Showing 2 results for Bidel
Younes Mehrifar, Zohreh Mohebian, Hamideh Bidel,
Volume 10, Issue 2 (5-2020)
Abstract
Introduction: Risk identification and investigation is an appropriate and practical approach for the occupational health professionals. This paper aims to determine exposure to the gases and metal fumes and to perform risk analysis in three common types of welding activities in a shipbuilding industry.
Material and method: This analytical cross-sectional study was conducted in a shipbuilding industry and three types of welding were considered including SMAW, MIG and MAG welding. Sampling of Mn and Cr fumes was carried out using NIOSH 7300 standard method, and NIOSH 6014 method NO2 sampling, and also direct reading devices for CO and O3 gases. Moreover, SQCRA risk assessment method was adopted to specify the level of exposure risk.
Results: The results of risk analysis showed that among gas pollutants, O3 and NO2 in all welding processes had a very high-risk level, while among the metal pollutants; Mn metal showed a high and very high risk level in MIG and SMAW welding.
Conclusion: According to the both sampling results and risk analysis, MIG process welders are more dangerous position than other types of welding.
Rohollah Fallah Madvari, Hamideh Bidel, Hadis Ghajari, Zahra Jegari, Fatema Babaee, Milad Abbasi,
Volume 15, Issue 3 (10-2025)
Abstract
Introduction: Workplace noise is one of the main sources of health problems. Noise can have many direct and indirect effects that threaten human health in various ways. The aim of this study was to investigate the effect of noise annoyance on anxiety among workers.
Material and Methods: This study included 60 workers from a carton manufacturing company, who were divided into two groups based on noise exposure: exposure (noise level more than 85 dB) and control (noise level less than 85 dB). Noise exposure of the individuals at the workplace was measured in accordance with ISO 9612:2009 standard and using a TES-1354 dosimeter. Anxiety levels were assessed using the Spielberger Anxiety Inventory (STAI), and noise annoyance was measured using a 100-point visual analog scale. Statistical analysis was performed using STATA statistical software.
Results: The mean age and work experience of the study subjects were 35.78 and 10.78 years, respectively. The results indicated a statistically significant difference (P-value < 0.05) in the mean noise annoyance scores between the groups. The mean noise annoyance score in the exposed group was significantly higher (88.03) than in the non-exposed group (47.6). The average anxiety scores in the exposure and control groups were 106.81 and 101.6, respectively. In addition, regression analysis showed that each unit increase in noise annoyance level resulted in a 1.08-fold increase in anxiety in the exposed group.
Conclusion: Noise annoyance is often the most common psychological response to noise exposure and can be a predictor of many mental disorders or illnesses, including anxiety. Therefore, it is important to implement control measures to reduce noise exposure in the workplace.
