The structural model of cyberchondria based on personality traits, health-related metacognition, cognitive bias, and emotion dysregulation

Mohammad Nasiri; Shahram Mohammadkhani; Mehdi Akbari; Majid Mahmoud Alilou

doi:10.3389/fpsyt.2022.960055

The structural model of cyberchondria based on personality traits, health-related metacognition, cognitive bias, and emotion dysregulation

Front Psychiatry. 2023 Jan 9:13:960055. doi: 10.3389/fpsyt.2022.960055. eCollection 2022.

Authors

Mohammad Nasiri¹, Shahram Mohammadkhani¹, Mehdi Akbari¹, Majid Mahmoud Alilou²

Affiliations

¹ Department of Clinical Psychology, Faculty of Psychology and Education, Kharazmi University, Tehran, Iran.
² Department of Psychology, Faculty of Psychology and Educational Sciences, University of Tabriz, Tabriz, Iran.

Abstract

Introduction: Cyberchondria is excessive seeking for online health-related information related to increasing health anxiety and distress levels. The current study investigated the mediating role of health-related metacognition, cognitive bias, and emotion dysregulation in the relationship between personality traits and cyberchondria.

Methods: Participants were 703 individuals 18+ years old who had access to the internet (males = 43.8%, mean age = 33.82 ± 10.09 years and females = 56.2%, mean age = 34.37 ± 11.16 years). They voluntarily completed a questionnaire package that included the Cyberchondria Severity Scale (CSS), the revised NEO Personality Inventory (NEO-PI-R), the Difficulties in Emotion Regulation Scale (DERS), the Meta-Cognitions about Health Questionnaire (MCQ-HA), and the Health Cognitions Questionnaire (HCQ).

Results: The initial evaluation of the model demonstrated that the personality traits of openness to experience, agreeableness, and conscientiousness had no significant relationship with other variables in the structural model, and the effects of neuroticism and extroversion were the only significant results. Rerunning the model with the removal of non-significant variables revealed a full mediation of health-related metacognition, cognitive bias, and emotion dysregulation in the relation between personality traits (neuroticism and extraversion) and cyberchondria. Fit indices demonstrated the acceptable fit of the model with the collected data (χ² = 979.24, p <.001; NFI = 0.92, CFI = 0.93, GFI = 0.90, IFI = 0.93, RMSEA = 0.071, and SRMR = 0.063). The results indicated that the present model could explain R ² = 54% of cyberchondria variance.

Discussion: These findings suggest that health-related metacognition, cognitive bias, and emotion dysregulation could demonstrate a full mediating role in the correlation between personality traits and cyberchondria.

Keywords: cognitive bias; cyberchondria; emotion dysregulation; health-related metacognition; personality traits.