weight

This study aimed to compare the effectiveness of compassion-focused intervention and rational-emotional behavior therapy among women on weight self-efficacy and self-criticism on an Overweight Diet. This study was a quasi-experimental design using a pre-test and post-test with a control group. The statistical population consisted of all women on an overweight diet that was referred to therapy clinics in Tehran from December 2019 to April 2020. Through a convenience sampling method, 45 overweight females were selected based on inclusion criteria and randomly assigned to a control and two experimental groups. Both experimental groups1(n=15), and 2 (n=15) were treated with compassion-focused therapy and rational-emotional behavior therapy for ten and eight weekly 90-minute sessions, but the control group (n=15) did not receive any treatment. At the start of the study, all participants completed using the Weight Efficacy Lifestyle Questionnaire (WEL) and the Levels of Self-criticism (LOSC) Scale. Multivariate analysis of covariance (MANCOVA) and One-Way Analysis of Covariance (ANCOVA) were applied by the SPSS-25 program (P < 0.05). Furthermore, there was a significant difference between post-test scores of compassion-focused intervention (CFT) and rational-emotional behavioral therapy (REBT) groups in terms of self-efficacy and self-criticism. The people in the REBT intervention group had better self-efficacy and self-criticism scores (p = 0.001). The findings showed that compassion-focused intervention (CFT) and rational-emotional behavioral therapy interventions could help with overweightness. Therefore, both intervention programs are recommended for improving weight self-efficacy and decreasing self-criticism among women on an overweight diet.

Objective: The food pattern in clinical practice has been considered in weight loss, lifestyle, and quality of life, which can lead in weight loss and affect lifestyle and quality of life. The aim of this study was to investigate the role of food pattern in predicting students' weight, lifestyle and quality of life.Methods: The research method was descriptive-correlational and the statistical population was all students of Mohaghegh Ardabili University in the academic year of 2016-2017. The sample size was considered 280 students selected randomly from the statistical population. To collect data, the Quality of Life Questionnaire World Health Organization's 1996 (IRQOL), Health Promotion Lifestyle Questionnaire Walker, Kerr, Pender and Sachrist (1990), 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.Results: The results showed that there was a significant correlation between food 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).Conclusion: The finding showed that the component of food pattern can predict 60% of weight, but cannot be a good predictor of lifestyle and quality of life due to the insignificance of regression model.