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Showing 3 results for Kouhnavard

Zahra Zamanian, Bahram Kouhnavard , Bahram Maleki, Fatemeh Ashrafi, Leyla Ahmadvand, Parisa Azad,
Volume 3, Issue 2 (Journal of Ergonomics 2015)
Abstract

Introduction: As a healthcare providing establishment, hospitals can be affected by sources of noise pollution which then impose negative effects on the health and comfort of patients and personnel. The present study was conducted to determine the relationship between sound annoyance and general health in the personnel of university affiliated and non-university affiliated hospitals in Shiraz.

Materials and Methods: The present descriptive analytical study was conducted in four university affiliated and non-university affiliated hospitals in Shiraz with a sample size of 300 using a predetermined equation and according to the results of previous studies. The instruments used in the study included the General Health Questionnaire (GHQ), the Noise Annoyance Scale (NAS) and an audiometer (CEL-440 model).

Findings: The present study found a small inverse relationship between the total general health score in the hospital personnel and the sound pressure level at university-affiliated hospitals (r=-0.103) and a direct positive relationship at non-university affiliated hospitals (r=0.274), which were not statistically significant (P≤0.05). The relationship of somatic symptoms, anxiety, insomnia, social dysfunction and depression to sound pressure was inverse and small (r=-0.195 and P≥0.05). However, there was a direct positive relationship between general health and sound annoyance (r=0.266 and P≤0.05).Conclusion: According to the results obtained, noise levels are higher than the acceptable exposure limit in university-affiliated hospitals, which affect both the patients' and the personnel's general health, necessitating the adoption of control measures.


Zahra Zamanian, Marziyeh Roshan Sarvestani, Mitra Sedaghati, Mahnaz Ghatmiri, Bahram Kouhnavard,
Volume 3, Issue 4 (Journal of Ergonomics 2016)
Abstract

Introduction: Faculty and staff are the pillars of any university. Any impairment in the function of these elements would undoubtedly decrease the quality of education and training services provided. The present study aimed to assess the relationship between subjective workload and job satisfaction in faculty and staff members of universities of medical sciences and universities affiliated to the Ministry of Science, Research, and Technology.

Materials and Methods: This descriptive-analytical study recruited 164 faculty and staff members. Data were collected using a demographic questionnaire, NASA Task Load Index (NASA TLX), and the Job Description Index (JDI). One-way analysis of variance (ANOVA) was applied to analyze the data.

Findings: The participants’ workload had no significant effects on their job satisfaction. Faculty members generally had a heavier workload and lower level of job satisfaction compared to staff members. Moreover, faculty of universities of medical sciences had higher workload and lower levels of job satisfaction (14.5% vs. 30.76%) in comparison to faculty of universities affiliated to the Ministry of Science, Research, and Technology. Moreover, 14.5% of the medical faculty members and 30.76% of science faculty members were satisfied with their jobs. Overall, job satisfaction and workload were not significantly related with demographic characteristics and job features of the participants.

Conclusion: Among the various subscales of workload, faculty members reported high levels of subjective pressure, time pressure, and effort. Therefore, further studies are required to identify the causes of such pressures and introduce measures for their reduction or elimination.


Seyed Abolfazl Zakerian, - Bahram Kouhnavard,
Volume 9, Issue 3 (Iranian Journal of Ergonomics 2021)
Abstract

Background and Objectives: Electroencephalography is one of the non-invasive and relatively inexpensive methods that can be used to evaluate neurophysiology and cognitive functions. This systematic review study was performed with the aim of using electroencephalography (EEG) in ergonomics.
Methods: In this review study, all articles published in Persian and English on the application of electroencephalography (EEG) in ergonomics from March 20, 2010 to March 21, 2021 were reviewed. For this purpose, a systematic search of articles was performed using the keywords cognitive ergonomics, mental fatigue, electroencephalography, EEG and brain waves in the databases of PubMed, Google Scholar, Web of science, SID, Scopus, Magiran Iran Medex.
Results: Most studies were conducted between 2015 and 2020 (41 papers) and most of the subjects were car drivers. Selected articles were reviewed in seven areas of mental fatigue, mental workload, mental effort, visual fatigue, working memory load, emotions, stress, and error diagnosis. The journal Perceptual and Motor Skills, followed by Applied Ergonomics, published the largest number of related articles.
Conclusion: In the reviewed articles, the assessment of a person's mental states, especially when driving a vehicle, has been further studied and through it, tracking, monitoring and various tasks of working memory have been followed. Future research should focus on the use of computational methods that take into account the dynamic and unstable nature of EEG data. Such an approach could facilitate the development of fatigue detection systems and automated adaptive systems.


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