Relationship between occupational stress and cardiovascular diseases risk factors in drivers.

OBJECTIVES: Of all work stressors, occupational stress is the leading cause of many disorders among workers. Drivers are classified as a high risk group for work related stress. This study set out to determine the relationship between risk factors of cardiovascular diseases and occupational stress among drivers. MATERIAL AND METHODS: Two hundred and twenty two Ilam's intercity drivers were selected for the study. For measuring work stress, the Osipow work stress questionnaire was used. After a 10-h fasting period, systolic and diastolic blood pressure was recorded. Intravenous blood samples were taken to determine cholesterol, triglyceride and blood glucose levels. The independent samples t-test and Pearson's correlation test were used to assess the relationship between variables and occupational stress. RESULTS: Seventy-one percent of the intercity drivers suffered from average to acute stress, and 3.1% of them suffered from acute stress. There was no significant relationship between occupational stress and diastolic blood pressure (p = 0.254) among the drivers. Nevertheless, the Pearson's correlation test demonstrated a strong relationship between work stress and blood glucose (p < 0.01), while no strong correlation was found for blood triglycerides and cholesterol levels. CONCLUSIONS: Based on the results, high rates of occupational stress were observed in the Ilam's intercity drivers. Occupational stress may have effect on blood glucose levels but the results did not suggest a considerable relationship between risk factors of cardiovascular diseases and occupational stress among intercity drivers. Int J Occup Med Environ Health 2016;29(6):895-901.

Survey of accidents in suburban Tehran and the prediction of future events based on a time-series model.

BACKGROUND: Car accidents are currently a social issue globally because they result in the deaths of many people. The aim of this study was to examine traffic accidents in suburban Tehran and forecast the number of future accidents using a time-series model. METHODS: The sample population of this cross-sectional study was all traffic accidents that caused death and physical injuries in suburban Tehran in 2010 and 2011, as registered by the Tehran Emergency Section. In the present study, Minitab 15 software was used to provide a description of traffic accidents in suburban Tehran for the specified time period as well as those that occurred during April 2012. RESULTS: The results indicated that the average number of traffic accidents in suburban Tehran per day in 2010 was 7.91 with a standard deviation of 7.70. This figure for 2011 was 6 daily traffic accidents with a standard deviation of 5.30. A one-way analysis of variance indicated that the average of traffic accidents in suburban Tehran was different for different months of the year (P = 0.000). The study results showed that different seasons in 2010 and 2011 had significantly different numbers of traffic accidents (P < 0.05). Through an auto-regressive moving average (ARMA), it was predicted that there would be 166 traffic accidents in April 2012 with a mean of 5.53 and maximum of 6 traffic accidents/day. CONCLUSION: There has been a decreasing trend in the average number of traffic accidents per day.

Use of the Finnish method to quantify the ergonomic properties in an office environment among the workplaces in an Electricity Distribution Company in West Tehran Province.

BACKGROUND: The workplace plays an important role in workers' performances, but most workplaces have not been designed and equipped in keeping with primary ergonomic principles. Ignoring these principles can cause ergonomic risk factors, difficulties for workers, and damage to workers' health. The aim of this study was to identify acceptable ergonomic properties in workplaces in order to determine and investigate the aspects of workstations that cause occupational discomfort. To accomplish this aim, we used the Finish method to evaluate workstations in an electricity distribution company in Tehran. METHODS: This cross sectional study was conducted for all of the workstations in an electrical power distribution company using the census method. The desired information was collected through objective observation using the Finish checklist of ergonomic issues in the workplace. Then, we used SPSS version 16 to analyze the information. RESULTS: In 11.2% of the workstations, none of the ergonomic principles was considered, so workers' bodied were not situated appropriately while they were working. In 31% of the cases, lighting ranged between 10% and 50% of the recommended amount, and some of the workers appeared to be in a slight daze. In 42.3% of the cases, the temperature in the workplace was in the range of 25 to 27°C. In 42.3 and 52.3% of the cases, ratings of noise were 2 and 3, respectively, indicating that the noise levels were 60-70 dB and 70-80 dB, respectively. CONCLUSION: The findings of this study can be used to determine ergonomic deficiencies in workstations so they can be resolved. Based on our investigation, it was found that the workstations, first and foremost, had significant defects in terms of work components. Furthermore, there were some irritating problems concerning noise and concerning comfort levels related to the high temperature.

Determination of Job Stresses and Their Consequences in Drivers in Ilam.

BACKGROUND: Human factors cause 60-70 percent of automobile accidents. Everything related to people that is involved in and interacting with a system is considered to be a human factor. These factors can be psychological, biological, or social, and all of them can affect drivers' behaviors. Therefore, one of the negative and unfavorable effects of these factors is that they cause accidents. According to previous research, increases in the job stresses result in increases in the incidence of car accidents. Drivers who feel stressed often do not to observe the rules, and they may not even notice the warning signs. By measuring the job stress among drivers and its adverse effects, this research aimed to provide an appropriate managerial solution to reduce these problems. METHODS: The sample in this descriptive-analytical study consisted of 250 drivers who were selected and investigated. A job stress questionnaire was used as a means for collecting data. Health conditions were assessed by referring to clinical documents provided for the drivers. Accident data were included in the study using accident-related documentation. Two hundred and fifty drivers from Ilam, Iran participated and were analyzed in this study. This research is a cross-sectional study that was performed by dossiers and personal memoirs. Data were analyzed by SPSS16 and the chi-squared test. RESULTS: The study showed that the main factors that cause medium- to high-level stress are the physical environment, workload and ambiguity of duties. It also showed that the incidence and severity of accidents increased as stress levels increased. CONCLUSION: This study shows high prevalence of job stress amongst drivers in Ilam. The main causes of the prevalence of stress among drivers in Ilam City are physical environment, workload and ambiguity of duties, responsibility.

Survey and comparison of sleep quality among fixed and changing shift staff in a steel factory in Tehran, Iran.

BACKGROUND: Given the hazardous nature of the work in steel factories and that the staff has to deal with hazardous equipment and machines, improper sleep quality and drowsiness among the works tackles performance and boosts rate of job accidents. This study is aimed to survey the quality of sleep and sleepiness status and the pertinent factors among the workers in a rolling mill and a steel production company in Tehran, Iran. METHODS: In a Cross-Sectional study 2011, 180 workers were selected randomly from a rolling mill and a steel production company in Tehran. A questionnaire was designed to collect demographic data and variables of work condition. Pitersborg's sleep quality questionnaire was used to survey quality and problems of Participants' sleep. Epworth Sleepiness questionnaire was used to deals with sleepiness during work, studying, watching TV, or during time spent in public. RESULTS: Average score of sleep quality for the fixed shift staff and changing shift staff were 7.5±2.82 and 8.49±2.95 respectively. Surveys of sleep quality for the two groups of the participants based on T-test showed a significant difference between the two groups so that the changing shift staff group suffered poorer sleep quality (p=0.03). Comparison of average drowsiness scores between the two groups of participants based on Mann-Whitney test showed no significant difference (p>0.005). Chi square test showed a significant difference between severity of drowsiness and type of working shift (p =0.028 and 0.009). CONCLUSION: Staff in revolving shifts suffers poor sleep quality comparing with staff with fixed working shift. Moreover, type of working shift greatly affects severity of drowsiness as staff at different work shift experienced different level of sleepiness. It is essential to survey sleep disorder of the staff in the industry and pay more emphasis on sleep disorder epidemic in other fields of industry.

Investigation of Occupational Stress and its Relationship with the Demographic Characteristics of Workers in Ilam, Iran.

BACKGROUND: Workers are more susceptible to stress disorder for several reasons. The aim of this study was to investigate occupational stress among workers and other personnel at the ZardjinBaft Workshop in Ilam, Iran, and to examine the relationship between occupational stress and several parameters, such as age, gender, marital status, educational level, work experience, tobacco use, body mass index (BMI), and the type of work. METHOD: This was a descriptive, cross-sectional study that was performed in June 2010. The sample population that was studied consisted of all of the workers and other personnel (130 people) at ZardjinBaft Workshop in Ilam, Iran. They were studied using Cooper's standard questionnaire for stress in the work environment, and we examined the relationship between stress, as the dependent variable, and the eight independent variables mentioned in the Abstract. RESULTS: In the sample population that was studied, severe stress was not observed in most of the sections of the workshop. In addition, using the analysis of variance test (ANOVA), no significant relationship was observed between the average degree of stress and the average demographic characteristics. However, the average stress level had significant relationships with the level of education, work experience, and the type of work, suggesting that stress increases as the level of education increases. In addition, in the beginning and early years of employment, medium levels of stress were observed, and the prevalence of stress decreased after the first 10 years of employment. In addition, workers in the ventilation section of the factory had the highest stress levels. The fear of losing their jobs was the main factor that caused stress among the workers at ZardjinBaft Workshop in Ilam. CONCLUSION: We suggest that managers consider the high importance of stress in the work environment. They should be able to recognize when workers are stressed and offer them assistance and training. They also can eliminate the factors that cause stress in the work environment by taking preventive action. In parallel, workers should try to interact well with their managers and talk to her or him about the conditions of their jobs.

Review the number of accidents in Tehran over a two-year period and prediction of the number of events based on a time-series model.

BACKGROUND: One of the significant dangers that threaten people's lives is the increased risk of accidents. Annually, more than 1.3 million people die around the world as a result of accidents, and it has been estimated that approximately 300 deaths occur daily due to traffic accidents in the world with more than 50% of that number being people who were not even passengers in the cars. The aim of this study was to examine traffic accidents in Tehran and forecast the number of future accidents using a time-series model. METHODS: The study was a cross-sectional study that was conducted in 2011. The sample population was all traffic accidents that caused death and physical injuries in Tehran in 2010 and 2011, as registered in the Tehran Emergency ward. The present study used Minitab 15 software to provide a description of accidents in Tehran for the specified time period as well as those that occurred during April 2012. RESULTS: The results indicated that the average number of daily traffic accidents in Tehran in 2010 was 187 with a standard deviation of 83.6. In 2011, there was an average of 180 daily traffic accidents with a standard deviation of 39.5. One-way analysis of variance indicated that the average number of accidents in the city was different for different months of the year (P < 0.05). Most of the accidents occurred in March, July, August, and September. Thus, more accidents occurred in the summer than in the other seasons. The number of accidents was predicted based on an auto-regressive, moving average (ARMA) for April 2012. The number of accidents displayed a seasonal trend. The prediction of the number of accidents in the city during April of 2012 indicated that a total of 4,459 accidents would occur with mean of 149 accidents per day during these three months. CONCLUSION: The number of accidents in Tehran displayed a seasonal trend, and the number of accidents was different for different seasons of the year.