DOI: https://doi.org/10.21203/rs.3.rs-1014638/v1
Background: Noise is a widespread occupational hazardous factor affecting the health of workers in occupational health field. Noise-induced hearing loss (NIHL) and hypertension are the important biological adverse effects caused by occupational noise exposure. This study aimed to determine the binaural high frequency (3, 4, and 6 kHz) threshold on average (BHFTA) and levels of systolic blood pressure (SBP) and diastolic blood pressure (DBP), to assess the prevalence of NIHL and hypertension and determine the factors influencing the risk of both, and to evaluate the association between NIHL and hypertension among occupational noise-exposed workers.
Methods: Questionnaire and occupational health checkup were performed to collect the personal information and physical examination data. Finally, baseline data from 42,588 occupational noise-exposed workers were analyzed. Noise intensity in the workplaces was measured using sound level meter. Pure tone audiometry (PTA) was measured at 3, 4 and 6 kHz using diagnostic audiometer. Moreover, blood pressure level was measured using automated sphygmomanometer.
Results: The mean levels of BHFTA, SBP, and DBP were 23.09 ± 11.32 dB, 126.85 ± 15.94 mm Hg, 79.94 ± 11.61 mm Hg. Of the 42,588 subjects, the prevalence of NIHL and hypertension were 24.38% (n = 10,383) and 25.40% (n = 10,816). The results suggested that higher risk of NIHL and hypertension were more likely to be the subgroups of male gender, aged > 35 years, noise exposure time > 5 years, noise exposure level > 85 dB (A) and smoking. The BHFTA, SBP, and DBP levels increased with the age, noise exposure time and exposure level (Ptrend < 0.001). Besides, similar trends were also observed in the prevalence of NIHL and hypertension. Furthermore, there was a significant association of NIHL with hypertension. We found that 32.25% (n = 3,348) workers with NIHL had hypertension. The mean levels of SBP and DBP in NIHL workers were significantly higher than those with normal hearing (P < 0.001). Besides, workers with NIHL had a significantly higher risk of developing hypertension than normal hearing workers (adjusted OR = 1.07, 95%CI = 1.02-1.13).
Conclusion: Our current findings suggest that the prevalence of NIHL and hypertension are high in the studied workers and occupational noise exposure is an important factor. Therefore, it is urgent to reduce noise exposure in the workplaces and to strengthen industrial noise monitoring.
In general, noise is known as a kind of sounds, which can be irritating or loud enough to endanger everyone. There are various types of noise, such as traffic noise, construction noise, and workplace noise. Nowadays, noise pollution has become an important public health problem. It's worth noting that noise is a widespread occupational hazard factor severely affecting workers’ health in the field of occupational health. Available evidence suggested that prolonged noise exposure could lead to multiple harmful effects, including annoyance [1], sleep disturbance [2], learning impairment [3, 4].
To our knowledge, the most direct and severe impact of noise is the damage to the auditory system, and the most serious adverse effect is the occurrence of noise-induced hearing loss (NIHL). NIHL is a progressive sensorineural hearing loss characterized by noise-induced auditory threshold shift at high-frequency. NIHL is a major occupational-related disease and is a severe occupational health problem in the workplace safety [5]. It is worth noting that about ten percent of the world’s population permanently are expose to high-intensity noise environment and are at risk of developing NIHL [6]. About 16% of worldwide hearing loss in adults was found to be caused by occupational noise [7]. A recent study showed that occupational noise exposure caused 7 to 21% hearing loss in workers, with the lowest incidence in industrialized countries and the highest in developing countries [8]. It was estimated that about 22 million workers were exposed to hazardous occupational noise in the USA [9]. Besides, approximately $242 million was cost annually on compensation due to occupational NIHL [6]. In Europe, approximately 54% of population were exposed to road traffic noise level high than 55 dB each year that could affect health [10]. With the rapid development of industry in China, noise is widespread in various industrial places, and a larger number of workers exposed to noise. Nowadays, NIHL has been the third largest occupational health hazard in China, the incidence of which has been increasing [11]. Zhou J et al. [12] has conducted a meta-analysis and found that the prevalence of occupational NIHL was 21.3% in China. NIHL could cause communication disorder and social isolation, thus leading to self-abasement, cognitive decline, and depression [13]. Therefore, it is an extreme important public health goal to prevent NIHL and reduce its adverse effects.
Except for adverse effects on auditory function, noise, as a psychosocial stressor, could induce biological effect on cardiovascular system and lead to hypertension [14, 15]. Previous studies suggested that the mechanism by which noise causes hypertension may be through activation of the hypothalamus-pituitary-adrenal gland and sympathetic nervous system, thus resulting in elevated levels of norepinephrine, epinephrine, and cortisol [6]. Some studies have documented that workers exposed to occupational noise had a distinctly elevated blood pressure [16, 17] or had a higher risk of hypertension [18, 19]. It has reported that 9.4% of cardiovascular disease deaths are caused by hypertension [20]. Skogstad M et al. [21] found that occupational noise exposure can increase hypertension risk with a hazard ratio (HR) of 1.38 (95% CI = 1.01-1.87). A cross-sectional study enrolling 1,390 occupational noise-exposed workers and 1,399 non-noise-exposed workers observed that the prevalence of hypertension was 17.8% in noise-exposed workers, and the SBP and DBP levels were significantly higher than those in the non-noise-exposed workers [22]. Similarly, Chang et al. [23] confirmed that long-term noise exposure could cause the elevated blood pressure levels and higher risk of hypertension. In addition, a study of 1,729 workers performed by de Souza TC et al. [24] also proved that noise exposure was associated with hypertension. Nowadays, hypertension has become one of the top three hazards of the global burden of disease, accounting for 7.0% of the global disability-adjusted life-years (DALYs) [20]. Thus, it is necessary to take early intervention for prevention of noise-induced hypertension and its adverse effects.
Occupational noise as a prevalent occupational health risk may be present in many workplaces affecting workers’ health and putting the workers’ health at a high risk. In addition, considering the harmful effects of occupational noise on human health, we conducted this study to investigate the status of NIHL and hypertension, determine the potential risk factors, and evaluate the association between NIHL and hypertension by analyzing the baseline data from occupational health checkups of occupational noise-exposed workers.
Study subjects
In this cross-sectional study, a total of 44,305 workers exposed to occupational noise who accepted occupational health checkups between 2015 and 2017. To avoid potential biases, a total of 1,717 workers who gave incomplete information of occupational noise exposure, did not accomplish the occupational health examinations, had a family history of deafness and diagnosed hearing loss, otitis media, skull trauma, nervous tinnitus could impair normal hearing, had a history of cardiovascular diseases and hypertension, medical diagnosis history of hypertension, and previous or current use of drugs that could cause hearing loss and hypertension were excluded from this study. Finally, 42,588 workers meeting the above inclusion criteria were recruited in this study. All included study participants were the frontline workers exposed to occupational noise under different operating post such as polishing, cold rolling, electrical welding, grinding, riveting, stamping, etc.
This study was reviewed and approved by the Ethics Committee of Zhongda Hospital, Affiliated Hospital of Southeast University (approval No: 2020ZDSYLL150-P01) before this current study commenced. Informed consents were also obtained from each participant.
Questionnaire survey
A structured questionnaire was performed to collect information on demographic characteristics of all workers before occupational health checkups. The information included age, noise exposure time, hereditary history of deafness and hypertension, family history of cardiovascular diseases, smoking and drinking status, history of ear-related diseases (ear infections, head injury/trauma, and tinnitus), previous medical diagnosis of hypertension, and previous or current use of drugs was gathered. The information was used to screen participants for the current study. The Details of the definitions of smoking and drinking have been proposed elsewhere [25]. In brief, workers had one cigarette per day for the at least one year were defined as smokers. Drinkers were defined as workers consumed a bottle of beer or fifty grams of wine per day for at least one year.
Environmental noise exposure determination
Noise intensity was measured using sound level meter (TES, Taiwan) and determined according to equivalent continuous dB(A)-weighted sound pressure levels LAeq, 8 h. Cumulative noise exposure (CNE) was calculated and was regarded as the level of individual noise exposure according to LAeq. Therefore, we defined occupational noise exposure as equivalent continuous dB(A)-weighted sound pressure levels of more than 85 dB(A) during a nominal 8 h working day.
Pure-tone audiometric examination and NIHL definition
Occupational noise exposure was defined as a noise exposure level of at least 85 dB(A) on a nominal 8 h workday in this study. Pure-tone audiometric (PTA) examination was subsequently performed by professional audiologist with a pure tone audiometer (Madsen Voyager 522, Taastrup, Denmark). All recruited workers underwent a PTA test after being away from the occupational noise exposure environment for at least fourteen hours or longer. According to the diagnostic criteria (GBZ 49-2014), hearing thresholds of left and right ears were assessed with the method of ascending pure tones at the frequencies of 0.5, 1, 2, 3, 4, and 6 kHz. Furthermore, all hearing examinations were conducted in a soundproof room to ensure that the obtained results reflect the true levels of hearing thresholds of workers. In the present study, workers whose binaural high frequency (3, 4, and 6 kHz) threshold on average (BHFTA) greater than 25 dB were defined as NIHL, while those less than 25 dB were defined as normal hearing. To better describe the status of hearing loss, based on BHFTA, the severity of NIHL was categorized into five subgroups, including normal hearing (≤ 25 dB), mild (26-40 dB), moderate (41-70 dB), severe (71–90 dB) and profound (≥ 91 dB), respectively [26].
Blood pressure measurement and hypertension
Before blood collection and blood pressure measurement, all workers were asked to fast overnight. Blood pressure was evaluated by an experienced physician using an automated sphygmomanometer (TM-2655P, A&D Corp., Japan) after workers sat for more than 10 minutes rest. The average value of three repeated blood pressure measurements with 30 seconds interval was applied to reflect the true level of an individual’s blood pressure. Workers who had mean resting systolic blood pressure (SBP) ≥ 140 mm Hg and/or mean resting diastolic blood pressure (DBP) ≥ 90 mm Hg were defined as hypertensive.
Statistical analysis
Descriptive statistics were computed as mean, standard deviation (SD) and frequency percentages. Shapiro-Wilk test was used to determine the normality of continuous variables including SBP, DBP, and binaural high frequency threshold on average. Student’s t test and Kruskal-Wallis test were applied to determine the significance differences of continuous variables. Two-side χ2 test was applied to examine statistical differences in frequency distribution of category variables. For the significantly different group, the Mann-Whitney test and χ2 test were used to compare the statistical significance of variables among groups. In addition, multivariate logistic regression, calculated odds ratios (ORs) and 95% confidence intervals (CIs) to determine the strength of association between selected variables and NIHL and hypertension by controlling potential confounding factors, such as age, gender, noise exposure time, smoking and drinking status. The SPSS version 23.0 (SPSS, Chicago, Illinois, USA) was performed for all statistical analyses. The statistical significance was set as P values < 0.05.
Characteristics of study subjects
Table 1 summarizes the demographic characteristics of this cross-sectional study comprised 42,588 subjects who exposed to occupational noise. Among the recruited subjects, 74.76% were male (n = 31,838), and 25.24% were female (n = 10,750). The mean age was 36.58 ± 9.56 years, with 44.30% of workers were at the age of 18-34 years, 31.38% were 35-44 years, and 24.33% were older than 45 years. The average noise exposure time was 9.20 ± 8.38 years, with 38.57% of workers were exposed to noise for less than 5 years, 30.03% were in the range of 5-10 years, and 31.40% had a noise exposure history of greater than 10 years. The average noise exposure level was 88.07 ± 7.39 dB (A), with 37.59% of workers were exposed to noise level for less than 85 dB (A), 19.92% were in the range of 86-91 dB (A), and 42.49% workers had a noise exposure level of greater than ≥ 92 dB (A). Furthermore, in all subjects, 33.44% and 33.52% were smokers and drinkers, respectively. The binaural high frequency threshold on average of study workers was 23.09 ± 11.32 dB (A).
Prevalence of NIHL and hypertension
The prevalence of NIHL with different severity are displayed in Table 2. Among the 42,588 subjects, 10,383 workers were diagnosed as having NIHL, with the prevalence of 24.38%. As for the severity of NIHL, the highest number of hearing loss was found on mild (16.76%). Besides, the prevalence of NIHL by severity was 7.1% for moderate, declining to 0.45% and 0.07% for severe and profound, respectively. As shown in Table 3, the mean levels of SBP and DBP of all workers were 126.85 ± 15.94 mm Hg and 79.94 ± 11.61 mm Hg, respectively. Meanwhile, 10,816 workers (25.40%) were diagnosed with hypertension.
Stratified analysis of binaural high frequency threshold on average and prevalence of NIHL
As shown in Table 4, we found that workers in the subgroups of male gender, smoking and drinking had a significantly higher BHFTA compared with female, non-smoking and non-drinking workers (P < 0.001). Totally, 8,162 males, 4,289 smokers and 3,715 drinkers out of all the recruited subjects were diagnosed as having NIHL, with the prevalence of 25.64%, 30.12% and 26.02%, significantly higher than the female (20.66%), non-smoking (21.50%) and non-drinking (23.55%) workers. Male and smoking workers had a significantly higher risk of NIHL (adjusted OR = 1.51, 95%CI = 1.41-1.61; adjusted OR = 1.10, 95%CI = 1.04-1.16). Besides, there was a significant difference in the level of BHFTA between the three subgroups of age, noise exposure time and noise exposure level (P < 0.001), and significantly elevated with the cumulative of age, noise exposure time and noise exposure level. Correspondingly, workers aged 35-44 (27.44%, P < 0.001) and > 44 (39.79%, P < 0.001) with BHFTA of 23.86 ± 11.45 dB and 26.47 ± 14.72 dB had significantly higher prevalence rates of NIHL than workers younger than 35 years (13.75%). Workers who exposed to noise time 5-10 years (30.73%, P < 0.001) and > 10 years (35.15%, P < 0.001) with BHFTA of 24.30 ± 12.06 dB and 25.16 ± 13.51 dB had significantly higher prevalence of NIHL than noise exposure less than 5 years workers (10.67%). Moreover, workers exposed to noise level 86-91 dB (A) (26.56%, P < 0.001) and ≥ 92 dB (A) (26.29%, P < 0.001) with BHFTA of 88.15 ± 1.91 dB and 94.97 ± 2.17 dB had also higher prevalence of NIHL than noise exposure level less than 85 dB (A) workers (21.06%). Similar results also could be observed in the risk of NIHL, which indicated that the risk of NIHL in the subgroups of age between 35 and 44 (adjusted OR = 1.91, 95%CI = 1.79-2.04) and > 44 years (adjusted OR = 3.16, 95%CI = 2.96-3.37), noise exposure time of 5-10 years (adjusted OR = 3.33, 95%CI = 3.12-3.54) and > 10 years (adjusted OR = 2.73, 95%CI = 2.55-2.92), and noise exposure level of 86-91 dB (A) (adjusted OR = 1.36, 95%CI = 1.27-1.45) and ≥ 92 dB (A) (adjusted OR = 1.30, 95%CI = 1.23-1.37) was significantly higher compared to the aged < 35 years, noise exposure time < 5 years and noise exposure level ≤ 85 dB (A) groups (P < 0.001).
Stratified analysis of the levels of SBP and DBP and prevalence of hypertension
Table 5 shows the stratified analysis results of SBP and DBP levels and prevalence of hypertension by study groups. There was a significant difference in the levels of SBP and DBP, and the prevalence of hypertension between different gender, age, noise exposure time, noise exposure level, smoking and drinking groups (P < 0.001). The male, smoking and drinking workers had significantly higher levels of SBP and DBP, and prevalence rates of hypertension than the female, non-smoking and non-drinking workers. Besides, we found that a similar result revealing that males and smokers were at significantly higher risk for hypertension (adjusted OR = 2.18, 95%CI = 2.04-2.34; adjusted OR = 1.11, 95%CI = 1.05-1.17, respectively). There was a statistical significance in the SBP and DBP levels among the groups with different age, noise exposure time, and noise exposure level, and both SBP and DBP levels increased with the gradual increase of age, noise exposure time and exposure level (Ptrend< 0.001). Besides, the multivariate logistic regression analysis showed that age, noise exposure time and exposure level were associated with the risk of hypertension after adjusting for potential confounders. The subgroups of age 35-44 and > 44 years had a 2.32-fold and 3.82-fold greater OR for hypertension than age less than 35 years. A similar result in the subgroups of noise exposure time 5-10 and > 10 years, and noise exposure level 86-91 and ≥ 92 dB (A) was also found.
Analysis of association between NIHL and hypertension
To determine the association between NIHL and hypertension, all subjects were divided into normal hearing and NIHL groups. The results showed that the mean levels of SBP (130.03 ± 16.89 mm Hg) and DBP (82.16 ± 12.21 mm Hg) in 10,383 NIHL workers were significantly higher than those with normal hearing (125.82 ± 15.48 mm Hg for SBP and 79.23 ± 11.32 mm Hg for DBP) (P < 0.001). The prevalence of hypertension in normal hearing group was 23.19%, while 32.25% in NIHL group, and a statistically significant difference was found between the two groups (P < 0.001). Furthermore, compared with normal hearing workers, NIHL workers had 1.07 times higher risk of hypertension after correcting confounding factors (adjusted OR = 1.07, 95%CI = 1.02-1.13) (Table 6).
Based on the data from occupational health checkups of 42,588 occupational noise-exposed workers, we investigated the levels of SBP, DBP and BHFTA, prevalence of NIHL and hypertension. Besides, we evaluated the association between NIHL and hypertension. Among the included 42,588 subjects, we found that the prevalence of NIHL and hypertension were 24.38% and 25.40%. We also found that the prevalence rates of NIHL and hypertension were significantly higher in subgroups of male gender, aged 35-44 and > 44 years, noise exposure time 5-10 and > 10 years, noise exposure level 86-91 and ≥ 92 dB (A), and smoking. Higher risks of NIHL and hypertension were also occurred in the above groups. In addition, there was a significant difference between NIHL and hypertension; the risk of hypertension in NIHL group was 1.07-fold greater than in normal hearing group.
Generally, noise is considered as a set of sounds that could make people irritable or is loud enough to endanger everybody. In environment, there are diverse sources of noise, including transportation noise, occupational noise, and construction noise. Nowadays, noise pollution has been an important and neglected public health issue in the world. Adverse health effects of noise on human beings can be observed on psychologically and physiologically [27]. The WHO reported that mental, behavioral, and neurological diseases affected by noise account for 3% of global deaths and 10% of global burden of disease [28]. Recent evidence showed that long-term exposure to environmental noise could cause some adverse health effects, such as sleep disturbance [2], annoyance [28], learning impairment [3], and hypertension [29].
Occupational noise, a common harmful factor that seriously affects health of workers in the field of occupational health. Noise-induced hearing loss (NIHL) is one of the worst adverse health effects induced by occupational noise exposure in workplaces [30]. The WHO reported that about 10% of the world’s population is exposed to high level of noise and at risk of progressing to NIHL [6]. A recent review revealed that occupational noise exposure resulted in 7% to 21% of workers’ hearing loss, with the lowest incidence in industrialized countries and the highest in developing countries [8]. According to previous study, NIHL is one of the leading occupational related disease in China, accounting for approximately one-sixth of the annual increase of occupational disease [11]. Many epidemiological investigations showed that high frequency hearing loss is mainly caused by occupational noise exposure [31, 32]. In this study, the prevalence of NIHL was 24.38%, which was higher than the results from research performed by Lie A et al. [8] showing that approximately 7 to 21% of NIHL caused by occupational noise exposure. Therefore, we could conclude that NIHL has become an urgent occupational health problem that damages workers’ health in China. In this study, we observed that male workers had a significantly higher risk of NIHL than females. Nelson DI et al. [7] has reported that the harmful effects of occupational noise exposure on NIHL were larger among males than females. Previous studies also suggested that males may suffer more effects after occupational noise exposure than females [33]. The gender difference might be due to the differences in auditory sensitivity. Besides, another possible explanation may be physiological differences induced by hormones between sexes. Relevant studies have found that estrogen and its signaling pathways may protect women from hearing loss [33]. It has been shown that a key factor contributing to NIHL is oxidative stress damage to sensory hair cells [34]. In the present study, a significantly higher risk of NIHL was observed in workers aged > 35 years, noise exposure time > 5 years, and noise exposure level > 85 dB (A), with adjusted ORs gradually increasing with increasing of age, noise exposure time and exposure level, which was consistent with from previous studies [35]. A recent study has reported that age influenced hearing thresholds over time, and age groups of 30-44 years and 45-59 years workers were at higher risk of exposing to occupational noise and had higher hearing thresholds [36]. Prolonged exposure to occupational noise has been shown to damage cochlear hair cells, thus leading to irreversible NIHL. In addition, the prevalence of hearing loss was also reported to increase with the increasing level of noise exposure [37-39]. It should be worth noting that aging and duration with noise were the most common cause of NIHL, and both closely related to the formation of reactive oxygen species, which was the major product of oxidative stress [40].
Smoking was found to be associated with an increased risk for hearing loss [41, 42]. Wang D et al. [43] also found that smoking was an independent risk factor for NIHL, and there was a dose-response relationship between smoking and NIHL risk. In this study, we found that a similar result revealing smoking was significantly associated with the risk of NIHL. However, the specific pathogenic mechanisms underlying smoking increases the risk of hearing loss is not well understood. Available evidence has revealed that smoking may damage cochlea hair cells and cause hearing loss by increasing carboxyhemoglobin or reducing cochlear blood flow to the cochlea [44]. Previous studies found a moderate intake of alcohol had a protective effect on hearing [45], but frequent alcohol consumption could increase the risk of hearing loss [46]. In contrast, a previous study has found that no significant association between drinking and the risk of NIHL [47], which showed the same results as our study. Further studies in more detail are necessary to investigate the mechanism underlying this inconsistent.
It has been reported that persons with chronic and repeated exposure to noise appeared a persistent increased of blood pressure or a higher risk of hypertension [48, 49]. In this study, altogether, 25.40% of the workers included in our study had hypertension, suggesting a higher incidence of this disease. Workers particularly in the subgroups of male gender, aged > 35 years, exposure time with noise > 5 years, noise exposure level > 85 dB (A) and smoking were more likely to develop hypertension, the results were in accordance with observed trends in previous studies [13, 40, 50, 51]. Males were observed with much higher blood pressure levels and higher risk of hypertension compared with females. The gender difference might be due to the differences in auditory sensitivity and pathogenesis of cardiovascular diseases. A cross-sectional study observed that a significant dose-response relationship between age, noise exposure time, noise exposure intensity and the risk of hypertension [22, 52]. Similarly, Chang et al. [23] performed a cohort study recruiting 578 workers and found a significant exposure-response between the noise exposure intensity and the risk of hypertension. Smoking has been identified as a risk factor for coronary heart disease, stroke, and hypertension by abundant evidence [53-55]. Our findings showed that workers with these characteristics were high risk individuals of developing hypertension in occupational noise exposure settings. According to recent reports showed that the consequence of hypertension induced by noise exposure might be due to stress response, thus resulting in the elevated level of stress hormones such as catecholamine [56, 57]. A study on the health effects of environmental noise exposure on cardiovascular disease found that catecholamine could raise myocardial contractibility and enhance the output of blood pressure and cardiac by regulating β-1 receptors [58]. Yet other studies have not found any significant correlation [59-61]. There is still a lack of consensus on this issue. It is remarkable that the differences of results observed in different studies may be influenced by population studied and auditory sensitivity. Therefore, further studies in more detail are needed to precisely determine the mechanism underlying this inconsistent.
To explore the association between NIHL and hypertension, we divided the workers into normal hearing group and NIHL group according to the level of BHFTA. The current study suggested that NIHL workers had a significantly higher level of SBP and DBP compared to those in normal hearing group. Similarly, a study (n = 618) revealed that the mean levels of SBP and DBP in the NIHL group were significantly higher than those in the normal hearing group [62]. Meanwhile, the findings of our study suggested that the prevalence rate of hypertension in NIHL differed from that in normal hearing workers by 9.1%; the risk of developing hypertension in NIHL workers was 1.07 times that of normal hearing workers. Kuang D et al. [52] investigated the association of high-frequency hearing loss and hypertension among occupational noise exposed workers and indicated that workers with mild high-frequency hearing loss (hearing level > 25 but < 40 dB) had a higher hypertension risk of 34%. Also, the findings of another research involving 119 workers indicated that high frequency hearing loss was significantly associated with hypertension [63]. In addition, a study enrolling 790 male aircraft-manufacturing individuals reported that workers with high frequency hearing loss (4 and 6 kHz) had higher risk of hypertension [64]. Our current findings were consistent with the above-described findings regarding the association between NIHL and high levels of SBP and DBP, and hypertension risk. Therefore, our study provided evidence that NIHL may be associated with the risk of hypertension, and it may act a potential biomarker of noise-induced hypertension for occupational noise-exposed workers.
Strengths and limitations
Our present study is a cross-sectional study based on the data from occupational health checkups of 42,588 occupational noise-exposed workers. Strengths of the study are large sample size and high response rate among the subjects, as well as the occupational health checkups performed by certified and experienced physician and audiologists, thus ensuring the accuracy and credibility of all data; findings obtained based on this large sample size is more convincing. Besides, subgroup analysis of variables was conducted to avoid potential confounding factors. However, several limitations are also present in the current study and need to be mentioned. First, this study was based on a cross-sectional analysis, the results should be verified by prospective cohort studies in the future. Second, the questionnaire survey based on self-report measures of participants, which may cause bias to the results of the study. Third, some important information was not collected, such as hearing protection measure, the usage of headphones, BMI, dietary habit, etc., which were crucial factors influencing hearing loss and hypertension. Hence, in future studies, we will pay more attention to collecting the above missing data to make the results more convincing.
Prevention recommendations on noise health hazards
It can conclude that the prevalence rates of NIHL and hypertension are high in our study workers and occupational noise exposure is an important factor. We suggest that reducing noise exposure in the workplaces and improving preventive measure to prevent occupational noise-exposed workers from NIHL, hypertension, and other adverse health effects. In addition, occupational noise-exposed workers should strengthen own protection consciousness and wear earplugs properly while working.
Regular PTA examination and blood pressure monitoring should be performed by physicians among occupational noise-exposed workers. Also, safety standards for noise in the workplaces should also be monitored regularly to decide if compliance with the safety standards of industrial noise. Finally, if workers were identified to have potential risk of developing NIHL and hypertension by screening should be transferred to new job post with less or no noise exposure.
In this study, based on the data of occupational health checkups from 42,588 occupational noise-exposed workers, we can draw the following conclusions: (1) a large number of workers exposed to occupational noise, and the mean noise exposure time was > 9.20 years; (2) the prevalence rates of NIHL and hypertension were 24.38% and 25.40%, respectively; (3) the prevalence of NIHL and hypertension increased with age, noise exposure time and exposure level; (4) significantly higher risk of NIHL and hypertension was observed especially in the group of male gender, aged > 35 years, noise exposure time > 5 years, noise exposure level > 85 dB (A), and smoking; (5) finally, of all the study participants, 32.25% workers with NIHL were diagnosed with hypertension, indicating that workers with NIHL were at higher risk of developing hypertension than that of normal hearing workers.
The findings of this study suggest that occupational noise is an important occupational health risk affecting workers’ health and putting the workers’ health at a high risk. Hence, it is urgent to reduce noise exposure among workers in workplaces by performing regularly industrial noise monitoring and health risk evaluation, strengthening the implementation of safety standards of industrial noise, and raising workers’ awareness of wearing earplugs properly, and carrying out high-risk population screening.
Acknowledgments
The authors thank every worker for their participations in this study.
Authors′ contributions
Conceptualization, YP; investigation, LM; methodology, LM, JZ; data collection, LM; formal analysis, LM; supervision, JZ and LY; writing-original draft, LM; writing-review and editing, JZ, LY and YP; The authors read and approved the final manuscript.
Funding
This study was supported by the Open Research Fund of State Key Laboratory of Bioelectronics, Southeast University.
Data availability
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The present study was approved by the Ethics Committee of Zhongda Hospital, Affiliated Hospital of Southeast University (approval No: 2020ZDSYLL150-P01). Informed consent was also obtained from all individual participants included in the study.
Consent to publish
The participant has consented to the submission of the case report to the journal.
Competing interests
The authors declare that they have no conflicts of interest.
Author details
1Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Table 1 Demographic characteristics of the study occupational noise exposure workers |
|||
Characteristics |
Mean ± SD |
n |
% |
Gender |
|||
Female |
10750 |
25.24 |
|
Male |
31838 |
74.76 |
|
Age (years) |
36.58 ± 9.56 |
||
18–34 |
18865 |
44.30 |
|
35–44 |
13363 |
31.38 |
|
≥45 |
10360 |
24.33 |
|
Noise exposure time (years) |
9.20 ± 8.38 |
||
< 5 |
16425 |
38.57 |
|
5–10 |
12790 |
30.03 |
|
> 10 |
13373 |
31.40 |
|
Noise exposure level (dB (A)) |
88.07 ± 7.39 |
||
≤ 85 |
16009 |
37.59 |
|
86-91 |
8484 |
19.92 |
|
≥ 92 |
18095 |
42.49 |
|
Smoking status |
|||
No |
28346 |
66.56 |
|
Yes |
14242 |
33.44 |
|
Drinking status |
|||
No |
28311 |
66.48 |
|
Yes |
14277 |
33.52 |
|
Binaural high frequency threshold on average (dB) |
23.09 ± 11.32 |
||
SD, standard deviation; dB, decibel |
Table 2 Prevalence of NIHL of different severity in the study occupational noise exposure workers |
||||
Variable |
BHFTA (dB) |
n |
Prevalence (%) |
Proportion (%) |
Normal hearing |
≤ 25 |
32205 |
- |
- |
Mild |
26-40 |
7139 |
16.76 |
68.76 |
Moderate |
41-70 |
3025 |
7.1 |
29.13 |
Severe |
71-90 |
191 |
0.45 |
1.84 |
Profound |
≥ 91 |
28 |
0.07 |
0.27 |
Total |
- |
42588 |
24.38 |
100.00 |
NIHL, noise-induced hearing loss; BHFTA, binaural high frequency threshold on average; dB, decibel |
Table 3 Blood pressure level and prevalence of hypertension in the study occupational noise exposure workers |
|||
Variable |
Mean ± SD |
n |
% |
Systolic blood pressure (mmHg) |
126.85 ± 15.94 |
||
Diastolic blood pressure (mmHg) |
79.94 ± 11.61 |
||
Normotension |
31772 |
74.60 |
|
Hypertension |
10816 |
25.40 |
|
SD, standard deviation |
Table 4 Stratified analysis of BHFTA and prevalence of NIHL by different variable groups |
|||||||||||
Variable |
n |
BHFTA (dB) |
P |
|
Normal hearing |
|
NIHL |
Pe |
Adjusted OR (95% CI)f |
||
Mean ± SD |
|
n |
% |
|
n |
% |
|||||
Gender |
|||||||||||
Female |
10750 |
22.14 ± 9.60 |
< 0.001a |
8529 |
79.34 |
2221 |
20.66 |
< 0.001 |
1.00 (ref) |
||
Male |
31838 |
23.41 ± 11.83 |
23676 |
74.36 |
8162 |
25.64 |
1.51 (1.41-1.61) |
||||
Age (years) |
|||||||||||
< 35 |
18865 |
20.69 ± 8.06 |
< 0.001b |
16271 |
86.25 |
2594 |
13.75 |
< 0.001 |
1.00 (ref) |
||
35–44 |
13363 |
23.86 ± 11.45c |
9696 |
72.56 |
3667 |
27.44 |
1.91 (1.79-2.04) |
||||
> 44 |
10360 |
26.47 ± 14.72cd |
6238 |
60.21 |
4122 |
39.79 |
3.16 (2.96-3.37) |
||||
Noise exposure time (years) |
|||||||||||
< 5 |
16425 |
20.46 ± 7.67 |
< 0.001b |
14673 |
89.33 |
1752 |
10.67 |
< 0.001 |
1.00 (ref) |
||
5–10 |
12790 |
24.30 ± 12.06c |
8859 |
69.27 |
3931 |
30.73 |
3.33 (3.12-3.54) |
||||
> 10 |
13373 |
25.16 ± 13.51cd |
8673 |
64.85 |
4700 |
35.15 |
2.73 (2.55-2.92) |
||||
Noise exposure level (dB (A)) |
|||||||||||
≤ 85 |
16009 |
80.23 ± 4.79 |
< 0.001b |
12637 |
78.94 |
3372 |
21.06 |
< 0.001 |
1.00 (ref) |
||
86-91 |
8484 |
88.15 ± 1.91c |
6231 |
73.44 |
2253 |
26.56 |
1.36 (1.27-1.45) |
||||
≥ 92 |
18095 |
94.97 ± 2.17cd |
13337 |
73.71 |
4758 |
26.29 |
1.30 (1.23-1.37) |
||||
Smoking status |
|||||||||||
No |
28346 |
22.44 ± 10.57 |
< 0.001a |
22252 |
78.50 |
6094 |
21.50 |
< 0.001 |
1.00 (ref) |
||
Yes |
14242 |
24.38 ± 12.58 |
9953 |
69.88 |
4289 |
30.12 |
1.10 (1.04-1.16) |
||||
Drinking status |
|||||||||||
No |
28311 |
22.88 ± 11.03 |
< 0.001a |
21643 |
76.45 |
6668 |
23.55 |
< 0.001 |
1.00 (ref) |
||
Yes |
14277 |
23.51 ± 11.86 |
|
|
10562 |
73.98 |
|
3715 |
26.02 |
|
0.95 (0.90-1.00) |
BHFTA, binaural high frequency threshold on average (dB); NIHL, noise-induced hearing loss; dB, decibel; SD, standard deviation; OR, odds ratio; CI, confidence interval |
|||||||||||
a t-test of the difference between two groups |
|||||||||||
b Kruskal-Wallis test of the difference between three groups |
|||||||||||
c Mann-Whitney test for a significant difference compared with the age < 35 years, noise exposure time < 5 years and noise exposure level ≤ 85 dB (A) groups |
|||||||||||
d Mann-Whitney test for a significant difference compared with the age 35-44 years, noise exposure time 5-10 years and noise exposure level 86-91 dB (A) groups |
|||||||||||
e Two-sided χ2 test for the frequency distributions of variables between groups |
|||||||||||
f Adjusted for gender, age, noise exposure time, noise exposure level, smoking and drinking status in logistic regression model |
Table 5 Stratified analysis of the levels of SBP and DBP and prevalence of hypertension by different variable groups |
|||||||||
Variable |
n |
Resting SBP |
P |
Resting DBP |
P |
Hypertension |
Pe |
Adjusted OR (95% CI)f |
|
Mean ± SD (mm Hg) |
Mean ± SD (mm Hg) |
n |
% |
||||||
Gender |
|||||||||
Female |
10750 |
122.53 ± 15.91 |
< 0.001a |
76.64 ± 10.90 |
< 0.001a |
1808 |
16.82 |
< 0.001 |
1.00 (ref) |
Male |
31838 |
128.31 ± 15.68 |
81.06 ± 11.64 |
9008 |
28.29 |
2.18 (2.04-2.34) |
|||
Age (years) |
|||||||||
< 35 |
18865 |
123.28 ± 13.88 |
< 0.001b |
76.85 ± 10.37 |
< 0.001b |
2832 |
15.01 |
1.00 (ref) |
|
35–44 |
13363 |
127.32 ± 16.01c |
80.86 ± 11.83c |
3739 |
27.98 |
< 0.001 |
2.32 (2.18-2.47) |
||
> 44 |
10360 |
132.74 ± 17.45cd |
84.38 ± 11.83cd |
4245 |
40.97 |
< 0.001 |
3.82 (3.58-4.07) |
||
Noise exposure time (years) |
|||||||||
< 5 |
16425 |
124.52 ± 14.89 |
< 0.001b |
77.98 ± 10.92 |
< 0.001b |
3124 |
19.02 |
1.00 (ref) |
|
5–10 |
12790 |
126.70 ± 15.95c |
79.63 ± 11.65c |
3077 |
24.06 |
< 0.001 |
1.14 (1.07-1.21) |
||
> 10 |
13373 |
129.85 ± 16.66cd |
82.67 ± 11.88cd |
4615 |
34.51 |
< 0.001 |
1.20 (1.13-1.28) |
||
Noise exposure level (dB (A)) |
|||||||||
≤ 85 |
16009 |
126.26 ± 15.64 |
< 0.001b |
79.53 ± 11.34 |
< 0.001b |
3748 |
23.41 |
< 0.001 |
1.00 (ref) |
86-91 |
8484 |
127.56 ± 16.23c |
80.44 ± 11.96c |
2314 |
27.28 |
1.22 (1.15-1.30) |
|||
≥ 92 |
18095 |
127.04 ± 16.04cd |
80.08 ± 11.68cd |
4754 |
26.27 |
1.15 (1.09-1.21) |
|||
Smoking status |
|||||||||
No |
28346 |
125.45 ± 15.76 |
< 0.001a |
78.70 ± 11.40 |
< 0.001a |
6154 |
21.71 |
1.00 (ref) |
|
Yes |
14242 |
129.63 ± 15.92 |
82.42 ± 11.64 |
4662 |
32.73 |
< 0.001 |
1.11 (1.05-1.17) |
||
Drinking status |
|||||||||
No |
28311 |
126.02 ± 15.96 |
< 0.001a |
79.27 ± 11.54 |
< 0.001a |
6675 |
23.58 |
1.00 (ref) |
|
Yes |
14277 |
128.50 ± 15.77 |
81.27 ± 11.65 |
4141 |
29.00 |
< 0.001 |
1.01 (0.96-1.06) |
||
SBP, systolic blood pressure; DBP, diastolic blood pressure; SD, standard deviation; OR, odds ratio; CI, confidence interval |
|||||||||
a t-test of the difference between two groups |
|||||||||
b Kruskal-Wallis test of the difference between three groups |
|||||||||
c Mann-Whitney test for a significant difference compared with the age < 35 years, noise exposure time < 5 years and noise exposure level ≤ 85 dB (A) groups |
|||||||||
d Mann-Whitney test for a significant difference compared with the age 35-44 years, noise exposure time 5-10 years and noise exposure level 86-91 dB (A) groups |
|||||||||
e Two-sided χ2 test for the frequency distributions of variables between groups |
|||||||||
f Adjusted for gender, age, noise exposure time, noise exposure level, smoking and drinking status in logistic regression model |
Table 6 The association between NIHL and hypertension |
||||||||
Group |
n |
Resting SBP |
|
Resting DBP |
|
Hypertension |
Adjusted OR (95% CI)c |
|
Mean ± SD (mm Hg) |
Mean ± SD (mm Hg) |
n |
% |
|||||
Normal hearing |
32205 |
125.82 ± 15.48 |
79.23 ± 11.32 |
7468 |
23.19 |
1.00 (ref) |
||
NIHL |
10383 |
130.03 ± 16.89 |
82.16 ± 12.21 |
3348 |
32.25 |
1.07 (1.02-1.13) |
||
P |
|
< 0.001a |
|
< 0.001a |
|
< 0.001b |
|
|
SBP, systolic blood pressure; DBP, diastolic blood pressure; SD, standard deviation; OR, odds ratio; CI, confidence interval |
||||||||
a t-test of the difference between two groups |
||||||||
b Two-sided χ2 test for the frequency distributions of variables between two groups |
||||||||
c Adjusted for gender, age, noise exposure time, noise exposure level, smoking and drinking status in logistic regression model |