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Showing 2 results for Palyzban
A Ghanbary Sartang , F Palyzban , M Abedi , H Shovkati, S Sadeghi,
Volume 6, Issue 3 (Summer 2017)
Abstract
Background: Heat stress in the steel industry is considered as a serious threat to the health and safety of workers. A wide spectrum of complications and diseases from mild disorders such as burning sensation to fatal conditions such as thermal shock may occur due to uncontrolled thermal stress. In this study, heat stress assessment was performed according to the wet-bulb globe temperature (WBGT) index among workers of a steel mill in 2014.
Materials and Methods: In this cross-sectional study, 11 stations of a steel mill were selected in which occupational exposure to heat stress was possible. The WBGT index was used to measure heat stress. The collected data were analyzed using descriptive statistics in SPSS software.
Results: The results showed that the highest exposure to heat stress was in the rolled operator unit (31.5 °C) and the least exposure to heat stress was in the main operator room (18.52 °C). Personnel working in the poker furnace operator, lift operator, ruffing operator, wrench operator, rolling work operator, scissors operator, and lathe operator units were exposed to higher heat stress than the threshold limit value for heat exposure recommended by the American Conference of Governmental Industrial Hygienists (ACGIH).
Conclusions: The findings of this study showed that steel mill workers are exposed to heat stress and the heat conservation planning intervention action should be conducted to reduce exposure.
Mahbobbeh Abedi, Aioob Ghanbary, Ehsanollah Habibi, Feizollah Palyzban, Hamed Ghasemi, Ali Abbas Hasani2,
Volume 7, Issue 4 (Autumn 2018)
Abstract
Background: Job back pain is of the most common occupational injuries in the world that affects people's physical and mental health. The purpose of this study was to assess back compressive force (BCF) in manual handling tasks among workers of a chemical manufacturing company using the UTAH method.
Materials and Methods: This descriptive study was carried out on a group of 35 workers doing manual handling tasks in a chemical factory that were selected through simple random sampling in April and May 2018. The data collected by UTAH method and Cornell questionnaire, were analyzed in SPSS 19. Descriptive and inferential statistics methods including analysis of variance (ANOVA) were applied.
Results: The average BCF value calculated using the UTAH method showed that the load pressure on back for the jobs of repair unit (400 kg), discharge and loading unit (460 kg), and warehouse unit (370 kg) exceeded the standard limits. Moreover, the results of the Cornell questionnaire indicated that 68 percent (N = 24) of the workers in the mentioned occupations were suffering from lower back pain.
Conclusion: The findings of this study showed that the UTAH method is useful for estimating the BCF in manual handling tasks. Interventions should be conducted and measures should be taken to reduce these disorders.
