background and Objectives: Student-life stress can lead to various negative consequences such as physical illness, mental disorders or exhaustion. The present study was conducted to evaluate the level of student life stress and its related factors among medical students of Hamadan University of Medical Sciences. Materials and Methods: This cross-sectional study applied multistage random sampling to select 500 university students at Hamadan University of Medical Sciences during 2015. The data collection tool used in this study was a self-report questionnaire containing two parts: a section on subjects' demographic details and another section for Student-Life Stress Inventory (SLSI). Data were analyzed in SPSS20-using descriptive and inferential statistics, such as independent t-test, Pearson's correlation test and one-way ANOVA. Results: This study revealed that %57 of the students had moderate levels of stress. The most important stressors included self-impose and pressure, and also the most important reactions to stressors included cognitive appraisal and emotional reactions, respectively. There was a significant association between exam stressors and branch, educational level, and mother's and father's education level (P > 0.05). conclusions: According to the high level of stress in students and the recognition of demographic factors, effective educational interventions can be conducted to reduce stress.
Objective: Low physical activity is the fourth risk factor of death worldwide. Approximately 27% risk of diabetes is reduced by 150 minutes of moderate physical activity per week. The present study was designed to determine the predictors of physical activity promotion among type 2 diabetic patients. Materials and Methods: In this cross sectional study 320 patients with type 2 diabetes were included. The data collection tool was a questionnaire, consisting of three main parts; demographic characteristics, International Physical Activity Questionnaire (IPAQ) and Theory of Planned Behavior (TPB) theoretical constructs. Statistical software package SPSS (SPSS Inc version 20) used for all statistical analyses. To determine physical activity and predictive factors a series of logistic regression and bivariate correlations and descriptive analysis were computed. Results: About 57.5% of patients had moderate levels of physical activity. Significant positive correlation between subjective norms and attitudes toward behavior ( P -value= .0001) was seen. Significant positive correlations between behavioral intention and attitude toward the behavior ( P -value= .0001) and subjective norms ( P value= .0001) was observed. Conclusion: The results of the present study showed TPB based physical activity and demographic variable have key role in diabetic patient physical activity levels. To promote physical activity these findings can be used to design effective interventions.
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