Open AccessAssessing the Mental Workload of staff in a Bank in Hamadan by NASA-TLX Method
Author(s) -
Zohreh Bakhshi,
Majid Motamedzade,
Maryam Farhadian
Publication year - 2021
Publication title -
bihdāsht-i kār va irtiqā-yi salāmat/bihdāsht-i kār va irtiqā-yi salāmat
Language(s) - English
Resource type - Journals
eISSN - 2588-3062
pISSN - 2588-2643
DOI - 10.18502/ohhp.v5i1.6211
Subject(s) - workload , marital status , descriptive statistics , overtime , dimension (graph theory) , mental health , standard deviation , psychology , work (physics) , statistics , operations management , applied psychology , medicine , demography , engineering , computer science , mathematics , environmental health , psychiatry , population , political science , sociology , mechanical engineering , pure mathematics , law , operating system
Introduction: Mental workload is one of the effective factors on the performance and efficiency of people working in an organization that put their health at risk. The aim of this study was to determine the mental workload of staffa working in a bank in Hamadan City of Iran by NASA-TLX method.
Methods: In this cross-sectional study, 110 bank employees were surveyed. The data were collected using demographic and NASA-TLX questionnaires. Finally, collected data were analyzed using SPSS version 21 by running descriptive statistics and statistical tests.
Results: According to the participants, the mean and standard deviation of effort and mental demand, as the most important dimensions were 81.04 ± 14.51 and 79.50 ± 18.05, respectively. The performance dimension was selected as the least important dimension with the mean and standard deviation of 64.37 ± 10.17. The results of statistical analysis showed no significant relationship between the participants' total score of mental workload and their demographic information such as age, gender, educational level, marital status, experience, and work overtime(P>0.05). The Pearson correlation coefficient showed that age (P<0.05) and work experience (P<0.01) had a significant and inverse relationship with temporal demand dimension .
Conclusion: Based on the findings, the mean of perceived mental workload of bank employees was high. Therefore, effective programs should be conducted to mitigate and reduce the mental workload and to promote mental health of bank employees.