Showing 3 results for Mihanpoor
Mj Zare Sakhvidi , H Mihanpoor, H Falahzadeh, M Mostaghaci, Gh Halvani, F Samouri,
Volume 5, Issue 4 (Occupational Medicine Quarterly Journal 2013)
Abstract
Background: expert judgments in combination with exposure models are used extensively in estimation of inhalational exposures in occupational environments. However, their reliability is not as good as conventional air sampling methods. The aim of this study was to investigate the applicability, weaknesses and strengths of Bayesian analysis in combination with SSA (Structured Subjective Assessment Method) and MEASE (Material Estimated and Assessment of Substance Exposure) and its comparison with air sampling data.
Methods: the analytical cross sectional –study performed on a weighting, mixing and packing task in an inorganic processing industry. Air samples were taken and analyzed by gravimetric methods. Inhalation exposures were estimated by 3 occupational hygienists. Descriptive and Bayesian analysis were performed on data.
Results: all three methods guaranteed that the exposure is above exposure limit. There was no difference between means reported in methods (p=0.435). However, SSA had higher variability in comparison with sampling. There was no difference between direct sampling and MEASE variability. Use of SSA as a prior in Bayesian analysis gives more conservative than MEASE method (category 4: 0.74 vs. 0.54)
Discussion: SSA is a good choice as a prior distribution in Bayesian analysis. MEASE has not good results in comparison with SSA in inhalation exposure assessment. It seems that MEASE needs more validation.
Gh Halvani, A Barkhordari, F Laal, A Khoshakhlagh, H Mihanpoor,
Volume 6, Issue 3 (Occupational Medicine Quarterly Journal 2014)
Abstract
Background: By considering the development of power plants in the country and identifying potential hazards in the mentioned work process, this study intends to change analyzes before and after the implementation of integrated management systems to control the consequences of hazards by this systematic methods.
Materials and Methods: This study is a descriptive - analytical in type of before and after that during the years 1383 to 1390 in Yazd combined cycle power plant is accomplished. Variables are hour of work, days of lost work, the coefficient of accident frequency rate (AFR), coefficient of accident severity rate (ASR), the coefficient of accident frequency severity rate (FSI), the coefficient of T Safe (safe t score) and the coefficient of incident rate (IR) and frequency rate (FR).
Results: Among different jobs, the highest number of accidents was related to workers and the lowest number of incidents was related to engineers and experts. The highest rate indicators of the frequency, intensity, intensity - frequency and frequency rate and incident rate coefficients related to the year 1383 (the year before the implementation of integrated management systems) and the highest accident severity index was related to year 1387. Meanwhile the lowest Value of all indicators belongs to year 1390. According to the safe T coefficient, until 1388, changes have been Significant and the situation has improved and significant in the years 1390-1389 (safe t score <-3).
Conclusions: Results have showed that the implementation of safety programs has a positive impact on reduction of accident indicators and on various situation is used by coefficients that change trend will show better than control chart.
Ah Khoshakhlagh, Gh Halvani, Fereydoon Laal, Hamideh Mihanpoor, Mr Moradi,
Volume 7, Issue 1 (Occupational Medicine Quarterly Medicine 2015)
Abstract
Background and Aim: In recent decades, the issue of stress and its negative consequences such as violence in the workplace, increased accidents at work, Absenteeism and burnout, have deleterious effects on the efficiency and economy. The aim of this study was to determine the occupational stress of pelletizing industry workers and its determinants.
Methods: This study was descriptive - analytical and cross sectional. Among of pelletizing plant workers selected 120 subjects (randomly) and according to the shift, they are divided into two groups of Shift and non-shift work and for the estimation of stress, 120 occupational questionnaires with 92% reliability was completed and Statistical data was analyzed by the SPSS software.
Results: 88% of employees had severe stress. Severe stress was observed in shift work, low age and experience (in both shift and non-shift), respectively, 90%, 96.2% and 94.7%. 92.6% of smokers also had severe stress. Between job stress and levels of education, and marital status and sleep problems were not significantly association (p>0/05).
Conclusions: According to the result of presented study, shift work, smoking, low age and experience were the causes and triggers of stress. Therefore it is suggested, takes into account the selection and periodic examinations of workers with these characteristics for stressful jobs and so identify sources of stress for reducing causing factors as systematically and prioritize be attempted.
