بعض العوامل النفسية والديمغرافية المنبئة بالقلق المرتبط بالإصابة بفيروس كورونا المستجد (كوفيد-19)‎ في الكويت باستخدام أسلوب نمذجة المعادلات البنائية

Abstract EN

Objectives: the World Health Organization (WHO) considered the outbreak of the novel corona virus as a global pandemic on March 23, 2020, which had a significant impact on most of the globe’s population economically, socially and psychologically; therefore, it was important to study the anxiety associated with the outbreak as one of the most important psychological effects of the outbreak of the disease, and to study the predictors of corona-related anxiety via some personal, psychological and demographic variables.

This study aimed to develop an inventory for assessing the symptoms of corona-related anxiety and identifying the most important psychological and personal variables that can predict anxiety.

Methods: the main sample of the study was a convenient non-random sample consisting of 538 participants, whose ages range from 18 to 70 years, with an average age of 35.61 years, and a standard deviation of 11.33 years.

Females represented slightly more than two-thirds (70.1 %) of the core sample size, most of whom (83.8 %) were Kuwaitis.

The demographic data was collected from the study sample, and after checking the quality of their psychometric properties, the study administered the anxiety sensitivity index, a humor style questionnaire, and a corona-related anxiety inventory.

The data was analyzed using the partial least squares structural equations modeling (PLS-SEM).

Results: the study found differences between males and females in some dimensions of anxiety sensitivity and some humor styles.

The study also found statistically significant differences between Kuwaitis and non-Kuwaitis in some dimensions of corona-related anxiety.

No significant differences were found related to the marital status, level of experience or work status.

The study found that there was a significant relationship between age and some dimensions of anxiety sensitivity and corona- related anxiety.

Conclusion: the study revealed a good predictive model for predicting corona-related anxiety via anxiety sensitivity-physical symptoms, and self-enhancement style of the sense of humor.

Practical implications of the current study results were also discussed, and proposals and recommendations were presented accordingly.