In spite of increased production and productivity, there are different adverse effects of technology expansion such as psychological stresses, increased incidence of musculoskeletal disorders, inactivity and fatigue. Several approaches and strategies have been introduced to deal with occupational burnout and reduce musculoskeletal disorders, including setting up training programmes, ergonomic principles for working, job rotation, relaxing and sharing information on occupational burnout and musculoskeletal disorders among employees. The purpose of this study was to investigate the relationship between musculoskeletal disorders and occupational burnout in the computer users in Zabol University of Medical Sciences, Iran. The present descriptive-analytic study was performed on all computer users in Zabol University of Medical Sciences. Participants (n = 70) were selected by census method. Data collection tools were physical posture assessment checklist using Rapid Office Strain Assessment (ROSA) and Geldard Burnout Inventory (GBI). The opinions of the respective experts were used to confirm the validity of the questionnaires. Then, the questionnaires were distributed among computer users.Finally, collected data were analyzed by SPSS 19 software and P <0.05 was considered as significance level. Pearson correlation coefficient showed a direct and significant statistical relationship between the occupational burnout and the musculoskeletal disorders and indicated that the occupational burnout level was elevated among employees by increasing the musculoskeletal disorders. Given the obvious relationship between the occupational burnout and the musculoskeletal disorders, the managers of organizations are required to plan programmes to improve work conditions, reduce stress, modify working instrument and train ergonomic principles for working.

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The aim of this study was to determine the accuracy of fuzzy rule-based classification that could noninvasively predict CAD based on myocardial perfusion scan test and clinical-epidemiological variables. This was a cross-sectional study in which the characteristics, the results of myocardial perfusion scan (MPS), and coronary artery angiography of 115 patients, 62 (53.9%) males, in Mazandaran Heart Center in the north of Iran have been collected. We used membership functions for medical variables by reviewing the related literature. To improve the classification performance, we used Ishibuchi et al. and Nozaki et al. methods by adjusting the grade of certainty CF j of each rule. This system includes 144 rules and the antecedent part of all rules has more than one part. The coronary artery disease data used in this paper contained 115 samples. The data was classified into four classes, namely, classes 1 (normal), 2 (stenosis in one single vessel), 3 (stenosis in two vessels), and 4 (stenosis in three vessels) which had 39, 35, 17, and 24 subjects, respectively. The accuracy in the fuzzy classification based on if-then rule was 92.8 percent if classification result was considered based on rule selection by expert, while it was 91.9 when classification result was obtained according to the equation. To increase the classification rate, we deleted the extra rules to reduce the fuzzy rules after introducing the membership functions.

The majority of family caregivers had anxiety. Given, the inverse relationship between the level of anxiety and the use of problem-based coping strategy, in addition to identifying and reducing the causes of anxiety in caregivers. It is recommended that appropriate coping strategies should be trained to them.