METHODS AND STUDY DESIGN: A randomized controlled intervention study was carried out to determine the impact of self-efficacy education based on the Health Belief Model (HBM) in 240 patients with type 2 diabetes at the Golestan Hospital, Ahvaz, Iran between October 2014 and August 2015. The education duration was three months followed by a 24-week follow-up visit to determine the progress of the subjects. In this study, reliable and validated diabetes educational booklet and questionnaires based on knowledge, health beliefs and quality of life were used. The participants were randomly allocated to either the intervention group (n=120) or to the conventional dietary counseling group as controls (n=120), and assessed at the baseline, week 12 and week 36. The study was divided into primary outcome measurements consisting of glycated hemoglobin A1c (HbA1c), fasting blood glucose, lipid profile, and anthropometric levels. Secondary outcome measures were related to nutrition knowledge, health beliefs and quality of life.
RESULTS: The results showed that subjects in the intervention group had significantly better metabolic and glycemic profiles compared with those in the control group. It also showed that knowledge, health belief and quality of life significantly increased in the intervention group.
CONCLUSIONS: Findings indicate that through tailored self-efficacy education, the quality of life and metabolic profile of diabetes patients can be improved.
Practical applications: In general, juice concentrate is a better form of food for transportation, preservation, and ingredient. Models are necessary to predict the effects of processing factors such as concentration and temperature on the rheological behavior of juice concentrates. The modeling approach allows prediction of behaviors and determination of processing parameters. The master curve model introduced in this study simplifies and generalized rheological behavior of juice concentrates over a wide range of concentration when temperature factor is insignificant. The proposed new mathematical model from the combination of the Arrhenius and logistic sigmoidal growth models has improved and extended description of rheological properties of fruit juice concentrates. It also solved problems of negative values of consistency coefficient and flow behavior index prediction using existing model, the Arrhenius equation. These rheological data modeling provide good information for the juice processing and equipment manufacturing needs.