1. The Correlation between Resilience, Self-efficacy and Illness Perception in Patients with Type 2 Diabetes: A Cross-Sectional Study.
- Author
-
Mohammadi, Fateme, Tehranineshat, Banafsheh, Farjam, Mojtaba, Rahnavard, Soheila, and Bijani, Mostafa
- Subjects
SELF-efficacy ,TYPE 2 diabetes ,DATA analysis ,PEARSON correlation (Statistics) ,ANALYSIS of variance - Abstract
Background: The present study aims to investigate the correlation between resilience, self-efficacy, and illness perception in patients with type 2 diabetes mellitus in the south of Iran. Materials and methods: The present study is a cross-sectional work conducted on 405 patients with type 2 diabetes mellitus who were selected via convenience sampling from clinics in the south of Iran, from December 2019 to July 2020. Data were collected using a questionnaire consisting of four sections: a demographics survey, the Connor-Davidson Resilience Scale (CD-RISC), Lev's Self-efficacy Scale, and Broadbent's Brief Illness Perception Questionnaire (BIPQ). Data analysis was performed in SPSS 22 software using descriptive statistics, Pearson correlation, ANOVA, and multiple regression analysis at a p < 0.05 significance level. Results: The results of the study showed that there were significant positive correlations between the participants' resilience and self-efficacy (r = 0.78, p < 0.001), resilience and illness perception (r = 0.57, p < 0.001), and self-efficacy and illness perception (r = 0.76, p < 0.001). Conclusions: The findings of the present study show that there is a positive correlation between resilience and self-efficacy and illness perception in patients with type 2 diabetes mellitus. patients with diabetes who can successfully cope with the traumatic conditions caused by their illness and have confidence in their ability to perform self-care activities have a more positive view of the manageability of their condition. Therefore, healthcare policymakers and nurses can use interventions designed to enhance resilience and self-efficacy in order to improve diabetic patients' illness perception and management. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF