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The Impact of Mental Workload Levels on Physiological and Subjective Responses
Majid Fallahi, Majid Motamedzade, Zahra Sharifi, Rashid Heidari Moghaddam, Alireza Soltanian,
Volume 4, Issue 3 (Journal of Ergonomics 2016)
Abstract

Introduction: Advances in technology and the use of complex systems at work have imposed high mental workloads to operators; so, continuous monitoring of mental workload can help to prevent mental problems and maintain mental health. Therefore, this study aimed to investigate the impact of mental workload on physiological and subjective responses.

Methods: This cross-sectional descriptive-analytical study was performed on 16 healthy university students in 2014 at a laboratory setting. Physiological parameters of surface electromyography and electrocardiography in six blocks (resting, high mental work, moderate, low, very low and recovery) were measured using NeXus-4. After performing each block, the NASA-TLX questionnaire was completed. Statistical analysis was conducted using SPSS software version 21.0. A 5% significance level was adopted in all the tests.

Results: The results showed significant differences for the average score of NASA-TLX between the different levels of mental work load (P < 0.05). Also, the analysis of repeated measures variance showed significant differences for heart rate and heart rate variability parameters in the six blocks (P < 0.05), but no significant difference was observed for the shoulder muscles activity.

Conclusions: Different levels of mental work load can impact on people's subjective responses and some of their physiological responses. Thus, in such workplaces, it will be necessary to conduct an ergonomic program to manage mental health.


Comprehensive Fall Prevention Strategies in Elderly: A Systematic Review
Neda Ghasemi, Mohamadhossein Nabian, Hossein Fallah, Morteza Ghasemi, Amirmohamad Najafipour,
Volume 12, Issue 3 (Iranian Journal of Ergonomics 2024)
Abstract
Objectives: Falls are one of the leading causes of injury in the elderly; therefore, prevention and early intervention seem essential. Given the importance of examining and identifying factors affecting falls and the lack of such studies, it is essential to conduct this research to investigate the factors influencing falls in older adults in developing countries, with an emphasis on safety and ergonomics.
Methods: A review method was used to conduct this study. Articles from 2019 to 2024 were found using the keywords: "Fall risk factor," "Safety," "Elderly," "Fall prevention," "Home safety," and "Urban safety" on PubMed, Science Direct, and Google Scholar websites.
Results: After a total of 1,154 publications were located, 523 were chosen based on their titles, 120 were examined based on their abstracts, and 51 were chosen whose full texts were available in English. Many elements, including psychological, physical, and cognitive characteristics, ergonomic and safety tools, awareness and education, social factors, and urban services, were examined in the publications about falls among the elderly.
Conclusion: The risk factors for falls in the elderly were taken into account in this study by classifying external variables and internal factors, all of which had an impact on falls in the elderly. The results indicate that few studies have simultaneously assessed multiple factors. Therefore, it is recommended that future studies examine multiple factors concurrently, considering the impact of awareness factors.

Correlation between Subscales of Mental Workload and Physical and Mental Dimensions of Chronic Fatigue in Small Industries and Related Jobs
Rohollah Fallah Madvari, Reyhane Sefidkar, Reza Raeisi,
Volume 12, Issue 3 (Iranian Journal of Ergonomics 2024)
Abstract
Objectives: Mental workload and chronic fatigue in the workplace are challenges that affect employees' capabilities and health. The aim of this study is to examine the correlation between the subscales of mental workload and various physical and mental dimensions of chronic fatigue in small industries and related jobs.
Methods: This descriptive-analytical cross-sectional study was conducted on employees of small industries in Eghlid with a sample size of 247 participants. Data were collected using three questionnaires: demographic information, NASA-TLX, and Chalder fatigue scale. For data analysis, Spearman's correlation test and SPSS software were used.
Results: The results showed significant differences between marital status, age groups, and work experience across different occupations, while no significant differences were found based on education level. The highest mean score of the mental workload subscales was related to the physical demand subscale, while the lowest was related to the frustration subscale. Significant differences were observed in the scores of mental workload subscales across different job categories, but no significant differences were found in the scores of physical and mental fatigue dimensions across job types. All mental workload subscales, except for performance, had a direct correlation with physical and mental fatigue dimensions, while the performance subscale showed an inverse relationship.
Conclusion: The findings of this study emphasize the importance of a more precise understanding of the relationship between mental workload and fatigue in workplace environments and could contribute to improving working conditions and the quality of life for employees in small industries.

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