The Role of Early Maladaptive Schemas in Predicting Anxiety and Depression in Long-COVID Patients: The Impact of Emotion Regulation
سال انتشار: 1405
نوع سند: مقاله کنفرانسی
زبان: فارسی
مشاهده: 36
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شناسه ملی سند علمی:
RVCONF08_027
تاریخ نمایه سازی: 29 شهریور 1405
چکیده مقاله:
The global prevalence of COVID-۱۹ has not only had significant physical consequences but also substantial psychological effects. Investigating the factors related to these outcomes in individuals suffering from long COVID is of critical importance. This study aimed to explore the role of early maladaptive schemas in predicting anxiety, depression, and self-injurious behaviors, with emotion regulation as a mediator, in long COVID patients. The research employed a correlational design and was applied in nature. The statistical population included individuals with long COVID in Kermanshah city in ۲۰۲۴, who were selected through convenience sampling, with ۳۸۵ participants involved in the study. Research instruments included the Young Schema Questionnaire (۱۹۹۵), the Garnefski and Kraaij Emotion Regulation Questionnaire (۲۰۰۴), the Beck Depression Inventory (۱۹۸۲), the Beck Anxiety Inventory (۱۹۸۸), and the Klonsky and Glenn Self-Injury Scale (۲۰۰۹). The data were analyzed using structural equation modeling. The results indicated that early maladaptive schemas had a significant positive relationship with anxiety, depression, and self-injurious behaviors, with emotion regulation playing a mediating role in these relationships. These findings suggest that identifying and intervening in early maladaptive schemas and improving emotion regulation could be effective in reducing the psychological issues faced by individuals with long COVID
کلیدواژه ها:
نویسندگان
Ahmad Borjali
Professor of Clinical Psychology, Allameh Tabatabai University, Tehran, Iran
Saba ahookhosh
Master's in Clinical Psychology, Allameh Tabatabai University, Tehran, Iran
Abolghasem Isa Morad Roudbeneh
Associate Professor of Clinical Psychology, Allameh Tabatabai University, Tehran, Iran