Relationship Between Early Maladaptive Schemas, COVID-19 Anxiety, and Death Anxiety During COVID-19 Pandemic

Message:
Article Type:
Brief Report (دارای رتبه معتبر)
Abstract:
Background

 The COVID-19 pandemic led to significant concerns and public panic. Due to the ambiguous and deadly nature of this virus, it triggers anxiety related to COVID-19 and a fear of death. On the other hand, early maladaptive schemas (EMSs) can impact anxiety.

Objectives

 The current research aimed to determine the relationship between EMSs, COVID-19 anxiety, and death anxiety during the COVID-19 pandemic among Zahedan University of Medical Sciences (ZAUMS) students in Iran.

Methods

 The present descriptive-analytical cross-sectional study was conducted on 120 ZAUMS students selected through a purposive and convenience sampling technique from May 2022 to December 2022. The data were collected using the COVID-19 Anxiety Scale, the short version of the Young Schema Questionnaire (YSQ), and the Templer Death Anxiety Scale (DAS). The data were analyzed in SPSS 22 using various statistical methods, including frequency analysis, mean calculation, standard deviation calculation, descriptive indices, and multiple regression analysis.

Results

 The disconnection and rejection schema predicted COVID-19 anxiety without a moderator or with a history of contact with a COVID-19 patient as a moderator (B = 0.10, t = 2.69, P < 0.05, R2 = 0.09). Impaired autonomy and performance could predict death anxiety with the moderating role of a history of contact with a COVID-19 patient (B = 0.31 t = 2.14, P < 0.05), history of contracting COVID-19 (B = 0.24; t = 2.12, P < 0.05), discipline, and study period or without any moderator. Over-vigilance could predict death anxiety with the moderating role of discipline or without a moderator (B = 0.41, t = 2.93, P < 0.05).

Conclusions

 Disconnection and rejection with or without a moderator predict COVID-19 anxiety. Over-vigilance, impaired autonomy, and performance schema domain predict death anxiety. Effective moderators in predicting variables are contact with a COVID-19 patient, history of contracting COVID-19, discipline, and study period.

Language:
English
Published:
Journal of Health Scope, Volume:13 Issue: 1, Feb 2024
Page:
11
https://magiran.com/p2706943  
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