Protective effects of vitamins/antioxidants on occupational noise induced hearing loss: A systematic review

Journal article

Abbasi, M., Tokhi, M. O. and Pourrajab, B. (2021). Protective effects of vitamins/antioxidants on occupational noise induced hearing loss: A systematic review. Journal of Occupational Health. 63 (1), p. e12217. https://doi.org/10.1002/1348-9585.12217
AuthorsAbbasi, M., Tokhi, M. O. and Pourrajab, B.
Abstract

Objectives: Occupational noise-induced hearing loss (NIHL) due to industrial, military, and other job related noise exposure can cause harmful health issues to occupied workers, but may also be potentially preventable. Vitamins/antioxidant have been studied as therapeutic strategies to prevent and/or delay the risks of human diseases as well as NIHL. So, this study was conducted to systematically review the protective effects of vitamins/ antioxidants on occupational noise induced hearing loss.
Methods: Online databases including PubMed/Medline, Scopus, Web of Science, EMBASE, Science Direct, and Google Scholar were systematically searched up to 12.January 2021. Based on 6336 potentially relevant records identified through the initial search in the databases, twelve full-text publications were retrieved, one of which can be viewed as two separate trials, because it has studied the effects of two different antioxidants (Ginseng and NAC) on NIHL, separately.
Results: A review of the studies show that vitamin B12, folic acid, and N-acetylcysteine (NAC) have a considerable protective effect on NIHL. However, these protective effects are not yet specified in different frequencies. The findings regarding the protective effects of other antioxidants are inconsistent in this field.
Conclusion: Vitamin B12, folic acid, and NAC may have a protective effect as an antioxidant on reducing occupational hearing loss. For a conclusive evidence of vitamins/antioxidants protective therapies, future studies with precise criteria for noise exposure and similar outcome parameters are required.

KeywordsAntioxidants; NIHL; Occupational noise induced hearing loss; Vitamins
Year2021
JournalJournal of Occupational Health
Journal citation63 (1), p. e12217
PublisherJapan Society for Occupational Health/Nihon Sangyo Eisei Gakkai
ISSN1341-9145
Digital Object Identifier (DOI)https://doi.org/10.1002/1348-9585.12217
Publication dates
Print31 Mar 2021
Publication process dates
Accepted14 Feb 2021
Deposited19 Feb 2021
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Rezage, GA, Kasdirin, HA, Ali, SK and Tokhi, MO (2016). Invasive weed optimization algorithm optimized fuzzy logic scaling parameters in controlling a lower limb exoskeleton. 21st International Conference on methods and Models in Automation and Robotics (MMAR). Miedzyzdroje, Poland 29 Aug - 01 Sep 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 1116-1121 https://doi.org/10.1109/MMAR.2016.7575294
Tracking human upper-limb movements with sliding mode control type-II fuzzy logic
Ali, SK, Firdaus, AR, Tokhi, MO and Alrezage, G (2016). Tracking human upper-limb movements with sliding mode control type-II fuzzy logic. Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics (MMAR). Miedzyzdroje, Poland 29 Aug - 01 Sep 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 426-431 https://doi.org/10.1109/MMAR.2016.7575173
Advances in Cooperative Robotics
Tokhi, MO and Virk, GS (2016). Advances in Cooperative Robotics. 19th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines. Queen Mary University, London 12 - 14 Sep 2016 World Scientific Publishing Co. pp. v
Chaotic spiral dynamics optimization algorithm
Hashim, MR and Tokhi, MO (2016). Chaotic spiral dynamics optimization algorithm. The 19th International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines. Queen Mary University, London 12 - 14 Sep 2016 World Scientific Publishing Co. pp. 551-558
PD-fuzzy control of lower limb exoskeleton for elderly mobility
Alrezage, G, Alshatti, A and Tokhi, MO (2016). PD-fuzzy control of lower limb exoskeleton for elderly mobility. 19th International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines (CLAWAR 2016). London 12 - 14 Sep 2016 World Scientific Publishing Co. pp. 823-831
Simulation and control of multipurpose wheelchair for disabled/elderly mobility
Abdul Ghani, NM and Tokhi, MO (2016). Simulation and control of multipurpose wheelchair for disabled/elderly mobility. Integrated Computer-Aided Engineering. 23 (4), pp. 331-347. https://doi.org/10.3233/ICA-160526
Novel metaheuristic hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation
Nasir, ANK and Tokhi, MO (2015). Novel metaheuristic hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation. Applied Soft Computing . 27, pp. 357-375. https://doi.org/10.1016/j.asoc.2014.11.030
A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems
Nasir, ANK and Tokhi, MO (2014). A novel hybrid bacteria-chemotaxis spiral-dynamic algorithm with application to modelling of flexible systems. Engineering Applications of Artificial Intelligence. 33, pp. 31-46. https://doi.org/10.1016/j.engappai.2014.04.001
Modelling and control of a water-based system of multiple mobile robots for unmanned rescue
Sarker, MMH and Tokhi, MO (2012). Modelling and control of a water-based system of multiple mobile robots for unmanned rescue. The West Indian Journal of Engineering. 34 (1/2), pp. 30-38.
Control of a stair climbing wheelchair
Abdul Ghani, NM, Tokhi, MO, Nasir, ANK and Ahmad, S (2012). Control of a stair climbing wheelchair. IAES International Journal of Robotics and Automation (IJRA). 1 (4). https://doi.org/10.11591/ijra.v1i4.795
Optimized fuzzy control for natural trajectory based FES-swinging motion
Ibrahim, BSKK, Tokhi, MO, Huq, MS and Gharooni, SC (2011). Optimized fuzzy control for natural trajectory based FES-swinging motion. International Journal of Integrated Engineering. 3 (2), pp. 17-23.
Improving particle swarm optimization convergence with spread and momentum factors
Abd Latiff, I and Tokhi, MO (2011). Improving particle swarm optimization convergence with spread and momentum factors. International Journal of Computer Sciences and Engineering Systems. 5 (3), pp. 209-217.
ANFIS and neural network techniques for non-parametric modelling of a twin rotor system
Toha, SF and Tokhi, MO (2010). ANFIS and neural network techniques for non-parametric modelling of a twin rotor system. Systems Science. 36 (4), pp. 13-31.
A novel approach in development of dynamic muscle model for paraplegic with functional electrical stimulation
Jailani, R, Tokhi, MO, Gharooni, S and Hussain, Z (2009). A novel approach in development of dynamic muscle model for paraplegic with functional electrical stimulation. Journal of Engineering and Applied Sciences. 4 (4), pp. 272-276.
Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system
Jafferi, N and Tokhi, MO (2009). Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system. International Journal of Integrated Engineering. 1 (1), pp. 73-86.
Identification of active properties of knee joint using GA optimization
Ibrahim, BSKK, Huq, MS, Tokhi, MO, Gharooni, SC, Jailani, R and Hussain, Z (2009). Identification of active properties of knee joint using GA optimization. World Academy of Science, Engineering and Technology. 55, pp. 441-446.
Particle swarm optimisation algorithms and their application to controller design for flexible structure systems
Tokhi, MO and Alam, MS (2009). Particle swarm optimisation algorithms and their application to controller design for flexible structure systems. IST Transactions of Control Engineering-Theory and Applications. 1 (3(9)), pp. 12-25.
System identification of a twin rotor multi-input multi-output system using adaptive filters with pseudo random binary input
Alam, MS and Tokhi, MO (2008). System identification of a twin rotor multi-input multi-output system using adaptive filters with pseudo random binary input. The Dhaka University Journal of Science. 57 (2), pp. 131-136.
Dynamic modelling of a twin rotor system: a genetic algorithm optimisation approach
Alam, MS and Tokhi, MO (2008). Dynamic modelling of a twin rotor system: a genetic algorithm optimisation approach. The Dhaka University Journal of Science. 56 (2), pp. 183-187.
Augmented feedforward and feedback control scheme for input tracking and vibration control
Alam, MS, Aldebrez, FM and Tokhi, MO (2008). Augmented feedforward and feedback control scheme for input tracking and vibration control. The Dhaka University Journal of Science. 57 (1), pp. 67-70.
Genetic algorithm-based modeling and optimization of control parameters of an air motor
Marumo, RR and Tokhi, MO (2008). Genetic algorithm-based modeling and optimization of control parameters of an air motor. Journal of Intelligent Systems. 17 (Supplement), pp. 87-108. https://doi.org/10.1515/JISYS.2008.17.S1.87
Genetic algorithm optimization and control system design of flexible structures
Tokhi, MO, Md Zain, MZ, Alam, MS, Aldebrez, FM, Mohd Hashim, SZ and Mat Darus, IZ (2008). Genetic algorithm optimization and control system design of flexible structures. Journal of Intelligent Systems. 17 (Supplement), pp. 133-168. https://doi.org/10.1515/JISYS.2008.17.S1.133
Mobile robotics moves forward on standardisation
Tokhi, MO (2007). Mobile robotics moves forward on standardisation. Industrial Robot: An International Journal. 34 (2). https://doi.org/10.1108/ir.2007.04934baa.002
Modelling and simulation of an air motor system using extended radial basis algorithm
Marumo, R and Tokhi, MO (2007). Modelling and simulation of an air motor system using extended radial basis algorithm. Botswana Journal of Technology. 16 (1), pp. 16-25.
GA-based neural fuzzy control of flexible-link manipulators
Siddique, MNH and Tokhi, MO (2006). GA-based neural fuzzy control of flexible-link manipulators. Engineering Letters. 13 (2), pp. 148-157.
Performance Of Hybrid Learning Control With Input Shaping For Input Tracking And Vibration Suppression Of A Flexible Manipulator
Md. Zain, MZ, Tokhi, MO and Mohamed, Z (2006). Performance Of Hybrid Learning Control With Input Shaping For Input Tracking And Vibration Suppression Of A Flexible Manipulator. Jurnal Teknologi. 44 (1). https://doi.org/10.11113/jt.v44.353
Modelling, simulation and proportional integral control of a pneumatic motor
Marumo, R and Tokhi, MO (2006). Modelling, simulation and proportional integral control of a pneumatic motor. Engineering Letters. 13 (2), pp. 185-194.
Real-time design constraints in implementing active vibration control algorithms
Hossain, MA and Tokhi, MO (2006). Real-time design constraints in implementing active vibration control algorithms. International Journal of Automation and Computing. 3 (3), pp. 252-262. https://doi.org/10.1007/s11633-006-0252-0
Intelligent methods for active noise and vibration control
Tokhi, M O (2004). Intelligent methods for active noise and vibration control. Archives of Acoustics. 29 (2), pp. 259-273.
Genetic modelling and simulation of flexible structures
Mohd Hashim, SZ and Tokhi, MO (2004). Genetic modelling and simulation of flexible structures. Studies in Informatics and Control. 13 (4), pp. 253-264.
Improving performance in single-link flexible manipulator using hybrid learning control
Md Zain, MZ, Tokhi, MO, Mailah, M and Mohamed, Z (2004). Improving performance in single-link flexible manipulator using hybrid learning control. Jurnal Mekanikal. 18, pp. 13-28.
Dynamic modelling and open-loop control of a two-degree-of-freedom twin-rotor multi-input multi-output system
Ahmad, SM, Chipperfield, AJ and Tokhi, MO (2004). Dynamic modelling and open-loop control of a two-degree-of-freedom twin-rotor multi-input multi-output system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 218 (6), pp. 451-463. https://doi.org/10.1243/0959651052010089
Adaptive active control of noise and vibration
Tokhi, MO (2003). Adaptive active control of noise and vibration. Archives of Control Sciences. 13 (2), pp. 117-139.
Genetic algorithms based adaptive active vibration control of a flexible plate structure
Mat Darus, IZ and Tokhi, MO (2003). Genetic algorithms based adaptive active vibration control of a flexible plate structure. Systems Science. 29 (3), pp. 65-79.
Vibration control of pitch movement using command shaping techniques– Experimental investigation
Aldebrez, FM and Tokhi, MO (2003). Vibration control of pitch movement using command shaping techniques– Experimental investigation. Systems Science. 29 (2), pp. 129-143. https://doi.org/10.1109/ETFA.2003.1247741
Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system
Ahmad, SM, Chipperfield, AJ and Tokhi, MO (2003). Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 217 (3), pp. 203-227. https://doi.org/10.1243/095965103765832885
Active noise and vibration control–Part I
Tokhi, M O and Figwer, J (2003). Active noise and vibration control–Part I. Archives of Control Sciences. 13 (2).
Active noise and vibration control–Part II
Figwer, J and Tokhi, MO (2003). Active noise and vibration control–Part II. Archives of Control Sciences. 13 (3).
Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system
Ahmad, SM, Chipperfield, AJ and Tokhi, MO (2003). Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 217 (3), pp. 203-227. https://doi.org/10.1243/095965103765832885
Dynamic modelling of a single-link flexible manipulator: Parametric and non-parametric approaches
Shaheed, MH and Tokhi, MO (2002). Dynamic modelling of a single-link flexible manipulator: Parametric and non-parametric approaches. Robotica. 20 (1), pp. 93-109. https://doi.org/10.1017/s0263574701003678