The association of exposure to air pollution and depression in women; a cross-sectional study of a middle-income country.

Air pollution exposure has been related with mental disorders, especially depression; however, the available evidence on these associations in Low and Middle-Income Countries (LMICs) is scarce. Therefore, we aimed to assess the relationship between particulate matter (PM) exposure and indicators of traffic with depressive symptoms in women of Sabzevar, Iran. This cross-sectional study was based on 741 women aged 15-45 years (adults) in 2019. The annual average of PM10, PM2.5 and PM1 at home was estimated using land use regression (LUR) models. Street map of Sabzevar was used to calculate the indicators of traffic, i.e., the proximity to major roads and total street length buffers with 100, 300 and 500 m radii around the participants' homes. We used the Center for Epidemiological Studies- Depression (CESD-20) Scale in the general population to measure depression scores. Quasi-Poisson models and logistic regression were used to examine the association and odds ratios of exposure to air pollution and depression scores adjusted for relevant covariates. Exposure to PM10, PM2.5 and PM1 and total street length in 100 m buffer were significantly associated with higher depression scores. In fully adjusted model, an interquartile range (IQR) increase in PM10, PM2.5 and PM1 concentration as well as total street length in 100 m buffer was associated with 1.25 (95% CI:1.03, 1.52, P-value = 0.02), 1.16 (95% CI: 1.06, 1.26, P-value< 0.01), 1.16 (95% CI: 1.03, 1.29, P-Value = 0.01) and 1.15 (95% CI: 1.06, 1.25, P-value< 0.01) odds of clinical depression, respectively. For street length in 300 and 500 m buffers and proximity to major roads, no statistically significant increased risk of clinical depression were observed. Overall, our findings recommended that air pollution exposure has increased the risk of clinical depression in women.

Designing a comprehensive clinical competency test for operating room technology student: Using Delphi technique and CIPP model evaluation.

BACKGROUND: The ultimate goal in educating medical students is to train skilled workforce who by obtaining the required knowledge of the discipline, personal and professional skills, and attitudes to enter the national health-care system. This study was conducted with the goal of designing a comprehensive clinical competency test of operating room technology student using the Delphi technique, and then, the clinical skills of the operating room technology students of the paramedical school were assessed using the CIPP evaluation model. MATERIALS AND METHODS: The present study was conducted in the University of Medical Sciences to evaluate clinical skills with Delphi technique and CIPP evaluation model. This was a mixed methods study. Purposive sampling method was employed in the qualitative stage, and a census was conducted in the quantitative part. A comprehensive clinical competency test was designed in this research using the Delphi technique and was conducted with 18 students. Then, clinical skills evaluation was performed by descriptive-analytical statistical tests and evaluator's observation using the CIPP model. RESULTS: The comprehensive clinical competencies test of the surgical technology students was designed in four sections: content, evaluation method, test conditions, and the criteria for passing the comprehensive test. The results in the implementation stage showed that the operating room technology students had a range of excellent to weak performances in exhibiting basic skills at different levels. CONCLUSIONS: The results of the present study showed that the comprehensive test, designed based on the Delphi technique of experts, and using the CIPP model can be a good criterion for the evaluation of the operating room technology students before entering the clerkship.