Personality Traits and Cyberchondria: Investigating the Mediating Role of Rumination among Women with Polycystic Ovarian Syndrome
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This study examined the relationship between personality traits and cyberchondria using rumination as a mediator in women diagnosed with polycystic ovarian syndrome (PCOS). It was hypothesized that there will be a significant relationship between personality traits and cyberchondria in women with PCOS. Additionally, each personality trait will likely to predict cyberchondria. Furthermore, rumination will significantly mediate the relationship between traits of personality and cyberchondria. Correlational research design was used employing non-probability purposive sampling technique, to recruit the participants and data collection. The data were collected using Big Five Inventory, Rumination Response Style Questionnaire, and Cyberchondria Severity Scale. Correlational analysis, multiple regression and mediation analysis were performed. Findings confirmed a significant correlation between extraversion and cyberchondria and rumination and cyberchondria. Results also revealed that extraversion and rumination are significant predictors of cyberchondria. In conclusion, rumination acts as a significant mediator between conscientiousness and cyberchondria, agreeableness and cyberchondria and neuroticism and cyberchondria. This study fills the research gap by spreading awareness to all those women with different personality traits who are experiencing PCOS. Individuals who know themselves better can control themselves more efficiently. This research can also provide guidance in the development of therapeutic interventions for cyberchondria, particularly for women with PCOS.
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Asmundson, G. J., & Taylor, S. (2020). How health anxiety influences responses to viral outbreaks like COVID-19: What all decision-makers, health authorities, and health care professionals need to know. Journal of Anxiety Disorders, 71, Article e102211. https://doi.org/10.1016/j.janxdis.2020.102211
Bajcar, B., & Babiak, J. (2020). Neuroticism and cyberchondria: The mediating role of intolerance of uncertainty and defensive pessimism. Personality and Individual Differences, 162, Article e110006. https://doi.org/10.1016/j.paid.2020.110006
Bazarganipour, F., Ziaei, S., Montazeri, A., Foroozanfard, F., Kazemnejad, A., Faghihzadeh, S., & Faghihzadeh, S. (2013). Health-related quality of life in patients with polycystic ovary syndrome (PCOS): A model-based study of predictive factors. Journal of Sexual Medicine, 10(10), 2672–2682. https://doi.org/10.1111/jsm.12263
Błachnio, A., Przepiórka, A., Kot, P., Cudo, A., & McElroy, E. (2023). The mediating role of rumination between stress appraisal and cyberchondria. Acta Psychologica, 238, Article e103946. https://doi.org/10.1016/j.actpsy.2023.103946
Bordbar, F. T. (2023). Determining the relationship and predictive contribution of personality traits and self-concept to cyberchondria during the coronavirus disease 2019 pandemic. Journal of Medicine and Public Health, 4, Article e1061.
de la Cuesta, J., Catedrilla, J., Ebardo, R., Limpin, L., Leaño, C., & Trapero, H. (2019, December 2–6). Personality traits of future nurses and cyberchondria: Findings from an emerging economy [Paper presentation]. Proceedings of Proceedings of the International Conference on Computers in Education, Kenting, Taiwan.
Hastall, M. R., & Wagner, A. J. (2017). Enhancing selective exposure to health messages and health intentions. Journal of Media Psychology, 28(3), 97–99. https://doi.org/10.1027/1864-1105/a000204
John, O. P., Donahue, E. M., & Kentle, R. L. (1991). Big Five Inventory. Journal of Personality and Social Psychology, 61(1), Article e11. https://doi.org/10.1037/0022-3514.61.1.11
Joyner, C., Rhodes, R. E., & Loprinzi, P. D. (2018). The prospective association between the five-factor personality model with health behaviors and health behavior clusters. Europe’s Journal of Psychology, 14(4), 880–896. https://doi.org/10.5964/ejop.v14i4.1750
Jungmann, S. M., & Dessauer, E. (2025). Health-related internet use and cyberchondria in adolescents: Population-based cross-sectional survey. Journal of Medical Internet Research, 27, Article e65792. https://doi.org/10.2196/65792
Hoegar, K. M., Dokras, A., & Piltonen, T. (2021). Update on PCOS: Consequences, challenges, and guiding treatment. The Journal of Clinical Endocrinology & Metabolism, 106(3). https://doi.org/10.1210/clinem/dgaa839
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin, 136(5), 768–821. https://doi.org/10.1037/a0020327
Liu, A., Yu, Y., & Sun, S. (2023). How is the Big Five related to college students’ anxiety: The role of rumination and resilience. Personality and Individual Differences, 200, Article 111901. https://doi.org/10.1016/j.paid.2023.111901
Maftei, A., & Holman, A. C. (2020). Cyberchondria during the coronavirus pandemic: The effects of neuroticism and optimism. Frontiers in Psychology, 11, Article 567345. https://doi.org/10.3389/fpsyg.2020.567345
Manzoor, I., Ahmad, S., & Arshad, H. (2025). Health anxiety, personality traits, emotional regulation and cyberchondria among university students. Journal of Behavioural Sciences, 35(1), 28.
McCrae, R. R., & Costa, P. T., Jr. (2008). The five-factor theory of personality. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (3rd ed., pp. 159–181). Guilford Press.
McElroy, E., & Shevlin, M. (2014). The development and initial validation of the Cyberchondria Severity Scale (CSS). Journal of Anxiety Disorders, 28(2), 259–265.
McMullan, R. D., Berle, D., Arnáez, S., & Starcevic, V. (2019). The relationships between health anxiety, online health information seeking, and cyberchondria: A systematic review and meta-analysis. Journal of Affective Disorders, 245, 270–278. https://doi.org/10.1016/j.jad.2018.11.037
Nasiri, M., Mohammadkhani, S., Akbari, M., & Alilou, M. M. (2023). The structural model of cyberchondria based on personality traits, health-related metacognition, cognitive bias, and emotion dysregulation. Frontiers in Psychiatry, 13, Article 960055. https://doi.org/10.3389/fpsyt.2022.960055
Newby, J. M., & McElroy, E. (2020). The impact of internet-delivered cognitive behavioural therapy for health anxiety on cyberchondria. Journal of Anxiety Disorders, 69, Article 102150. https://doi.org/10.1016/j.janxdis.2020.102150
Nolen-Hoeksema, S., & Morrow, J. (1991). A prospective study of depression and posttraumatic stress symptoms after a natural disaster: The 1989 Loma Prieta earthquake. Journal of Personality and Social Psychology, 61(1), 115–121.
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424. https://doi.org/10.1111/j.1745-6924.2008.00088.x
Oniszczenko, W. (2025). Body mass index, Big Five personality traits and cyberchondria in a sample of Polish men and women: A mediation model. Psychiatria Polska, 59(2). https://doi.org/10.12740/PP/OnlineFirst/182792
Opoku, A. A., Abushama, M., & Konje, J. C. (2023). Obesity and menopause. Best Practice & Research Clinical Obstetrics & Gynaecology, 88, Article 102348. https://doi.org/10.1016/j.bpobgyn.2023.102348
Pinto, J., Cera, N., & Pignatelli, D. (2024). Psychological symptoms and brain activity alterations in women with PCOS and their relation to reduced quality of life: A narrative review. Journal of Endocrinological Investigation, 47, 1–22. https://doi.org/10.1007/s40618-024-02329-y
Schenkel, S., Jungmann, S., Gropalis, M., & Witthöft, M. (2021). Conceptualizations of cyberchondria and relations to the anxiety spectrum: A systematic review and meta-analysis. Journal of Medical Internet Research, 23(11), Article e27835. https://www.jmir.org/2021/11/e27835
Singh, P., & Mishra, N. (2023). Rumination moderates the association between neuroticism, anxiety and depressive symptoms in Indian women. Indian Journal of Psychological Medicine, 45(6), 614–621. https://doi.org/10.1177/02537176231171949
Soomro, M., & Akhlaq, A. (2018, April 23–26). Impact of cyberchondriasis on polycystic ovarian syndrome patients searching health information online [Paper presentation]. Proceedings of the 2018 International Conference on Digital Health, Lyon, France.
Sucu, S. T., Gayretli, T. K., Küçükkayıkçı, A. S., Kurt, D., Ergörün, S. K., Eryılmaz, T., & Soysal, Ç. (2024). Cyberchondria levels in adolescent patients with polycystic ovary syndrome in the digital age. Journal of Pediatric and Adolescent Gynecology, 37(6), 569–573. https://doi.org/10.1016/j.jpag.2024.08.006
Torabi, S. S., & Pourmohammad, P. (2025). The relationship between neuroticism and cyberchondria: The mediating role of intolerance of uncertainty and metacognitive beliefs about health. Research Square. https://doi.org/10.21203/rs.3.rs-6675727/v1
Xie, D., & Cobb, C. L. (2020). Revised NEO Personality Inventory (NEO-PI-R). In B. J. Carducci, C. S. Nave, & B. J. Carducci (Eds.), The Wiley encyclopedia of personality and individual differences: Measurement and assessment (pp. 335–350). Wiley. https://doi.org/10.1002/9781118970843.ch127
Yin, X., Ji, Y., Chan, C. L. W., & Chan, C. H. Y. (2021). The mental health of women with polycystic ovary syndrome: A systematic review and meta-analysis. Archives of Women’s Mental Health, 24, 11–27. https://doi.org/10.1007/s00737-020-01043-x
Zhao, Y., Zhao, M., & Song, S. (2022). Online health information seeking among patients with chronic conditions: Integrating the health belief model and social support theory. Journal of Medical Internet Research, 24(11), Article e42447. https://doi.org/10.2196/42447
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