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Background: Chronic exposure to whole body vibration can affect the gastrointestinal system, the lumbar spine, the peripheral veins and the vestibulocochlear system. Aims/Objectives: The aim of this study was to evaluate the effects of vibration on the vestibular system in noisy and noise-free environments using the video head impulse test (vHIT). Material and Methods: A total of 138 employees were included in this study. Group 1 were exposed to vibration and noise. Group 2 only exposed to vibration, with no exposure to noise. Group 3 were not exposed to noise or vibration. Results: Canal deficit was observed in 41 of 84 participants in Group 1, 7 of 24 participants in Group 2, and 1 of 30 participants in Group 3. There were more canal deficits in Group 1 and Group 2, than in Group 3 ( p  < .05). There was no significant difference between Group 1 and Group 2 in terms of canal deficits ( p  > 0.05). Conclusions and Significance: Semicircular canal deficit can be seen with the synergistic effect of noise and vibration.

Objectives: This study aimed to determine which machine learning model is most suitable for predicting noise-induced hearing loss and the effect of tinnitus on the models' accuracy. Methods: Two hundred workers employed in a metal industry were selected for this study and tested using pure tone audiometry. Their occupational exposure histories were collected, analysed and used to create a dataset. Eighty per cent of the data collected was used to train six machine learning models and the remaining 20 per cent was used to test the models. Results: Eight workers (40.5 per cent) had bilaterally normal hearing and 119 (59.5 per cent) had hearing loss. Tinnitus was the second most important indicator after age for noise-induced hearing loss. The support vector machine was the best-performing algorithm, with 90 per cent accuracy, 91 per cent F1 score, 95 per cent precision and 88 per cent recall. Conclusion: The use of tinnitus as a risk factor in the support vector machine model may increase the success of occupational health and safety programmes. [ABSTRACT FROM AUTHOR]

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