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- Research Article Environmental exposure of heavy metal (lead and cadmium) and hearing loss: data from the Korea National Health and Nutrition Examination Survey (KNHANES 2010–2013)
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Gu Hyeok Kang, Jun Young Uhm, Young Gon Choi, Eun Kye Kang, Soo Young Kim, Won Oh Choo, Seong Sil Chang
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Annals of Occupational and Environmental Medicine 2018;30:22.
DOI: https://doi.org/10.1186/s40557-018-0237-9
Published online: April 17, 2018
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• Received: June 12, 2017 • Accepted: April 10, 2018
© The Author(s). 2018
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Abstract
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Background Lead and cadmium have been identified as risk factors for hearing loss in animal studies, but large-scale studies targeting the general human population are rare. This study was conducted to investigate the link between heavy metal concentrations in blood and hearing impairment, using a national population-based survey.
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Methods The study participants comprised 6409 Koreans aged 20 or older, who were included in the Fifth and Sixth Korea National Health and Nutrition Examination Surveys (KNHANES 2010–2013). Hearing impairment was categorized into two types, low- and high-frequency hearing impairment, using pure tone audiometry. Low-frequency hearing impairment was defined as having a binaural average of hearing thresholds for 0.5, 1, and 2 kHz exceeding 25 dB, and high-frequency hearing impairment was defined as having a binaural average of hearing thresholds for 3, 4, and 6 kHz exceeding 25 dB. The blood levels of heavy metals (lead and cadmium) were classified into quartiles. Cross-sectional association between hearing impairment and the level of heavy metals (lead and cadmium) was examined in both sexes. Multivariate logistic regression was used to obtain adjusted odds ratios (ORs) and 95% confidence intervals (CIs).
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Results Among men, the prevalence of low- and high- frequency hearing impairment was 13.9% and 46.7%, respectively, which was higher than the prevalence among women (11.8% and 27.0%, respectively). Regarding lead, the adjusted OR of high-frequency hearing impairment for the highest blood level group versus the lowest group was significant in both men (OR = 1.629, 95% CI = 1.161–2.287) and women (OR = 1.502, 95% CI = 1.027–2.196), after adjusting for age, body mass index, education, smoking, alcohol consumption, exercise, diagnosis of diabetes mellitus, hypertension, and noise exposure (occupational, loud, firearm noises). No links were found between blood lead levels and low-frequency hearing impairment, or between blood cadmium levels and low- or high-frequency hearing impairment in either sex.
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Conclusions The present study findings suggest that even exposure to low-level lead is a risk factor for high-frequency hearing loss. A prospective epidemiologic study should be conducted to identify the causal relationship between human health and exposure to heavy metals, and efforts to reduce heavy metal exposure in the general population should continue.
Background
Hearing impairment is one of the most common health conditions, and is increasing in aging societies [1, 2]. According to the World Health Organization (WHO), 360 million people worldwide and approximately one third of the older population (65 years or older) suffer from hearing impairment [3]. In a study based on the 2010–2012 Korea National Health and Nutrition Examination Surveys (KNHANES), it was estimated that people with mild hearing impairment comprise 20.5% of the population over the age of 19 years, and 70% of the population over the age of 65 years [4]. Hearing impairment can cause social isolation due to communication problems in everyday life [5, 6], and is a serious public health issue in Korea.
Hearing impairment tends to increase rapidly with age [7]. Aside from aging, exposure to loud noise is a risk factor for hearing loss [8], and ototoxic chemicals also affect hearing ability [9–11]. Numerous studies have reported the effect of heavy metals on hearing loss. Jones et al. argued that lead is an ototoxic heavy metal and that lead exposure results in degeneration of the inner ear receptor cells and decreases the conduction function of auditory nerve cells [12]. Cadmium is reported to cause apoptosis of inner ear receptor cells and alter their arrangement, resulting in an increased hearing threshold [13, 14]. Prasher suggested multiple ototoxic effects of lead and cadmium [15]. Additionally, a limited number of epidemiologic studies have been conducted. In a study on the general population, Park et al. confirmed a link between low-level lead exposure and hearing impairment [16]. The relationship between hearing impairment and exposure to lead and cadmium was confirmed in a study by Shargorodsky et al. of American adolescents [17], and in a study of American adults by Choi et al. [18].
Heavy metals, such as lead and cadmium, are present not only in factory-manufactured products, but also in the environment within air, water, food, soil, and dust [19–21]. Industrialization has surreptitiously exposed human bodies to heavy metal [22]. Once heavy metal is absorbed into the body, it is stored in the tissues, because the human body has a limited capacity to effectively eliminate it, due to a half-life lasting several decades [23]. Consequently, the link between hearing impairment and heavy metal levels requires close examination. Currently, lead and cadmium concentration levels in Korea continue to decrease but remain higher when compared to developed countries such as the United States (US) and Canada [24]. Accordingly, the link between heavy metals and hearing impairment should be carefully monitored in Korea.
Several studies have examined the relationship between hearing impairment and heavy metals. However, the number of studies on the general population is limited and the number of epidemiologic studies conducted within the Korean population is even fewer. Accordingly, the present study was conducted to investigate the link between exposure to lead and cadmium and hearing impairment using KNHANES data.
Methods
Data from the fifth and sixth KNHANES, gathered from 2010 to 2013, was used for the analyses. The KNHANES is a multistage stratified complex design survey of a representative sample of the entire Korean population, conducted by the Korea Centers for Disease Control and Prevention. Trained interviewers and laboratory technicians conducted surveys in households, including administering questionnaires, performing health examinations, and collecting blood samples. The section for health behaviors, such as smoking and alcohol consumption, was self-administered. The total number of respondents was 33,552.
Of those, 6582 participants aged 20 years or older underwent pure tone audiometry and blood tests to assess the level of heavy metals (lead and cadmium). After excluding those with missing data, a total of 6409 participants were selected as study participants.
To examine the respondents hearing condition, pure tone audiometry was performed. Both ears were tested at 0.5, 1, 2, 3, 4, and 6 kHz, in a soundproof booth, using the Entomed SA 203. WHO defines hearing as normal if, in the better hearing ear, the average of hearing thresholds at 0.5, 1, 2, and 4 kHz is under 25 dB [25]. Until recently, this definition has been widely used as the criterion to determine an individual’s hearing condition in everyday life. However, potential hearing impairment of one ear may be neglected when the hearing threshold is under 25 dB in the other ear. To account for this, some studies have defined hearing impairment by taking the binaural average of hearing thresholds in preference to relying on the hearing ability of one ear only [26], while another study measured 2 types of hearing impairment, low- and high-frequency hearing impairment [27]. Based on information from these studies, we used the binaural pure-tone average threshold and computed two binaural averages, one across 0.5, 1, and 2 kHz and the other across 3, 4, and 6 kHz to determine the low- and high-frequency thresholds. Hearing impairment was then determined according to whether an average threshold exceeded 25 dB in the respective frequency band.
To measure heavy metal blood levels, blood samples were collected into standard commercial evacuated tubes coated with sodium heparin (Vacutainer). Blood lead and cadmium levels were measured via graphite furnace atomic absorption spectrometry (Perkin Elmer AAnalyst 600, Turku, Finland). For internal quality assurance, the analytical equipment was controlled with respect to the standard reference material from Whole Blood Metals Control (BIO-RAD, USA). The blood levels of each heavy metal were classified into quartiles separately for men and women, and geometric means with standard error were computed according to the quartile rank.
In the analysis, we included factors suggested by previous studies as affecting hearing impairment. Some studies suggested that cerebro-cardiovascular risk factors, such as obesity and smoking, have a negative effect on hearing ability [28, 29], because the cochlea is vulnerable to ischemic changes [30]. On the other hand, moderate exercise and moderate alcohol consumption are reported to have a beneficial effect on hearing ability [31, 32].
Participants’ ages were grouped in 10-year intervals, starting from age 20, and participants aged 70 or higher were collectively gathered as one group. Body mass index (BMI) under 18.5 kg/m2 was classified as underweight, BMI between 18.5 and 25 kg/m2 as normal weight, and BMI over 25 kg/m2 as overweight. The education level was categorized as less than high school education; high school graduation; and more than high school education. Cigarette smoking was classified as follows: a non-smoker was defined as never having smoked more than 100 cigarettes; an ex-smoker was defined as having smoked 100 or more cigarettes but currently not smoking; and a current smoker was defined as having smoked 100 or more cigarettes and still currently smoking. Alcohol consumption was defined as: a non-drinker having never consumed alcohol, a light drinker as consuming alcohol less than twice per week or having fewer than 7 glasses (5 glasses for women) when drinking, and a heavy drinker as drinking more than twice per week or having 7 or more glasses (5 glasses for women) when drinking. Participants who performed intense physical activities 3 days or more per week and, with exercise, felt the effects of bodily exertions more than usual, or who performed intense exercises requiring heavy breathing for 30 min or more, were classified into an exercise group, and all others classified into a non-exercise group. Regarding noise exposure, participants who had been exposed to noise at their workplace over a 3-month period or exposed to loud noises such as car horns, machinery, and loud music at places other than the workplace for 5 h or more per week were classified into a noise exposure group. Those who had been exposed to firearm noise were also classified into the noise exposure group. Finally, regarding diabetes and hypertension, participants were categorized into one of two groups, respectively, depending on whether they had been diagnosed with diabetes or hypertension by a physician.
Weighted complex sampling analysis available from SPSS v.18.0 was used for data analysis. Regarding the general characteristics of participants, the mean and sample size for each variable was examined by sex. A chi-square test was performed to examine the distributions and t-tests performed to compare means. The relationship between each independent variable and hearing impairment was examined using a chi-square test. This test was conducted separately for low- and high-frequency hearing impairment and by sex. To examine sex-specific relationships between low- and high-frequency hearing impairment and heavy metal levels in blood, odds ratios (OR) were computed using complex sampling logistic regression. Statistical significance was defined as p < 0.05. In the first model, age, BMI, education, smoking, alcohol consumption, and exercise were included as adjusting variables, and in the second model, diabetes mellitus, and hypertension were additionally included as adjusting variables. The ORs in the final model were adjusted with exposures to occupational, loud, and firearm noises.
Results
Participants totaled 6409, of whom 3185 (49.6%) were men and 3224 (50.4%) were women. The mean age across all participants was 47; the mean age for men was 46, and for women, 48. Table 1 shows the general characteristics of the study participants. Regarding factors in respect of lifestyle habits, the proportions of ex-smokers and current smokers were both high in men, as well as the proportion of heavy drinkers. Regarding education levels, the proportions of those who had graduated from high school and those who had received more than high school education were significantly higher among men than women (p < 0.001). Additionally, the proportions of those exposed to occupational, loud, and firearm noises were significantly higher in men than in women.
Table 1
General characteristics of the study population
Tables 2 and 3 show the male and female prevalence of low- and high-frequency hearing impairment (defined, respectively, as a binaural average of hearing thresholds for 0.5, 1 and 2 kHz, and for 3, 4, and 6 kHz exceeding 25 dB), broken down for each of the variables. The prevalence of low- and high-frequency hearing impairment in men was 13.9% and 46.7%, respectively, which was higher than the prevalence in women (11.8% and 27.0%, respectively).
Table 2
Characteristics by hearing impairment in male subjects
Table 3
Characteristics by hearing impairment in female subjects
In men, the proportions of low- and high-frequency hearing impairment increased with age (low frequency: p < 0.001, high frequency: p < 0.001). Focusing on BMI and exercise habits, the prevalence of low-frequency hearing impairment had a lower tendency but not significantly lower in the obese group (p = 0.086) and in the exercise group (p = 0.093). Regarding education level, the prevalence of both low- and high-frequency hearing impairment decreased as the education level advanced (p < 0.001). Low- and high-frequency hearing impairment was less prevalent in the non-smoker group and in the heavy drinker group, as well as in the groups not diagnosed with diabetes and hypertension. In contrast, both low- and high-frequency hearing impairment was significantly more prevalent in the group exposed to occupational noise (p < 0.001). There was no significant difference in the groups exposed to loud and firearm noises.
In women, the proportions of low- and high-frequency hearing impairment increased with age (low frequency: p < 0.001, high frequency: p < 0.001). The prevalence of both low- and high-frequency impairment was significantly lower where BMI was lower and the education level was higher, as well as in the heavy drinker group and the groups not diagnosed with diabetes and hypertension. Exposure to loud noise did not show a significant difference, but the group exposed to occupational and firearm noise showed a significantly higher prevalence of high-frequency hearing impairment (p = 0.043, p < 0.001).
Figure 1 shows the binaural average of frequency hearing thresholds of quartile groups based on blood lead level and blood cadmium level in male and female participants (mean ± SD). The figure displays that the hearing thresholds increase as the quartile group is higher in general.
Tables 4 and 5 show the results of multivariate logistic regression analysis conducted for male and female participants. The tables display the ORs of low- and high-frequency hearing impairment for two sets of quartile groups, based on blood lead level and blood cadmium level, respectively.
Table 4
Adjusted ORs and 95% CI of hearing impairment by quartile of lead, cadmium in male
aConc, weighted mean ± SE
bBinaural average of hearing thresholds, weighted mean ± SE
cWeighted percentages
dAdjusted for age, BMI, education, smoking, alcohol consumption, and exercise,
eAdditional adjustment for diabetes mellitus, hypertension
fAdditional adjustment for noise exposure (Occupational, loud, Firearm noise)
Table 5
Adjusted ORs and 95% CI of hearing impairment by quartile of lead, cadmium in female
aConc, weighted mean ± SE
bBinaural average of hearing thresholds, weighted mean ± SE
cWeighted percentages
dAdjusted for age, BMI, education, smoking, alcohol consumption, and exercise,
eAdditional adjustment for diabetes mellitus, hypertension
fAdditional adjustment for noise exposure (Occupational, loud, Firearm noise)
In men, the ORs of low-frequency hearing impairment were not significant for the quartile groups based on blood lead levels, with the lowest group as a reference. However, the OR of high-frequency hearing impairment for the highest quartile group compared to the lowest group was significantly high, that is, 1.598 (95% confidence interval [CI] = 1.140–2.238), after adjusting for age, BMI, education, smoking, alcohol consumption, and exercise. The outcome was the same when diabetes mellitus and hypertension were added as adjusted variables. After adjusting for exposure to occupational, loud, and firearm noises, the ORs significantly increased for all groups, compared to the lowest blood lead group as a reference. Regarding blood cadmium levels, the OR of low- or high-frequency hearing impairment was not significant for any quartile groups, with the lowest group as a reference.
As with the men, the ORs of low-frequency hearing impairment were not significant in women for any quartile groups based on blood lead levels, with the lowest group as a reference. However, the OR of high-frequency hearing impairment for the highest quartile group with the lowest as a reference was significant, that is, 1.488 (95% CI = 1.02–2.172), when adjusted for age, BMI, education, smoking, alcohol consumption, and exercise. The result was the same when diabetes mellitus, hypertension, and exposures to occupational, loud, and firearm noises were additionally included as adjusted variables. In addition, in line with findings for the men, women’s ORs for any quartile groups, based on blood cadmium level with the lowest group as a reference, were not significant in either low- or high-frequency hearing impairment.
Discussion
The objective of the present study was to investigate the link between heavy metals to which the general population is generally exposed and hearing impairment. In the study, there was no difference between the sexes in respect of any link between heavy metals and hearing impairment. Regarding the relationship between blood lead level and high-frequency hearing impairment, the risk of hearing impairment significantly increased in both sexes. However, with respect to low-frequency hearing impairment, significant results were not obtained. In addition, blood cadmium level did not show a significant result in either low- or high-frequency hearing impairment in either sex.
Several previous studies have reported associations between lead and cadmium levels, and hearing impairment. In a study within the general US population, Choi et al. found that the hearing threshold of the highest quintile groups, based on blood lead and cadmium levels, was higher compared to the respective lowest group, by approximately 18.6% (95% CI = 7.4%–31.1%) and 13.8% (95% CI = 4.6%–23.8%), respectively [18]. Shargorodsky et al. reported, in a study with US adolescents, that the OR of high-frequency hearing impairment for the group with a blood lead level over 2 μg/dL was significantly higher compared to a reference group (a blood lead level under 1 μg/dL), that is, 2.22 (95% CI = 1.39–3.56), and that the OR of low-frequency hearing impairment was also significantly higher for the highest quartile group, based on urinary cadmium levels in comparison to the lowest group, that is, 3.08 (95% CI = 1.02–9.25) [17]. Park et al. conducted a study with 448 community-dwelling elderly men in eastern Massachusetts and demonstrated a link between hearing impairment and an increase in the interquartile range of the lead levels in the patella. In their study, the OR was 1.5 (95% CI = 1.1–1.9). In conclusion, evidence that lead and cadmium affect hearing ability within the general population is accumulating steadily [16].
Although previous studies have shown that heavy metals such as lead and cadmium affect hearing ability, the present study, to the best of our knowledge, is the first epidemiologic study conducted on Korean participants to examine the relationship between hearing impairment and cadmium exposure. The ototoxicity mechanism involving cadmium is suggested by only a handful of studies. In a study with rats exposed to water containing cadmium, it was shown that cadmium produces reactive oxygen species in auditory cells and causes loss of mitochondrial membrane depolarization, release of cytochrome c, activations of apoptosis and caspases, and an increase in extracellular signal-regulated kinase activation that ultimately elevates the hearing threshold [13, 14]. A study with US adolescents reported a significant relationship between urinary cadmium and low-frequency hearing impairment. In that study, hearing impairment was defined as an average of hearing thresholds for 0.5, 1, and 2 kHz exceeding 15 dB [17]. In a study with US adults, there was a significant correlation between blood cadmium levels and hearing impairment, with hearing impairment defined as the hearing thresholds for 0.5, 1, 2, and 4 kHz frequencies exceeding 25 dB in one of two ears [18]. Unlike these previous studies, no significant relationship was found between cadmium and hearing impairment in our study, due to several possible reasons. First, this study conducted a different statistical analysis. In the two previously mentioned studies, the data were not categorized by sex, and sex was included as an adjusting variable, unlike the present study. When we performed an additional analysis on the entire data set, not separating it into male and female categories, but including sex as an adjusting variable, we observed that the OR of high-frequency hearing impairment for the highest quartile group with the lowest group as a reference was significant, that is, 1.40 (95% CI = 1.07–1.82). Secondly, the differing results may be due to differences in physical responses caused by variations in ethnicity and lifestyle. Thirdly, the differing results may be due to different definitions and thresholds of hearing impairment used across these studies. Aside from these possibilities, our study and the study with US adolescents had different study participants, that is, adults versus adolescents, and differed in how cadmium was measured, namely in blood versus urinary test levels. More research is needed to study the link between cadmium and hearing impairment in the Korean population.
Regarding the link between lead and hearing impairment, many studies have reported results similar to the current study findings, unlike the case with cadmium. However, while the mechanisms through which lead influences the auditory system are not yet clearly known, chronic lead exposure is known to be toxic to the central and peripheral nervous systems. By using an auditory brainstem response test, a study has shown that lead exposure affects the conduction function of the peripheral nervous system along the auditory pathways [33]. Likewise, Jones et al. reported that lead exposure changes the axonal structure and function of the brainstem auditory nuclei [12]. An alternative hypothesis is that toxic metals affect intracellular calcium homeostasis [34] and accordingly, chronic lead exposure induces auditory hair cell death [35].
The current study findings support the case that even a low level of lead can negatively affect the hearing condition of the Korean general population and that, therefore, an effort should be made to reduce environmental lead exposure. The fourth quartile groups based on blood lead levels demonstrated a risk for poorer hearing in comparison to the first quartile groups. Currently, the Safety Standards of the Occupational Safety and Health Administration (OSHA) specifies 38.6 μg/dL for lead and 5 μg/L for cadmium as blood level thresholds. None of the 6409 participants in the present study exceeded the recommended threshold for lead, and only 6 exceeded it for cadmium. Accordingly, the current study findings suggest that the risk of hearing impairment is present even at a level below the OSHA threshold recommendation for lead. Evidence has been advanced to demonstrate that even where blood lead and cadmium levels are below the respective recommended threshold, they can still lead to chronic kidney disease, peripheral arterial disease, and hypertension [36–38]. Studies conducted in the US have already suggested the possibility of hearing impairment in adolescents and adults following lead and cadmium exposure at a level below their respective recommended thresholds [17, 18].
An advantage of the present study is that it was conducted on a representative sample of the Korean population, and the findings can be generalized to the entire Korean population. Although evidence for the link between hearing impairment and heavy metals, such as lead and cadmium, is accumulating, most studies have been limited in that they were either animal studies or based on a small sample size [12–16]. Epidemiologic studies targeting the general population, such as this study, are rare.
There are several limitations to this study. First, participants’ past work history was not considered. Secondly, the level of noise exposure was not accurately measured and was based on self-reported data, meaning that information bias could have been present. In addition, the participants might have not accurately recalled their noise exposure history over the course of their lives. Thirdly, information pertaining to additional factors that could affect hearing ability, for example, congenital diseases, middle ear diseases, exposures to physical trauma, medication, and toxic substance history, was not included in the original KNHANES dataset. Fourthly, although the study used secondary data that was representative of the Korean population (KNHANES), it was a cross-sectional study. Hence, a causal relationship between hearing impairment and heavy metals could not be clearly identified.
To overcome these limitations in future research, work history, medical history, noise exposure, physical trauma, medication, and toxic substances should be examined and the noise level in the workplace should be measured. Additionally, a cohort study should be conducted that includes people not exposed to occupational and environmental noise.
Conclusion
In the Korean population, exposure to low-level lead is significantly associated with high-frequency hearing impairment in both men and women. Therefore, lead exposure should be closely monitored to protect citizens’ health.
Availability of data and materials
The data of the KNHANES is opened to the public, therefore, any researcher can be obtained after request from the website https://knhanes.cdc.go.kr/knhanes/eng/index.do.
Abbreviations
BMI
Body mass index
CI
Confidence interval
KNHANES
Korea National Health and Nutrition Examination Surveys
OR
odds ratio
OSHA
Occupational Safety and Health Administration
WHO
World Health Organization
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REFERENCES
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REFERENCES
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Environmental exposure of heavy metal (lead and cadmium) and hearing loss: data from the Korea National Health and Nutrition Examination Survey (KNHANES 2010–2013)
Fig. 1 Binaural average of frequency hearing thresholds by quartile of lead, cadmium. Mean ± SD
Fig. 1
Environmental exposure of heavy metal (lead and cadmium) and hearing loss: data from the Korea National Health and Nutrition Examination Survey (KNHANES 2010–2013)
| Variables | Total na | Male | Female | p-valueb |
|---|---|---|---|---|
| Total | 6409 | 3185 | 3224 | |
| Age (years) | ||||
| Mean ± SE | 47.1 ± 0.3 | 46.3 ± 0.3 | 48.0 ± 0.3 | < 0.001 |
| 20–29 | 1025 | 493 | 532 | 0.002 |
| 30–39 | 1081 | 537 | 544 | |
| 40–49 | 1415 | 709 | 706 | |
| 50–59 | 1454 | 717 | 737 | |
| 60–69 | 1232 | 615 | 617 | |
| 70–87 | 202 | 114 | 88 | |
| BMI (kg/m2) | ||||
| Mean ± SE | 23.8 ± 0.1 | 24.2 ± 0.1 | 23.5 ± 0.1 | < 0.001 |
| Underweight | 246 | 68 | 178 | < 0.001 |
| Normal | 4071 | 1936 | 2135 | |
| Obese | 2092 | 1181 | 911 | |
| Education | ||||
| ≤ Middle school | 1861 | 751 | 1110 | < 0.001 |
| High school | 2365 | 1226 | 1139 | |
| ≥ College | 2183 | 1208 | 975 | |
| Smoking | ||||
| Non-smoker | 3650 | 723 | 2927 | < 0.001 |
| Ex-smoker | 1176 | 1063 | 113 | |
| Current smoker | 1583 | 1399 | 184 | |
| Alcohol | ||||
| None | 638 | 104 | 534 | < 0.001 |
| Light drinker | 4128 | 1923 | 2205 | |
| Heavy drinker | 1643 | 1158 | 485 | |
| Exercise | ||||
| No | 4771 | 2271 | 2500 | < 0.001 |
| Yes | 1638 | 914 | 724 | |
| Current diagnosis of diabetes mellitus | ||||
| No | 5980 | 2936 | 3044 | 0.069 |
| Yes | 429 | 249 | 180 | |
| Current diagnosis of hypertension | ||||
| No | 5237 | 2573 | 2664 | 0.202 |
| Yes | 1172 | 612 | 560 | |
| Occupational noise exposure | ||||
| No | 5496 | 2538 | 2958 | < 0.001 |
| Yes | 913 | 647 | 266 | |
| Loud noise exposure | ||||
| No | 6267 | 3095 | 3172 | 0.008 |
| Yes | 142 | 90 | 52 | |
| Firearm noise exposure | ||||
| No | 4750 | 1642 | 3108 | < 0.001 |
| Yes | 1659 | 1543 | 116 | |
| Variables | Low frequency hearing impairment | High frequency hearing impairment | ||||||
|---|---|---|---|---|---|---|---|---|
| Normala | Impaireda | Rateb | p-valuec | Normala | Impaireda | Rateb | p -valuec | |
| Total | 2743 | 442 | 13.9 | 1697 | 1488 | 46.7 | ||
| Age | ||||||||
| 20–29 | 486 | 7 | 1.4 | < 0.001 | 466 | 27 | 5.5 | < 0.001 |
| 30–39 | 525 | 12 | 2.2 | 455 | 82 | 15.3 | ||
| 40–49 | 680 | 29 | 4.1 | 444 | 265 | 37.4 | ||
| 50–59 | 601 | 116 | 16.2 | 244 | 473 | 66 | ||
| 60–69 | 406 | 209 | 34 | 84 | 531 | 86.3 | ||
| 70–87 | 45 | 69 | 60.5 | 4 | 110 | 96.5 | ||
| BMI (kg/m2) | ||||||||
| Underweight | 56 | 12 | 17.6 | 0.086 | 39 | 29 | 42.6 | 0.610 |
| Normal | 1650 | 286 | 14.8 | 1020 | 916 | 47.3 | ||
| Obese | 1037 | 144 | 12.2 | 638 | 543 | 46 | ||
| Education | ||||||||
| ≤ Middle school | 514 | 237 | 31.6 | < 0.001 | 159 | 592 | 78.8 | < 0.001 |
| High school | 1086 | 140 | 11.4 | 691 | 535 | 43.6 | ||
| ≥ College | 1143 | 65 | 5.4 | 847 | 361 | 29.9 | ||
| Smoking | ||||||||
| Non-smoker | 664 | 59 | 8.2 | < 0.001 | 483 | 240 | 33.2 | < 0.001 |
| Ex-smoker | 860 | 203 | 19.1 | 426 | 637 | 59.9 | ||
| Current smoker | 1219 | 180 | 12.9 | 788 | 611 | 43.7 | ||
| Alcohol | ||||||||
| None | 77 | 27 | 26 | < 0.001 | 42 | 62 | 59.6 | < 0.001 |
| Light drinker | 1613 | 310 | 16.1 | 914 | 1009 | 52.5 | ||
| Heavy drinker | 1053 | 105 | 9.1 | 741 | 417 | 36 | ||
| Exercise | ||||||||
| No | 1941 | 330 | 14.5 | 0.093 | 1195 | 1076 | 47.4 | 0.239 |
| Yes | 802 | 112 | 12.3 | 502 | 412 | 45.1 | ||
| Current diagnosis of diabetes mellitus | ||||||||
| No | 2558 | 378 | 12.9 | < 0.001 | 1639 | 1297 | 44.2 | < 0.001 |
| Yes | 185 | 64 | 25.7 | 58 | 191 | 76.7 | ||
| Current diagnosis of hypertension | ||||||||
| No | 2289 | 284 | 11 | < 0.001 | 1528 | 1045 | 40.6 | < 0.001 |
| Yes | 454 | 158 | 25.8 | 169 | 443 | 72.4 | ||
| Occupational noise exposure | ||||||||
| no | 2222 | 316 | 12.5 | < 0.001 | 1413 | 1125 | 44.3 | < 0.001 |
| yes | 521 | 126 | 19.5 | 284 | 363 | 56.1 | ||
| Loud noise exposure | ||||||||
| no | 2667 | 428 | 13.8 | 0.640 | 1645 | 1450 | 46.8 | 0.386 |
| yes | 76 | 14 | 15.6 | 52 | 38 | 42.2 | ||
| Firearm noise exposure | ||||||||
| no | 1425 | 217 | 13.2 | 0.265 | 884 | 758 | 46.2 | 0.517 |
| yes | 1318 | 225 | 14.6 | 813 | 730 | 47.3 | ||
| Variables | Low frequency hearing impairment | High frequency hearing impairment | ||||||
|---|---|---|---|---|---|---|---|---|
| Normala | Impaireda | Rateb | p-valuec | Normala | Impaireda | Rateb | p-valuec | |
| Total | 2845 | 379 | 11.8 | 2354 | 870 | 27.0 | ||
| Age | ||||||||
| 20–29 | 525 | 7 | 1.3 | < 0.001 | 519 | 13 | 2.4 | < 0.001 |
| 30–39 | 535 | 9 | 1.7 | 522 | 22 | 4 | ||
| 40–49 | 676 | 30 | 4.2 | 614 | 92 | 13 | ||
| 50–59 | 641 | 96 | 13 | 479 | 258 | 35 | ||
| 60–69 | 421 | 196 | 31.8 | 209 | 408 | 66.1 | ||
| 70–87 | 47 | 41 | 46.6 | 11 | 77 | 87.5 | ||
| BMI (kg/m2) | ||||||||
| Underweight | 167 | 11 | 6.2 | < 0.001 | 156 | 22 | 12.4 | < 0.001 |
| Normal | 1906 | 229 | 10.7 | 1603 | 532 | 24.9 | ||
| Obese | 772 | 139 | 15.3 | 595 | 316 | 34.7 | ||
| Education | ||||||||
| ≤ Middle school | 836 | 274 | 24.7 | 0.031 | 510 | 600 | 54.1 | < 0.001 |
| High school | 1058 | 81 | 7.1 | 938 | 201 | 17.6 | ||
| ≥ College | 951 | 24 | 2.5 | 906 | 69 | 7.1 | ||
| Smoking | ||||||||
| Non-smoker | 2569 | 358 | 12.2 | 0.062 | 2114 | 813 | 27.8 | 0.004 |
| Ex-smoker | 105 | 8 | 7.1 | 88 | 25 | 22.1 | ||
| Current smoker | 171 | 13 | 7.1 | 152 | 32 | 17.4 | ||
| Alcohol | ||||||||
| None | 412 | 122 | 22.8 | < 0.001 | 281 | 253 | 47.4 | < 0.001 |
| Light drinker | 1962 | 243 | 11 | 1646 | 559 | 25.4 | ||
| Heavy drinker | 471 | 14 | 2.9 | 427 | 58 | 12 | ||
| Exercise | ||||||||
| No | 2185 | 315 | 12.6 | 0.006 | 1794 | 706 | 28.2 | 0.003 |
| Yes | 660 | 64 | 8.8 | 560 | 164 | 22.7 | ||
| Current diagnosis of diabetes mellitus | ||||||||
| No | 2717 | 327 | 10.7 | < 0.001 | 2272 | 772 | 25.4 | < 0.001 |
| Yes | 128 | 52 | 28.9 | 82 | 98 | 54.4 | ||
| Current diagnosis of hypertension | ||||||||
| No | 2444 | 220 | 8.3 | < 0.001 | 2112 | 552 | 20.7 | < 0.001 |
| Yes | 401 | 159 | 28.4 | 242 | 318 | 56.8 | ||
| Occupational noise exposure | ||||||||
| No | 2610 | 348 | 11.8 | 0.957 | 2174 | 784 | 26.5 | 0.043 |
| Yes | 235 | 31 | 11.7 | 180 | 86 | 32.3 | ||
| Loud noise exposure | ||||||||
| No | 2797 | 375 | 11.8 | 0.359 | 2318 | 854 | 26.9 | 0.535 |
| Yes | 48 | 4 | 7.7 | 36 | 16 | 30.8 | ||
| Firearm noise exposure | ||||||||
| no | 2747 | 361 | 11.6 | 0.200 | 2288 | 820 | 26.4 | < 0.001 |
| yes | 98 | 18 | 15.5 | 66 | 50 | 43.1 | ||
| Analyte | <25th | 25th to <50th | 50th to <75th | ≥75th |
|---|---|---|---|---|
| Lead | ||||
| Conc, μg/dLa | 1.56 ± 0.01 | 2.22 ± 0.01 | 2.82 ± 0.01 | 4.22 ± 0.08 |
| Case/n (low frequency) | 80/796 | 96/797 | 111/796 | 155/796 |
| Hearing thresholds(dB)b | 10.8 ± 0.47 | 13.3 ± 0.56 | 14.8 ± 0.59 | 17.8 ± 0.70 |
| Prevalence(%)c | 9.2% | 12.7% | 16.2% | 21.7% |
| Adjusted OR(95% CI)d | Referent | 1.153 (0.761–1.747) | 1.002 (0.644–1.559) | 1.049 (0.694–1.585) |
| Adjusted OR(95% CI)e | Referent | 1.15 (0.758–1.745) | 0.998 (0.640–1.555) | 1.045 (0.690–1.582) |
| Adjusted OR(95% CI)f | Referent | 1.17 (0.772–1.772) | 1.028 (0.661–1.597) | 1.026 (0.677–1.556) |
| Case/n (high frequency) | 242/796 | 322/797 | 404/796 | 520/796 |
| Hearing thresholds(dB)b | 21.2 ± 0.86 | 27.4 ± 0.99 | 31.4 ± 0.99 | 37.9 ± 1.05 |
| Prevalence(%)c | 28.6% | 41.6% | 51.3% | 63.9% |
| Adjusted OR(95% CI)d | Referent | 1.342 (0.988–1.823) | 1.357 (0.972–1.894) | 1.598 (1.14–2.238) |
| Adjusted OR(95% CI)e | Referent | 1.352 (0.994–1.837) | 1.365 (0.978–1.906) | 1.614 (1.151–2.263) |
| Adjusted OR(95% CI)f | Referent | 1.368 (1.006–1.859) | 1.402 (1.005–1.955) | 1.629 (1.161–2.287) |
| Cadmium | ||||
| Conc, μg/dLa | 0.47 ± 0.01 | 0.79 ± 0.01 | 1.13 ± 0.01 | 1.88 ± 0.03 |
| Case/n (low frequency) | 57/797 | 99/797 | 130/798 | 156/793 |
| Hearing thresholds(dB)b | 10.5 ± 0.55 | 13.4 ± 0.53 | 15.3 ± 0.57 | 17.4 ± 0.71 |
| Prevalence(%)c | 8.4% | 12.9% | 17.1% | 21.1% |
| Adjusted OR(95% CI)d | Referent | 0.857 (0.532–1.379) | 0.845 (0.54–1.322) | 0.924 (0.567–1.505) |
| Adjusted OR(95% CI)e | Referent | 0.855 (0.531–1.376) | 0.84 (0.537–1.313) | 0.922 (0.566–1.503) |
| Adjusted OR(95% CI)f | Referent | 0.842 (0.524–1.354) | 0.83 (0.533–1.291) | 0.905 (0.556–1.473) |
| Case/n (high frequency) | 221/797 | 362/797 | 433/798 | 472/793 |
| Hearing thresholds(dB)b | 20.9 ± 1.00 | 29.0 ± 0.94 | 32.5 ± 1.02 | 35.3 ± 1.04 |
| Prevalence(%)c | 27.4% | 46.3% | 52.3% | 59.2% |
| Adjusted OR(95% CI)d | Referent | 1.238 (0.895–1.712) | 1.159 (0.828–1.623) | 1.284 (0.892–1.848) |
| Adjusted OR(95% CI)e | Referent | 1.236 (0.894–1.71) | 1.163 (0.83–1.629) | 1.283 (0.891–1.848) |
| Adjusted OR(95% CI)f | Referent | 1.235 (0.891–1.711) | 1.168 (0.833–1.638) | 1.292 (0.896–1.865) |
| Analyte | <25th | 25th to <50th | 50th to <75th | ≥75th |
|---|---|---|---|---|
| Lead | ||||
| Conc, μg/dLa | 1.12 ± 0.01 | 1.61 ± 0.01 | 2.11 ± 0.01 | 3.03 ± 0.03 |
| Case/n (low frequency) | 63//808 | 82/804 | 101/806 | 133/806 |
| Hearing thresholds(dB)b | 11.6 ± 0.53 | 13.0 ± 0.63 | 14.0 ± 0.52 | 17.8 ± 0.79 |
| Prevalence(%)c | 10.9% | 11.1% | 12.6% | 20.6% |
| Adjusted OR(95% CI)d | Referent | 1.312 (0.755–2.279) | 1.302 (0.791–2.143) | 0.957 (0.563–1.626) |
| Adjusted OR(95% CI)e | Referent | 1.288 (0.74–2.24) | 1.281 (0.773–2.123) | 0.93 (0.544–1.589) |
| Adjusted OR(95% CI)f | Referent | 1.271 (0.726–2.223) | 1.308 (0.784–2.183) | 0.932 (0.541–1.604) |
| Case/n (high frequency) | 135/808 | 178/804 | 234/806 | 323/806 |
| Hearing thresholds(dB)b | 16.4 ± 0.75 | 19.9 ± 0.87 | 21.4 ± 0.70 | 27.5 ± 1.10 |
| Prevalence(%)c | 20.3% | 24.2% | 29.2% | 44.7% |
| Adjusted OR(95% CI)d | Referent | 0.937 (0.599–1.464) | 1.009 (0.695–1.464) | 1.488 (1.02–2.172) |
| Adjusted OR(95% CI)e | Referent | 0.941 (0.602–1.471) | 1.012 (0.698–1.467) | 1.499 (1.028–2.187) |
| Adjusted OR(95% CI)f | Referent | 0.947 (0.606–1.477) | 1.013 (0.698–1.471) | 1.502 (1.027–2.196) |
| Cadmium | ||||
| Conc, μg/dLa | 0.57 ± 0.01 | 0.96 ± 0.01 | 1.36 ± 0.01 | 2.17 ± 0.03 |
| Case/n (low frequency) | 42/806 | 89/807 | 110/806 | 138/805 |
| Hearing thresholds(dB)b | 9.3 ± 0.45 | 14.2 ± 0.59 | 15.9 ± 0.63 | 16.9 ± 0.73 |
| Prevalence(%)c | 6.2% | 13.4% | 17% | 18.5% |
| Adjusted OR(95% CI)d | Referent | 0.873 (0.486–1.567) | 0.916 (0.523–1.603) | 0.768 (0.432–1.364) |
| Adjusted OR(95% CI)e | Referent | 0.88 (0.489–1.586) | 0.92 (0.524–1.616) | 0.758 (0.426–1.349) |
| Adjusted OR(95% CI)f | Referent | 0.875 (0.488–1.57) | 0.913 (0.521–1.601) | 0.757 (0.427–1.343) |
| Case/n (high frequency) | 85/806 | 212/807 | 280/806 | 293/805 |
| Hearing thresholds(dB)b | 13.5 ± 0.69 | 21.1 ± 0.88 | 25.0 ± 0.94 | 25.4 ± 0.90 |
| Prevalence(%)c | 13.3% | 28.4% | 37.6% | 38.6% |
| Adjusted OR(95% CI)d | Referent | 1.225 (0.799–1.878) | 1.302 (0.821–2.067) | 1.425 (0.91–2.231) |
| Adjusted OR(95% CI)e | Referent | 1.229 (0.799–1.89) | 1.308 (0.821–2.082) | 1.427 (0.908–2.244) |
| Adjusted OR(95% CI)f | Referent | 1.248 (0.812–1.919) | 1.325 (0.831–2.115) | 1.426 (0.906–2.244) |
Table 1 General characteristics of the study population
SE standard error
aunweighted count, btested by chi-square test
Table 2 Characteristics by hearing impairment in male subjects
aunweighted count
bprevalence rate
ctested by chi-square test
Table 3 Characteristics by hearing impairment in female subjects
aunweighted count
bprevalence rate
ctested by chi-square test
Table 4 Adjusted ORs and 95% CI of hearing impairment by quartile of lead, cadmium in male
aConc, weighted mean ± SE
bBinaural average of hearing thresholds, weighted mean ± SE
cWeighted percentages
dAdjusted for age, BMI, education, smoking, alcohol consumption, and exercise,
eAdditional adjustment for diabetes mellitus, hypertension
fAdditional adjustment for noise exposure (Occupational, loud, Firearm noise)
Table 5 Adjusted ORs and 95% CI of hearing impairment by quartile of lead, cadmium in female
aConc, weighted mean ± SE
bBinaural average of hearing thresholds, weighted mean ± SE
cWeighted percentages
dAdjusted for age, BMI, education, smoking, alcohol consumption, and exercise,
eAdditional adjustment for diabetes mellitus, hypertension
fAdditional adjustment for noise exposure (Occupational, loud, Firearm noise)
