This study presentes the SHI prevalence and its association with diabetes. The hearing impairment prevalence was higher in men (2.94; 95%CI: 2.59–3.28), from the sixth decade of life (4.49; 95%CI: 3.18–5.79), among those who declared themselves as white skin or color (2.90; 95%CI: 2.57–3.24) and among adults with less schooling (6.32; 95%CI:5.42–7.23).
Population studies on the prevalence of hearing impairment are not numerous, especially when dealing with the Brazilian population and, when available, present different methodologies, an aspect that makes comparison between the findings difficult.
The estimated SHI prevalence was 2.56% (95% CI:2.34–2.79). This value is less than some national studies, as IBGE Census [17], in which the prevalence of hearing loss in the general population was 5.1%.This difference in prevalence can be explained by the fact that the Census evaluation takes into account the entire Brazilian population, including children and adolescents, a population that is not evaluated by PNS, which only counts individuals aged 18 years and over. Or, also, by the fact that the Census considered the presence of the disability while the PNS evaluated it through the question: “Do you have a hearing impairment?”, The Census questioned: “Do you have a permanent hearing problem?”
The National Health Interview Survey (NHIS), 2010 [18], research with methodology similar to the PNS, estimates in 16% the prevalence of hearing impairment among people aged 18 years and over, and in the NHIS 2012 [19], the prevalence decreased to 15%. Even so, it is almost 6 times higher than in Brazil. The NHIS considers four categories: mild hearing loss, moderate hearing loss, severe hearing loss and deafness, whereas this study used a binay variable: yes or no to hearing impairment. Therefore, due to the differences between our study and the former, it is difficult to compare.
In the cross-sectional study by Hong et al. [10] with data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2012, the estimated prevalence of mild hearing loss was 20.5% (95%CI: 19.6–21.6) and moderate to severe was 9.2% (95% CI: 8.6–9.9). The difference between the prevalence of hearing impairment in the Korean study and in the present study was approximately 9 times higher in mild loss and 3 times higher in the case of moderate to severe loss. The main difference in these results may be due to the fact that the Korean study performed the audiometric test in the participants, thus detecting even the smallest hearing loss, which highlights a limiting factor of self-reported studies, as in the present case.
A higher prevalence of hearing impairment among men than among women has been reported in other studies in Brazil [17, 20, 21] and abroad [10]. This finding can be attributed to exposure differences thoughout life; therefore, men tend to play more unhealthy work or are more exposed to noisy environments in their work activities [21]. Intrinsic conditions can also elucidate these differences, since even if the structures of the auditory system seem similar for men and women at birth, small differences were observed in the results of otoacoustic emissions and evoked potentials of the brainstem and, consequently, hormonal and metabolic differences should also be considered in these analyzes [22].
This study showed that, the older the individual, the higher the prevalence of hearing loss. These results were corroborated by other studies conducted in other countries such as the United States [11, 19], Korea [10] and also in Brazil [20, 23]. These findings lead us to consider the growth of the elderly population and consequent increase in the prevalence of hearing loss in Brazil and in the world, as we know that with increasing age auditory acuity decreases [24].
It is estimated that the proportion of individuals aged 60 and over ranged from 5% in 1960 to 8.6% in 2000 and will increase to 14% by 2025, reaching a significant proportion in developed countries [25]. As a result, the prevalence of chronic non-communicable diseases and hearing loss will increase.
Minor differences were observed for skin color or race, with a higher prevalence of hearing loss among adults who declared themselves as white. These results meet the NHIS research in 2012 [19] and NHANES in 1999–2004 [11]. No studies were found that clearly explained the difference between skin color or race and hearing loss, but socioeconomic factors, associated diseases and occupational exposure may be related to it.
In a study that aimed to analyze self-reported differences between blacks and whites [26], regarding limitations in daily life activities, functional limitations, visual and hearing impairment, and memory and learning problems, it was verified that the probability of visual and hearing problems in blacks in older age groups is lower than in whites in both men and women. The study suggests that this difference may be due to racial differences in the incidence of cataracts, the main cause of vision problems among the elderly, where there is a much higher incidence among white people than blacks [27]. As for differences exclusively in hearing, the study did not mention anything.
In the present study, people with less education tend to have a higher prevalence of hearing impairment [11], with higher hearing thresholds, as in the study by Lee et al. [9], in which he mentions that low schooling and low income may be associated with unhealthy lifestyles, which may, in turn, contribute to the risk of hearing loss.
As to the type of hearing impairment, the acquired one was the most prevalent. Across the world, 16% of incapacitating hearing loss in adults is attributed to occupational noise, ranging from 7 to 21% in the various subregions. The effects of noise exposure are higher for men than for women in all sub-regions and higher in developing regions [28]. In a study, Nelson et al. evaluated the global burden of hearing loss induced by occupational noise, concluding that occupational noise is an important risk factor for hearing loss in workers at most ages.
Concerning the involvement of the ears, 56.1% of those who self-referred hearing loss have deafness or reduced hearing in one ear. In American study [11] in speech frequencies the prevalence of unilateral hearing loss was 7.9% and bilateral of 7.8%; while at high frequencies that prevalence was 13% unilateral and 19% bilateral.
About the degree of limitation that hearing impairment brings, the present research showed that, for 37.0% (95% CI: 33.5–34.7) of those who have it, it is not a limitation. A percentage of 74.5% reported having no difficulties in leisure activities, 88.6% said they did not need help in daily activities, and 63.3% reported having no need for assistance, although they did not have statistical significance [29].
In this population who reported hearing impairment 87.0% (95%CI: 84.1–89.4) have not made use hearing aids. The hearing rehabilitation service has been used by 16.4% (95%CI: 12.8–20.9) of those who use this device.
In a research of Cruz et al. [30] performed with the elderly, 89.9% of the participants who self-referred hearing loss have not made use of a hearing aid and 10.1% (n = 45) have used it. When asked why they have not used the hearing aid, 8.6% said that although indicated, they had not got used to it and 8.0% had not acquired it because of financial problems. Analyzing the ways of acquiring the device, 78.8% had used private resources and 16.9% had acquired it through the Unified Health System. On receiving training for the use of hearing aids, 87% had received it and 81.4% had been followed up for control of the hearing aid.
Smoking not was significant in this study, but one study found nicotinic receptors in the hair cells of the cochlea, suggesting that smoking has detrimental effects on the function of hair cells due to possible action during auditory neurotransmission [31]. In addition, the impact of smoking could interact with other factors or with harmful auditory exposures, such as noise, causing synergistic detrimental effects on auditory function [32, 33].
On the other hand, alcohol consumption was a protective factor for hearing loss in the univariate analysis. In a population-based cross-sectional study of 164,770 adults in the UK aged 40–69 years who completed the “speech-in-noise” hearing test, those who were drinkers were approximately 40% less likely to have a hearing loss than those who do not drink [34].
The study of Upileet al. [35] suggests that the use of alcohol preferentially affects low frequencies, including the 1000 hertz, which is the most important to discriminate vowels. The reduction in hearing these frequencies is more harmful to the understanding of human speech and light to moderate alcohol consumption also affects the auditory thresholds in the frequencies of speech. However, the study of Curhanet al. [36], conducted with a cohort of nurses, concluded that alcohol consumption is not associated with the risk of hearing loss in women, corroborating our findings.
As for the occupational exposure variable (chemicals, noise and solid waste management), it proved to be associated with hearing impairment. Noise is the most common occupational exposure addressed in studies and is associated with hearing loss related to work. A survey of US universities gardeners concluded that these professionals have been exposed to excessive noise, exceeding the limits of 85 dB, which can be effectively reduced through careful programming encouraging the use of personal protective equipment [37]. Between Taiwanese workers the prevalence of hearing loss was higher in the group exposed to noise and toluene compared to the reference group [38].
A study with municipal workers of solid waste landfills showed that there were several occupational hazards for these, including exposure to noise, dust, toxic gases, heat, heavy metals and volatile organic compounds [39]. Mohammadi et al. [40] found that the combined exposure to organic solvents (including benzene, toluene, xylene, etc.) and noise can exacerbate hearing loss, especially in high frequency (average hearing threshold greater than 25 dB at 3, 4, 6 and 8 kHz).
Another study with municipal workers of solid waste landfills that aimed to investigate occupational hearing loss divided the sample into 3 groups: group 1 of 63 workers without exposure to occupational risks (control group); group 2 of 84 workers with little or short exposure to occupational hazards; and group 3 of 100 workers with continued exposure to occupational hazards. Both noise and total volatile organic compounds were significantly higher in workplaces for group 3. Significantly worse auditory thresholds at frequencies of 2, 3 and 4 kHz were found in group 3 compared to group 1 and group 2. The rate of prevalence of hearing loss was 23.5%, being the highest in group 3 (36.0%). The odds ratio of municipal workers of solid waste landfills associated with hearing loss was 3.39 (95% CI: 1.28–8.96) [41].
This study indicates that individuals with diabetes have 46% higher risk for hearing loss (RPadjusted = 1:46: 95%CI: 1.32–1.61). In a study that evaluated predisposing factors for hearing loss [9] participants with diabetes mellitus showed significantly worse hearing results in 0.5, 1 and 6 kHz, which is confirmed in the population-based study of 16,040 individuals conducted in Korea [10], which verified that the risk of developing hearing loss in high frequency in people with diabetes is higher.
In this study, the clinical characteristics of the sample were adjusted only for age and sex for the presence of mild hearing loss. It was also performed logistic regression, and the odds ratio of diabetes for hearing loss was 1.42 (95% CI: 1.20–1.69) for mild impairment at high frequencies and 1.24 (95%CI: 1.05–1.45) for moderate to severe impairment at high frequencies. Only in these two cases it was observed statistical significance.
A recent meta-analysis has shown that the odds ratio of hearing impairment to the diabetic participants was 2.15 (95%CI:1.72–2.68) compared with non-diabetic participants and it is likely to be regardless of the effect of aging or the noisy environment to which one is exposed [42].
Another meta-analysis identified patients with type 2 diabetes with a significantly higher incidence of mild hearing loss compared to controls; thresholds in the average of pure tone audiometry were higher in diabetics for all frequencies, but were more clinically relevant in 6 and 8 kHz [43].
In a population survey of Bainbridge et al. [44] with data from 5140 participants aged 20–69 years, researchers used multivariate analysis adjusted for age, sex, race/ethnicity, education, income, exposure to recreational noise, exposure to occupational noise, military history, use of ototoxic drugs and smoking and the results showed than people with diabetes had greater odds ratios and statistically significant hearing loss in the worst and best ears in all degrees of hearing loss and frequencies.
The fact that the hearing impairment diagnosisis is self-reported, considering the perception of each person, can imply that mild hearing impairments are not identified as moderate or severe hearing impairmentby the subject, causing a possibility of measurement bias. Considering that most hearing impairments are progressive, a proportion of survey respondents may not have identified that has such a complaint, which explains the proportion of difference compared with other surveys using pure tone audiometry to estimate the prevalence of hearing impairment or any type of hearing impairment that could cause any disconfort.
Another fact that must also be taken into account when considering the prevalence of hearing impairment and its association with risk factors is whether it is congenital or acquired. In this study, the acquired hearing loss was more prevalent, making us think that the occupational exposure and the diseases acquired throughout life may influence the occurrence of this outcome, i.e., the more unhealthy the workplace is and the greater the diseases associated with hearing loss the person is exposed to, such as diabetes, the greater the prevalence of hearing impairment.
In the general population of PNS, the prevalence of diabetes was 6.2% (95% CI: 5.9–6.6), with higher prevalences among women, individuals over 60 years of age, non-smokers, non-alcoholics and people with lower educational levels. Among SHI cases, a similar profile was observed, except for the prevalence of diabetes in alcohol use, since there was no difference between use and non-use and in the educational variable, since higher prevalences were obtained in individuals with higher levels of schooling.
To diabetes there can be a difference between individuals with type 1 or type 2 diabetes, but considering that about 90.0% of cases are of type 2 diabetes [45], especially in the adult population, the results presented herein refer must predominantly to type 2 diabetes. Another factor known to be related to diabetes and consequently to hearing impairment is obesity, but this was not addressed in this study; it will be addressed in a future research.
The strengths of this study are the following: the size of the sample, because it has great statistical power and is representative of the Brazilian population; the response rate to the survey, which was very satisfactory (92%) and; with the weights, the results can be extrapolated to the entire Brazilian population, and perhaps the most important point is about the confounding variables, so that the factors associated with hearing loss were explained as clearly as possible, a factor observed in the multivariate analysis. This is the first Brazilian study we know that this aspect related to occupational exposure, such as noise, chemicals and solid waste, was considered in the multivariate analysis, along with tobacco and alcohol consumption, factors previously reported to be associated with hearing impairment.
On the other hand, that are several limitations of this study. The research refers to a cross-sectional study, and conclusions about statistical associations may not be causal, and reverse causality cannot be ruled out. In addition, as the exposures and outcome were based on self-reports, there may be a reporting bias, which may lead to inflated associations due to the variance of the common method.