Tibbi-i-kar

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Introduction: Nowadays, air pollution, occupational and industrial harmful exposure caused the increasing prevalence of lung diseases. The pulmonary function testing such as spirometry plays an important role in the diagnosis and treatment of lung diseases. Due to the increasing use of the classification system in the prediction and detection based on the test samples, diagnosis the patients and non- patients according to their pulmonary performance without testing can be achieved relying on data-based prediction methods.

Method:In this study, a new method developed by fuzzy system was used to determine the restriction syndrome pulmonary disease to find workers in the tile industry. The fuzzy system designed considering the main factors affecting respiratory health in tile industry with the values of FVC and FEV1, which is the result of the spirometry test analysis in the workplace. These systems input include the staff occupational and environmental information, and the output is prediction of being sick or healthy.

Result: Among the used classification methods, the fuzzy method was achieved acceptable results because of the samples awarded degree in each cluster.According to the developed model in this study for predicting obstructive and restrictive pulmonary syndrome based on the analyzed test samples related to information of workers in 1394, the achieved accuracy was 0.71and 0.79, respectively.

Conclusion: Using the fuzzy systems for modeling and predicting on medical issues such as diagnosis the diseases recommended due to the appropriate performance of them in uncertain environment. The knowledge in fuzzy systems expressed as if-then rules, so the obtained knowledge is understandable by humans and can be refined by experts if necessary.

Keyword: Classification, Fuzzy, Fuzzy Rules, Spirometry

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Introduction: Diagnosis of various diseases in medicine is one of the area's most widely used data mining in recent years and many researches have been done about it. In this study, the diagnosis of prostate cancer using fuzzy system was assessed. The goal was to diagnose the prostate cancer and to predict the possibility of suffering from the disease.

Methods: In the proposed method, at first, based on available dataset, pre-processing and clustering operations were carried out. Then a zero-order Sugeno fuzzy system was designed for prediction. Each cluster, as the first item of a fuzzy rule, was considered and out of a rule, percentage of disease possibility in each cluster was considered. For each new sample, the membership degree to the each cluster was computed and then by combining outputs from each rule, possibility of disease in the sample was predicted. Finally, by having possibility and threshold for possibility, having or not having the disease for desired sample was diagnosed.

Results: The results showed that the system has good accuracy in predicting the possibility of disease.

Conclusion: The results of this study can be used to predict the risk of prostate cancer in young workers according to different jobs they are employed and the amount of exposure to risk factors in each job. If this possibility is high, they are known as the person at risk and in some cases there may need to change higher jobs.

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Introduction: Based on the results of some studies, concurrent exposure to organic solvents and noise in industrial areas can accelerate the amount of hearing loss. The aim of this study was to assess the effect of concurrent exposure to organic solvents and noise on high frequency hearing loss.

Method: This was a cross-sectional analytic study conducted on 1029 tire manufacturing company workers in 2013. After coordination with the factory authorities, required data including demographic, occupational and medical data and also audiometric records were derived from workers medical profile. Finally all gathered data were analyzed using SPSS version 13 software.

Results: After applying inclusion and exclusion criteria, 914 workers entered the study. The results of this study showed that, the workers including group 4 (workers exposed to impermissible levels of noise and organic solvents) had more severe high frequency hearing loss in comparison to group 1 (workers with no exposure to impermissible levels of noise and organic solvents) (OR= 1.74, 95% CI: 1.15-2.63) and the hearing loss was significant even after modification by logistic regression analysis.

Conclusion: Our study showed that the workers exposed to impermissible levels of noise and organic solvents had higher levels of high frequency hearing loss in comparison to workers with no exposure to impermissible levels of noise and organic solvents, thus we propose that workers with co-exposure to impermissible levels of organic solvents and noise may be benefited from shortening the interval between periodic audiometric evaluation.

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Introduction: The latest way to control the use of hearing protection devices is sound. The amount of time spent on the phone by workers is one of the most important parameters in hearing conservation programs. The aim of the study is to evaluate the effectiveness of training scenario in theoretical and practical ways to increase using the hearing protection devices for workers.

Materials and methods: In this experimental study, according to the results of the initial stage of the questionnaire, in the experimental group (n= 50) for 5 sessions (practical theory), each shown for 30 to 45 minutes, and workers in the control group (n= 50) in this study have not received any training, and time spent on the phone before and 3 months after intervention in both groups were recorded and compared.

Results: The results show that before intervention only 1 worker (2%) used the device for all time and after intervention 33 workers (66%), which reflect positive effect of training intervention on using the devices. All the conditions were the same for two groups the control group did not reflect significant changes due to lack of training program.

Conclusion: According to the findings, it can be said that the training scenario has been successful in increasing the use of hearing protection devices and also can be used in other health interventions.

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Introduction: Occupational hearing loss due to noise is completely preventable and using the hearing protection device is one of control proceedings by the workers expose the impermissible noise. Therefore, this study aimed to determine the effective factors on occupational hearing loss and also the effective factors on using hearing protective devices by the workers exposed to excessive noise.

Method: In this cross-sectional analytical study, 100 workers exposed to excessive noise were selected through sampling method. Data collection tools were a demographic information questionnaire and BASNEF model constructs, which its validity and reliability were confirmed. Audiometry was performed and recorded for each employee. Data were analyzed by SPSS software, version 19.

Results: The findings showed that the age and occupational history had a meaningful relationship to hearing threshold shift (p-value<0.05). There is no meaningful relation between martial statue and education level (p-value>0.05). Also, there was a meaningful relationship between education and duration of using the hearing protection device (p-value<0.05). There was no significat relationship between duration of using the hearing protection device with marital status, education level, job tenure and age (p-value>0.05).

Conclusion: The results show that there is a relation between the training of BASNEF model and duration of using the hearing protection device; so this training should be considered in hearing protective programs.

   

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Introduction: The development of Industries with its positive and valuable impacts is accompanied by unpleasant effects such as accidents. The main cause of accidents is unsafe acts are rooted in physical-mental conditions, stressors, safety training, safety culture and so on. The aim of this study was to investigate the relationship between incident, safety culture and personality traits steel workers and develop control measures and achieve the goal of zero accident is.
Materials and methods: The random sample of workers at a steel company in case-control study nested and matched in age and occupation without incident (130) and accidents (126), the safety culture and personality traits were compared with those in 2015. Valid and reliable questionnaire was used and Questions of each questionnaire with 60 questions. And can be used in various industries. Results were analyzed with SPSS21.
Results: 50.8% of the subjects of study with the average age of 36.9±7.83 and 10.67±6.55 years of work experience were placed in uninjured group and 49.2% of them with the average age of 36.1±7.08 and 9.56±6.5 years of work experience were placed in injured group. 5.39% of uninjured workers and 18.55% of injured ones had a negative safety culture. Work accident has a significant relationship with individuals’ safety culture, but it has no significant relationship with their shift work, occupation, marital status, second job, and educational level. The average rate of uninjured workers (226.66±28.71) and injured ones’ (212.07±30.86) safety culturehas been positive and higher than the average scale score (183). The one-way ANOVA shows that the relationship between accidents and neuroticism, conscientiousness and safety culture score is significant (P<0.05).
Conclusion:Characteristics of neuroticism and conscientiousness are the most important predictors of job performance and are involved in an accident. By studying the characteristics of individuals and organizations safety culture can be used to identify people prone to accident and moved them to safer jobs and improved organizational efficiency.
 

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Introduction: Musculoskeletal Disorders (MSDs) are among the most common occupational diseases, and ergonomics and occupational health engineering specialists need reliable and valid methods for assessing high-risk activities and the factors contributing to their occurrence.
Materials and Methods: In this cross-sectional study, 100 nurses employed at Namazi Hospital in Shiraz were randomly selected. Data was collected using a demographic/occupational questionnaire, Hierarchical Task Analysis (HTA), and the Ergonomics Screening and Prioritizing Tool (ESPT). Three observers simultaneously assessed the risk of developing MSDs for each job duty. After a six-month interval, the same observers re-evaluated the same group of nurses in the same work Postures. To assess the reliability of ESPT between and within observers, the Intra-class Correlation Coefficient (ICC) and the Kappa Multi-rater Fleiss method were used. Data analysis was conducted using SPSS software version 26.
Results: The results of the study showed a high agreement between each observer as well as between the three observers before and after six months. The ICC for observers 1, 2, and 3 were respectively 0.951, 0.947, and 0.927, and also between each of the three observers for the first and second time respectively 0.955 and 0.941.
Conclusion: The ESPT has been shown to possess high reliability for assessing the risk of developing MSDs among nurses, and it can be used for this purpose.