Showing 5 results for Job Stress
S Kazronian, S. A. Zakerian, J. N. Saraji, M. Hosseini,
Volume 3, Issue 3 (12-2013)
Abstract
Introduction: currently, stress is known as one the most important issue among societies which may have positive or negative results. Stress is caused when there is not a harmony between job demands, capabilities and desires of a person. Most of the behavioral, physical and mental disorders are results of job stress. The objective of this study was Validity and Reliability analysis of NIOSH Generic Job Stress Questionnaire (GJSQ), in order to have an appropriate tool for evaluation and analysis of job stress in Iran.
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Material and Method: In this study, 228 members of Tehran fire-fighting office were chosen according to categorical and clustering sampling, methodology and they completed NIOSH Generic Job Stress Questionnaire (GJSQ). For Validity and Reliability of questionnaire, 20 persons of the group were chosen for content validity analysis of the questionnaire. For Reliability analysis of the result, Cronbach alpha test and in-cluster correlation test were used. SPSS software version 18 was used for analysis of the data.
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Result: The mean age of the participants was 30.8 years (SD=4.9) and the average of job tenure in fire-fighting office was 7.4 years (SD=4.8). In order to reliability analyze the questionnaire, Cronbach alpha coefficient of all influential factors was obtained more than 0.7. In-cluster correlation coefficient of the questionnaire is calculated using retesting on all influential factors. With the exception of Physical Environment and Mental Demands which were about average, all other coefficients were over 0.7, which is a very appropriate result.
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Conclusion: Considering that Validity and Reliability factors of the questionnaire were be appropriate, it can be recommended that NIOSH Generic Job Stress Questionnaire (GJSQ) can be used as a Valid and Reliable questionnaire for job stress evaluation in Iran.
Elmira Vaziri, Marziyeh Zakeri, Alireza Rajabipoor Meybodi,
Volume 10, Issue 1 (3-2020)
Abstract
Introduction: Nurses, in comparison with other occupations, expose higher job stress; therefore, satisfaction in this job and its characteristics is very important. The purpose of this study was to investigate the effect of occupational characteristics on job satisfaction and job stress with the mediation of emotional work among nurses in Shariati Hospital, Isfahan City.
Materials and Methods: This cross-sectional study was conducted among nurses of Shariati hospital in Isfahan city, in 1397. The population in this study was 180 people selected by Morgan method at about 118 nurses. The data were collected using the job characteristics, job styles, job satisfaction and emotional work questionnaires. The SPSS Ver. 20 and Smart pls 3.2.6 software were used for data analysis.
Results: According to the results, the dimensions of job characteristics such as importance, identity, independence, feedback, and verity of skills on job satisfaction were obtained. Also, the occupational stress by mediating emotional work (superficial and deep work), based on statistical results ( t-test), the value of 8.589 statistics for the impact of occupational characteristics on work emotional, the 6.381 effects of emotional work on job satisfaction and value of 17.382 for significant effect on emotional work on job stress were efficiently achieved with positive effect.
Conclusion: Based on mediating emotional work, the Job characteristics have a positive and significant effect on the nurses’ job satisfaction and job stress. Therefore, the hospital managers should pay more attention to the characteristics and satisfaction of job stress and emotion of the job. The management of job stress and job satisfaction was improved through the recognition of the features of work and emotional work as favorite policies.
Masoud Mohammadi, Aliakbar Vaisi-Raygani, Rostam Jalali, Nader Salari,
Volume 10, Issue 2 (5-2020)
Abstract
Introduction: One of the most common psychiatric disorders in nurses is job stress. Regarding the inconsistency of the studies conducted in nurses working in Iran, the present structured review and meta- analysis study was conducted to determine the prevalence of job stress in nurses working in Iranian hospitals.
Materials and Methods: The present study is a systematic review and meta-analysis conducted during 2001-2017. Articles related to job stress were obtained by searching SID, MEDLINE (PubMed), Science direct, and Google Scholar databases, and data were analyzed using Comprehensive Meta-Analysis software.
Results: Having investigated 17 studies, the overall prevalence of Job stress in nurses working in Iranian hospitals was obtained 60% (48.1% - 70.7%: 95% confidence), meta-regression test was conducted to investigate the heterogeneity of meta-analysis results. It was reported that increasing sample size decreases the prevalence of Job stress (P <0.05).
Conclusion: Regarding the high prevalence of job stress among nurses working in Iranian hospitals, health policymakers have to take effective measures to remove and reduce the stress causes in nurses to reduce the prevalence of stress in nurses and enhance work efficiency.
Fatemeh Zameni, Parvin Nasiri, Mohsen Mahdinia, Ahmad Soltanzadeh,
Volume 11, Issue 1 (3-2021)
Abstract
Introduction: Damage to occupational health is one of the major challenges in the industry. Various studies have shown that productivity in industries has a significant relationship with occupational health. In addition, employee’s health in the workplace can be affected by a variety of variables i.e., job stress, job satisfaction, and work in unconventional shifts. Therefore, the purpose of this study was to evaluate the causal relationships of shift work, job stress, job satisfaction with the occupational health level in a petrochemical industry.
Material and Methods: This cross-sectional study was implemented in 2017. The study sample consisted of 20 HSE experts selected using purposeful judgment sampling. A 4×4 matrix questionnaire consisting of four main parameters i.e., shift work, job stress and job satisfaction with occupational health level, was used for data acquisition. Data analysis was done using MATLAB software and Fuzzy DEMATEL method. Also, for each variable, two key values of D+R and D-R were calculated. These values show the degree of interaction and the type of interaction of the variable with other variables, respectively.
Results: Sixty percent of the experts participating in this study were male and 40.0% were female. Only 10.0% of the participants had a PhD degree. In addition, the mean age and the mean work experience of the subjects were 39.64±9.34 and 10.22±7.10 years, respectively. The parameters of shift work and job satisfaction were identified as an effective factor due to the positive values of D-R while occupational health variable with negative value of D-R, was considered as an affected factor. In addition, these results showed that the effect of these parameters on health is different with both direct and indirect mechanisms.
Conclusion: Using the Fuzzy DEMATEL method, our findings indicated that occupational health in the large industries can be influenced by different parameters with different sizes. Considering the interactions among these parameters in health analysis and the affecting factors, therefore, is very important. So, the health level in challenging industrial environment such as petrochemical industries can be affected by shift work as a root cause. This root cause, along with job satisfaction, has a significant effect on increasing stress levels and reducing health levels. Accordingly, any action to increase the health level should focus on improving shift patterns and increasing the level of job satisfaction of employees as a pivotal root and affecting causes on health level.
Elahe Allahyari, Abdollah Gholami, Morteza Arab-Zozani, Hosein Ameri, Negin Nasseh,
Volume 11, Issue 3 (9-2021)
Abstract
Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this model with the multivariate regression model.
Material and Methods: In order to do that, 892 participants were selected randomly in different job categories. Then, 15 dimensions of Bar-On questionnaire, 10 job categories, age and education were considered as input variables and 7 dimensions of health and safety executive HSE were determined as output variables in models.
Results: The results revealed that an artificial neural network with hyperbolic tangent and sigmoid transfer functions respectively in hidden and output layers with 375 hidden neurons had significantly better performance than multivariate regression. So that, correlation of predicted values and job stress were only between 0.192-0.364 in regression model, but neural network had at least correlation 0.527 in all dimensions of job stress.
Conclusion: In predicting job stress using emotional intelligence, artificial neural network method was much better than multivariate regression model.
