ORIGINAL ARTICLES

 

Prevalence of noise-induced hearing loss in metallurgical company

 

 

Maximiliano Ribeiro GuerraII; Paulo Maurício Campanha LourençoI; Maria Teresa Bustamante-TeixeiraII; Márcio José Martins AlvesII

IDepartamento de Epidemiologia. Instituto de Medicina Social. Universidade do Estado do Rio de Janeiro. Rio de Janeiro, RJ, Brasil
II
Núcleo de Assessoria, Treinamento e Estudos em Saúde (NATES). Universidade Federal de Juiz de Fora. Juiz de Fora, MG, Brasil

Correspondence

 

 


ABSTRACT

OBJECTIVE: To analyze the prevalence of cases suggestive of noise-induced hearing loss (NIHL) among metalworkers who were potentially exposed to occupational noise (from 83 to 102 dB).
METHODS: A cross-sectional study was carried out in a metalworking company providing services in Rio de Janeiro, Brazil. Clinical and occupational data on 182 workers who were active between November 2001 and March 2002 were obtained from the company's Hearing Conservation Program and analyzed. In order to characterize the noise exposure status within the work environment, the acoustic classifications from the operating units of the client companies were used, due to difficulty in quantification at an individual level. Associations between these cases and variables such as age, length of service in the company, length of exposure to occupational noise and degree of use of individual protection equipment were tested by means of prevalence ratios and logistic regression analysis.
RESULTS: The prevalence of cases suggestive of NIHL was 15.9% and significant associations (p<0.05) were identified from multivariate analysis between these cases and the variables of age and degree of use of individual protection equipment.
CONCLUSIONS: The results found contribute towards better understanding of the behavior of some of the main characteristics of NIHL, in a particular situation of the organizing of work that is relatively common in the Brazilian industrial context.

Keywords: Hearing loss, noise-induced, epidemiology. Workers. Occupational exposure. Noise, occupational. Occupational health. Cross-sectional studies. Prevalence.


 

 

INTRODUCTION

Work-related hearing loss, and particularly noise-induced hearing loss (NIHL), is a highly prevalent occupational illness in industrialized countries, and it is prominent as one of the most prevalent health hazards for workers in Brazilian industry.4 It is characterized by gradual reduction in auditory acuity, generally over a period of six to ten years of exposure to high levels of sound pressure.11 It is always neurosensory in nature and irreversible, starting with the loss of high audiometric frequencies.*

Even though the existence of noise in the working environment is considered to be one of the main risk factors in the genesis of occupational hearing loss, other agents of diverse nature may cause hearing deficits, through interaction with noise, thereby increasing the effect of noise on hearing.3 A variety of factors are often related to the occurrence of hearing losses, such as age, cranial trauma, exposure to noise outside of the workplace, smoking, systemic diseases, family history of hearing deficits and exposure to chemical agents in the workplace.1,2,6,11,13

The diagnosis of NIHL of occupational origin depends on the typical representation seen on audiograms and the proving of the existence of exposure to noise within the working environment, while always considering the intensity and characteristics of the agent, as well as the type of exposure.*

In most cases, NIHL does not cause incapacity for work.* This leads to notification difficulties regarding this hazard to workers' health in Brazil. Thus, the estimates of the prevalence of this illness among the different categories of workers in Brazil are basically made by means of epidemiological studies.1,7,9,10,12,14,15

Although NIHL has practically reached endemic proportions within the industrial environment, scientific studies on its natural history among Brazilian workers are still scarce.4 The great imprecision in quantifying the level of individual exposure to noise observed in Brazilian industry should also be noted. Sustained scientific exploration of the behavior of NIHL among these workers therefore becomes necessary.

The present study had the objective of analyzing the prevalence of hearing loss that was suggestive of NIHL among the workers at a metalworking company, whose exposure to occupational noise at the individual level was difficult to characterize.

 

METHODS

This was a study with cross-section delineation, carried out from November 2001 to March 2002, in a private metalworking company that provides technical services of preventive and corrective mechanical maintenance for medium to large-sized refrigeration equipment, located in the city of Rio de Janeiro, Brazil. Metalworkers who provided services within client companies that were included within the scope of the Hearing Conservation Program during the period of the research were analyzed. Thus, 194 workers filled out questionnaires, of whom 12 (6.2%) were excluded because there were no audiometric results for these workers. The study was therefore conducted on 182 workers, who represented around 74% of the total number of workers who were providing services within these companies.

Because of the difficulty found within the Hearing Conservation Program for quantifying the individual level of exposure to noise at each work post, only the acoustic classifications of the operating units of the client companies were utilized for characterizing the status of noise exposure within the working environment. Thus, all the workers studied were classified as potentially exposed to occupational noise, since they performed their activities in production sectors with sound pressure levels above the legal tolerance limit for eight hours per day (>85 dB),* according to the assessment for the Environmental Risk Prevention Program that was carried out in the company in 2001. These sound pressure levels varied not only from sector to sector, but also within sectors, ranging from 83 to 102 dB, according to the activity performed: scheduled preventive maintenance and/or unscheduled corrective maintenance (measurements made using the Minipa MSL 1350 digital decibel meter with internal calibrator).

A self-administered questionnaire drawn up through the company's own Hearing Conservation Program was utilized. This was based on present knowledge of the natural history of NIHL, so that a data collection instrument could be constructed that would enable investigation of the main factors associated with this illness. In accordance with the priorities of the preventive program, which was destined solely for the population exposed to occupational noise, the questionnaire was initially applied to the workers dispersed around the various client companies. This stage of the data collection was performed as an integral part of the Hearing Conservation Program, and was conducted together with talks on auditory healthcare for the workers, with clarifications about NIHL, the issuing of Work Accident Communications (CAT) when necessary, and the distribution of individual protection equipment.

A databank was set up, containing all the information available from the questionnaire and also from the records of the company's specialized service for safety engineering and occupational medicine (SESMT). These records consisted of audiometry results, other clinical data and administrative information. All the audiometric examinations were performed by service providers of recognized technical quality, in accordance with the norms recommended in Brazil.*

The variables analyzed were the following:

Dependent variable (outcome)

The dependent variable was hearing loss suggestive of NIHL, which was characterized from evidence of neurosensory hearing deficit suggestive of NIHL in the audiometric examinations, according to the criteria established by Ordinance no. 19 of the Ministry of Labor and Employment (1998).8

Independent variables (exposure)

The independent variables were age, length of service in the company, total length of exposure to occupational noise (estimated from the workers' reported individual perception of exposure to the physical agents over the course of their whole working lives), degree of use of individual protection equipment (characterized by reports of utilization of ear defenders by workers whenever they were performing activities in noisy environments), exposure to noise outside of the workplace (habit of using firearms, going to noisy parties, or letting off fireworks or mortars), occupational exposure to chemical products (solvents, reducing agents, oils and greases), family history of hearing deficits, present and/or previous history of smoking, personal history of hypertension and diabetes mellitus, and previous history of cranial trauma. The distribution of frequent complaints of buzzing sounds and hearing difficulties in noisy environments among the study population were also analyzed.

The data analysis observed the following steps:

  • Univariate analysis with a description of the distribution of the dependent and independent variables in the study population;

  • Bivariate analysis, done by crossing the dichotomous dependent variable with each of the independent variables, in accordance with their nature, by means of contingency tables (chi-squared test and, when necessary, the Fisher exact test). In the 2x2 tables, prevalence ratios (PR) and odds ratios (OR) were calculated, with their respective 95% confidence intervals 95% (95% CI). To test differences between means, the Student t test was utilized;

  • Multivariate analysis for controlling for confounding factors, by means of multiple logistic regression using the manual backward-forward stepwise strategy.5 For the multivariate analysis, the most significant variables (p<0.2) from the bivariate analysis and/or most relevant variables in the context of NIHL were selected. The criteria for variables to be kept in the final model also took into account the significance level and the relevance of these variables, in addition to the quality of model adjustment. The presence of interaction between age and length of exposure to occupational noise was also investigated.

The values of the likelihood ratio and the Hosmer-Lemeshow test, respectively, were utilized to assess significance and the quality of model adjustment, at all stages. The statistical software utilized was Epi Info (version 6.04b), for data entry and analysis, and SPSS 8.0 for Windows, for the multivariate analyses.

The present research was approved by the research ethics committee of the University Hospital of the Federal University of Juiz de Fora (CEP/HU-UFJF).

 

RESULTS

The study population was made up solely of male workers, with ages ranging from 19 to 70 years (median: 35.5; 25th percentile: 25.0; 75th percentile: 46.0), and 61.5% aged no more than 40 years. The mean length of service in the company was 7.6 years (median: 5.0; 25th percentile: 2.0; 75th percentile: 12.1). The mean length of exposure to noise in the working environment was 9.9 years (median: 6.0; 25th percentile: 2.0; 75th percentile: 16.0). The prevalence of cases suggestive of NIHL was 15.9%, with a confidence interval of 10.9% to 22.1%.

In the bivariate analysis, the distribution of cases suggestive of NIHL presented significantly increasing prevalence (p<0.05) that was directly proportional to increasing age, length of service in the company and length of exposure to occupational noise. The PR for length of exposure to occupational noise greater than or equal to 20 years was 4.65 (95% CI: 2.01-10.72). The prevalence of cases suggestive of NIHL was lower among the workers who reported that they regularly used individual protection equipment (p=0.09) and higher among those who reported occupational exposure to chemical products (p=0.3), in relation to the workers who did not report these facts (Table 1).

The workers with audiometry results suggestive of NIHL presented mean age, mean length of service in the company and mean length of exposure to occupational noise of 50.2 years, 14.1 years and 16.6 years, respectively. These figures were greater than those observed for the other workers (p<0.05) (Table 2).

 

 

Greater prevalences of cases suggestive of NIHL were identified among workers with histories of exposure to noise sources outside of the workplace (25.0%), cranial trauma (24.2%), arterial hypertension (22.7%) and diabetes mellitus (30.0%), in comparison with workers without such histories (15.7%, 13.8%, 15.5% and 15.6%, respectively). These differences were not significant (p<0.05). The prevalence of cases suggestive of NIHL was lower among workers with a family history of hearing deficit (PR: 0.18; 95% CI: 0.02-1.25) and higher among those with a present and/or previous history of smoking (PR: 3.46; 95% CI: 1.78-6.73), in relation to workers without reports of such histories. With regard to clinical symptoms related to hearing, cases suggestive of NIHL were brought into evidence for 33.3% and 62.5% of the workers with frequent complaints of buzzing sounds and hearing difficulties in noisy environments, respectively (Table 3).

Eleven variables were selected for the modeling process (logistic regression), in accordance with their statistical significance and/or relevance (Table 4).

 

 

The interaction term that was evaluated (age and length of exposure to occupational noise) was not significant, thus indicating that the effects of these factors were independent. The final model identified the variables of age and degree of use of individual protection equipment as significantly associated with cases suggestive of NIHL (p<0.05), after controlling for potential confounding factors (Table 5). According to the value of the likelihood ratio, the model was shown to be significant as a whole (p<0.01), and presented good adjustment quality, as assessed by the Hosmer-Lemeshow test (p=0.65).

 

 

DISCUSSION

The present study was conducted together with the company's Hearing Conservation Program, and a large proportion of the information was obtained by means of a questionnaire drawn up for this program. Thus, the survey had the burden of some limitations relating to the decision to work with data coming from a scheduled activity that was in progress. The priorities adopted for the program, with the aim of verifying the need for immediate assistance for the client companies, always gave consideration to the client companies to which the greatest contingents of workers were allocated. Since the data collection was restricted to a period of around five months, the program did not achieve 100% coverage over the period considered in its proposal for performing evaluations on all workers with potential exposure to noise in the working environment. At first sight, doubts could be raised regarding the representativeness of the study population. However, according to technical assessments by the SESMT, the workers who were not assisted through the Hearing Conservation Program during this period did not present conditions of exposure to occupational agents that differed from those of the other workers. Thus, it is believed that no significant selection bias occurred.

According to the bibliographic survey carried out, the prevalence of cases suggestive of NIHL found in the present study (15.9%) was less than was found in all the other studies analyzed. These other studies presented a range of prevalences from 28.5 to 46.2%.1,7,9,10,12,14,15 This observation needs to take into account the fact that these other studies were performed on different categories of Brazilian workers. In addition to this, the lower prevalence of cases suggestive of NIHL observed in the present study may also be related to the level of exposure to occupational noise that the workers studied were subjected to. This noise presented quantification difficulties at the individual level, due mainly to the nature of the activity performed: preventive maintenance (scheduled) and corrective maintenance (unpredictable).

The association between the cases suggestive of NIHL and age deserves highlighting, given that the prevalence of such cases rose as the age group increased (p<0.01). This occurred in an independent manner, and was around 11.45 times greater among workers aged over 50 years, in relation to workers aged under 30 years (95% CI: 3.57 to 36.73). This finding is consistent with the data in the literature.1,2 The degree of use of individual protection equipment also presented a statistical association with cases suggestive of NIHL (p=0.02), after controlling for possible confounding variables. Thus, it was shown that there was a lower prevalence of cases suggestive of NIHL among workers who reported that they regularly used protection, in relation to those who said they used protection occasionally or not at all (PR: 0.56; 95% CI: 0.28-1.10). This emphasizes the need for individual protection equipment use to be indicated, made to fit and followed up when the collective protection measures are unsatisfactory.*

Even though length of service in the company (p=0.18) and positive history of cranial trauma (p=0.13) only presented marginal significance (0.05<p<0.2), they merit consideration because they are very relevant in the context of this illness and presented raw OR within the limits of the 95% confidence interval of the adjusted OR.

It was observed that the prevalence of cases suggestive of NIHL was greater for workers with more than six years of service in the company than for those with shorter service. This finding may indicate that various working environments within the production sectors of the client companies may be contributing towards the occurrence of this hazard to workers' health. The prevalence of cases suggestive of NIHL was around 1.8 times greater among workers with a positive history of cranial trauma than for those who were negative for such trauma. This is in accordance with the need to investigate this factor when there are workers with a hearing deficit suggestive of NIHL, so as to gain a better etiological understanding.2,*

The length of exposure to noise in the working environment was shown to be not significant in the adjusted model (p=0.48), thereby indicating the influence of the other variables on the raw measurement. This finding may be explained by the fact that this variable, which was reported by the workers, is very subject to information bias. It may be overestimated or underestimated due to a variety of interests, such as the obtaining of some legal assistance. It is worth commenting that the average length of exposure to occupational noise that was reported (9.9 years) was greater than the average length of service in the company in question (7.6 years), which may suggest prior exposure to noise in previous activities.

Although the statistical results indicated independence between age and length of exposure to occupational noise, the possibility of collinearity can only be eliminated by pairing the study participants by age, under different exposure conditions, which was not done in this case. It also needs to be taken into consideration that, even though the association between exposure to chemical products and NIHL was not significant in the present study (p>0.05), the lack of exposure measurement results and lack of detailed exposure history do not allow such an association to be dismissed.

Even with all the limitations already discussed, the present study has enabled better comprehension of the behavior of some of the principal characteristics that are related to NIHL, in a particular situation of the organizing of work that is relatively common in the industrial environment. Similar studies undertaken in the future will certainly enable an ever-closer interpretation of the real situation of Brazilian workers. Every approach undertaken must always be placed within its context, because of the diversity of occupational health questions in Brazil and the difficulties in researching this field in this country. Such investigations not only involve various problems of a technical nature, but also financial interests and significant legal implications.

 

REFERENCES

1. Barbosa ASM. Ruído urbano e perda auditiva: o caso da exposição ocupacional em atividades ligadas à coordenação do tráfego de veículos no município de São Paulo [dissertação de mestrado]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo; 2001.        

2. Bauer P, Körpert K, Neuberger M, Raber A, Schwetz F. Risk factors for hearing loss at different frequencies in a population of 47,388 noise-exposed workers. J Acoust Soc Am 1991;90(6):3086-98.        

3. Da Costa EA, Kitamura S. Órgãos dos sentidos: audição. In: Mendes R. Patologia do trabalho. Belo Horizonte: Atheneu; 1997. p. 365-87.        

4. De Almeida SIC, Albernaz PLM, Zaia PA, Xavier OG, Karazawa EHI. História natural da perda auditiva ocupacional provocada por ruído. Rev Assoc Med Bras 2000;46(2):143-58.        

5. Hosmer DW, Lemeshow S. Applied logistic regression. USA: Wiley-Interscience Publication; 1989.        

6. Kwitko A, Ferreira PG, França MT, Zanzini C, Steggiorin S. Perdas auditivas ocupacionais: análise de variáveis e diagnóstico. Rev Bras Méd Otorrinolaringol 1996;3(3):151-64.        

7. Martins AL, Alvarenga KF, Bevilacqua MC, Costa Filho OA. Perda auditiva em motoristas e cobradores de ônibus. Rev Bras Otorrinolaringol 2001;67(4):467-73.        

8. Ministério do Trabalho e Emprego. Portaria nº 19, de 9 de abril de 1998. Estabelece diretrizes e parâmetros mínimos para avaliação e acompanhamento da audição em trabalhadores expostos a níveis de pressão sonora elevados. Diário Oficial da União, Brasília (DF), 22 abril 1998.        

9. Miranda CR, Dias CR, Pena PGL, Nobre LCC, Aquino R. Perda auditiva induzida pelo ruído em trabalhadores industriais da região metropolitana de Salvador, Bahia. Inf Epidemiol SUS 1998;7(1):87-94.        

10. Miranda CR, Dias CR. Perda auditiva induzida pelo ruído em trabalhadores em bandas e em trios elétricos de Salvador, Bahia. Rev Bras Saude Ocup 1998;25(93/94):99-118.        

11. Morata TC, Lemasters GK. Considerações epidemiológicas para o estudo de perdas auditivas ocupacionais. In: Nudelmann AA, Costa EA, Seligman J, Ibagñez RN. PAIR: perda auditiva induzida pelo ruído. Rio de Janeiro: Revinter; 2001. v. 2, cap. 1, p. 1-16.        

12. Oliveira TMT, Reis ABF, Bossi C, Pagnossim DF, Pereira LF, Mello MC et al. Implantação de um programa de conservação auditiva em uma indústria de bebidas. Rev Bras Saude Ocup 1997;24(89/90):31-6.        

13. Phaneuf R, Hetu R. An epidemiological perspective of the causes of hearing loss among industrial workers. J Otolaryngol 1990;19(1):31-40.        

14. Ruggieri M, Cattan S, Giardini LDL, Oliveira KAS. Deficiência auditiva induzida por ruído em 472 trabalhadores da região do ABC Paulista. Arq Med ABC 1991;14(1):19-23.        

15. Santos LF, Shiraishi NY, Silva JS, Prioste SV, Koishi SM, Lima CJ et al. Estudo de prevalência da perda auditiva induzida por ruído em trabalhadores de uma indústria gráfica. Disturb Comun 1998;10(1):45-58.        

 

 

Correspondence to
Maximiliano Ribeiro Guerra
NATES - Universidade Federal de Juiz de Fora
Campus Universitário Martelos
36036-330 Juiz de Fora, MG, Brasil
E-mail: guerramr@hotmail.com

Received on 13/10/2003. Reviewed on 21/6/2004. Approved on 14/7/2004.

 

 

* Ministério da Previdência e Assistência Social. Norma Técnica para Avaliação da Incapacidade – PAIR, de 5 de agosto de 1998. Aprova Norma Técnica sobre perda auditiva neurossensorial por exposição continuada a níveis elevados de pressão sonora. Ordem de Serviço INSS/DSS nº 608, Brasília (DF); 1998.
Part of a master's degree dissertation presented to the Departamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro (IMS/UERJ), in 2002.
Work carried out at the company Cetest Rio Ltda, with its main premises in Benfica, RJ, Brazil.

Faculdade de Saúde Pública da Universidade de São Paulo São Paulo - SP - Brazil
E-mail: revsp@org.usp.br