m. abbassinia

The study of workload was initially focused on physical workload, but today, with the change in job characteristics, studies are mainly focused on mental workload. This study has investigated the level of mental workload, fatigue, and possible influential factors in operating room personnel.

This descriptive-analytical and cross-sectional study investigated the factors affecting mental workload and fatigue in operating room personnel of hospitals. The data was collected with demographic, CIS20R, and NASA-TLX questionnaires. Statistical analysis was performed with Pearson correlation tests, one-way analysis of variance, and independent t-test.

This study's maximum and minimum total mental workload were 100 and 41.2, respectively, with an average of 74.3. Among the demographic characteristics, the level of education had a significant correlation with the total mental workload. Also, some sub-scales of mental workload had a significant relationship with some demographic characteristics. This study's maximum and minimum total fatigue was 97 and 28, respectively, with an average of 58.4. Among the different dimensions of mental workload, performance and the degree of frustration had a significant relationship with total fatigue.

The results of this study showed that the mental workload in operating room personnel is high and different dimensions of mental workload and fatigue have a significant relationship with each other. Also, some demographic characteristics affect mental workload. Therefore, mental workload and fatigue are related to each other, and by reducing the mental workload in the operating room personnel, fatigue can be controlled to some extent.

People spend many times a day at work and they mostly do their work using computer. Today، computers are an integral part of the workplace، especially in office environments. The purpose of present study is to explore visual discomfort among office staff of Tehran university of Medical Sciences.

This is a cross-sectional analytical study and was done in 2012. Sample size was determined 150 people by simple random sampling. Data collection methods in our study were two questionnaires including demographic information questionnaire and Conlon questionnaire that is applied for measuring visual discomfort. Using SPSS. 18، descriptive statistics (like frequency counts، percentage distributions) and inferential statistics like Pearson correlation coefficient، student''s T-test and variance analysis were done for data analysis.

Results showed that 70% of subjects had the medium visual discomfort. It was found a significant correlation between visual discomfort and age and work experience (Pearson test: r=0. 181 and Pvalue=0. 042) and also there was a statistically significant relationship between visual discomfort and sex and education level (chi- square test: Pvalue=0. 025).

it is obvious that working with computer affected on visual comfort of office staff and it leaded to decrease visual comfort among them. Hence it is necessary for prevention of visual discomfort or/and exacerbating visual impairments to improve the lighting systems and teach the correct procedures of working with computer.