Volume 10, Issue 2 (vol 10, Num 2 2016)                   2016, 10(2): 53-67 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Relationship between perceived social support and adherence of treatment in Diabetes mellitus type 2: mediating role of resillency and hope. Journal title 2016; 10 (2) :53-67
URL: http://rph.khu.ac.ir/article-1-2679-en.html
Abstract:   (10389 Views)

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.

     
Type of Study: Research | Subject: Special
Received: 2016/08/9 | Accepted: 2016/09/19 | Published: 2016/09/25

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 |

Designed & Developed by : Yektaweb