Predicting the Meaning of Life Based on Moral Development, Cognitive Styles, and Hopefulness in Patients With Type 2 Diabetes

Abstract

Background: Diabetes is the fifth leading cause of death in most countries of the world and causes disability, disability, high medical costs, and increased mortality. This study aimed to predict the meaning of life based on moral development, cognitive styles, and hopefulness in patients with type 2 diabetes (T2D). Methods: The statistical population of this descriptive-correlational study consisted of all patients of the Karaj Diabetes Association in 2019 (Iran), among whom 200 cases were selected by the convenience sampling method and Cochran formula. The Meaning of Life Questionnaire (2006), Kohlberg’s Moral development Test (1977), Kolb Cognitive Styles Scale (1981), and Snyder Hope scale (1996) were used for data collection. Pearson correlation test and multiple linear regression were applied to analyze the data by SPSS23, and the significance level was 0.05. Results: The results revealed that moral development (β=0.15, P=0.03), cognitive styles (β=0.38, P<0.001), and hopefulness (β=0.22, P<0.001) had a positive effect on the meaning of life. Conclusion: It can be concluded that moral development, cognitive styles, and hopefulness can predict the meaning of life among people with T2D, highlighting the importance of the role of the meaning of life in people with T2D.