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Volume 10, Issue 2 (6-2016)
Abstract
The purpose of this study was to investigate the effect of perceived social support on adherence through resilience and hope in patients with type 2 diabetes. 234 patients with type 2 diabetes among files available with diagnosis type 2 diabetes in health center Lamerd were selected by simple random sampling method. Participants were asked to complete Multidimensional Scale of Perceived Social Support, Hope Scale, Resilience Scale and General Adherence Scale. Structural equation modeling through AMOS-16 software packages were used for data analysis. Analysis of structural equation modeling indicated that default model don’t fit for data and require to improvement. As a result, by eliminating non-significant routes final model fit to the data was confirmed. Other analyses revealed that the support of friends and other important people support were able to predict resiliency. As well the support of friends and other important people support indirectly predicted resilience through adherence. Hope also hadn’t a role mediating variable in the model. The findings of this study can be concluded that the resilience can be reinforced as the mediator variable effect of perceived social support (eg, support of friends and other important people support) on adherence to treatment in patients with type 2 diabetes.
Dr Azra Zebardast, Dr Sajjad Rezaei, Mrs Fatemeh Rezvandel-Ramzi,
Volume 15, Issue 4 (2-2022)
Abstract
| One of the main challenges in treating chronic disease is patients' adherence to treatment instructions. The aim of this study was to determine the mediating role of resilience in the relationship between attachment styles and treatment adherence in patients with chronic disease. The research design was descriptive-correlational. The statistical population included all patients with diabetes and hypertension in Guilan province in 2020. A sample of 399 people were selected by purposive sampling method. Data were collected through the Collins and Reed's Adult Attachment Scale (RAAS), the Connor-Davidson Resilience Scale(CD-RISC), and the Modanloo Adherence to Treatment Questionnaire. Data processing was performed using path analysis technique in AMOS-24 software setting and bootstrap analysis in Macro program of Preacher and Hayes (2008). There was a significant direct relationship between adherence to treatment with resilience and secure and avoidant attachment style(p<0.01). However, there was no relationship between adherence to treatment and ambivalent attachment(p>0.05). The fit of the mediator model was improved after deleting the two non-significant paths and it was obtained a good fit by releasing the covariance error between the ambivalent attachment and the secure and avoidant attachment (CFI=1.00, RMSEA=0.086). Bootstrap analysis revealed that resilience mediates the associations between endogenous and exogenous variables. The coefficient of determination in the final model demonstrated that all exogenous and mediating variables predict 21% of the changes in the adherence to treatment. Resilience and attachment pattern are important in patients' adherence to the treatment procedure and it is suggested that skills and strategies for coping with the disease stress and increasing the capacity to adaptive coping to life-threatening conditions be included in the treatment program of patients with chronic diseases. |
