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Showing 4 results for Gholami

Tahereh Gholami, Ahmad Heidari Pahlavian, Mehdi Akbarzadeh, Majid Motamedzade, Rashid Heidari Moghadam,
Volume 3, Issue 3 (Journal of Ergonomics 2015)
Abstract

Introduction: As workplaces, hospitals are filled with stressors, including environmental and physical stressors (such as noise pollution and poor lighting), human stressors (such as conflicts with colleagues) and organizational stressors (such as heavy workloads and unsuitable work shifts). The inability to cope with these stressors entails physical, psychological and behavioral outcomes for the employees. The present study was conducted to evaluate job stress in nursing personnel and to design a model for assessing the severity of musculoskeletal disorders caused by job stress among nurses.

Materials and Methods: The present cross-sectional analytical study was conducted on 500 nurses working in various teaching hospitals of Hamadan. Data were collected through four questionnaires, including the Job Content Questionnaire, Maslach’s Burnout Inventory, the Visual Analogue Scale and a Demographic Questionnaire. Data were then analyzed in SPSS-16 and LISREL-8.3 using descriptive statistics.

Results: The results of the structural equation modeling showed that job burnout has a mediating effect between the severity of musculoskeletal disorders and job stress. In other words, if factors contributing to job burnout are present, the psychosocial risk factors yielded by the Job Content Questionnaire then contribute to the severity of musculoskeletal disorders.

Conclusion: Given the negative effects of job stress among nurses, health decision-makers are recommended to take measures to reduce stressors such as the physical and psychological demands of the workplace, the lack of support and the lack of job security.


Mortaza Gholami, Amir Kavousi, Mahnaz Saremi,
Volume 4, Issue 2 (Journal of Ergonomics 2016)
Abstract

Introduction: Nursing in hospitals, because of the nature of the work, is a job in which work-related musculoskeletal disorders are highly prevalent. The main cause of musculoskeletal disorder amongst nursing staff is the movement of patients. The aim of this study was to evaluate the risk of musculoskeletal disorders caused by movement of patients in nursing staff of a hospital affiliated with the Allah University of Medical Sciences.

Methods: This cross-sectional study was conducted on 325 nurses from 30 wards of Baqiyatallah hospital during summer 2015. Data were collected using demographic and Body map Musculoskeletal Disorders Questionnaires and PTAI index checklist. Statistical analysis was performed using the SPSS software version 16.

Results: Some musculoskeletal symptoms had been experienced during the last 12 months by 78.3% of the nursing personnel. The results indicated that PTAI index score was significantly associated with musculoskeletal disorders occurrence (P < 0.05)

Conclusions: According to the findings, PTAI is an appropriate tool for musculoskeletal disorders risk identification and assessment due to patient handling in nursing personnel.


Tahereh Gholami, Najmeh Rahnavard, Marziyeh Sadeghzadeh, Sepideh Tahmtan,
Volume 6, Issue 2 (Journal of Ergonomics 2018)
Abstract

Introduction: Musculoskeletal disorders are major problems among hospital staff. One of the most important reasons for these disorders are patient handling tasks and psychosocial stressors. The aim of this study was to investigate the risk of musculoskeletal disorders and psychosocial stressors caused by patients handling among nurse aids.
Materials & Methods: This cross-sectional study was carried out among 56 nurse aids of Fasa University of Medical Sciences in 2017. The data were collected via Nordic questionnaire, MAPO index checklist and job content questionnaire. Descriptive statistics were used to describe the variables and the Chi-square test for analyzing the data.
Results: The results showed that the highest prevalence of musculoskeletal disorders was in the lower back (71.4%) and the least in the thigh and neck area (46.4%). The results of MAPO index for risk of musculoskeletal disorders showed that 9 out of 12 sections (63.2%) were in the 2nd level. Also, the average score of the dimensions of the psychological job demands and the physical job demands are high and the average score of social support is low, which indicates high stress. Also, the physical job demands (P=0.035), social support (P=0.002) and job insecurity (P=0.001) were related to the levels of MAPO risks.
Conclusion: According to the findings of the study, the prevalence of lower back pain is high and nurse aids experience many psychosocial stressors in their job life. So the training of ergonomic principles and the use of auxiliary equipment during the transport of patients, as well as the reduction of stressors such as the psychological and physical job demand and the lack of social support and job insecurity by authorities, the risk of musculoskeletal disorders can be reduced.

 

Fakhradin Ghasemi, Kamran Gholamizadeh, Amin Doosti-Irani, Rahmani Ramin,
Volume 6, Issue 4 ( Iranian Journal of Ergonomics 2019)
Abstract

Background and Objectives: Upper extremities are very vulnerable to work-related musculoskeletal disorders and selecting the best technique for assessing their exposure to ergonomic risk factors is of pivotal importance. This study aimed to compare two techniques of SI and ACGIH-HAL and assess their relationship with carpal tunnel syndrome (CTS) among butchers.
Methods: The study population was all butchers in Hamadan, Iran. After observing the activities, the assessments were conducted using both techniques. The severity of CTS syndromes was assessed using Boston questionnaire. The agreement between the techniques was investigated using Kappa coefficient. The association between the risk levels obtained from the techniques with the severity of CTS syndromes were assessed by regression analysis and fixing the effect of personal factors such as age, body mass index, and wrist ratio index.
Results: a total number of 152 butchers were evaluated. SI and ACGIH-HAL techniques respectively recognized 76 and 102 cases as low risk (agreement in 69 cases), 40 and 27 cases as moderate risk (agreement in 8 cases), and 36 and 23 cases as high risk (agreement in 18 cases). The Kappa coefficient between two techniques was 0.36 (P<0.001). By fixing the effects of age, body mass index, and wrist ratio index, both techniques had significant association with the severity of CTS syndromes. However, the association between SI and severity of CTS syndrome was higher than that of ACGIH-HAL.
Conclusion: SI had a higher estimate of risk than ACGIH-HAL. It seems that the predictive ability of SI for the severity of CTS syndrome is better than that of ACGIH-HAL.


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