The role of the food pattern in predicting weight, lifestyle and quality of life of students

The dietary pattern in clinical practice has been considered in weight loss, lifestyle, and quality of life, which can lead to weight loss and affect lifestyle and quality of life. The aim of this study was to investigate the role of dietary pattern in predicting students' weight, lifestyle and quality of life.

The research method is descriptive-correlational and the statistical population is all students of Mohaghegh Ardabili University in the academic year of 2016-2017. The sample size is considered 30 students selected randomly from the statistical population. To collect data, the Quality of Life Questionnaire (IRQOL), Health Promotion Lifestyle Questionnaire, and Nutrition Table were used, and SPSS 22 software was used to analyze the data. Pearson correlation and regression correlation tests were also used to analyze the data.

The results showed that there is a significant correlation between dietary pattern and weight, lifestyle and quality of life (r=0.258, sig = 0.027, r = 0.057, sig = 0.000, and r=0.677, sig= 0.012 respectively).

The finding shows that the food pattern component can predict 60% of weight, but cannot be a good predictor of lifestyle and quality of life due to the insignificance of regression model.