|Year : 2019 | Volume
| Issue : 4 | Page : 148-153
The correlation between occupational unsafe acts and job burnout among workers in kashan metal melting industries 2017
Hossein Akbari1, Masoud Motalebi Kashani1, Zahra Asadi2, Mahdieh Kaveh3, Mitra Hannani1
1 Social Determinants of Health Research Center, Kashan University of Medical Sciences, Kashan, Iran
2 Department of Environment Engineering, Islamic Azad University, Central Branch of Tehran, Tehran, Iran
3 Department of Occupational Health, Health Faculty, Kashan University of Medical Sciences, Kashan, Iran
|Date of Submission||23-Jun-2019|
|Date of Decision||22-Jul-2019|
|Date of Acceptance||29-Jul-2019|
|Date of Web Publication||08-Nov-2019|
Dr. Masoud Motalebi Kashani
Social Determinants of Health Research Center, Kashan University of Medical Sciences, Kashan
Source of Support: None, Conflict of Interest: None
Aim: Literature in workplace safety has classified the causes of occupational accidents into unsafe conditions and unsafe acts. Job burnout can lead to loss of quality and efficiency of the individual, reduce physical and mental health, and may cause to increase of unsafe acts. The purpose of this study was to investigate the correlation of unsafe acts with job burnout among workers of Kashan smelting industries. Materials and Methods: This cross-sectional study was conducted on 112 workers of metal melting industries. The unsafe acts of them were monitored through observation and using the Tarrant's checklist. The examination of burnout was carried out using the Maslach questionnaire. The demographic data were also collected by a researcher-made questionnaire. The results were analyzed using the Chi-square test, independent t-test, and analysis of variance. Results: The results indicated that 43.23% of workers' behaviors were unsafe. The most frequent unsafe act was the fail to using personal protective equipment (38.1%), and the least frequent was inadvertency (0.07%). There was a significant relationship between smoking, work units, safety education, and working hours with unsafe acts (P < 0.05). There was no significant relationship between the dimensions of occupational burnout with unsafe acts. Conclusion: The prevalence of unsafe behavior in the metal smelting industry is relatively high, and job burnout cannot be used as an appropriate indicator to predict unsafe acts in metal melting industry. Planning for safety training to workers and the setting of suitable work hours can be used as effective strategies to reduce unsafe acts.
Keywords: Job burnout, metal smelting industries, occupational accidents, unsafe acts
|How to cite this article:|
Akbari H, Kashani MM, Asadi Z, Kaveh M, Hannani M. The correlation between occupational unsafe acts and job burnout among workers in kashan metal melting industries 2017. Int Arch Health Sci 2019;6:148-53
|How to cite this URL:|
Akbari H, Kashani MM, Asadi Z, Kaveh M, Hannani M. The correlation between occupational unsafe acts and job burnout among workers in kashan metal melting industries 2017. Int Arch Health Sci [serial online] 2019 [cited 2019 Nov 20];6:148-53. Available from: http://www.iahs.kaums.ac.ir/text.asp?2019/6/4/148/270601
| Introduction|| |
Occupational accidents are the 3rd leading cause of death in the world and the 2nd leading cause of death in Iran after automobile accidents, and one of the most important factors which put health, social, and economic situations in danger, in industrial and developing societies. Considering the importance of controlling the incidence rates, various investigations and models have been presented on the causes of accidents, which in most of them, two factors of unsafe acts and unsafe conditions are mentioned as the most important causes of accidents.
The accidents of the iron and steel industry, are due to its processes, more than in the other industries. Processes such as the spreading, the explosions, the discharge and hurling of molten metal or lava, furnace fillers, cranes and ladles (cauldron of molten metal) falling objects, and obstruction of workshop floors and paths. Most of the hazards are multiple, like dropping of a molten metal cauldron from a crane moving along a busy path. The main cause of most accidents is unsafe acts.
In industrial societies, occupational burnout has become widespread and encompasses all aspects of people's lives. On the one hand, it triggers divorce, resignation of jobs, and mental and physical illnesses, and on the other hand, it induces the reduction of productive workforce and economic blow and also deteriorates production potential of the country. This phenomenon endangers all dimensions of society.
Based on the scientific literature, burnout is correlated with the requirements and resources of the job  and is not limited to individuals and can reflect on the entire team and organization.
Job burnout is one of the major occupational issues, which impose significant expenses on organizations. For example, in the United States, expenses of organizations associated with burnout are estimated to be 50–70 USD million/year.
The purpose of this research was the identification of management, and some psychosocial variables affecting the occurrence of accidents in the metal smelting industry as one of the most unsafe occupations, in order to more deeply identify psychological and social factors affecting accidents and to help programs of accident prevention and progression of safety and health level and also to examine the correlation of unsafe occupational acts with job burnout of employees of Kashan metallurgy industry.
| Materials and Methods|| |
This research is a cross-sectional study, and all personnel involved with molten materials (112 people) employed in four smelting factories were included in the study through census. In this study, researcher-made questionnaires were used to collect the demographic data of individuals including age, gender, related work experience, number of completed courses, level of education, and number of occupational accidents. The number of work accidents reported by the workers themselves was matched with the documentation of the company to ensure the accuracy of the information and increase the accuracy of analyses.
In this research, the Tarrant's checklist was used for sampling the unsafe acts. In this checklist, eight groups of unsafe acts are examined, each of which includes smaller subsets and the percentage of unsafe acts of each person in eight behavioral groups (in accordance with the Tarrant's checklist) is assessed. After measuring and assessing unsafe acts in the specified groups, the total percentage of unsafe behavior of each person was determined using the following formula:
The percentage of unsafe acts of each person = (unsafe acts/total acts) × 100
Before the start of the main observations, a preliminary study is first carried out with two objectives as follows:
- Determine the unsafe actions of workers of the metal smelting industry that may not exist in the Tarrant's checklist. For this purpose, according to the literature, 200 systematic observations of workers' attitudes were performed, and unsafe acts which were not included in the main Tarrant's checklist were added to this list 
- Determination of the number of observations required, to record and investigate the unsafe actions of the workers: in this regard, based on the results of the preliminary study and the ratio of unsafe acts to total acts of workers, and considering the accuracy of 6% of the prevalence and confidence level of 95%, the number of required observations was estimated 3287 (Average 35 observations per worker). After completing the preliminary study, the main observations were carried out to the mentioned number surreptitiously. The average duration of each observation in this study was 3 s.
A demographic questionnaire including information, such as age, marital status, work experience, education degree, job type, type of work unit, smoking rate, type of shift work, the degree of interest in the job, hours of training in safety and specialties related to job, was completed by all the workers who were under the study.
Maslach et al.'s questionnaire is the most common tool for measuring burnout, which consists of 22 distinct items about feelings and attitudes and measures three dimensions of burnout syndrome included emotional exhaustion, depersonalization, and decreased of sense personal accomplishment. The scores obtained in each dimension of burnout according to frequency and intensity are classified into three classes such as low, moderate, and severe. Validity and reliability of the Persian version of this questionnaire have been confirmed in the previous studies, and its reliability coefficient has been reported through a test–retest method of 0.78.
For data analysis, Kolmogorov–Smirnov test was used to normality test of the data. Chi-square tests were used for qualitative variables; independent t-test and ANOVA tests were used for quantitative variables. Data analysis was performed through the SPSS ver 16 (SPSS Co, Chicago, ILL, USA).
| Results|| |
The study was conducted on 112 workers working in the metal smelting industries who were in direct exposure to molten materials and based on 3287 observations. The youngest worker was 21-year-old, and the oldest one was 55-year-old. The largest number of workers who were directly exposed to molten materials belonged to the casting unit (27.7%). 23.2% of the individuals were not holding a diploma degree, 41.1% were high school graduate, and 35.7% were university graduate. 78.6% were married, and 74.1% had rotational shift work. 47.3% of the people were interested in their jobs, and 4.5% of the people were completely uninterested in their jobs.
81.2% of individuals had accomplished health and safety training course, and 71.4% of them had been trained in specialties related to their jobs. 88.4% of individuals did not smoke, and 86.6% of personnel did not have a second job. 66.1%–33.9% of the workers were working 8 h–12 h, respectively. 42.8% of workers have not experiences a job accident until now. The Kolmogorov–Smirnov test showed the normality of data.
As shown in [Table 1] and [Table 2], the mean and standard deviation of the percentage of unsafe acts to the total observed acts have been indicated, respectively, based on demographic data and occupational characteristics.
|Table 1: Mean and standard deviation of percentages of unsafe acts to total observation according to demographic data |
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|Table 2: Mean and standard deviation of percentages of unsafe acts to total observation according to occupational characteristics |
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As it can be seen, there was no significant relationship between factors of personnel's age, work experience, education and marital status, and the ratio of unsafe acts (P = 0.145, P = 0.387, P = 0.197, P = 0.348). The ratio of unsafe acts was 54.94% among smokers while was 43.93% among nonsmokers, which is statistically significant.
Furthermore, according to the results of [Table 2], the highest percentage of unsafe acts was related to the casting unit, and the least was related to the Properzi unit. There was a significant relationship between the percentage of unsafe acts and the work unit (P < 0.001), safety and health training related to work (P = 0.022), and working hours (P = 0.002). However, with other job variables, this relationship was not significant.
According to [Table 3], 10.7%, 21.4%, and 67.9% of the individuals have reported high, moderate, and low emotional exhaustion, respectively; and the intensity of them was 8.9%, 8%, and 83%, respectively. The results of the frequency and intensity of the other two dimensions are clearly indicated in [Table 3].
|Table 3: Distribution of frequency and intensity of burnout in different dimensions |
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The results in [Table 4] show that there is no significant relationship between the frequency and also intensity of each aspect of burnout with age.
|Table 4: Distribution of frequency and intensity of burnout in different dimensions according to age |
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However, in [Table 5], there was a significant relationship between the frequency of emotional exhaustion and work experience (P = 0.032). The other dimensions of occupational burnout (in terms of both intensity and frequency) have no significant relationship with work experience.
|Table 5: Distribution of frequency and intensity of burnout in different dimensions according to work experience |
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As shown in [Table 6], there is no significant difference in the average percentage of unsafe acts in the two groups with low and high levels in different dimensions of burnout.
|Table 6: Mean and standard deviation of percentages of unsafe acts to total observation in two groups with low and high job burnout |
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| Discussion|| |
In this article, based on the type of unsafe acts, out of 3287 of general observation of safe and unsafe acts, 2693 cases have been of unsafe acts which are equivalent to 22.23%. In a similar research by Mohammadfam, in the study of unsafe acts of casting factory workers, this ratio was 59.2%, and in another study, the amount of unsafe behaviors in an automobile factory was reported 35.4%. Kakaei et al. have reported 24.5% of acts as unsafe behaviors in an oil refinery.,
In this study, there was no significant relationship between the age of personnel, work experience, education, marital status, and unsafe behavior, while the results of other studies indicate that the higher the age of a person is, the more likely they are to commit unsafe acts,,,, Chau et al. and Salminen studies also demonstrate that the occurrence of the accident decreases with the increase of occupational experience,, and the results of previous studies show that people with university graduates have fewer unsafe acts than other groups (people with diploma degree and under that).,,,,, The reason for this can be the difference in the number of samples and types of society under the study.
The lack of prudence hinders progress in the professional and educational fields. People who have not seen adequate training at the beginning of their career will face difficulties due to the lack of appropriate strategies for coping with work stress. By acquiring coping skills and mastering the relevant expertise, and with adaptation to the occupational environment and factors, they will be less inclined to experience burnout.
The results of the study indicated that workers of the casting unit had significantly the highest amount of unsafe acts, which show that the work unit has an impact on the occurrence of unsafe acts, and the high-risk unit also has an effect on absent-mindedness and incautiousness that trigger unsafe act. There was significant inverse relationship between unsafe acts and occupational safety and health training (P = 0.022), and also between unsafe acts and working hours (P = 0.022), and this ratio shows that the workers who attend in health, safety, and professional training courses related to their jobs will experience fewer unsafe acts and consequently fewer accidents, and the higher the level of wisdom and knowledge of the individual in terms of health and safety issues is his human error and consequently, the probability of high risk and unsafe behavior done by him will be lower.
The variables of marital status, job shift, having a second job, the amount of interest in the job, the number of accidents, and witnessing accident have no significant relationship with unsafe acts. The rate of smoking (with a confidence coefficient of 93%) has a significant relationship with the unsafe acts, which this ratio shows that people who are smoking have more human errors, and these people have tendency to high-risk behaviors, so they will commit more unsafe acts; and eventually, they will face more accidents in work. In terms of the working hours, the occurrence of incidence was higher among the workers who worked 12 h, which can be the result of fatigue caused by work and absent-mindedness. Researchers believe that occupational accidents can be controlled by reforming behavior. Encouraging employee's safe behaviors can be effective far more than punishing unsafe behaviors in reducing accidents. The best person who can help the organization to reform unsafe behaviors is the worker himself, and engagement and interaction can have a positive effect on the safety performance of the organization and the safety atmosphere.,
Findings indicate that there is no significant relationship between the frequency and intensity of each dimension of burnout with age, but there is a significant relationship between the frequency of emotional exhaustion and work experience. While Saberi et al. by conducting a study on school teachers demonstrated that the frequency of job burnout decreases by the increase of age. Furthermore, in Asghari et al. study, the results indicated that there is no significant relationship between age and work experience with job satisfaction and job burnout using Spearman test, which can be due to differences of the studied societies. According to the results of this study, there is no significant relationship between the dimensions of occupational burnout (both intensity and frequency) with unsafe acts, while findings of other researches confirm the positive and significant relationship between occupational accidents and burnout in employees.,,, Maslach and Leiter believe that accidents resulting from potential work in the work environment lead to job stress, and ultimately will result in burnout over a long period. It seems that the impact of other factors, such as hours of work, unit of work, and safety and health education on insecure acts, is more than burnout.
With these elucidations, according to Diner and Lucas's view, the causes of job burnout include personal stressors (expectations and motivation), interpersonal stressors (contact with clients and relationships with colleagues and managers), and organizational stressors (job resignation, administrative regulations, and occupational stress). In this classification, occupational accidents can be considered as one of the organizational stressors that even thinking about the occurrence of it precipitates emotional distress and naturally, employees' awareness of the probable occurrence of accidents act as a stressor which exacerbates the intensity of emotional exhaustion.
A radical change in the safeguarding of the working environment, the application of proper management practices, job rotation, continuous review of prior to employment training needs, greater supervision at all levels of work by all leaders of organization, and the creation of a safe thinking among all officials in such a way that safety is the duty of all officials as an intrinsic part of managerial and engineering thinking, which will be helpful in the reduction of occupational accidents in this industry. According to the results of the statistical analysis, it can be concluded that in the study groups where the stress level is higher, unsafe behaviors are more and as a result, the number of accidents and the resulting damages are more.
| Conclusion|| |
The prevalence of unsafe acts in the metal smelting industries is relatively high, and job burnout cannot be used as an appropriate indicator to predict unsafe acts. Planning for safety training to workers and the setting of suitable work hours can be used as effective strategies to reduce unsafe acts.
Among the research limitations is the lack of cooperation of some directors and employers of the metal smelting industry, which could be due to a lack of trust in the researchers to transfer company information. Another limitation was the rapid occurrence of workers' behavior, so the researcher must have a decent focus on the behavior of the worker.
The authors appreciate the Vice–President of Research of Kashan University of Medical Sciences for funding the project, well as workers who patiently participated in the study.
Financial support and sponsorship
Kashan University of Medical Sciences.
Conflicts of interest
There are no conflicts of interest.
| References|| |
Bentley T, Haslam R. A comparison of safety practices used by managers of high and low accident rate postal delivery offices. Saf Sci 2001;37:19-3.
Mohammadfam I. Epidemiological evaluation of fatal occupational accidents and estimation of related human costs in Tehran. Tabib e Shargh 2006;4:299-307.
Bahrami A. A Guide to Occupational Health in Foundries. Environmental and Occupational Health Center. Tehran University of Medical Sciences. Institute for Environmental Research; 2012.
Mohammadfam I. The Relationship between Safety Culture and Unsafe Behaviors among Factory Workers Rolled Pipes Ekbatan in 1389, the First National Conference on Student Social Determinants of Health; 1389.
Saatchi M. Utilization Psychology. Tehran: Virayesh; 2011.
Khan F, Yussof RM, Khan A. Job demands, burnout and resources in teaching conceptual review. World Appl Sci J 2014;30:20-8.
Bakker AB. Van Emmeric IJ, Euwema MC. Crossover of burnout and engagement in work teams. Work Occup 2006;33:464-89.
Demir A, Ulusoy M, Ulusoy MF. Investigation of factors influencing burnout levels in the professional and private lives of nurses. Int J Nurs Stud 2003;40:807-27.
Mohamad Fam I, Nouri J, Azadeh A. The evaluation of safety behaviors in agas treatment company in Iran. J Loss Prev Process Ind 2008;21:319-25.
Cooper MD, Phillips RA. Exploratory analysis of the safety climate and safety behavior relationship. J Safety Res 2004;35:497-512.
Maslach C, Jackson SE, Leiter MP, Schaufeli WB, Schwab RL. Burnout Inventory Manual. Palo Alto, CA: Consulting Psychologists Press; 1986.
Mahmoodi GR, Rouhy G, Mojerlu M, Sheikh H, Rahmany H. Relationship between nursing burnout physical environment and profesinal equipments. J Gorgan Univ Med Sci 2006;8:40-460.
Moumeni H, Salehi A, Seraji A. The comparison of burnout in nurses working in clinical and educational sections of Arak University of Medical Sciences in 2008. Arak Medical University Journal (AMUJ) 2010;12:113-23.
Kakaei H, Hashemi Nejad N, Mohammadfam I, Shokouhi M, Ahmadi M, Nasrollahi A, et al
. Reasons of occupational accidents in Kermanshah Petroleum refinery: A retrospective study 1984-2009. Sci J Ilam Univ Med Sci 2012;20:44-52.
Mohammadfam I. Assessment of occupational accidents related to unsafe behavior in a company Khvdrvsazy fslnamh. Iran Occup Health 1999;5:3-4.
Mohammadfam E, Nouri J, Azadeh A. The evaluation of safety behaviors in a gas treatment company in Iran. J Loss Prevent Proces Ind 2008;21:319-25.
Heidari MH. Survey the role of human errors in the incidence of work accidents and the effect of education, participation and monitoring the behavior workers the incidence and severity of events in Petro Karan Company. Fourth National Conference on Occupational Health Iran, Hamedan; 2004. p. 639-46.
Minoo A, Mohseni H, Hashemvand Y. Relationship between Attitudes to Safety with Demographic Factors and Safe Behavior of Saipa Company Employees. The First International Conference on Industrial Safety Station, Health Professionals and Environmental Organizations, Isfahan; 2008.
Sanaei Nasab H, Ghofranipour F, Kazemnejad A, Kazemnejad A, Khavanin A. Evaluation of knowledge, attitude and behavior of workers towards occupational health and safety. Iran J Public Health 2009;3:125-9.
Chau N, Gauchard GC, Dehaene D, Benamghar L, Touron C, Perrin PP, et al.
Contributions of occupational hazards and human factors in occupational injuries and their associations with job, age and type of injuries in railway workers. Int Arch Occup Environ Health 2007;80:517-25.
Salminen S. Have young workers more injuries than older ones? An international literature review. J Safety Res 2004;35:513-21.
Asakreh T, Jafari MJ. Determine unsafe behavior to safety behavior sampling and survey their relationship with some individual behaviors. Master's Thesis, Faculty of Health, Shahid Beheshti University of Medical Sciences; 2007.
Mohammadfam I, Ashtari M, Ziaee M. Unsafe Behavior among Employees of Conference on Industrial Safety Station, Health Professionals and Environmental Organizations. Isfahan; 2007.
Kirschenbaum A, Oigenblick L, Goldberg AI. Well being, work environment and work accidents. Soc Sci Med 2000;50:631-9.
Halvani GH, Jafarinodoushan R, Mirmohammadi SJ, Mehrparvar AH. A survey on occupational accidents among construction industry workers in Yazd city: Applying Time Series 2006-2011. J Occup Health Epidemiol 2012;1:1-8.
Li CY, Chen KR, Wu CH, Sung FC. Job stress and dissatisfaction in association with non-fatal injuries on the job in a cross-sectional sample of petrochemical workers. Occup Med (Lond) 2001;51:50-5.
Chen DW, Ren D. Behavior Based Safety (BBS) for accident prevention and positive study in construction enterprise. International Conference on Management Engineering and Management Innovation; 2015.
Fu G, Li X, Li J. The accident common cause and prevention strategy based on behavior. J Saf Environ 2005;5:80-3.
Brattig B, Schablon A, Nienhaus A, Peters C. Occupational accident and disease claims, work-related stress and job satisfaction of physiotherapists. J Occup Med Toxicol 2014;9:36.
Saberi HR, Moravveji AR, Naseh J. Occupational burnout among school teachers and some related factors in Kashan 2007. Iran South Med J 2011;14:41-50.
Asghari M, Zakrian A, Monazzam MR, Abbassinia M, Mohammadian Y, Rahmani A. The relationship between job satisfaction with general health and burnout workers in one of the automotive industries. Q J Occup Health Safety 2012;2:57.
Shokri R. The relationship between job burnout and occupational accidents in employees of industrial towns, Sirjan. J Psychol Res Sci Res 2016;2:52-69.
Khandan M, Kouhpaee A. The relationship between occupational burnout and safety and their relationship with accidents working in one of Iran's ports. J Sabzevar Univ Med Sci 2015;22:972-98.
Rossomanno CI, Herrick JE, Kirk SM, Kirk EP. A 6-month supervised employer-based minimal exercise program for police officers improves fitness. J Strength Cond Res 2012;26:2338-44.
Jenaro C. Correlates of Work-Related Accidents in the Northern Coast of North California. The 11th
European Congress of Psychology. Oslo, Norway; 2016.
Maslach C, Leiter MP. Early predictors of job burnout and engagement. J Appl Psychol 2008;93:498-512.
Diner E, Lucas RE. Explaining differences in societal levels of happiness: Relative standard, need fulfilment, culture, and evaluation theory. J Happiness Stud 2000;1:41-78.
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]