The PERSIAN Cohort: Prevalence of Psychiatric Disorders Among Employees.

BACKGROUND: Considering the impact of psychiatric disorders on the productivity of individuals and society's economy, we aimed to determine the prevalence of psychiatric disorders among the employees of Tabriz University of Medical Sciences. METHODS: This cross-sectional study was conducted on 1282 employees of Tabriz University of Medical Sciences in 2019. The required data were collected by trained psychologists using Composite International Diagnostic Interview (CIDI). In this process, psychiatric disorders were considered dependent variables, and demographic variables as independent variables. The relationship between independent and dependent variables was assessed using the chi-square test and Binary logistic regression in Stata version 17. RESULTS: The prevalence of generalized anxiety disorder (GAD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD) among employees was 14.12%, 12.48%, and 3.9%, respectively. The prevalence of GAD in women was significantly higher than men (17.06% vs. 10.02%, P<0.001). The prevalence of GAD was 42.86%, 15.97%, 13.49%, and 16.67 in widowed, single, married, and divorced employees, respectively (P=0.016). The prevalence of MDD in women was significantly higher than men (16.59% vs. 7.64%, P<0.001). The prevalence of MDD was 16.3%, 11.2%, 9.6%, and 8.56% in employees with Bachelor's, Associate, Master's degree, and High school diploma, respectively (P=0.009). CONCLUSION: Considering the relatively high prevalence of GAD and MDD among the employees of Tabriz University of Medical Sciences, strengthening counseling centers in the university and encouraging employees to participate in these centers, and examining them in terms of mental health help identify people at risk of mental disorders in time and provide counseling services to these people.

The association between ambient air pollution and migraine: a systematic review.

Some studies have shown the effect of air pollution on migraine. However, it needs to be confirmed in larger-scale studies, as scientific evidence is scarce regarding the association between air pollution and migraine. Therefore, this systematic review aims to determine whether there are associations between outdoor air pollution and migraine. A literature search was performed in Scopus, Medline (via PubMed), EMBASE, and Web of Science. A manual search for resources and related references was also conducted to complete the search. All observational studies investigating the association between ambient air pollution and migraine, with inclusion criteria, were entered into the review. Fourteen out of 1417 identified articles met the inclusion criteria and entered the study. Among the gaseous air pollutants, there was a correlation between exposure to nitrogen dioxide (NO2) (78.3% of detrimental relationships) and carbon monoxide (CO) (68.0% of detrimental relationships) and migraine, but no apparent correlation has been found for sulfur dioxide (SO2) (21.2% of detrimental relationships) and ozone (O3) (55.2% of detrimental relationships). In the case of particulate air pollutants, particulate matter with a diameter of 10 µm or less (PM10) (76.0% of detrimental relationships) and particulate matter with a diameter of 2.5 µm or less (PM2.5) (61.3% of detrimental relationships) had relationships with migraine. In conclusion, exposure to NO2, CO, PM10, and PM2.5 is associated with migraine headaches, while no conclusive evidence was found to confirm the correlation between O3 and SO2 with migraine. Further studies with precise methodology are recommended in different cities around the world for all pollutants with an emphasis on O3 and SO2.

Evaluation of cost-effectiveness of single-credit traffic safety course based on Kirkpatrick model: a case study of Iran.

BACKGROUND: Training plays a role in reducing traffic accidents, and evaluating the effectiveness of training programs in managers' decision-making for training continuation is important. Thus, the present study aimed to evaluate the cost-effectiveness of a single-credit traffic safety course based on the four levels of the Kirkpatrick model in all Iranian universities. METHODS: This interventional study aimed to evaluate the cost-effectiveness of a single-credit traffic safety course based on the Kirkpatrick model from 2016 to 2020 in Iran. The data were collected in three stages: (1) calculating the costs of offering traffic safety courses, (2) determining the effectiveness of providing such courses based on the levels of the Kirkpatrick model, and (3) evaluating the cost-effectiveness of administering traffic safety courses. Data were collected through researcher-made and standardized questionnaires. The research population included traffic safety course instructors and university students who could take this course. Finally, the data were analyzed with SPSS v. 23 and also calculations related to ICER, which shows the cost effectiveness of providing single credit course. RESULTS: Scores of the students' reaction level to the traffic safety course was 41.8% before the course; this score was estimated at 67% after the course. At the level of learning, students' knowledge was 43.6% before the training course, which reached 73% after the course. At the level of behavior, the state of students' desirable traffic behaviors was 54% before the course, which reached 66.1% after the course. The educational effectiveness of the course presentation at the level of results was 58.2% before and 74.8% after the course. While assuming that the weights of all model levels were constant, the cost of a 1% increase in the overall educational effectiveness by using the Kirkpatrick model, compared to not providing the course (not administering the intervention) was 486.46 USD. CONCLUSION: The results showcased the effectiveness of the traffic safety course in all four levels of The Kirkpatrick model. Therefore, policy-makers and officials in charge of delivering this program should strengthen it and resolve its deficiencies to realize all its educational goals at the highest level.

Pedestrians' unsafe road-crossing behaviors in Iran: An observational-based study in West Azerbaijan.

OBJECTIVE: Pedestrians are one of the most vulnerable users in road traffic injuries (RTIs). The rate of pedestrians' fatality is high in Iran. It is worthwhile to investigate how pedestrians behave. This observational study aimed to investigate pedestrians' unsafe behaviors while crossing. METHODS: This cross-sectional study examined the behavior of 1095 pedestrians (69.7% men) using videotaping when they crossed at two intersections and three non-intersections on a weekend and two working days in the morning, at noon, and in the evening. The information obtained was classified into 5 domains including adherence to traffic rule, violation, environmental barriers, visibility, and distraction. Data were analyzed using Stata version 17. RESULTS: About 60% of the pedestrians ignored the crosswalk and crossed the street wherever they wanted. More than 30% ignored the vehicles passing and crossed the street inattentively. About 60% of the pedestrians committed violations. More than half of pedestrians crossed unsafe crossings diagonally or in a hurry. More than 35% wore dark clothing and had low visibility, and nearly 30% were distracted. Adolescent pedestrians did not adhere traffic rules about 6 times more than the young adult pedestrians. Pedestrians who did not adhere to traffic rules in the morning were significantly more than in the evening. Men committed a violation 1.47 times more than women. The results showed that the pedestrians committed a violation in the morning significantly more than in the evening. CONCLUSION: The occurrence of pedestrians' unsafe behaviors in Maku was high. Unsafe behaviors were high among men and young adult pedestrians. Therefore, it's essential to implement educational interventions via different media as well as environmental interventions by different organizations to improve safe behavior among pedestrians.

Parents' knowledge and socio-demographic determinants toward child's restraint system use.

BACKGROUND: Lack of protection or improper protection, is one of the most important reasons of child passenger's death and injury in traffic crashes. Based on what we see on the roads, Iranian children are unrestrained inside the car. The aim of this study was to investigate children restrained system (CRS) use rate, its socio-demographic determinants and parents' knowledge toward CRS use among Iranian parents. METHODS: Using multi-stage cluster sampling and direct in filed method of observation, the behavior of 700 children in cars was observed in the current cross-sectional study. Socio-demographic determinants and parents' knowledge, toward using the CRS were evaluated using questionnaires. The study was performed from July to August 2019 in Tabriz city, northwestern Iran. RESULTS: The rate of child safety seat (CSS) use was 15.1% CI 95%:(12.5%,18.0%), and the rate of booster use was 0.6%; CI 95%:(4.3%,8.0%). The majority of parents [e.g. 64.3%; CI 95%: (60.7%,67.9%)], had low knowledge about the use of CRS. The most important reasons for not using CRS was lack of laws and policies [e.g. 59.7%; CI 95%:(12.5%,18.0%)], lack of knowledge [e.g.59.6%; CI 95%:(57.9%, 63.3%)] and the high cost of CRS [e.g. 57.6%; CI 95%:(53.81%,61.2%)]. The most important predictors of not using CRS were the child's age, parental knowledge, and the socioeconomic status of the household (p < 0.05). CONCLUSIONS: Most children did not have CRS. The parents with higher education and those with higher socioeconomic status had higher rate of CRS use. Based on the low rate of CRS use and poor parental knowledge about it, education of parents toward boosters use and benefits of using CRS, enforcing mandatory laws and ploicies for CRS use in Iran, and allocation of government subsidies to low-income families for purchasing CRS are suggeted as essential strategies to increase CRS use.

Adaptation of a European categorization system for driving-impairing medicines in Iran.

OBJECTIVE: Road traffic crashes due to impaired driving are a leading cause of preventable injuries and deaths. The purpose of this study was adaptation of a European categorization system for driving-impairing medicines in Iran. METHODS: DRUID categorization system was used as a leading model to classify medicines. Medicines that were compatible with DRUID categorization system were identified and classified accordingly. Medicines that were not compatible with DRUID categorization system were assessed in an expert panel in terms of possiblity of classification. Instructions for health care providers and advice for patients were prepared based on the medicine's influence on fitness to drive. RESULTS: Of the 1255 medicines in Iranian pharmacopeia, 488 medicines were classified in four categories. Among classified medicines 43.85% and 25.41% belonged to Category 0 and Category 1. About 13.94%, 10.04%, and 6.76% pertained to Category 2, Category 3, and Multiple categories respectively. Majority of the medicines with moderate and severe adverse influences on driving fitness belonged to the nervous system medicines (72.65%). Most of the medicines with non-existing or minor adverse influences on driving fitness pertained to cardiovascular medicines (16.56%). Majority of uncategorized medicines belonged to Iranian herbal medicines. CONCLUSION: The current study disclosed that DRUID categorization system was implementable for most of the commonly prescribed medicines. Experimental studies are needed to determine the influence of uncategorized medicines of Iranian pharmacopeia. Other countries with similar settings can adapt DRUID categorization system until they develop their own model using original studies.

Categorization and labeling systems concerning driving-impairing medicines: A scoping review.

OBJECTIVE: Classification systems concerning driving-impairing medicines can help healthcare providers identify medicinal drugs with no or the least impairing effects and inform patients of the potential risks of certain medicines to safe driving. This study aimed to comprehensively assess the characteristics of classifications and labeling systems regarding driving-impairing medicines. METHODS: Google Scholar and several databases, including PubMed, Scopus, Web of Science, EMBASE, safetylit.org, and TRID were searched to identify the relevant published material. The retrieved material was assessed for eligibility. Data extraction was done to compare the categorization/labeling systems concerning driving-impairing medicines in terms of characteristics such as the number of categories, description of each category, and description of pictograms. RESULTS: After screening 5,852 records, 20 studies were selected for inclusion in the review. This review identified 22 categorization/labeling systems regarding medicines and driving. Classification systems had different characteristics, but most of them were designed based on the graded categorization system described by Wolschrijn. Initially, categorization systems had seven levels, but later the medicine impacts were summarized into 3 or 4 levels. CONCLUSIONS: Although different categorization/labeling systems regarding driving-impairing medicines are available, the most effective systems in changing driver's behavior are the simple and understandable ones. Besides, health care providers should consider patient's socio-demographic features when informing them about driving under the influence.