Evaluation of Noise Pollution on Audio-acuity among Sawmill Workers in Nnewi Metropolis, Anambra State, Nigeria

Evaluation of Noise Pollution on Audio-acuity among Sawmill Workers in Nnewi Metropolis, Anambra State, Nigeria

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Abstract

Noise pollution from occupation has gained ground in recent times, with its significant effect seen in auditory function. The study’s aim is to determine the level of noise pollution and Audio Acuity among sawmill workers. A descriptive cross-sectional study was employed using a convenient sample technique and a sample size of 100, comprising 50 sawmill workers who work at Nnewi Sawmill and 50 students of the College of Health Sciences, Nnewi Campus. An amplivox-116 audiometer was used to ascertain the audio acuity and a noise meter to measure the noise level. Data obtained were subjected to SPSS version 25 (IBM, USA, 2018), and analyzed using independent t-test and Pearson correlation, and values were significant at p

I. INTRODUCTION

Noise pollution is a significant issue affecting modern society, which has detrimental impact on the auditory system and other physiological parameters; however, noise-induced hearing loss is preventable; once acquired, hearing loss is permanent and irreversible (1). Noise is a sound or signal generated by random fluctuations or an unwanted part of an unpleasant signal to the ear (2). Noise exposure and its rate are different according to the personal and environmental features; but depend on individual characteristics such as age, work experience, race, and nutritional status (3,4). In addition, noise exposure can cause social and psychological problems (1,5), resulting in a negative impact on the physiological function of the auditory pathway and others systems. Exposure to high noise levels, especially at workplaces, has been a global concern as strong evidence links them with some high-ranking health challenges (6). Symptoms of short or long periods of noise exposure include auditory effects such as auditory fatigue and hearing loss, indirect non-auditory effects such as speech interference, annoyance, lowered mental peace, task performance, and several psychological changes (6–8).

The cochlea has a significant role in auditory transduction that takes place in the inner ear; which creates a tonotopic map by the chirality of the cochlea enabling interpretation of the vast amount of different sounds simultaneously through vibrations carried from the perilymph to the endolymph in the cochlear duct (9,10). Reports have shown that noise exposure above 85-decibels or a more extended period of exposure greater than eight hours results in cochlear damage and could affect the loss of hair cells in the cochlea. Although, hair loss in the cochlea results in the inability of afferent nerves stimulation, which brings about low differentiation of sound of distinct frequencies (10,11). Noise pollution of different sources causes Meniere disease, resulting from the dysregulation of aquaporin channels and osmotic disequilibrium involving the production of endolymph from perilymph through the Reissner membrane and stria-vascularis (11–13). One of the significant setbacks of occupational noise-induced hearing loss is the loss of auditory sensory cells in the cochlea (14). However, these hair cells cannot regenerate in mammals, and no diminution can occur. The only preference to preserve hearing loss is to abstain from the exposure to noise-induced hearing loss sources such as high sound above 90-decibels (15,16). The inability to understand speech in our everyday lives can have a severe social effect, a dominant characteristic of hearing loss. It could affect cognitive performance and decrease attention to tasks (4,17).

A report has shown that exposure to occupational noise for a more extended period (14-years) is known to cause hearing impairment; however, a period of 4-8 years among sawmill workers results in the development of hearing impairment (18). Exposure to prolonged or excessive noise results in a range of health problems such as anxiety, meagre concentration, decline productivity at office even in classrooms, communication difficulties and fatigue from lack of sleep, to more severe issues such as cardiovascular disease, cognitive impairment, tinnitus and hearing loss (4). Therefore, the study investigates and obtains evidence of the influence and consequences of exposure to sawmill noise on audio acuity.

II. MATERIALS AND METHOD

Study Design: A descriptive cross-sectional survey-experimental design, which involved the use of well-structured health and lifestyle questionnaire, a noise meter to check the level of the noise in the environment, an audiometer to test for the audio acuteness of the subjects.

Ethical Approval: An ethical approval consent was obtained from the Faculty of Basic Medical Science, College of Health Science, Nnewi Campus, with reference number NAU/CHS/NC/FMBS/376.

Data Collection and Technique: A convenient sampling method was employed in the subject selection of 100 participants, and they were within the ages of 18 to 45- years. A health and lifestyle questionnaire was administered to ascertain the volunteers' suitability for the research study; however, anthropometric variables of these individuals were determined using a stadiometer. A total of 100 subjects were employed, and the participants were assigned into groups of two as follows: Group A, which comprised of 50 individuals who worked at the Sawmill, formed the study group, and Group B comprised of 50 students of the college that made up the control group. A well-structured Health and Life Questionnaire containing information such as sex, age, history of hearing problem, duration of the noise exposure was administered before the commencement of the audio acuity test. Those with a history of hearing problems were exempted from this study.

Audio acuity assessment: The audiometer was used for this study. Instructions were given to the subjects concerning the test procedures, and were required to indicate whether they could hear or not hear a sound at different sound levels.

Data Analysis: Data was analyzed using SPSS version 25(IBM, USA, 2018), and data obtained was subjected to inferential statistics (Independent T-test and Pearson Correlation), and values were considered significant at p<0.05.

III. RESULTS Table 1: Baseline Characteristics of Participants

VariablesGroupMEAN±STDP-valueT-value
Age (Years)Control22.04±2.480.00*-12.26
Test Group33.02±5.82
Weight (kg)Control67.48±12.060.11-1.63
Test Group71.02±9.48
Height (m)Control1.61±0.110.35-0.92
Test Group1.63±0.07
Body Mass Index (kg/m2)Control25.35±3.490.16-1.41
Test Group26.47±4.43

Table 1 results revealed Test group had a higher p < 0.05 significant age than control group. Furthermore, weight, height, and BMI showed a higher non-significance p > 0.05 between Test group than Control.

Table 2: Comparison of audio acuity and noise level among Study and Control group
VariablesGroupMEAN±STDP-valueT-value
Right Ear Audiometer (dB)Control8.98±3.270.00*-30.98
Test Group35.74±5.15
Left Ear Audiometer (dB)Control9.28±3.200.00*-31.02
Test Group35.72±5.10
Noise level (dB)Control43.00±0.000.00*0.15
Test Group100.00±0.00

Table 2 result showed that right and Left ear audiometric test and noise level revealed test group had a higher significance than control.

Table 3: Correlation between duration of work, age, and audio acuity of left and right ear audio-acuity among sawmill workers
Right Ear Audio- acuity (dB)Left Ear Audio- acuity (dB)Age (Years)
Work durationPearson Correlation0.827**0.767**0.475**
p-value0.0000.0000.000
N505050

IV. Discussion

Noise is any unwanted or disturbing sound that is a persistent pollutant in modern society resulting from noise occurring from recreational, environmental, or occupational sources leading to noise-induced hearing loss, a common type of acquired hearing loss (19). However, noise exposure at moderate levels can induce a temporary shift in hearing thresholds. It is caused by reversible damage to the stereocilia of hair cells. However, exposure to loud noise leads to a permanent loss in hearing thresholds due to irreversible damage to cochlear hair cells (20,21). A report revealed that high-intensity noise above-recommended limits of 70dB could initiate some work-related health challenges, including noise-related ailments such as headaches and hearing impairments(7). Noise-Induced Hearing Loss is an irreversible but preventable disorder (22).

The current study findings showed a significant p < 0.05 difference between the audio acuity between the left and right ear between the study and control group; however, the mechanism of action results from the interference of louder noise greater than 100dB. The physiology for the loss of hearing impairment is attributed to an outer hair cell loss, reduced blood flow in the basal region, rupture of tight cell junctions, excitotoxicity of cranial nerve VIII fibers, cochlear synaptopathy, or loss of inner hair cells and cranial nerve VIII fibers (20,23), which result from persistent noise more significant than the standard threshold of noise. Further, our study's findings have an alignment with the findings of (24), who reported a significant difference p < 0.05 between the study group and control group of the audio acuity in both ears when compared. It indicates that prolonged exposure high level of noise above the standard threshold could affect the hearing acuity leading from mild to moderate hearing loss, resulting from a decreased sensitivity of hair cells situated in the inner ear. The study report of (25,26) is aligned with this study findings, revealing hearing loss on the right and left ears among the test groups.

The resulting study showed a significant correlation between the duration of work and age and audio acuity among sawmill workers. In addition, there is a significant association between ages and audio precision of both ears. The possible mechanism of action is associated with a shift in a progressive increase in auditory thresholds, mainly in the high-frequency range (27), which results in sensory loss, which affects sleep, concentration, mood, and quality of life as a minor annoyance (25,28). Another mechanism involved is excess stimulation of the hair cells when the ear is exposed to excessive sound levels or loud sounds over time. It leads generation of reactive oxygen species, such as superoxide and hydroxyl anion radicals, resulting in oxidative cell death (22,27). Our study has similarity with the report of (18), who revealed that noise-induced hearing impairment was correlated with work duration, which has significance. Jain et al. (22) report also aligned with our study result with hearing impairment increased to exposure of occupational noise (p=0.000). The report of (25,29) showed that workers with long years of service were positively associated with hearing loss, corroborated with our study findings. Furthermore, reports from (22,27,29,30) have alignment with our study report revealing a significant association between age and audio acuity of sawmill workers.

V. CONCLUSION AND RECOMMENDATION

In conclusion, the study revealed that audiometric results of both left and right ear of sawmill workers compared to control had a significant increase, indicating hearing impairment. In addition, hearing loss is associated with age and work duration, which negatively affects the audio acuity of sawmill workers. Therefore, it is recommended that considering the results of the above experiments, noise above 100dB is detrimental and can result in hearing impairments. The use of ear muffs among the sawmill workers will help to minimize the intensity of the noise, thereby reducing the risk of hearing impairment.

ACKNOWLEDGMENT

The authors reveal their profound gratitude to Professor Ed Nwobodo, Department of Human Physiology, Nnamdi Azikiwe University, Nnewi Campus, Nnewi, Anambra State, Nigeria, for the enormous effort towards the attainment of this research.

Conflict of interest

The authors have no competing interest.

References

30 Cites in Article
  1. M Mohammadizadeh,S Ahmadi,E Sekhavati,K Ahani-Jegar (2015). Noise pollution effect in flour factory on workers' hearing in Lamerd City.
  2. M Reybrouck,P Podlipniak,D Welch (2019). Music and Noise: Same or Different? What Our Body Tells Us.
  3. Thomas Münzel,Frank Schmidt,Sebastian Steven,Johannes Herzog,Andreas Daiber,Mette Sørensen (2018). Environmental Noise and the Cardiovascular System.
  4. Mathias Basner,Wolfgang Babisch,Adrian Davis,Mark Brink,Charlotte Clark,Sabine Janssen,Stephen Stansfeld (2014). Auditory and non-auditory effects of noise on health.
  5. P Nasiri,M Zare,F Golbabaee (2007). Sound power levels of noise sources.
  6. Christa Themann,Elizabeth Masterson (2019). Occupational noise exposure: A review of its effects, epidemiology, and impact with recommendations for reducing its burden.
  7. A Aremu,A Aremu,D Olukanni (2014). Assessment of Noise Pollution From Sawmill Activities in Ilorin, Nigeria.
  8. Sunday Oyedepo (2013). Development of noise map for Ilorin metropolis, Nigeria.
  9. Rebecca Lim,Alan Brichta (2016). Anatomical and physiological development of the human inner ear.
  10. J Casale,P Kandle,I Murray,N Murr (2021). VALIDITY CHECKING OF PROVENANCE DATA FROM SOFTWARE DEVELOPMENT PROCESSES.
  11. C Foster,R Breeze (2013). Endolymphatic hydrops in Ménière's disease: cause, consequence, or epiphenomenon?.
  12. Tohru Yoshioka,Manabu Sakakibara (2013). Physical aspects of sensory transduction on seeing, hearing and smelling.
  13. D Pender (2014). Endolymphatic hydrops and Ménière's disease: a lesion meta-analysis.
  14. K-H Chen,S-B Su,K-T Chen (2020). An overview of occupational noise-induced hearing loss among workers: epidemiology, pathogenesis, and preventive measures.
  15. Wenyan Li,Dan You,Yan Chen,Renjie Chai,Huawei Li (2016). Regeneration of hair cells in the mammalian vestibular system.
  16. Jae Jung,Matt Avenarius,Swetlana Adamsky,Evgenia Alpert,Elena Feinstein,Yehoash Raphael (2013). siRNA Targeting Hes5 Augments Hair Cell Regeneration in Aminoglycoside-damaged Mouse Utricle.
  17. Elizabeth Masterson,P Bushnell,Christa Themann,Thais Morata (2019). Hearing Impairment Among Noise-Exposed Workers — United States, 2003–2012.
  18. Ada Ighoroje,C Marchie,E Nwobodo (2005). Noise-Induced Hearing Impairment As An Occupational Risk Factor Among Nigerian Traders.
  19. R Rosati,S Jamesdaniel (2020). Environmental Exposures and Hearing Loss.
  20. Megan Kobel,Colleen Le Prell,Jennifer Liu,John Hawks,Jianxin Bao (2017). Noise-induced cochlear synaptopathy: Past findings and future studies.
  21. H Rostami,A Seidavi,M Dadashbeiki,Y Asadpour,J Simões (2015). Effects of Different Dietary Rosmarinus Officinalis Powder and Vitamin E Levels on the Performance and Gut Gross Morphometry of Broiler Chickens.
  22. A Jain,N Gupta,G Bafna,B Mehta (2017). Impact of Noise Exposure on Hearing Acuity of Marble Factory Workers 295 Indian.
  23. M Liberman,Sharon Kujawa (2017). Cochlear synaptopathy in acquired sensorineural hearing loss: Manifestations and mechanisms.
  24. E Idogbe,A Ahmed,L Olayinka,D Eshimiakhe,F Abubakar (2014). Detection of unconsolidated zones in coal mining site using resistivity data at Odagbo area, Kogi State, Nigeria.
  25. Aung Zaw,Aung Myat,Mya Thandar,Ye Htun,Than Aung,Kyaw Tun,Zaw Han (2020). Assessment of Noise Exposure and Hearing Loss Among Workers in Textile Mill (Thamine), Myanmar: A Cross-Sectional Study.
  26. Raman Wadhera,Sharad Hernot,Sat Gulati,Vijay Kalra (2017). A Controlled Comparison of Auditory Steady-State Responses and Pure-Tone Audiometry in Patients with Hearing Loss.
  27. J Alvarado,V Fuentes-Santamaría,Gabaldón-Ull Mc,J Juiz (2019). Age-Related Hearing Loss Is Accelerated by Repeated Short-Duration Loud Sound Stimulation.
  28. A Møller,B Langguth,D Deridder,T Kleinjung (2010). Textbook of tinnitus.
  29. Md Haider,Ahmmad Taous,Manjur Rahim,Ahm Huq,M Abdullah (2008). Noise induced hearing loss among the textile industry workers.
  30. H Ashraf,M Younus,… Pk-Jtj Of (2009). Students' Corner-Frequency of hearing loss among textile industry workers of weaving unit in Karachi, Pakistan. researchgate.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Chinelo Chidinma Chukwuma, Edwin Okechukwu Nwobodo, Onoriode Akpoghene Eyeghre, Chekwube Martin Obianyo, Favour Tobechukwu Uzor, Chukwudi Geoffery Chukwuma. 2026. "Evaluation of Noise Pollution on Audio-acuity among Sawmill Workers in Nnewi Metropolis, Anambra State, Nigeria". Global Journal of Medical Research - A: Neurology & Nervous System GJMR-A Volume 22 (GJMR Volume 22 Issue A1).

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Alt: Study on noise level impacts on sawmill workers' health in Nigeria.
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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-A Classification DDC Code: 346.730432 LCC Code: KF639.Z9
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v1.2

Issue date
April 11, 2022

Language
English
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Evaluation of Noise Pollution on Audio-acuity among Sawmill Workers in Nnewi Metropolis, Anambra State, Nigeria

Chinelo Chukwuma
Chinelo Chukwuma Nnamdi Azikiwe University, Nnewi Campus, Nigeria
Edwin Nwobodo
Edwin Nwobodo
Onoriode Eyeghre
Onoriode Eyeghre
Chekwube Obianyo
Chekwube Obianyo
Favour Uzor
Favour Uzor
Chukwudi Chukwuma
Chukwudi Chukwuma