Prediction of the quality of life in the adolescents with diabetes based on self-efficacy

How to Cite:Kerman Saravi F, Navidian A, Ebrahimi Tabas E, Sargazi Shad T, Prediction of the quality of life in the adolescents with diabetes based on self-efficacy.Med Surg Nurs J.2017;5(3):e67998.

Abstract

Background: The improvement of the diabetic patients’ quality of life and detection of the associated influential factors are some of the most important goals of the health care system. Self-efficacy is one of the variables that can affect the quality of life; however, there is no sufficient evidence about the componential effect of this variable on the quality of life of the patients, especially adolescents, with diabetes. Regarding this, the present study aimed to predict the quality of life in the adolescents with diabetes mellitus based on their self-efficacy.

Methods: This correlational study was conducted on the diabetic adolescents, who referred to the diabetes clinic of Zahedan, Iran, in 2016. In total, 100 adolescents were selected using the census method. The data were collected using the Diabetes Quality of Life for Youth questionnaire and self-efficacy scale for diabetes management through self-report. The data analysis was performed in the SPSS version 18 using the descriptive statistics, Pearson’s correlation coefficient, and multiple regression.

Results: In this study, the mean scores of the quality of life and self-efficacy were 54.61±5.15 and 45.84±10.53, respectively. According to the results, there was a direct relationship between the total self-efficacy score and the subscale of satisfaction with quality of life (P<0.001, r=0.49). Nevertheless, the total self-efficacy score showed an indirect correlation with other subscales, including the effect of treatment on the quality of life (P<0.001, r=-0.35), disease symptoms (P=0.04, r=-0.20), and the effect of diabetes on patient’s activities (P<0.001, r=-0.33). The results of the regression analysis indicated that all the variables of self-efficacy were able to predict the changes in the quality of life. Moreover, the results of the multiple regression revealed that the medical treatment had a significant impact on the patients’ quality of life (P<0.001)

Conclusion: Given the fact that the medical care component could predict the quality of life in the adolescents with diabetes, it is recommended to pay special attention to various aspects of this component in the health care programs held for this population.

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