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Application of the path analysis model to evaluate the role of distress, mental health literacy and burnout in predicting self-care behaviors among patients with type 2 diabetes.
- Source :
-
Diabetology & Metabolic Syndrome . 6/23/2024, Vol. 16 Issue 1, p1-10. 10p. - Publication Year :
- 2024
-
Abstract
- Introduction: Mental complications of diabetes are one of the main obstacles to the implementation of self -care behaviors that have been less studied. Therefore, this study was conducted to survey the effective factors in predicting burnout and self-care behaviors among patients with type 2 diabetes. Methods: In this Path analysis, 1280 patients with type 2 diabetes were selected from Mashhad (Iran) in 2023 to 2024. Four scales, the mental health literacy (MHL) scale, diabetes burnout scale, diabetes distress scale, and self-care behavior scale were used for data gathering. AMOS software checked the direct and indirect paths between the variables. Results: In the path analysis, variables of MHL and diabetes distress predicted 25% variance of diabetes burnout (R2 = 0.25), and diabetes distress (total effect = 0.491) had the greatest impact on predicting diabetes burnout. Variables of MHL, diabetes distress, and diabetes burnout predicted 12% variance of Self-care behaviors (R2 = 0.12) and MHL (total effect = -0.256), age of onset of diabetes (total effect = 0.199), and diabetes burnout (total effect = − 0.167) had the greatest impact on prediction of self-care behaviors. Conclusion: MHL could reduce diabetes distress and burnout and eventually promote self-care behaviors among patients with type 2 diabetes. Therefore, screening and identifying psychological problems (such as distress and burnout) and designing interventions to increase MHL can ultimately increase the health of patients with diabetes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17585996
- Volume :
- 16
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Diabetology & Metabolic Syndrome
- Publication Type :
- Academic Journal
- Accession number :
- 178027885
- Full Text :
- https://doi.org/10.1186/s13098-024-01375-z