Prevalence of Noise-Induced Hearing Loss among Textile Industry Workers in Dar es Salaam, Tanzania

Abraham, Zephania Saitabau; Massawe, Enica Richard; Ntunaguzi, Daudi; Kahinga, Aveline Aloyce; Mawala, Shaban

doi:10.5334/aogh.2352

Cited by 28 publications

(19 citation statements)

References 8 publications

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“…The evidence at hand shows that migrant workers in Kuwait suffer from ONIHL with a prevalence of 20.4%, which is in line with the results of [ 20 , 32 ] at 21.5% in Ghana and 22.1% in Germany, respectively. However, the estimated prevalence in the present study is lower than those of [ 33 , 34 ], at 58.5% among textile workers in Tanzania and 44% among woodworkers in Nepal, respectively. Prevalence ratios can vary depending on the study sample and the nature of the workplace; therefore, they are not readily generalizable nor easily comparable.…”

Section: Discussioncontrasting

confidence: 86%

Occupational Noise-Induced Hearing Loss among Migrant Workers in Kuwait

Buqammaz

Gasana

Alahmad

et al. 2021

IJERPH

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Although the effect of hearing loss on years lived with disability (YLD) is quite substantial, occupational hearing loss among migrant workers is significantly under-studied. In Kuwait, where nearly two-thirds of the population are migrant workers, the burden of occupational noise-induced hearing loss (ONIHL) is unknown. The objective of the study was to assess the prevalence of ONIHL among migrant workers in Kuwait and explore workplace and individual risk factors that are associated with ONIHL. We obtained data of annual physical exams for the year 2018 conducted by the Shuaiba Industrial Medical Center (SIMC) for all industrial workers in the area. We applied univariate and multivariate logistic regression models to estimate the effects of individual and occupational characteristics on ONIHL. A total of 3474 industrial workers visited the SIMC for an annual exam. The vast majority were men (99%) and non-Kuwaitis (98%) with a median age of 38 years. A total of 710 workers were diagnosed with ONIHL with a prevalence of 20.4%. Age, years of experience, and self-reported exposure to noise were associated with statistically significant higher odds of ONIHL. When adjusted for age, years of experience, and other individual level factors, type of industry was not a statistically significant predictor of ONIHL. The study uncovers the significant burden of hearing loss among the migrant worker subpopulation in Kuwait, an area of occupational health that is often underestimated or unrecognized. Although laws and regulations are in place to prevent and control noise in the workplace, the onus is on local authorities to ensure the necessary training and controls aimed to reduce noise exposure.

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Section: Discussioncontrasting

confidence: 86%

Occupational Noise-Induced Hearing Loss among Migrant Workers in Kuwait

Buqammaz

Gasana

Alahmad

et al. 2021

IJERPH

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“…This prevalence rate was three times higher than WHO data in 2015. A study on workers in Tanzania has found that as many as 58.5% of the total 265 workers experienced NIHL and the prevalence in men (67.7%) was higher than in women (Abraham et al 2019). A study in America stated that one of four (24%) of adults experienced hearing loss due to noise and its prevalence was more in men (Carroll et al 2017).…”

Section: Discussionmentioning

confidence: 99%

Prevalence and Population at Risk for Noise Induced Hearing Loss (NIHL) in Adolescent Students

Yusni

Ikbal

Meutia

2021

FMI

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Noise-Induced Hearing Loss (NIHL) is a global health problem, often underestimated, and leads to permanent hearing loss. The prevalence of NIHL in adolescents has increased in line with the increasing use of cell phones. This study aimed to determine the prevalence of NIHL and analyze the population at risk (age, gender, and school) in adolescent students. The study design was a cross-sectional study. A total of 510 students consisting of female, n=288 and male, n=222; junior high school, n=203 and senior high school, n=307 were used as research subjects. This study was conducted on August-October 2015 at Darul Ihsan School, Banda Aceh, Indonesia. An audiometry examination was performed to determine the diagnosis of NIHL. Data analysis was using descriptive analysis and independent sample t-test(p<0.05). The results of this study were the prevalence of NIHL in adolescents aged 11-20 years was 18.88%. The highest percentage of NIHL was at the age of 15 years (34.57%). The number of NIHL was significantly higher (p=0.000*) in males (24.32%) compared to females (9.37%). The prevalence of NIHL was significantly higher (p=0.00*) in senior high school children (26.11%) compared to that in junior high school children (9.12%). In conclusion, the highest prevalence of NIHL was at the age of 15 years. NIHL was more common in male than in female students. NIHL was higher in high school students compared to junior high school students. The NIHL was related to age, gender, and school level.

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“…These studies include the one conducted in Tanzania among miners where the prevalence of ONIHL was 47% with the youngest age group of 20-29 years being most affected (Musiba, 2015). In another study among textile workers in Tanzania, the prevalence of NIHL was found to be 58.8% (Abraham, Massawe, Ntunaguzi, Kahinga, & Mawala, 2019). A cross-sectional study among Tanzanian steel workers revealed a prevalence of ONIHL of 48% (Nyarubeli, Tungu, Moen, & Bratveit, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Classification of audiograms in the prevention of noise-induced hearing loss: A clinical perspective

Musiba

2020

SAJCD

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Background: Noise induced hearing loss (NIHL) is a major contributor to disabling hearing loss. Engineering controls are superior to hearing protection devices (HPDs) in prevention of occupational noise induced hearing loss (ONIHL), although the latter are more commonly used. Effective use of audiometry requires quick categorization of audiograms. The UK Health and Safety Executive (UKHSE) scheme for the categorization of audiograms is a tool that accomplishes this.Objectives: The objective of this paper is to provide an overview of the classification of audiograms and build a case for the preferential use of the UKHSE’s scheme to achieve this.Method: The author provides a literature review of methods of classification for audiograms and uses a case study in a Tanzanian mining company to demonstrate how the UKHSE scheme was successfully used to enhance the existing hearing protection program.Results: The literature review identified several methods of classification based on a variation of threshold shifts from baseline. The difference was in the frequency and level of threshold shift used to determine hearing loss, and the recommended course of action once hearing loss is detected. The UKHSE scheme is simple and provides guidance on steps to be taken thereafter. This was demonstrated in a case study among miners in a mining company in Tanzania.Conclusion: The UKHSE audiogram classification scheme has the advantage of providing a straightforward, easy to determine classification that allows for intervention appropriate to the findings.

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Prevalence of Noise-Induced Hearing Loss among Textile Industry Workers in Dar es Salaam, Tanzania

Cited by 28 publications

References 8 publications

Occupational Noise-Induced Hearing Loss among Migrant Workers in Kuwait

Occupational Noise-Induced Hearing Loss among Migrant Workers in Kuwait

Prevalence and Population at Risk for Noise Induced Hearing Loss (NIHL) in Adolescent Students

Classification of audiograms in the prevention of noise-induced hearing loss: A clinical perspective

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