Search published articles


Showing 2 results for Fayaz

Soheil Saadat, Iraj Alimohammadi, Mojgan Karbakhsh, Hassan Ashayeri, Farideh Sadeghian, Shahrbanoo Goli, Mahsa Fayaz,
Volume 8, Issue 2 (6-2018)
Abstract

Introduction: Impairment of alertness, attention and performance associated with sleepiness and fatigue in nurses occur in night and long-term shifts that in the end of night shift reach to the maximum level can lead to traffic accidents when they returning home. The purpose of this study was to determine the effect of night shift on psychomotor abilities of driving in nurses after shiftwork.
 

Material and Method: A cohort study was carried out on 23 night shift and 24 day shift female nurses aged 20 to 40 at Sina Hospital in Tehran city, using the Vienna Test System (VTS). The concentration and selective attention, reaction time, pheriperal perception, and coordination before and after night and day shifts were measured. A multiple linear regression model and Backward stepwise selection method was used for analyses.
 

Result: In the concentration and selective attention test, sum hits  (p = 0.038) and in the visual perception test , divided attention (p =0.006) and visual field (p =0.019), and in the  reaction time test the mean motor time  (p =0.034) showed a significant adverse relationship with working in night shift, but the visomotor coordination variables did not show any significant correlation.
 

Conclusion: The results showed that the concentration and selective attention, peripheral perception, and reaction time of psychomotor ability of driving were significantly adversely impaired in nurses after night shift. These results in evidence of the mechanism of increasing traffic accidents after night shift among nurses added to the previous studies in this subject.


Ameneh Fayazi, Mostafa Pouyakian, Mohammad Javad Jafari, Soheila Khodakarim,
Volume 9, Issue 1 (4-2019)
Abstract

Introduction: Changing the national System of Classification and Labelling of Chemicals to Globally Harmonized System of Classification and Labelling of Chemicals (GHS) is beneficial for all the industries of the countries, their workers and the general public. Increasing the awareness of chemical hazards, improving the safety uses, reducing chemical accidents, and providing better conditions for emergency response in the event of chemical accidents, are some of the most important benefits of the GHS. Present study aimed to develop a tool for assessing the awareness level of chemical related personnel using the GHS and current status.  
Material and Methods: By reviewing the literatures, the GHS Guide, available sources and consultation with experts, two questionnaires were developed to assess the level of awareness of chemical related personnel and current statue. The two designed questionnaires included personal information, multiple choice questions and questions related to safety signs. The face and content validity was conducted using the experts’ panel assessment. The face validity, content validity ratio (CVR) and content validity index (CVI) were all calculated for each question.
Results: Content Validity Ratios (CVR) and Content Validity Index (CVI) were calculated for each question. The general clarity, general fit and general simplicity of the awareness questionnaire (questionnaire number 1) were obtained 0.87, 0.91 and 0.77, respectively. The mean content validity index and the mean content validity ratio were obtained 0.85, 0.85, respectively. The overall clarity, overall fit, and the general simplicity of the current status questionnaire (questionnaire number 2) was 0.92, 0.89 and 0.93, respectively. The mean content validity index and mean content validity ratio were obtained 0.92 and 0.81, respectively.
Conclusion: The two questionnaires used to assess the awareness level of chemical related personnel and current statue of GHS, were identified as valid instruments and therefore is recommended as a valid tool for future studies.

Page 1 from 1     

© 2025 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb