نشریه طب کار
سال هفتم شماره 4 (پیاپی 21، زمستان 1394)

Owing to the wide variety of jobs and professions in hospitals, many risk factors threaten staff health. The current study examines the relationship between staff’s job accidents and the resulting absence in hospitals of Tehran and Iran universities of Medical Sciences.
This was a cross-sectional study. Data were collected by questionnaires asking different staff about their job accidents through 2013 in 26 hospitals of Tehran and Iran Universities of Medical Sciences. The Chi-square and independent t tests were used to examine the relationship between job accidents and absence.
368 completed questionnaires were returned out of 385 distributed ones. Body cut resulted from pointed and sharp objects with 77.2 percent and burns with 6.7 percent were the most and least prevalent accidents among staff respectively. Skin touch with patients’ blood and other fluids was reported as the most absence-causing factor with 92 days, and on the other hand staff accident with trolleys and beds, burns and electricity shock resulted in no day of absence. A meaningful relationship was found between the type of accidents and the resulted days of absence.
Blood and other biological fluids were the main risk factors for staff to send them off their job. For improving staff efficiency and effectiveness, the job accidents should be investigated based on their resulted absence days and corrective considerations are respected.

Nowadays, air pollution, occupational and industrial harmful exposure caused the increasing prevalence of lung diseases. The pulmonary function testing such as spirometry plays an important role in the diagnosis and treatment of lung diseases. Due to the increasing use of the classification system in the prediction and detection based on the test samples, diagnosis the patients and non- patients according to their pulmonary performance without testing can be achieved relying on data-based prediction methods.
In this study, a new method developed by fuzzy system was used to determine the restriction syndrome pulmonary disease to find workers in the tile industry. The fuzzy system designed considering the main factors affecting respiratory health in tile industry with the values of FVC and FEV1, which is the result of the spirometry test analysis in the workplace. These systems input include the staff occupational and environmental information, and the output is prediction of being sick or healthy.
Among the used classification methods, the fuzzy method was achieved acceptable results because of the samples awarded degree in each cluster.According to the developed model in this study for predicting obstructive and restrictive pulmonary syndrome based on the analyzed test samples related to information of workers in 1394, the achieved accuracy was 0.71and 0.79, respectively.
Using the fuzzy systems for modeling and predicting on medical issues such as diagnosis the diseases recommended due to the appropriate performance of them in uncertain environment. The knowledge in fuzzy systems expressed as if-then rules, so the obtained knowledge is understandable by humans and can be refined by experts if necessary.

Fatigue in the workplace as a normal everyday experience is, Extreme fatigue in the long run may lead to sick leave and work disability. The aim of this study was to investigate the association between the prevalence of musculoskeletal disorders - poor postures, muscle and levels of individual strength in a heavy metal industry.

This descriptive - cross sectional study was carried out on 100 workers in heavy metal small confirms was conducted in Isfahan. A compilation of four methods of data collection included observation method (For the analysis of jobs and tasks with repetitive movements), interviews (for questions about musculoskeletal disorders. A questionnaire musculoskeletal disorders Nordic (NMQ), fatigue and rapid assessment of exposure (QEC) and Rapid Upper Limb Assessment (RULA) was used. Data was examined using t - Independent Software SPSS16 were analyze.

The incidence of musculoskeletal disorders in different parts of the body, neck, elbows, back, waist and knees, with variables individual strength, mental fatigue, concentration, motivation, physical activity, there was no significant difference respectively (p

Fatigue can be used as a prognostic is musculoskeletal disorders. Musculoskeletal disorders can be influential on fatigue.

Personal characters of employees are known as an important effective factor on the quality of their work. Previous studies showed that personality differences had an impact on the function and behaviours of employees and it has potentially impact on the forming organizational climate and productivity. Knowing about personal characters of employees can help the managers to select suitable persons for best positions and it can increase job satisfaction of their workers. The present study was performed for determination of association between job satisfaction and personality characters among relief workers of Tehran Red Crescent.
The present observational analytic study according to the cross sectional method was performed on 199 relief workers of Shahr Rey and Shemiranat branch of Red Crescent organization. NEOPI and Barry Field-Roth's job satisfaction questionnaires were used for data collection.
In the present study, 102 (51.3%) participants were satisfied and 97 (48.7%) of people were unsatisfied from your job. There is a significant association between the personal characters and job satisfaction among study participants. Commitment personal character had the most and neuroticism had the lowest association with job satisfaction level among participants.
More attention of organization to the personality characters of workers and preparing suitable equipment and environment for increasing workers commitment to their workplaces can prepare supportive and suitable environment for better productive function of workers.

According to the increasing growth of industries and technologies and consequently increasing accidents and occupational diseases, this study aimed to by analyzing the main causes of accidents in Yazd Combined Cycle Power Plant and finally prepared the situation to present suitable control measures.
This study is a descriptive–analytical, which is analyzed the trend of occupational accidents. In this study, information collected through check lists and interviews with accident victims and based on the data extracted, the accident indicators were calculated. Then, the data were analyzed using SPSS software.
During an 8-year- period, out of 1189 workers, 287 cases of occupational accident have been registered. Results indicated that there was a meaningful relationship between the age, job experience and marital status. The most types of accidents and their causes were related to the trauma and unsafe acts, respectively. The most events had occurred in winter, at the beginning of the day shift in the maintenance unit. Accident indicators decreased specially accident frequency rate (AFR). In this study, maximum and minimum value of frequent-severity index was 1.74 in 1383 and 0.56 in 1390, respectively. In addition the results showed that, education level on accident frequency rate and income monthly had a protective effect on accident frequency rate and severity- frequency rate (FSI).
Nowadays, to prioritize hazards and corrective actions, it was used the results of techniques and risk assessments. The results related to accidents can be used at comprehensive database as well as they wereutilized for qualifying the risk the risk assessments.