Noise as one of the most common hazardous physical agents in the work environment causes physical and psychological problems in occupied workers. This study aims to investigate the relationship of demographic variables and noise exposure with mental disorder and work ability index in automotive industry workers. This study aims to investigate the effect of noise exposure on mental disorder and work ability index among industry workers. In this descriptive-analytic study, 325 individuals working in auto parts supplier industry who were exposed to different level of noises were investigated. Personnel’s daily exposure to noise for each group was measured based on ISO-9612 standards using calibrated sound level meter model SVANTEK-971. Workers’ mental disorder and work ability index were determined using Kessler Psychological Distress Scale questionnaire and shortened form of work ability index, respectively. Then, collected data were analyzed using SPSS-22. The mean and standard deviation of mental disorder and work ability index for all employees was 23.46 ± 3.45 and 37.43 ± 6.14, respectively. The results of one-way ANOVA and linear regression analysis showed that there is a significant association between noise exposure with mental disorder and work ability index in term of age groups, working groups, and work experience ( p-value < .05). Regardless the effect of other variables, it can be stated that for each dB increase in noise exposure cause mental disorder increase by 0.32 and work ability index decrease by 0.157. And among the demographic variables, age was the most influential parameter on mental health and work ability index. According to the results of this study, noise exposure could lead to increased psychological distress and decreased work ability index in workers. The ability to work directly and indirectly through mental disorders can be affected by exposure to industrial noise. Considering severe exposure to noise in some units and the negative impact of noise exposure on mental health and work ability index, it is necessary to improve of controlling and protective measures against noise.

Introduction: Noise is one of the most harmful physical factors in the workplace that can cause annoyance. Therefore, the aim of this study was to investigate the effect of annoyance caused by occupational noise on employee's mental distress.Materials and Methods: This analytical-descriptive study was performed on 325 employees of the parts manufacturing industry in seven groups and the noise dose received for each group was measured by a dosimeter using ISO9612 standard. Then, psychosis was determined using the Kessler psychosis scale and the degree of annoyance in the face of noise in the face of noise by the standard method of ISO15666 as an individual evaluation with a one-question scale of 11 Likert options.Results: The results indicated that there was a positive and significant relationship between the received sound dose and noise annoyance (P <0.05). In addition, the dose received from the sound can justify 72.2% of the variable response changes, i.e. the amount of voice annoyance alone. Also, the results of the simultaneous study of four variables of age, work experience, voice exposure and voice annoyance on the state of mental distress using multiple regression indicated that these 4 variables predicted 42% of changes in mental distress. And the main variable influencing psychological distress is voice annoyance (P <0.05). Conclusion:Occupational noise through noise annoyance harassment can affect the mental health of people working in industry and harassment can act as a mediator due to job noise causing mental distress in people working in industry.

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administrative stress (ROSA) were used. Results:The results of the study showed that the highest prevalence of pain or discomfort in a recent year was in the shoulder (50%) and leg (50%). The evaluation by ROSA method showed that 34% of the subjects were in the area of need for ergonomic intervention. Remarkebly, there was also a significant relationship between the final score of ROSA and the three main parts of the ergonomic checklist (P<0.05). Conclusion:Given the association between prevalence of musculoskeletal disorders and workplace ergonomic risk factors, control measures should be taken to improve risk factors.