Showing 5 results for Motevalian
Z Rajabpoor, S.r Majdzadeh, A Feizzadeh Khorasani, A Motevalian, M Hoseini,
Volume 1, Issue 1 (3 2005)
Abstract
Background and Objective: Road traffic injuries are among the most important causes of death and disability in Iran, and the country has one of the highest prevalence of opioid drug use, especially among drivers. The effect of different situations related to opioid use needs great attention. The purpose of this study was to estimate the effect of driving in the withdrawal phase on the occurrence of traffic accidents leading to injury.
Materials and Methods: This is a Case-Crossover study on injured drivers of crashed motor vehicles in Kerman. Drivers having skipped one habitual drug dose within one hour of the driving session were considered as being in withdrawal. We compared the drivers' situation at the time of accident with their regular driving habits.
Results: Among 75 drivers who had history of regular use of opium, 15 were in withdrawal phase at the time of accident. The relative rate of occurrence of traffic injuries while driving in these circumstances was 2.67 (95% confidence interval: 1.52 - 4.68).
Conclusion: According to these findings we can conclude that habitual opioid users are at greater risk of traffic accidents while driving in withdrawal status this risk is more than two-fold relative to not being in withdrawal status.
K Khalaji, R Majdzadeh, Mr Eshraghian, A Motevalian, K Holakouie Naieni,
Volume 2, Issue 1 (23 2006)
Abstract
Background & Objectives: Considering the lack of adequate basic information on risk factors for road traffic injuries in Iran, a study was conducted to determine the association between potential risk factors and the incidence of injuries in motor vehicle drivers.
Methods: We performed a population-based case-control study on Qazvin-Loshan road. Risk factors related to injury incidence were compared between 175 cases and 175 controls. Cases were drivers recently injured in road accidents. Controls did not have any injury and were selected systematically while the study was being conducted. Injury was defined as trauma needing medical or surgical treatment. Information was obtained through police reports and interviews with cases and controls.
Data were analyzed by two methods bivariate analysis (crude) and by a multivariate unconditional logistic regression model.
Results: In bivariate analysis, risk factors for road traffic injuries risk were failure to wear seat belts or protective helmets, ejection from vehicle, severity of collision, number of crashes, motorcycle vs. other motor vehicle accidents, fire, rain and fog, and collision with fixed objects. In the logistic model, factors such as seat belt or helmet use with OR= 0.619 (0.376-1.018), ejection from the vehicle with OR= 2.952 (1.235-7.056), severe collision with OR= 5.413 (2.865-10.224), motorcycle vs. other motor vehicle accident with OR= 3.164 (1.05-9.537) and raining and fog vs. good weather with OR= 4.562 (1.663-12.514) were found to influence injury incidence. There was an interaction between severity of collision and weather status.
Conclusions: Better speed control, use of seat belts or helmets, not using motorcycles for road travel and equipping vehicles with fire extinguishing capsules are recommended to reduce road accident injuries.
A Motevalian, R Sahebi, A Rahimi Movaghar , M Yunesian,
Volume 11, Issue 2 (Vol 11, No 2 2015)
Abstract
Background & Objectives: The aim of the study was to determine age, period, and cohort effects on trend of alcohol and drug use in the students of Tehran University of Medical Sciences from 2006 to 2009.
Methods: Between 2006 and 2009, the students of Tehran University of Medical Sciences were surveyed annually using a structured self-administered and anonymous questionnaire. Intrinsic estimator, which is a new method for resolving linear dependency between age, period, and cohort in linear regression models, was used for data analysis.
Results: In the present study, in the descriptive method, the prevalence of alcohol consumption increased in males and females with an increase in age. The prevalence of illicit drug use was higher in 2007 in comparison with other periods for males and females. In the analytical method (intrinsic estimator), there were no age, period and cohort effects for alcohol and drug use for females. For males, the age effect exhibited an increasing-decreasing-increasing trend and period and cohort effects showed a decreasing trend for alcohol use. As for drug use, the age effect exhibited gradual increases. The period effect displayed an increasing-decreasing trend and the cohort effect exhibited an increasing-decreasing-increasing trend.
Conclusion: The IE method showed no age, period and cohort effects for alcohol and drug use in females. The prevalence of drug and alcohol use increased with an increase in age in males. The high prevalence of drug use could be due to easy accessibility and low price of drugs.
R Sahebi, Sa Motevalian, L Sahebi, H Sharifi,
Volume 13, Issue 2 (Vol.13, No.2, Summer 2017)
Abstract
Background and Objectives: The aim of this study was to compare the intrinsic estimator method and the age, period and cohort accounting model used for identifying age, period, and cohort trends in incidence, prevalence, and mortality rates.
Methods: The data of 2 studies " Age, Period, and Cohort Effects on Alcohol and Drug use Among Students of Tehran University of Medical Sciences from 2006 to 2009" and "The Role of Age, Period, and Cohort Effects on Smoking among the Students of Tehran University of Medical Science "were used. First the age, period and cohort accounting model and then The IE method are explained, their advantages and disadvantages are discussed, and their results are compared.
Results: Both methods showed an increasing, decreasing, and increasing trend for age, cohort, and cohort effect for the prevalence of smoking. IE could predict a preventing effect for an early age factor for smoking. In the descriptive model, a decreasing trend was seen from old cohorts to younger cohorts in nearly all age groups. However, the IE method did not show any cohort effects for alcohol consumption in female studnets.
Conclusion: Currently, the IE method is the best method for solving linear dependence between three variables of age, birth cohort, and period in this type of studies. However, researchers should use it with caution because it has many pitfalls.
Sa Motevalian, H Gharibnavaz, M Asadi Lari , Sh Seraji,
Volume 14, Issue 3 (Vol.14, No.3, 2018)
Abstract
Background and Objectives: Accidents are one of the global concerns in public health. About 1.24 million people die in traffic accidents annually. Road accidents are the leading cause of years of life lost in Iran and motorcyclists are the riskiest group of road users. Drug abuse is one of the main causes of road traffic accidents and motorcycling is more popular in drug abusers. So, this study was conducted to compare the riding behavior of normal and drug abuser motorcyclists.
Methods: This historical cohort was performed in 411 motorcyclists in 3 study groups: 100 methadone consumer motorcyclists, 100 methamphetamine consumer motorcyclists, and 211 normal motorcyclists. The participants in three groups were matched for age and area of residence. A motorcycle riding behavior questionnaire was used to collect the data. Then, the collected data were analyzed with the SPSS (V-20) software using descriptive and analytic statistics. Multivariate linear regression was applied for statistical analysis.
Results: There was a significant difference in the riding behavior score between normal motorcyclists and methamphetamine user and methadone user motorcyclists (P<0.0001), but the difference between drug user motorcyclists was not significant (P=0.292). The most frequent violation in all three groups was speeding.
Conclusion: the results showed speeding was the most frequent violation in all three groups followed by traffic errors. It was found that drug abuse (methamphetamine and methadone) could have an impact on motorcyclists’ riding behaviors as it could increase the riding behavior score in drug user motorcyclists compared to normal motorcyclists.
