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KMID : 0806120230530030309
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2023 Volume.53 No. 3 p.309 ~ p.323
A Structural Equation Model for Posttraumatic Growth among Cured Patients with COVID-19
An Soo-Young

Choi Hee-Jung
Abstract
Purpose: This study aimed to develop and test a model for posttraumatic growth among cured patients with COVID-19. This model was based on Calhoun and Tedeschi¡¯s Posttraumatic Growth model and a literature review.

Methods: The participants comprised 223 patients cured from COVID-19 who were ¡Ã 19 years of age. The data were collected through an online questionnaire from March 21 to 24, 2022. The assessment tools included the Impact of Event Scale: Revised Korean version, the Connor-Davidson Resilience Scale, the Distress Disclosure Index, the Multidimensional Scale of Perceived Social Support, the Korean version of the Event-related Rumination Inventory, and the Korean version of the Post-traumatic Growth Inventory. Data were analyzed using the IBM SPSS version 24.0 and IBM AMOS 26.0.

Results: The modified model showed appropriate goodness of fit (¥ö2 = 369.90, ¥ö2/degree of freedom = 2.09, SRMR = .09, RMESA = .07, CFI = .94, TLI = .93). The post-traumatic growth of cured patients with COVID-19 was explained through distress perception, self-disclosure, and deliberate rumination, with the explanatory power being 70.0%.

Conclusion: This study suggests preparing a disaster psychology program involving experts who can activate deliberate rumination is necessary. Further, this study may serve as basic data for developing a program to enhance the post-traumatic growth of patients cured from COVID-19.
KEYWORD
Cognitive Rumination, COVID-19, Psychological Adaptation, Self Disclosure
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