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Introduction: With respect to increase of job stress and disease that arise from stress in work environments, purpose of this study was investigated job stressors as predictors of psychosomatic symptoms at staff of a company in Ahwaz.
 Materials & methods: The research method of this study was descriptive-correlational kind. Statistical population comprised of all personnel of a company in Ahwaz who worked at 1392. The sample consisted of 202employees, who were selected by simple random sampling method. The instruments that apply at this study consist of: negative act, effort-reward imbalance, job content, work-family conflict, organizational justice, psychosomatic symptoms in nonclinical context questionnaires. In order to analyze research hypothesis, regression analysis and Pearson correlation, and to validity analysis, Pearson correlation and confirmatory factor analysis were used. Findings: Results of Pearson correlation indicated that support and organizational justice had a significant negative relationship with psychosomatic symptoms and effort-reward imbalance, overcommitment, job strain, work-family conflict and bullying had a significant positive relationship with psychosomatic symptoms. Results of regression analysis indicated that predictive variables were able to predict 0/41% of psychosomatic symptoms variance and workplace bullying over commitment and work-family conflict were the best predictors of psychosomatic symptoms at staff.
 Discussion & Conclusion: With respect to the results, variables that apply at this study, special variables that had a great role should be regarded at schedules to reduce job ills and increase of staff health.

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Introduction: Low-frequency noise, even at low levels, is annoying and affects the physiological function of individuals. Some individual differences, such as sensitivity to noise, can reduce or increase the effect of noise on physiological parameters. The purpose of this study was to investigate the effect of individual sensitivity on physiological parameters in the presence of low-frequency noise.
 
Materials & Methods: This is an interventional study. 120 subjects were selected through targeted sampling (60 high sensitivity and 60 low sensitivity). By simulating the real environment of each person, they were exposed to 50, 60, and 70 dB of noise. Before and after exposure, the mean body temperature, skin temperature, heart rate, blood pressure, and oxygen content was measured and recorded. Data were analyzed using the SPSS20 software package, independent t-test, and paired T-test.
Code of ethics: IR.umsha.REC.1395.457
 
Findings: The results showed that low-frequency noise negatively affects physiological parameters and increases physiological parameters by increasing the noise level from 50 to 70 dB (P<0.05). Investigating the combined effect of individual sensitivity to noise and gender showed that physiological parameters are more affected in women and people with high sensitivity (P<0.05).
 
Discussion & Conclusions: Considering that high blood pressure is closely related to cardiovascular disease, the use of people who are more tolerant to noise (low sensitivity) in areas where exposure to noise is higher than the safe limit can prevent cardiac complications.