Investigation of Depression and Post-Traumatic Growth in Renal Transplant Recipients via Self-Assessment


ŞİMŞEK YABAN Z., Bulbuloglu S.

Journal of Personalized Medicine, vol.14, no.9, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 14 Issue: 9
  • Publication Date: 2024
  • Doi Number: 10.3390/jpm14090999
  • Journal Name: Journal of Personalized Medicine
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Food Science & Technology Abstracts, Directory of Open Access Journals
  • Keywords: depression, post-traumatic growth, recipients, renal transplant, renal transplant recipients
  • Kocaeli University Affiliated: Yes

Abstract

Objective: In this study, we aimed to determine post-traumatic growth and depression levels in renal transplant recipients and the relationship between these two variables. Design and Methods: The study was conducted with a descriptive, cross-sectional, and correlational design. The data for the study were collected at the organ transplant unit of a research and training hospital located in the west of Turkey. The sample of the study included 122 kidney transplant recipients (n = 122). A Sociodemographic Information Form, the Post-Traumatic Growth (PTG) Inventory, and the Beck Depression Inventory (BDI) were employed to collect data. In the analyses of the data, descriptive statistics, ANOVA, an independent-samples t-test, post hoc tests, and Pearson correlation tests were used. Results: As the ages of the renal transplant recipients increased, their depression scores decreased, while their PTG scores increased. Higher depression levels were identified in the female participants compared to the male participants and in those with a low income compared to other income groups. The lowest PTG levels were found in the recipients who received their kidney transplants from third-degree relatives. Age, gender, economic status, and time of transplant were predictors of depression. The identity of the donor was the most significant predictor of PTG (62% explanation rate). A strong and inverse correlation was found between depression and PTG (p < 0.05). Conclusions: Post-traumatic growth was found to decrease depression. However, while poor economic status led to depression, high economic status did not lead to a significant change in PTG. As education levels increased, PTG decreased, but education status did not have any significant effect on depression. On the other hand, there was a negative correlation between PTG and depression. The results obtained in this study are valuable and important in terms of understanding depression better and determining PTG as a significant factor that could alleviate it.