L, et al. Compulsive health-related internet use and cyberchondria. Eur Addict Res 2020;27(1):58-66. https://doi.org/10.1159/000510922

4. Nasiri M, Mohammadkhani S, Akbari M, Alilou MM. The structural model of cyberchondria based on personality traits, health-related metacognition, cognitive bias, and emotion dysregulation. Front Psychiatry 2023;13:960055. https://doi.org/10.3389/fpsyt.2022.960055

5. McElroy E, Kearney M, Touhey J, Evans J, Cooke Y, Shevlin M. The CSS-12: Development and validation of a short-form version of the Cyberchondria Severity Scale. Cyberpsychol Behav Soc Netw 2019;22(5):330–5. https://doi.org/10.1089/cyber.2018.0624

6. Bajcar B, Babiak J. Self-esteem and cyberchondria: The mediation effects of health anxiety and obsessive–compulsive symptoms in a community sample. Curr Psychol 2021;40(6):2820-31. https://doi.org/10.1007/s12144-019-00216-x

7. Carleton RN. Fear of the unknown: One fear to rule them all? J Anxiety Disord 2016;41:5-21. https://doi.org/10.1016/j.janxdis.2016.03.011

8. Carleton RN, Norton MAPJ, Asmundson GJG. Fearing the unknown: a short version of the Intolerance of Uncertainty Scale. J Anxiety Disord 2007;21(1):105-17. https://doi.org/10.1016/j.janxdis.2006.03.014

9. Zangoulechi Z, Yousefi Z, Keshavarz N. The role of anxiety sensitivity, intolerance of uncertainty, and obsessive-compulsive symptoms in the prediction of cyberchondria. Adv Biosci Clin Med 2018;6(4):1-6. https://doi.org/10.7575/aiac.abcmed.v.6n.4p.1

10. Fergus TA. Anxiety sensitivity and intolerance of uncertainty as potential risk factors for cyberchondria: a replication and extension examining dimensions of each construct. J Affect Disord 2015;184:305-9. https://doi.org/10.1016/j.jad.2015.06.017

11. Demirtaş OK, Elbir C. The effect of cyberchondria in neurosurgical outpatient care: a cross-sectional study. Pamukkale Med J 2026;19(1):1-12. https://doi.org/10.31362/patd.1748720

12. Nadeem F, Malik NI, Atta M, Ullah I, Martinotti G, Pettorruso M, et al. Relationship between health-anxiety and cyberchondria: Role of metacognitive beliefs. J Clin Med 2022;11(9):2590. https://doi.org/10.3390/jcm11092590

13. Haider M. WB’s new poverty threshold pushes Pakistan’s poverty rate to 44.7%. The News International. June 06, 2025. [Accessed on: February 08, 2026]. Available from URL: https://www.thenews.com.pk/print/1319029-wb-s-new-poverty-threshold-pushes-pakistan-s-poverty-rate-to-44-7pc

14. Sarpdağı Y, Yüksel A, Günay E. Investigation of the relationship between alexithymia and cyberchondria in nursing students. Sağlık Bilimleri Univ Hemşirelik Derg 2025;7(3):203‑12. https://doi.org/10.48071/sbuhemsirelik.1653823

15. Kanganolli SR, Kumar NP. A cross-sectional study on prevalence of cyberchondria and factors influencing it among undergraduate students. Int J Med Sci Public Health 2020;9(4):263-6. https://doi.org/10.5455/ijmsph.2020.01010202020022020

16. Peng XQ, Chen Y, Zhang YC, Liu F, He HY, Luo T, et al. The status and influencing factors of cyberchondria during the COVID-19 epidemic: a cross-sectional study in Nanyang City of China. Front Psychol 2021;12:712703. https://doi.org/10.3389/fpsyg.2021.712703

17. Turhan Cakir A. Cyberchondria levels in women with human papilloma virus. J Obstet Gynaecol Res 2022;48(10):2610-14. https://doi.org/10.1111/jog.15354

18. Özkan O, Sungur C, Özer Ö. Investigation of cyberchondria level and digital literacy on women in Turkey. J Hum Behav Soc Environ 2022;32(6):768-80. https://doi.org/10.1080/10911359.2021.1962776

19. Bala R, Srivastava A, Ningthoujam GD, Potsangbam T, Oinam A, Anal CL. 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. https://doi.org/10.3961/jpmph.20.465

20. Soomro M, Akhlaq A. Impact of cyberchondriasis on polycystic ovarian syndrome patients searching health information online. In: Proceedings of the 2018 International Conference on Digital Health (DH ’18); 2018 Apr 23-6; Lyon, France. New York (NY): Association for Computing Machinery; 2018. pp. 60-4. https://doi.org/10.1145/3194658.3194685

21. Doherty-Torstrick ER, Walton KE, Fallon BA. Cyberchondria: Parsing health anxiety from online behavior. Psychosomatics 2016;57(4):390-400. https://doi.org/10.1016/j.psym.2016.02.002

22. Jamieson S. Likert scales: how to (ab)use them. Med Educ 2004;38(12):1217-8. https://doi.org/10.1111/j.1365-2929.2004.02012.x

23. BR Web Desk. Pakistan has largest gender employment gap in South Asia, significant pay disparity: ILO. Business Recorder. July 17, 2025. [Accessed on: February 08, 2026]. Available from URL: https://www.brecorder.com/news/40373138/pakistan-has-largest-gender-employment-gap-in-south-asia-significant-pay-disparity-ilo

Similar Articles

1 > >> 

You may also start an advanced similarity search for this article.