The Relative Contribution of Personality Traits and Cyber Illness Anxiety in Predicting Quality of Life among University Students

Authors

  • Abdullah Abdulaziz Almunahi Department of Psychology College of Social Sciences Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

DOI:

https://doi.org/10.3145/epi.2024.ene.0520

Keywords:

Personality Traits, Cyberchondria, Quality of Life, University Students, Saudi Arabia, Psychological Well-being, Cultural Scale Development.

Abstract

This study investigates the influence of personality traits and cyberchondria on the quality of life (QoL) among Saudi Arabian university students while also developing a reliable and culturally appropriate QoL scale. Using a cross-sectional design, 376 students completed self-report measures assessing personality traits, cyberchondria, and QoL, aiming to identify dominant traits, dimensions of cyberchondria, and their predictive relationships with QoL. The findings revealed that openness, conscientiousness, agreeableness, and extraversion were the most prevalent personality traits, whereas neuroticism was the least. Among the dimensions of cyberchondria, the cognitive aspect was most prominent, followed by emotional and behavioural aspects. Regarding QoL, the health domain scored highest (4.12 ± 0.76), followed by social (3.96 ± 0.82) and psychological (3.88 ± 0.91) domains. Regression analysis identified agreeableness (β = 0.45, p < 0.01) and behavioural aspects of cyberchondria (β = -0.34, p < 0.01) as significant predictors of QoL. The newly developed 43- item QoL scale demonstrated excellent internal consistency (Cronbach's α = 0.89), confirming its reliability. The study highlights that fostering agreeableness and reducing cyberchondria could improve students' well-being, contributing to the existing literature on QoL determinants and offering a valuable tool for further research

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Published

2024-12-17

How to Cite

Abdullah Abdulaziz Almunahi. (2024). The Relative Contribution of Personality Traits and Cyber Illness Anxiety in Predicting Quality of Life among University Students. Profesional De La información, 33(5). https://doi.org/10.3145/epi.2024.ene.0520

Issue

Section

Research articles