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Determining the Days of Disability and the Severity of Injuries Caused by Driving Accidents in Patients Admitted to Imam Khomeini Hospital, Urmia in 2016
O Garkaz, Hr Mehryar, Hr Khalkhali, Sh Salari Lak ,
Volume 16, Issue 2 (Vol 16, No.2 2020)
Abstract
Background and Objectives: Traffic accidents are a leading cause of disability and mortality worldwide. This study was conducted to determine the days of disability and severity of injuries caused by traffic accidents in patients admitted to Imam Khomeini Hospital, Urmia in 2016.
 
Methods: This cross-sectional study was performed on 1705 traffic accident victims admitted to Imam Khomeini Hospital, Urmia in 2016. Data were collected using a checklist containing demographic information, accident, severity of injury, and days of disability along with a telephone follow-up after 3 months upon return to work or school. The ISS (Injury Severity Score) was categorized from 1 to 6 according to the experts’ opinions.
 
Results: The results showed that 1231 subjects (72.1%) were male and the mean and SD age of the participants was 33.63 (30.00) years. Moreover, 77 (0.04%) of the subjects died and 593 (42.5%) resumed a normal life after two months. The mean time to resuming a normal life was 86.78 (24.104) days. Most of the subjects had mild limb injury, while the majority of the deaths had life-threatening injuries.
 
Conclusion: In this study, most of the victims were male, married, young, and concerned about financial compensation. The majority of the deceased had life-threatening injuries requiring vital measures to return to work quickly.
 
Investigating the Correlation between the Excessive use of Mobile Phones and Depression among Students at Shahroud University of Medical Sciences
Sadaf Yahyaei, Omid Garkaz, Sepideh Mahdavi, Somayeh Ramezani, Mahbobeh Poorheidari,
Volume 19, Issue 3 (Vol.19, No.3, Autumn 2023)
Abstract
Background and Objectives: The mobile phone has become an indispensable tool for communication and interactions. This study aimed to investigate the relationship between excessive mobile phone use, depression, and social loneliness among students at Shahroud University of Medical Sciences.
Methods: This descriptive-analytical study, conducted in 2019, employed stratified random sampling to survey 313 students from Shahroud University of Medical Sciences. Data collection involved demographic questions, a harmful mobile phone use scale, and depression scale (Kavaja and Bryden). Collected data were entered into SPSS 18 and analyzed using descriptive and analytical statistics.
Results: The study included 313 participants with an average age of 22.16 ± 3.41 years. Pearson's correlation coefficient revealed a positive correlation between depression scores and various variables, including education level, interest in the field, native status, place of residence, history of taking antidepressants, employment status, financial problems, family life status, father's age, and excessive use of mobile phones. The results of linear regression analysis, as indicated by the coefficient of determination (0.603) demonstrated a high intensity of correlation between factors influencing depression and the actual depression scores.
Conclusion: According to the results of the study, there is a significant relationship between excessive use of mobile phones and depression and social loneliness in students, which requires proper planning for intervention.

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