Showing 3 results for Vosoughi
Shahram Vosoughi, Mohammad Hossein Chalak, Sajjad Rostamzadeh, Manouchehr Jahanpanah, Hossein Ebrahimi,
Volume 10, Issue 2 (5-2020)
Abstract
Introduction: Fall from height is one of the main causes of death in the construction workers. Therefore, this study aimed to identify and prioritize the factors affecting falls from height accidents in construction industry.
Material and method: A descriptive-analytical study was conducted on five constructional projects in Pars Jonoobi industrial region, Iran. All of the reported events from 2011 to 2015 were investigated and 74 out of 377 occupational accidents were considered as falls from height accidents. The identified factors and sub-factors were divided into 3 main factors including individual, organizational and environmental factors and 14 sub-factors based on the experts’ opinion. Then, AHP method was used to determine and prioritize of the factors and sub-factors.
Results: The results of hierarchical analysis of fall from height accidents causes showed that environmental, individual, and organizational factors with weights of 0.359, 0.351, and 0.290 were in the first, second, third priorities, respectively. Meanwhile, among all examined sub-factors, work platform elevation, mental/ occupational stresses and safety culture had the highest priority.
Conclusion: Paying attention to the strategies that enhance the safety culture of employees and reduce their occupational stress levels in the workplace can be very effective in preventing of fall from height accidents.
Shahram Vosoughi, Kourosh Sarvari, Mohammad Hossein Chalak, Mohammad Khandan, Sajjad Rostamzadeh,
Volume 10, Issue 3 (8-2020)
Abstract
Introduction: Safety is a significant part of the public transportation. Suitable safety climate has a positive effect on safety performance and reduces accidents rate. The aim of this study was investigating safety climate status of Tehran subway drivers in 2013.
Material and method: The present study was a descriptive and cross-sectional study. In this study, statistical population was all drivers of 1, 2 and 4 lines of Tehran Urban & Suburban Railway Operation company. Also, a questionnaire arranged by one of our researcher was used to collect demographics data of subjects. Safety climate was also investigated using standard Vinod Kumar's questionnaire. Data were analyzed by descriptive statistics and T-Student and ANOVA tests using SPSS21 software.
Results: Overall, 293 questionnaires were analyzed. Among the participants, 38.8% were line 1 derivers, 31.1% line 2 drivers and 33.1% line 4 drivers. The mean and standard deviation of the safety climate was 146.53±49.44, which is less than 147 (median). The results indicated that safety climate had a relation with the age group and education levels (P<0.01), while had no significant relationship with the deriving experience, and also marital status (P>0.05).
Conclusion: Safety climate status among subway drivers is not desirable. Among the various factors, commitment and performance of management in the safety area had the weakest status. Strengthening the structure of the health, Safety and Environment (HSE) management system in the Tehran Urban and Suburban Railway Operation company can enhance the level of safety climate among staff of this organization.
Iraj Alimohammadi, Athena Rafieepour, Leila Hosseini Shafiei, Mohammadreza Vafa, Nargess Moghadasi, Shahram Vosoughi, Jamileh Abolghasemi, Rana Ghasemi,
Volume 14, Issue 2 (6-2024)
Abstract
Introduction: Obesity and overweight are major global health challenges. One of the bad effects of noise that has been recently expressed is the effect of noise on obesity. This study aimed to investigate the effect of high-frequency noise exposure on obesity, food intake, and abdominal visceral fat in adult male guinea pigs.
Material and Methods: The animals in this study were 24 adult male guinea pigs randomly divided into 3 groups (control and two case groups). Each case group was separately exposed to high- frequency white noise with sound pressure levels in 65 dB and 85 dB for 5 days per week in 30 days. The food intake was measured daily. The weight of animals was measured at the start and on days 6, 12, 18, 24, and at the end of exposure period. The abdominal visceral fat was extracted and weighted at the end of the study period. The data were assessed using SPSS V.22 software.
Results: ANOVA analysis showed that exposure to high-frequency noise at 65dB and 85dB had a significant effect on weight gain, food intake, and abdominal visceral fat weight (P-value< 0.05) which in the group exposed to the noise with 65 dB was more than other groups.
Conclusion: Based on this study, exposure to high-frequency noise may be an effective factor in obesity and increasing abdominal visceral fat. Further studies are needed to investigate the mechanism affecting weight status following noise exposure.
