Background: Its contact the main reason for the use of mobile phones is especially students living in dormitories. As well as students to communicate in cyber space than in real space of communication are interested, this can threaten their mental health. Objectives: The current study aimed at exploring the amount of mobile phone overuse and determining the association between mobile phone overuse and depression among medical college students in Hamadan, West of Iran. Methods: The current cross sectional study was conducted through the stratified sampling method on 300 students residing in dormitories of Hamadan University of Medical Sciences in 2016. The subjects completed a self-administered questionnaire including demographic characteristics, the cellphone overuse scale (COS), and the Beck depression inventory. Data were analyzed with SPSS version 16 using the linear regression analysis, independent t test, and one-way ANOVA. Results:The results showed that 45% of the students use their mobile phone for 3 to 6 hours per day; 32% had excessive use of cellphone. Similarly, 22% of participants had minor depression and 20.7% of the students had moderate depression. Also, the results showed that cellphone overuse significantly promoted depression (ß = 0.351, P < 0.001). Conclusions: According to the obtained results, excessive users of cellphones were more depressed. It seems that living in student dormitories provides better conditions for mental disorders. Therefore, it seems necessary to consider the psychological problems of dormitory students.

Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries.

Type 2 diabetes mellitus is a disease with long-term cardiovascular, renal, eye and neural complications. It is prevalent all around the world including Iran its prevalence is increasing. The aim of this study is to determine factors related to self-care behavior based on health belief model among sample of Iranian type 2 diabetes mellitus patients. This cross-sectional study was conducted among 301 type 2 diabetics patient in Gachsaran, Iran. Data collection was based on an interview and were analyzed by SPSS version 20 using ANOVA, t-tests, Pearson correlation, and linear regression statistical tests at 95% significant level. Linear regression analyses showed that the health belief model variables accounted for 29% of the variation in self-care behavior; and perceived severity and perceived self-efficacy, more influential predictor on self-care behavior.

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