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Showing 4 results for Fouladi Dehaghi
Mental Fatigue Assessment using recording Brain Signals: Electroencephalography
Behzad Fouladi Dehaghi, Abbas Mohammadi, Leila Nematpour,
Volume 7, Issue 2 (Iranian Journal of Ergonomics 2019)
Abstract

Background and Objectives: Mental fatigue is a condition triggered by prolonged cognitive activity. Mental fatigue causes brain over-activity. This is a condition where the brain cells become exhausted, hampering person productivity, and overall cognitive function. The aim of this study was to assess students’ mental fatigue using brain indices.
Methods: The present descriptive - analytic study has been conducted on 20 students of the Faculty of Health mean age (SD) of 24.40 (3.73) years old in Ahwaz University of Medical Sciences (2019). To assess the performance of the participants, they were asked to study a text with spelling errors and correct those errors. This activity was performed in five stages, each lasting 15 min and EEG was recorded at all stages, and at each stage, the visual analog scale was completed by participants. Data analysis was done by SPSS 24.
Results: The results showed that the activity of alpha, beta, and theta signals in the first 15 minutes was 0.89±0.30, 0.70±0.33, and 1.19±0.36, and the last 15 minutes, 0.63±0.34, 0.55±0.26, and 1.03±0.34 respectively. Reducing the activity of the signals indicated there has been an increase in the amount of mental fatigue in individuals. Also, using visual analog scale, the individuals have acknowledged that they have experienced symptoms of mental fatigue. Finally, there was no significant relationship between students’ EEG and visual analog scale.
Conclusion: The results showed that alpha, beta and theta indices could be suitable indicators for evaluating mental fatigue. Also, mental fatigue can be one of the factors that affect the accuracy and performance of individuals, so that it can reduce their attention and efficiency.


 


Investigating the Effects of Workload, Fatigue, Sleep Quality and Posture on Musculoskeletal Disorders in Workers in the Steel Industry
Atefeh Elyasi Gomari, Behzad Fouladi Dehaghi, Saeed Ghanbari, Abbas Mohammadi,
Volume 11, Issue 3 (Iranian Journal of Ergonomics 2023)
Abstract
Objectives: Musculoskeletal disorders (MSDs) are widespread and important health and social problems in industrialised society, reducing productivity, increasing treatment costs and affecting the quality of life of workers. The present study was conducted with the aim of investigating the effects of workload, fatigue, sleep quality and physical condition on musculoskeletal disorders among workers in the steel industry.
Methods: The present study is a descriptive and analytical study conducted on a population of 540 workers working in the steel industry in the city of Dezful. Based on simple random sampling, 400 people were selected as samples. The instruments used in this study are the Demographic Information Questionnaire, the Cornell Musculoskeletal Disorders Questionnaire (CMDQ), the Swedish Occupational Fatigue Inventory(SOFI), the Pittsburgh Sleep Quality (PSQI) and the NASA-TLX workload index. The Rapid Entire Body Assessment (REBA) was used. Descriptive statistical indices were used to analyze the data, and the relationships between observed and hidden variables were examined using structural equation modeling (SEM) The data were analyzed at a significance level of 0.05 and in SPSS software version 25.
Results: According to the prevalence of musculoskeletal disorders, back pain ranked first with a mean and standard deviation of 52.39±25.44 and knee pain ranked second with a mean and standard deviation of 46.46±26.45, indicating that the prevalence of these disorders is high among steel industry workers. The results of the correlation analysis showed that there is a positive and significant relationship between workload, fatigue, sleep quality and body condition and musculoskeletal disorders (p<0.05). The RMSEA index of less than 0.1 shows that the model proposed in this study fits well and demonstrates the role of workload variables, fatigue, sleep quality and body position in the direct and indirect causation of musculoskeletal disorders.
Conclusion: The results of this study show that improving workplace ergonomics, reducing workload and fatigue, and improving sleep quality can reduce the likelihood of musculoskeletal disorders in workers.

Assessment of Cargo Handling Ergonomics in One of the Airports of Iran
Abbas Mohammadi, Behzad Fouladi Dehaghi, Fatemeh Assadian, Saeed Ghanbari,
Volume 11, Issue 4 (Iranian Journal of Ergonomics 2024)
Abstract
Objectives: Cargo workers at Ahvaz Airport in Ahvaz, Iran are at risk of musculoskeletal disorders. In this regard, the present study aimed to investigate their carrying out tasks and postures.
Methods: In this descriptive-analytical study, the census method was used to select 21 cargo workers in Ahvaz Airport. Task analysis was carried out by Hierarchical Task Analysis (HTA) and Quick Exposure Check (QEC). Moreover, the Manual Handling Assessment Charts were used to evaluate the manual load. The tools employed in this study included observation, photography, and a Cornell Musculoskeletal Disorder Questionnaire (CMQD) questionnaire. Statistical calculations were performed in SPSS (version 16) and Spearman's correlation coefficient for the variables.
Results: Each of the cargo workers of Ahvaz airport moves an average of 400 bags per shift. Spearman's correlation coefficient showed a significant relationship between musculoskeletal disorders and the variables of age, height, and Body Mass Index with values of 0.002, 0.005, and 0.003, respectively. The QEC method was used to observe the worst postures with a numerical score between 50 and 70, which were related to the standing posture at the flat roller and the sitting posture in the aircraft cargo. The examination of the CMQD questionnaire revealed that 61.6%, 65%, and 62% of diseases were related to shoulder, arm, and back, respectively.
Conclusion: After job analysis by the HTA method and evaluation of the results through the QEC method, it was determined that loading and arranging luggage in the cart and cargo were the most risky tasks. Both the MAC and QEC methods also indicated the necessity of an immediate change in the process of moving luggage.

Examining the Prevalence of Musculoskeletal Problems Related to Mobile Phone Usage and Providing Corrective Solutions to Dental Students of Jundishapur University of Medical Sciences, Ahvaz
Behzad Fouladi Dehaghi, Abbas Mohammadi, Marzieh Sadeghian, Maryam Tayebi, Azarnoosh Aryankia, Saeed Ghanbari,
Volume 12, Issue 1 (Iranian Journal of Ergonomics 2024)
Abstract
Objectives: The present study aimed to assess the prevalence of musculoskeletal problems related to mobile phone usage and provide corrective solutions for dental students of Jundishapur University of Medical Sciences, Ahvaz.
Methods: The current study was conducted based on an analytical cross-sectional design. In order to collect relevant data, such as the presence of pain in the upper limbs, back, and neck, questionnaires and instrumental methods were used. Students were examined in two groups: the first group included 150 dental students up to the 4th semester, and the second group encompassed 150 dental students from the 5th semester onwards (3rd, 8th, 5th, and 6th year). Data collection instruments were demographic characteristic form, nomophobia questionnaire (NMP-Q), neck disability index (NDI), and Cornell hand discomfort questionnaire (CHDQ).
Results: According to the results of the present study, the prevalence of nomophobia among dental students of Jundishapur University of Medical Sciences in Ahvaz was at an average level. The mean  NDI score was 16.20, and the mean pain score among the students was 1.72. Moreover, 46.5% of students had pain in the hand area, and the highest amount of pain was reported in the F area. The mean score of Cornell's musculoskeletal disorders was reported as 2.72.
Conclusion: Examining the relationship between the pain area and the year of entry to the university demonstrated a significant relationship between the year of entry to the university and the pain area. In this regard, the incoming students 2021-22 had the greatest amount of pain. According to the results of the corrective intervention on skeletal disorders in the wrist and neck region, the mean scores of the variables increased significantly after the intervention and corrective measures.

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