%0 Journal Article
%T Validating the effectiveness of a self-report tool to predict unsafe behavior of industrial workers: a QEEG analysis
%J International journal of occupational safety and ergonomics
%D 2024
%A Shakerian, Mahnaz
%A Nami, Mohammad
%A Jahangiri, Mehdi
%A Hasanzadeh, Jafar
%A Alimohammadlou, Moslem
%A Choobineh, Alireza
%V ePub
%N ePub
%P ePub-ePub
%X OBJECTIVEs. Unsafe behavior (UB) is defined as the likelihood of intentionally or unintentionally deviating from pre-defined plans. This study aims to investigate the validation of a self-report tool for measuring workers' cognitive-based UB using quantitative electroencephalography (QEEG). <br><br>METHODS. The cognitive-based unsafe behavior questionnaire (CUBQ) was completed by 632 front-line workers in a manufacturing industry to identify differences in the backgrounds of the subjects regarding UBs. Two groups were then selected as extreme groups and QEEG was conducted based on the international 10-20 electrode placement. <br><br>RESULTS. The mean values of absolute power (AP), alpha/beta ratio (ABR) and alpha/gamma ratio (AGR) from brain oscillations in different regions of the cortex were significantly different between the studied groups (p < 0.05). Additionally, these values were found to be significantly correlated with slips, lapses and mistakes, as measured by certain scales of the CUBQ (p < 0.05). <br><br>CONCLUSIONS. The findings of this study indicated differences in brain oscillation activities among industrial workers with different UB backgrounds. These results confirm the effectiveness of CUBQ as a proactive tool for safety practitioners to predict industrial workers' UBs.<p /> <p>Language: en</p>
%G en
%I Informa - Taylor and Francis Group
%@ 1080-3548
%U http://dx.doi.org/10.1080/10803548.2024.2330249