Modeling Socio-economic Factors Affecting the Severity of Drivers’ Injuries in Traffic Accidents: Using the Logistic Regression

Journal Title: Journal of Health Research in Community - Year 2022, Vol 8, Issue 2

Abstract

Introduction and purpose: The severity of accidents and mortality rate varies between countries with different socio-economic statuses. This study aimed to model the socio-economic factors affecting the severity of injuries in traffic accidents of drivers referred to Imam Khomeini Hospital in Urmia using logistic regression. Methods: This cross-sectional-analytical study included 250 drivers who had a traffic accident in 2020 and were referred to Imam Khomeini Medical Center in Urmia, Iran. For evaluating the relationship between socio-economic factors and the severity of injuries, the Injury Severity Score (ISS) scale was used to determine the severity of the injury, and logistic regression was used to model and study the relationship. The collected data were analyzed in SPSS software (version 16), and a p-value less than 0.05 was considered statistically significant. Results: The results showed a significant relationship between the high severity of the injury with, marital status (OR=0.43, P=0.029), level of education (OR=4.45, P=0.005), monthly household income (OR=5.40, P=0.037), car monetary value (OR=3.22, P=0.011), and the share of health care costs (OR=0.31, P=0.004). In contrast, there was no significant relationship between job and the high injury severity. Conclusion: The results showed a significant relationship between most of the socio-economic factors and the severity of the injury. It seems that paying attention to welfare and public health strategies, material and spiritual support for the recovery of patients, increasing the purchasing power of families, improving cultural views, specialized training, and upgrading the automotive industry may reduce accidents and the severity of injuries.  

Authors and Affiliations

Majid Babaei, Shila Hasanzadeh, Habibollah Pirnejad, Rana Hoseini, Zahra Niazkhani, Iraj Mohebbi

Keywords

Related Articles

تأثیر مداخله آموزشی مبتنی بر نظریه رفتار برنامه ریزی شده در ارتقای رفتارهای تغذیه ای زنان باردار

مقدمه و هدف: تغذیه مناسب طی دوران بارداری برای حفظ سلامت مادر و جنین ضروری است. در این ارتباط، پژوهش حاضر با هدف تعیین تأثیر مداخله آموزشی مبتنی بر نظریه رفتار برنامه‌ریزی‌شده (TPB: Planned Behavior Theory) بر ارتقای رفت...

Health Risk of Cadmium and Lead in the Rice Cultivated in Meydavood, Khoozestan Province, Iran

Introduction and purpose: High accumulation of heavy metals in food chain at critical doze has detrimental effects on the living organisms. Regarding the fact that rice is highly consumed as a main dish in Iran, this stu...

بررسی میزان شیوع و علل غیبت از کار پزشکی در میان کارکنان شبکه بهداشت شهرستان جویبار در سال 1394

مقدمه و هدف: حضورنداشتن در محل کار به هر علتی، غیبت از کار تلقی می شود. غیبت های پزشکی می تواند به طور جدی تأثیر منفی بر عملکرد سازمان داشته باشد. مطالعه حاضر، به منظور بررسی شیوع و علل غیبت پزشکی در بین کارکنان شبکه بهد...

Evaluation of the Relationship between the Concentration of Suspended Particles and the Levels of C-Reactive Protein in Blood Plasma (Case study of Zahedan)

Introduction and purpose: Epidemiological research pointed to an association between air pollution and increased mortality from cardiovascular complications. There is a relationship between the incidence of cardiovascula...

تاثیر مداخله آموزشی براساس تئوری انگیزش محافظت بر ارتقاء رفتارهای پیشگیری از سوانح و حوادث خانگی در مادران کودکان زیر 5 سال

مقدمه و هدف: اولین علت مرگ و میر کودکان زیر پنج سال به‎ویژه درکشورهای با درآمد پایین و متوسط، سوانح و حوادث می‎باشد.هدف از این مطالعه تعیین تأثیر مداخله آموزشی بر ارتقا رفتارهای پیشگیری از سوانح و حوادث خانگی در مادران د...

Download PDF file
  • EP ID EP716957
  • DOI -
  • Views 60
  • Downloads 0

How To Cite

Majid Babaei, Shila Hasanzadeh, Habibollah Pirnejad, Rana Hoseini, Zahra Niazkhani, Iraj Mohebbi (2022). Modeling Socio-economic Factors Affecting the Severity of Drivers’ Injuries in Traffic Accidents: Using the Logistic Regression. Journal of Health Research in Community, 8(2), -. https://europub.co.uk/articles/-A-716957