Journal of Occupational and Environmental Hygiene
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Exposure to lead, mercury, styrene, and toluene and hearing impairment: Evaluation of dose- response relationships, regulations, and controls
Ehsan Hemmativaghef
To cite this article: Ehsan Hemmativaghef (2020): Exposure to lead, mercury, styrene, and toluene and hearing impairment: Evaluation of dose-response relationships, regulations, and controls, Journal of Occupational and Environmental Hygiene, DOI: 10.1080/15459624.2020.1842428 To link to this article: https://doi.org/10.1080/15459624.2020.1842428
Published online: 04 Dec 2020.
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REVIEW Exposure to lead, mercury, styrene, and toluene and hearing impairment: Evaluation of dose-response relationships, regulations, and controls
Ehsan Hemmativaghef Faculty of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
ABSTRACT KEYWORDS The risk of hearing loss from exposure to ototoxic chemicals is not reflected in occupational Biological exposure index; exposure limits and most jurisdictions. The aims of this research were to investigate dose- blood lead level; ototoxic response relationships between exposure to lead, mercury, toluene, and styrene and hearing chemicals; pure impairment based on current epidemiological evidence, conduct cross-jurisdictional compar- tone audiometry isons, and investigate control measures for exposure to ototoxic chemicals. Ovid Medline and Ovid Embase databases were used to find relevant publications. A total of 86 epidemio- logical studies met the eligibility criteria for final evaluation. When significant associations between exposure and outcome were identified, exposure levels were evaluated to deter- mine whether No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) could be identified. Cross-jurisdictional comparisons included the U.K., U.S., Canada, and Australia occupational health and safety legislations. The majority of lead (75%), styrene (74%), and toluene (77%) studies showed significantly increased risks of hear- ing loss from exposure to these substances, although numerous studies on toluene (70%) and styrene (16%) compared auditory function between “solvent mixture” or “noise and solvent mixture” exposed groups and controls and not necessarily on groups exposed to a single agent. Based on five studies, blood lead ranges of 1–1.99 lg/dL to 2.148–2.822 lg/dL were identified as NOAELs while blood lead levels of 2 lg/dL up to 2.823–26.507 lg/dL were identified as LOAELs for hearing loss. Except for general duty clauses, the U.S., Canadian, and Australian jurisdictions have set no enforceable regulations specific to ototoxic chemical exposures. A biological exposure index of 2 lg/dL is recommended for prevention of hear- ing impairment from lead exposure. Based on Safe Work Australia, noise exposure limits may be reduced to 80 dB(A) for 8 hr. Other recommendations include performing audiomet- ric testing and controlling exposure through all routes of entry.
Introduction “confirmed” ototoxic substances including pharma- Hearing loss is the fourth most prevalent disabling ceuticals, solvents, asphyxiants, nitriles, and metals. disease in the world (IHME 2017). The number of The classification was based on a weight of evidence people with disabling hearing loss is estimated to be approach obtained from at least two well-documented 466 million or 6.1% of the world’s population. This animal studies or a single comprehensive and reliable number is expected to grow over the coming years animal study providing consistent and coherent evi- and could rise to 630 million by 2030 and over 900 dence of ototoxic effects (Campo et al. 2009). million in 2050, unless preventive actions are taken The mechanism of damage to hearing varies (WHO 2018). depending on the chemical substance. An acute or Although loud noise has detrimental effects on chronic neurotoxic effect of exposure to aromatic sol- auditory function, it is not the only source of work- vents such as toluene and styrene is central nervous related hearing impairment. Exposure to ototoxic system (CNS) depression (NIOSH 1987;Moller€ et al. chemicals can increase the risk of hearing loss with or 1990; Greenberg 1997) while chronic exposures affect without concurrent noise exposure (Fechter and the inner ear (Pryor et al. 1983; 1987) causing irre- Pouyatos 2005; Gagnaire and Langlais 2005). The versible hearing impairment by poisoning cochlear European Agency for Safety and Health at Work clas- hair cells and disorganizing their membranous struc- sified several chemicals in five groups of substances as tures (Johnson and Canlon 1994; Campo et al. 2001).
CONTACT Ehsan Hemmativaghef [email protected] E Mall, 2206 E Mall, Vancouver, BC V6T 1Z3, Canada. ß 2020 JOEH, LLC 2 E. HEMMATIVAGHEF
Solvents may directly affect the cells of the organ of Examination Survey (NHANES) data collected from Corti forming chemically and biologically reactive 1999–2004 (Tak et al. 2009). Over 30 M U.S. workers intermediates including reactive oxygen species, which are exposed to hazardous chemicals in their workpla- may trigger the death of these cells (Chen et al. 2007). ces, some of which might be ototoxic and hazardous While exposures to solvents such as styrene and solv- to hearing (OSHA 2004; NIOSH 2018). ent mixtures are associated with disorders in the cen- The American Conference of Governmental V tral auditory pathway (Abbate et al. 1993; Morata Industrial Hygienists (ACGIH R ), in its Threshold et al. 1993; Greenberg 1997; Johnson et al. 2006), Limited Values and Biological Exposure Indices V exposure to lead and mercury may affect both the coch- (TLVs R and BEIs) publication, has included a note lea (Rice and Gilbert 1992;Rice1997) and the central entitled “Ototoxicant” under Definitions and auditory pathways (Discalzi et al. 1993;OttoandFox Notations. The note explains that the designation 1993;Lasky,Maier,Snodgrass,Hecox,Laughlin1995; “OTO” in the “Notations” column indicates the Lasky, Maier, Snodgrass, Laughlin, Hecox 1995). Similar potential for a chemical to cause hearing impairment to aromatic solvents, the hearing-damaging effects of from exposure to the chemical alone or in interaction lead and mercury are caused by a neurotoxic mechan- with noise of even below 85 dBA. The OTO notation ism (Discalzi et al. 1993; Counter and Buchanan 2002; is reserved for chemicals which adversely affect audi- Hwang et al. 2009). Lead exposure affects cognitive and tory capacity including permanent audiometric thresh- central auditory nervous system function and peripheral old shifts as well as difficulties in processing sounds nerve conduction (Araki et al. 1992). Blood lead levels based on animal studies or human experience. The are associated with adverse effects in conduction in the note also states that “Some substances may act syner- distal auditory nerve and are found to impair conduc- gistically with noise, whereas others may potentiate tion in the auditory nerve and pathway in the lower noise effects. The OTO notation is intended to focus brainstem (Bleecker et al. 2003). Dimethylmercury poi- attention, not only on engineering controls, adminis- soning is shown to damage the auditory neural system trative controls and personal protective equipment (Musiek and Hanlon 1999)andexposuretomethyl needed to reduce airborne concentrations, but also on mercury chloride causes nerve conduction hypersensitiv- other means of preventing excessive combined expo- ity in the brainstem (Wassick and Yonovitz 1985). sures with noise to prevent hearing disorders. Carbon monoxide and hydrogen cyanide deprive oxy- Specifically, affected employees may need to be genwithinthecochlea(Campoetal.2013) impairing enrolled in hearing conservation and medical surveil- the cochlear function under extreme exposure condi- lance programs to more closely monitor auditory cap- tions but have reversible auditory effects when exposure acity, even when noise exposures do not exceed the levels are low (Campo et al. 2009). Aminoglycosides TLV for Audible Sound” (ACGIH 2019). Although penetrate the outer hair cells causing a reaction which employers are required to control risks of chemical generates the release of reactive oxygen species (ROS), exposures by the general duty clauses such as that resulting in death of cells (Rybak and Ramkumar 2007). contained in section 5(a)(1) of the U.S. OSH Act, Anti-neoplasticdrugscauselossofcochlearhaircells however, in most jurisdictions, they are not explicitly and cells of the spiral ganglion (Hamers et al. 2003). required to control the risks of hearing loss arising Exposure to nitriles is shown to cause cochlear hair cell from exposure to ototoxic chemicals. In addition, losses and spiral ganglion cell losses in animal studies these risks are not reflected in occupational exposure (Crofton et al. 1994;Soler-Mart ınetal.2007). limits. These issues have been linked to a lack of data In a recent study on the Australian workforce, on dose-response relationships and effects of exposure more than 80% of workers who were exposed to noise to ototoxic chemicals on hearing threshold shifts above Occupational Exposure Limit (OEL) were also based on human epidemiological studies (Lawton exposed to at least one ototoxic chemical (Lewkowski et al. 2006; Hoet and Lison 2008; Vyskocil et al. et al. 2019). In Europe in 2005, while 30% of workers 2008). The objectives of this research are: (1) to inves- reported being exposed to noise, about 45% were tigate dose-response relationships between exposure to exposed to ototoxic chemicals (Parent-Thirion et al. two heavy metals (lead and mercury) and two solvents 2007). The weighted prevalence of hazardous occupa- (toluene and styrene) and hearing impairment. The tional noise exposure among U.S. workers was esti- investigation will be based on current epidemiological mated to be 17.2% or 22.4 M workers out of the evidence to support recognition of hearing impair- estimated 130 M based on a representative number of ment as an outcome of exposure to these substances workers from the National Health and Nutrition and to determine whether occupational exposure JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 3
Figure 1. Summary of search strategy for selection of papers. limits or biological exposure indices may be estab- Methods lished for the selected substances; (2) to conduct Ovid Medline and Ovid Embase databases were used to cross-jurisdictional comparisons on regulations and find relevant publications. Lead, Mercury, Toluene, and guidelines on ototoxicity; and (3) to investigate con- Styrene were used as MeSH terms and keywords. trol measures for prevention of hearing loss from oto- Hearing Impairment was exploded and used as keyword toxic exposures. as well as Ototoxicity or Hearing or Deaf which were Multi-chemical exposures including exposures to used as keywords. Time parameters were not considered solvents and some heavy metals are ubiquitous. Due in the search. The scope of search was narrowed to epi- to the widespread use of solvents and possibility for demiological studies and animal studies were excluded. exposure through multiple routes, almost all humans In the next step, only papers in English were selected. are exposed to solvent mixtures on a daily basis The search resulted in 391 papers from Ovid Embase (Bonventre 2014). In its 1987 intelligence bulletin, and 203 papers from Ovid Medline, including both NIOSH estimated that 9.8 million workers are occupational and non-occupational exposures. There exposed to organic solvents (NIOSH 1987). Toluene were 175 duplicate studies, 27 review papers, 25 confer- and styrene were chosen from the group of solvents ence abstracts, 10 notes, and 7 letters, which were as they are reported as the most extensively used excluded. Studies were eligible for inclusion if they aromatic solvents in industry (Meek and Chan measured exposure to one of the four substances of 1994). Lead is the most prevalent heavy metal con- interest and hearing loss or auditory functions as the taminant (Di Maio 2010) with over 1,600,000 U.S. health outcome. The abstracts of the remaining 351 workers and approximately 277,000 Canadians papers were reviewed to determine whether they met exposed to it in their workplaces (CAREX Canada the inclusion criteria and 264 papers were excluded, 2016;Musick2017). leaving a final 86 papers for evaluation (Figure 1). 4 E. HEMMATIVAGHEF
Table 1. Summary of literature review. Lead Mercury Styrene Toluene Number of studies 33 9 19 26 Study design Cross-sectional 29 8 15 18 Retrospective 1 2 3 Case study 1 1 Case control 1 1 Prospective 3 Retrospective case control 1 2 Cross-sectional and 1 prospective Exposure assessments Blood 29 4 2 2 Airborne 5 14 23 Nail 1 1 Hair 1 3 Mandelic acid (MA) 5 Noise 5 15 9 Other cases 1 (bone) 1 (poisoned) 2 (other metabolites) 1 (BMA) 2 (hippuric acid) Auditory function* PTA 27 6 18 20 Bone conduction 1 3 4 BAER 5 4 3 DPOAE 3 3 4 1 TEOAE 1 4 1 ASR 1 1 Other tests 1 (SPM-HKC) 1 (tuning fork) 4 1 (VEMP) 1 (CEOAE) 4 (HINT, ART, DD, FS, 1 (neurobehavioral PPS, RGD) evaluation system Significant association 24 5 12 4 Concurrent association 1 (toluene) 2 (noise & solvents) 6 (noise & solvents) (along with other agents) 1 (noise & chemicals) 1 (noise & metals) 9 (solvents) 2 (noise) No association 8 4 5 6 PTA: Pure Tone Audiometry; BAER: Brainstem Auditory Evoked Response; DPOAE: Distortion Product Otoacoustic Emissions; TEOAE: Transient Evoked Otoacoustic Emissions; ASR: Automatic Speech Recognition; CEOAE: lick-evoked otoacoustic emissions; VEMP: vestibular evoked myogenic potential; ART: Acoustic Reflex Threshold; HINT: Hearing In Noise Test; DD: dichotic digit, FS: filtered speech, PPS: pitch pattern sequence, and RGD: random gap detection.
Research was reviewed to find if there were any Cross-jurisdictional comparisons of U.K., Canada, relationships between exposure to substances of inter- Australia, and U.S. occupational health and safety est and hearing impairment. When significant associ- legislations were conducted. Jurisdictions were selected ations were identified, exposure levels were evaluated from top four industrialized, high-income countries to determine whether concentrations associated with with developed occupational health and safety legisla- increased risk of hearing loss could be identified tion systems where legislation was available in including the No Observed Adverse Effect Level English. The online portal of International Labor (NOAEL) and/or the Lowest Observed Adverse Effect Organization (ILO 2014) was used to identify and Level (LOAEL). NOAEL is the highest exposure level access legislation. The websites of regulatory organiza- at which there are no statistically significant increases tions were also searched for any relevant guidelines. in the frequency or severity of adverse effects between The keywords used for search in the regulations and the exposed group and its appropriate control. guidelines were “ototoxicity” and “hearing loss.” The LOAEL is the lowest exposure level at which there aim was to find how non-auditory hearing loss is are statistically significant increases in the frequency handled by jurisdictions as a workplace exposure and or severity of adverse effects between the exposed identify recommended or required control measures. population and its appropriate control (Lewis et al. 2002). Results When evaluating studies which used multiple regres- sion analysis, if odds ratios were found to be above 1 A summary of the literature review is provided in and the 95% CI did not span 1, it was concluded that Table 1. Details on exposure and outcome assessment the increased odds of outcome from exposure reaches techniques, number and age of participants, study statistical significance (Szumilas 2010). designs and main findings of each study are provided Table 2. Summary of research on exposures to lead (N ¼ 30) and lead and mercury (N ¼ 2). One more study on lead is listed under Table 4. Reference Exposure Outcome No. of Participants Age Study Design Main Findings (Xu et al. 2020) Blood Lead Level (BLL): PTA: 0.25–8 kHz 116 3–7 Cross-sectional BLL in exposed group increased odds 3.61–7.40; mean: 5.29 lg/ of HL (OR 1.40, 95% CI: 1.06, 1.84) dL (exposed); 2.98–4.77; compared with reference group. mean: 3.63 lg/ dL (unexposed) (Huh et al. 2018) BLL: 0.515–26.507 lg/dL PTA: 0.5–6 kHz 2,387 19–85 Cross-sectional Q3 of BLL (2.248–2.723 lg/dL) increased odds of HL at 4 kHz (OR 1.72, 95 CI: 1.06–2.80). (Cai et al. 2019) BLL cut off value: 5 lg/dL Sensory Processing Measure 574 3–6 Cross-sectional BLL > 5 lg/dL is associated with (high vs. low) SPM-HKC higher scores for hearing system. (Liu et al. 2018) BLL (median), exposed: PTA: 0.25–8 kHz (except for 234 3–7 Cross-sectional BLL of exposed group increased odds 4.94 ± 0.20, non-exposed: 3 & 6 kHz) of HL (OR 1.24 (95% CI: 3.85 ± 1.81 lg/dL 1.029, 1.486)).
(Al-khfajy BLL: study group: PTA: 0.5–8 kHz 51 13–75 Cross-sectional BLL of patients with hearing et al. 2018) 23.14 ± 1.76 lg/dL; control impairment is significantly elevated group: 21.20 ± 2.08 lg/dL compared to control group. (Kang et al. 2018) BLL of males: 1.56–4.22 lg/ PTA: low frequency: 6,409 20 or older Cross-sectional Q4 of male BLL (4.22 ± 0.08 mg/dL) dL; females: 0.5–2 kHz; high frequency: increased odds of high frequency 1.12–3.03 lg/dL 3–6 kHz HL (OR 1.629, (1.161–2.287). Q4 of female BLL (3.03 ± 0.03 mg/dL) increased odds of high frequency HL (OR 1.502, 1.027–2.196). (Choi and BLL: 0.3–26.5 lg/dL; Blood PTA (high frequency): 5,515 20–87 Cross-sectional Q4 of BLL (2.823 26.507 mg/dL) Park 2017) Hg: 0.3–60.6 lg/dL 3–6 kHz; (speech 879 12–19 increased odds for high frequency frequency: 0.5–4 kHz HL (OR 1.70, 1.25, 2.31). No
(excluding 3 kHz) association between blood Hg HYGIENE ENVIRONMENTAL AND OCCUPATIONAL OF JOURNAL and HL. (Huh et al. 2016) BLL: GM ¼ 2.08 (95% CI: PTA: 2–4 kHz 7,596 10–87 Cross-sectional Each 1 mg/dL increase in BLL 2.05, 2.11 lg/dL) increased odds of HL 1.43 times (OR 1.43, 1.03, 2.00). Q4 of BLL (2.278–2.919 mg/dL) increased odds of HL (OR 1.41, 1.04, 1.92). (Pawlas et al. 2015) BLL: median of 36.0 lg/L PTA: 0.5–8 kHz excluding 483 4–13 Cross-sectional Significant correlation between BLL and 55.0 lg/L among 3 kHz, TOAE: 1–5 kHz and PTA (rS¼ 0.12; P < 0.01) and 2 groups between BLL and TOAE (rS¼ 0.24 ;P< 0.001) (Alvarenga BLL: 10 g/dL (eligibility PTA: 0.5–4 kHz, 130 18 months–14 years Cross-sectional No association between BLL and et al. 2015) criteria); mean: 12.2 g/dL TEOAE: 1.5–5 kHz auditory function. (Choi et al. 2012) BLL: 1.54 mg/dL (GM); noise: PTA: 0.5–8 kHz 3,698 20–69 Cross-sectional No association between BLL and HL. exposed vs. unexposed (Abdel Rasoul BLL: 6.72 ± 4.3 mg/dL PTA: 0.25–-8 kHz 190 Not provided Cross-sectional BLL is associated with hearing et al. 2012) (mean ± SD); threshold. BLL 10 mg/dL is environmental Pb: associated with 18.8 ± 9.42 while 73–80.0 ppm; area BLL < 10 mg/dL is associated with noise: 55.0 ± 17.14 dB 15.63 ± 7.89 threshold shift in hearing (p ¼ 0.03). (Shargorodsky BLL: median Q1: 0.47 lg/dL, PTA: 0.5–8 kHz 3,389 12–19 Cross-sectional BLL 2 lg/dL increased odds of high et al. 2011) Q4: 1.57 lg/dL and blood frequency (3–8 kHz) HL (OR, 2.22; HL: > 15 dBA (Continued) 5 6 Table 2. Continued. Reference Exposure Outcome No. of Participants Age Study Design Main Findings .HEMMATIVAGHEF E. Hg: median Q1: 0.20 lg/ 95% CI, 1.39–3.56). No association dL, Q4: 1.28 lg/dL between HgB & HL. (Galal et al. 2011) BLL; exposed group: 52.5 mg/ PTA: 0.25–8 kHz 111 20–60 Cross-sectional A significant positive correlation was dl þ 21.5 found between BLL and HL at non-exposed: 18.2 mg/dl HL: >15 dB 0.5–2 kHz (r ¼ 0.7), 4 kHz (r ¼ 0.63), þ 5.9 6 kHz (r ¼ 0.67), and Area noise 8 kHz (r ¼ 0.69). (Counter BLL: 4.0–83.7 lg/dL ASR: 0.5–2 kHHz; broadband 117 2–18 Cross-sectional No association between ASR decay/ et al. 2011) noise (0.125–4 kHz) adaptation (ASRD) and BLL for any of the stimulus activators. (Buchanan BLL: 4.2–94.3 lg/dl DPOAE: 1.187–7.625 kHz 53 6–16 Cross-sectional No significant correlation between BLL et al. 2011) and hearing sensitivity for 6 pure- tone test frequencies from 1–8 kHz. (Park et al. 2010) Bone lead levels in tibia PTA: 0.25–8 kHz 448 21–80 Cross-sectional and An IQR increment in patella lead (22.5 ± 14.2 mg/g) and prospective (21 mg/g) was associated with a patella (32.5 ± 20.4 mg/g) 48% (OR ¼ 1.48, 95% CI, 1.14, 1.91) higher odds of HL in air conduction PTA. (Counter et al. BLL: 4–128 lg/dl PTA; ABR; otoscopy, 3 14, 16, 19 Case study There were significant neurocognitive 2009) tympanometry and deficits, with demonstrated severe otoacoustic emissions and chronic Pb intoxication that measurements. cannot be attributed to neurosensory hearing loss. (Hwang et al. 2009) BLL: 55.9 ± 33.9 lg/dl PTA: 0.5–8 kHz 412 36.0 ± 6.5 Cross-sectional BLL > 7 mg/dL was significantly (mean ± SD); area noise: associated with hearing loss at 62.2 ± 0.5 dB (office) to 3–8 kHz (ORs from 3.06–6.26 85.5 ± 8.6 dB (p < 0.05-p < 0.005). There was no (furnace area) interaction between BLL and noise exposure on hearing loss level. (Chuang BLL: 106.62 lg/dl (GM), PTA: 0.5–6 kHz 294 39.4 ± 9.8 Case control The net effect of Pb is 7.11 dB when et al. 2007) selenium, manganese, increasing 1 lg/L (ppb or 0.1 lg/ and arsenic dL) logarithmic transformed lead level. (Counter and BLL: 11.2–80.0 mg/dL PTA: 0.25–8 kHz 30 17–55 Cross-sectional There was no statistically significant Buchanan 2002) Bone conduction, BAER relationship between BLL and pure- tone threshold at any frequency. (Wu et al. 2000) BLL: (mean): 56.9 mg/dl, PTA: 0.5–8 kHz 339 mean: 37 Cross-sectional There is a significant correlation ambient lead: excluding 3 kHz between a high, long-term Pb 0.190 ± 0.331 mg/m3, exposure index (i.e., duration of noise: 86 dBA employment & ambient Pb levels) and decreased hearing ability. (Szanto et al. 1999) BLL of adults: 15–40 mg/dl; PTA 147 20–50 Cross-sectional There was a statistically significant BLL of children: 20 and 152 7–12 decrease of the hearing threshold 70 mg/dl; BLL of reference to 6 and 8 kHz in the exposed, as groups: <15 mg/dl compared to the non- exposed women. (Osman et al. 1999) BLL: 19–281 mg/L PTA: 0.5–8 kHz 155 4–14 Cross-sectional BLL had a significant (P < 0.001) BAEP impact on hearing thresholds even at BLL <10 mg/dL. (Buchanan 1999) BLL of children: DPOAE 14 5–14 Cross-sectional No consistent correlation of DPOAEs 33.4–118.2 mg/dl, BLL of 5 17–51 with BLL was found. adults: 19.2–55.7 mg/dl (Farahat Maximum respirable Pb: PTA: 0.25–8 kHz 90 20–40 Cross-sectional Significant association between et al. 1997) 23.7 mg/m3; BLL: hearing thresholds and BLL 36.94 ± 4.36 mg/dL at 8000 Hz. (mean ± SD); noise: up to 50 dBA, (Forst et al. 1997) BLL: 1–18 mg/dl PTA: 0.5–6 kHz 183 19–65 Cross-sectional A statistically significant correlation between BLL and elevated hearing threshold at 4 kHz (P ¼ 0.03); but not in other frequencies. (Counter, BLL: 6.2–128.2 mg/dL PTA: 0.25–8 kHz; ABR 107 4 months–15 years Cross-sectional No relation between BLL and auditory Buchanan, (exposed group) thresholds, neural transmission et al. 1997) times or normal wave latencies. (Schwartz and BLL: 5–18 mg/dL (mean in PTA: 0.5–4 kHz 3,545 6–19 Cross-sectional Pb was associated with an increased Otto 1991) each study group) risk of hearing thresholds at 0.5–4 kHz. The relationships appeared to continue when BLL < 10 mg/dl. An increase of BLL, from 6 mg/dl to 18 mg/dl, was associated with a 2-dB loss in hearing at all frequencies. (Schwartz and BLL: <1toþ 45 mg/dL PTA: 0.5–4 kHz 4,519 4–19 Cross-sectional BLL is associated with increased Otto 1987) excluding 3 kHz hearing thresholds at 0.5–4 kHz (p < .0001). (Counter, Vahter, BLL: 9.9–110 mg/dl (exposed), PTA: 0.5–8 kHz; 82 4–15 Cross-sectional Blood Hg and BLL were not et al. 1997) 3.9–12.0 mg/dl ABR associated with auditory function. (unexposed); Hg (blood):
0.04-0.58 mg/dL HYGIENE ENVIRONMENTAL AND OCCUPATIONAL OF JOURNAL (Saunders Hg¼ 0.31 mg/g & Pb ¼ PTA: 0.5–4 kHz; DPOAE 89 9–78 Cross-sectional PB is associated with DPOAE at et al. 2013) 3.93 mg/g (in nails) 3&4 kHz but no relationship - median between Hg & HL. 7 8 E. HEMMATIVAGHEF in Tables 2–5. In some papers, exposure to more than Based on five studies, blood lead ranges between one substance of interest was studied. These studies 1–1.99 lg/dL (Shargorodsky et al. 2011)upto were grouped with either of the other substance(s). 2.148–2.822 lg/dL (Choi and Park 2017) were identi- fied as NOAELs. Blood lead levels between 2 lg/dL Lead (Shargorodsky et al. 2011) up to a range of 2.823–26.507 lg/dL (Choi and Park 2017) were identi- Thirty-three epidemiological studies on the effects of fied as LOAEL. The LOAEL at 2 lg/dL was associated exposure to lead on hearing impairment were eligible with an increased odds of hearing loss of 2.22 (95% for final review including 29 cross-sectional studies. CI 1.39–3.56) (Shargorodsky et al. 2011) while a blood Blood Lead Level (BLL; N ¼ 29) and Pure Tone lead range of 2.823–26.507 lg/dL was associated with Audiometry (PTA; N ¼ 27) were the most frequently an increased odds of hearing loss of 1.70 (95% CI used assessment techniques for measuring exposure 1.25–2.31) (Choi and Park 2017). The other study and outcome, respectively. Exposure to noise was eval- which could be used for deriving NOAEL and LOAEL uated and compared among high to low noise exposed values, used relatively higher BLLs as reference includ- groups or adjusted as a potential confounder in nine- ing a BLL of less than 4 lg/dL and BLL between 4 teen studies. Five of these studies measured personal and 7 lg/dL. There were no significant associations or environmental noise levels while other studies pri- between exposure and hearing loss at these levels. marily used self-reported noise exposure status. However, significant increased odds of hearing loss Fourteen studies did not evaluate potential effects of were observed at 3, 4, 6, and 8 kHz at concentration l co-exposures to noise on hearing loss. Approximately 7 g/dL (Hwang et al. 2009). Other research com- 75% of studies (N ¼ 25) provided evidence of statistic- paring exposed to non-exposed groups or using cut ally significant increased odds of hearing loss or a sig- off values for BLL found varying levels of BLL to be nificant association between exposure to Pb and significantly associated with hearing loss including a l increased hearing thresholds (Schwartz and Otto 1987; median BLL of 4.94 ± 0.20 g/dL (Liu et al. 2018), BLL l 1991; Farahat et al. 1997; Forst et al. 1997; Osman between 3.61 and 7.40 g/dL (Xu et al. 2020), BLL l m et al. 1999; Szanto et al. 1999; Wu et al. 2000; Chuang 5 g/dL (Cai et al. 2019), and a BLL 10 g/dl (Schwartz and Otto 1991). et al. 2007; Counter et al. 2009; Hwang et al. 2009; Park et al. 2010; Galal et al. 2011; Shargorodsky et al. 2011; Abdel Rasoul et al. 2012; Saunders et al. 2013; Mercury Huh et al. 2016; Choi and Park 2017; Al-khfajy et al. Nine studies on mercury were eligible for final review 2018; Kang et al. 2018; Liu et al. 2018; Schaal et al. including eight cross-sectional studies and a case 2018; Cai et al. 2019; Xu et al. 2020). Among these study. Blood mercury levels (N ¼ 6) and PTA (N ¼ 9) studies, six papers identified a concentration or a were the primary methods used to assess exposure quartile of BLL, that was associated with increased and hearing impairment, respectively. One study odds of hearing loss compared with the reference adjusted for the effect of self-reported noise exposure group (Hwang et al. 2009; Shargorodsky et al. 2011; status on the potential relationship between hearing Huh et al. 2016; Choi and Park 2017; Huh et al. 2018; test results and mercury levels. None of the other m Kang et al. 2018). One study found each 1 g/dL eight studies on mercury evaluated effects of co-expo- increase in BLL increased odds of hearing loss 1.43 sures to noise on hearing loss. Four studies found no times (OR 1.43, 95% CI 1.03, 2.00) (Huh et al. 2016). significant association between mercury exposure and Eight studies found no significant association between hearing loss (Dutra et al. 2012; Maruyama et al. 2012; exposure to lead and hearing loss (Counter, Saunders et al. 2013; Orlando et al. 2014). One study Buchanan, et al. 1997; Counter, Vahter, et al. 1997; showed a significant correlation between blood Hg Buchanan 1999; Counter and Buchanan 2002; levels and hearing thresholds at 3 kHz in the right ear Buchanan et al. 2011; Counter et al. 2011; Choi et al. in children, but not adults (Counter et al. 1998). 2012; Alvarenga et al. 2015). Table 6 details the blood Similarly, another study showed Automatic Speech lead levels (in lg/dL), odds ratios, and frequencies for Recognition (ASR) thresholds in children exposed to hearing impairment. It also includes blood lead con- an average HgB of 15.6 lg/L (range: 2.0–89 lg/L) centrations identified as NOAEL or LOAEL based on increased significantly with HgB level but found no the significance level of odds ratios. This information significant associations between HgB and hearing loss is also illustrated in Figure 2. among adults (Counter et al. 2012). Other studies JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 9 showed an increased latency of peak III of the Styrene Brainstem Auditory Evoked Response (BAER) poten- m Nineteen papers including 15 cross-sectional papers tials at 40 Hz when Hg exposure exceeded 10 g/g were eligible for final review on relationship between (Murata et al. 1999) and abnormal Auditory exposure to styrene and auditory function. Sixteen Brainstem Response (ABR) and inability to under- studies on styrene measured personal or environmen- stand speech in case study of methylmercury poison- tal noise exposures or employed data from previous ing (Musiek and Hanlon 1999). noise exposure assessments. Three of these studies used exposure levels only to screen study participants for eligibility while the remaining 13 papers evaluated the auditory effects of co-exposures to styrene and Toluene noise. Two other studies evaluated self-reported noise exposures for eligibility of participants and one study Twenty-six papers including 18 cross-sectional studies did not address the effect of noise exposure on evaluated the effects of toluene exposure on hearing hearing. About 63% of studies (N ¼ 12) demonstrated impairment. Twenty-three studies evaluated the audi- a significant increased hearing loss from exposure tory effects of co-exposures to toluene and noise. to styrene (Muijser et al. 1988; Morioka et al. Twenty-two papers measured personal or environ- 1999; Morata et al. 2002; Sliwinska-Kowalska et al. mental noise exposures or obtained data from previ- 2003; Sliwinska-Kowalska et al. 2005; Johnson ous noise assessments. In six studies, noise exposure et al. 2006; Triebig et al. 2009; Zamyslowska-Szmytke was only used as a criterion for inclusion or exclusion et al. 2009; Morata et al. 2011; Sisto et al. 2013; of study participants while one study did not address Pudrith and Dudley 2019; Sliwinska-Kowalska et al. the impact of exposure to noise and the outcome. 2020) including increased odds of 3.9-fold (95% CI Four studies showed a positive relationship between 2.4–6.2) (Sliwinska-Kowalska et al. 2005) and 5.2-fold exposure to toluene and hearing impairment (Abbate (95% CI ¼ 2.9–8.9) (Sliwinska-Kowalska et al. 2003) et al. 1993; Morata, Fiorini, et al. 1997; Hsu et al. for hearing loss. One study showed that the odds ratio – 2015; Staudt et al. 2019). One of these studies showed for hearing loss was 2.44 (95% CI, 1.01 5.89) for each an increased odds of hearing loss (OR 1.76, 95% CI millimole of mandelic acid per gram of creatinine in 1.00–2.98) for each microgram of hippuric acid per urine (Morata et al. 2002). Two other research found gram of creatinine and an increased odds of 4.4 (95% a positive relationship between exposure to a mixture CI 2.50–7.45) for hearing loss for 2.5 mg/g creatinine of solvents including styrene and hearing impairment of hippuric acid (Morata, Fiorini, et al. 1997). Sixteen or reduced amplitudes of otoacoustic emissions ł other studies found significant differences in hearing (Su kowski et al. 2002; Botelho et al. 2009). In five other studies no significant associations were found thresholds among “solvent mixture”, “noise and solv- between exposure to styrene and hearing impairment ent mixture”, “metals, solvents and noise”,or“toluene (Sass-Kortsak 1995; Morioka et al. 2000; Hoffmann and noise” exposed groups compared with controls, et al. 2006; Staudt et al. 2019) or exposure to solvent where toluene was one of the solvents comprising the mixtures and hearing loss where styrene was one of solvent mixtures (Morata et al. 1993; Morata, Engel, the substances among the solvent mixture (Hughes et al. 1997;Sułkowski et al. 2002; Sliwinska-Kowalska and Hunting 2013). et al. 2003; De Barba et al. 2005; Prasher et al. 2005; Exposure to the four substances studied primarily Sliwinska-Kowalska et al. 2005; Chang et al. 2006; affected hearing at medium to high frequency range. Fuente and McPherson 2007; Rabinowitz et al. 2008; Lead exposure affected hearing thresholds predomin- Fuente et al. 2009; Mohammadi et al. 2010; Metwally antly in 3,000, 4,000, and 6,000 Hz frequencies et al. 2012;Juarez-Perez et al. 2014; Unlu et al. 2014; (Hwang et al. 2009; Shargorodsky et al. 2011; Huh Schaal et al. 2018). Four studies found no association et al. 2016; Choi and Park 2017; Huh et al. 2018; between toluene exposure and hearing loss (Morioka Kang et al. 2018). Studies on styrene and toluene also et al. 1999; Sch€aper et al. 2003; 2008; Pudrith and showed exposure primarily affected hearing thresholds Dudley 2019) and two studies found no additional at medium to high range frequencies of 3–8 kHz risk for hearing impairment among those exposed to (Muijser et al. 1988; Morata et al. 2002; Johnson et al. noise and solvents or solvents only, where toluene was 2006; Triebig et al. 2009; Sisto et al. 2013) for styrene among the solvents (Hughes and Hunting 2013; and 2–6 kHz for exposure to toluene concurrent with Loukzadeh et al. 2014). other solvent exposures (Prasher et al. 2005; Fuente 10 .HEMMATIVAGHEF E.
Table 3. Summary of research on exposures to mercury (N ¼ 7). Two more studies on mercury are listed under Table 2. Reference Exposure Outcome No. of Participants Age Study Design Main Findings (Orlando et al. 2014) Hg in hair: 6.89 ppm (mean) PTA: 0.5–8 kHz, excluding 517 18.1–20.6 Cross-sectional No association between MeHg 3 & 6 kHz; ABR exposure and HL. DPOAE: 1-6 kHz CEOAE: 1-4 kHz (Maruyama et al. 2012) Hg in hair > 100 mg/g Tuning fork of 512 Hz and a 103 31–63 Cross-sectional Prevalence odds ratios of hearing ticking watch; impairment and mercury content in phonation; etc. hair were not significant. (Counter et al. 2012) Hg (blood): 2.0–89 mg/L (children); PTA: 0.25–8 kHz, ASRT, ASRD 22 6–17 Cross-sectional The ASR thresholds in children 2.0–32 lg/L (adults) 29 19–83 increased significantly with HgB level (rho ¼ 0.433; p ¼ 0.008). No significant associations between HgB and HL based on PTA. (Dutra et al. 2012) Hg in umbilical cord: PTA: 0.25–8 kHz 90 8–10 Cross-sectional No significant differences between 14.63 mg/L (median) groups in hearing thresholds. (Musiek and Dimethylmercury poisoning PTA, DPOAE, ABR 1 48 Case study The patient showed inability to Hanlon 1999) understand speech, yet relatively good hearing sensitivity for pure tones. DPOAE showed minimal deficits in each ear. The ABR was abnormal, indicating neural and/or central involvement. (Murata et al. 1999) Hg (in hair) children: 0.4 to 26.0 lg/g; BAER, 149 Not provided Cross-sectional The mean (þ/-SD) latency of peak III Maternal: 1.1 to 54.4 lg/g Neuro-behavioral of the BAE potentials at 40 Hz was Evaluation System increased by 0.128þ/-0.047 ms when maternal hair-mercury levels exceeded 10 mg/g. (Counter et al. 1998) Hg (blood): 17.5 mg/L (mean) PTA: 0.5–8 kHz 109 Not available Cross-sectional Correlation coefficients showed a significant relationship between B- Hg level and hearing level in children at 3 kHz in the right ear, and at no frequency for adults. Table 4. Summary of research on exposures to toluene (N ¼ 18), toluene and styrene (N ¼ 7), and toluene and lead (N ¼ 1). Reference Exposure Outcome No. of Participants Age Study Design Main Findings (Hsu et al. 2015) Toluene: 100 350 ppm PTA: 0.5–3 kHz, 18 exposed 61 ± 9 Cross-sectional 50% of exposed ears had oVEMP, cVEMP, abnormal PTA average (>25 dB). 18 non-exposed 55 ± 7 (Loukzadeh Toluene: 79.8 or 4.97 ppm, other PTA: 0.5–8 kHz 99 Not provided Cross-sectional No association between solvents et al. 2014) solvents; noise: <75 dBA exposure and HL. (Ju arez-P erez Toluene: 1.1 495.9 ppm; other PTA: 0.125–16 kHz; 161 22–64 Cross-sectional Significant difference in et al. 2014) solvents; noise: 59.89–84.88 dBA bone 0.125–8 kHz PTA results conduction: between solvent exposed vs. 0.25–4 kHz; unexposed R2 ¼ 33% and BAEP 38%, (p < 0.001). (Unlu et al. 2014) Toluene: 26–36 mg/m3 and other PTA: 0.5–8 kHz 588 19–63 Retrospective HL was increased in solvent and solvents; noise: 78–87 dBA case control noise exposed workers in 2–8 kHz range. (Metwally Toluene: 142–182 mg/m3, other PTA: 0.5–8 kHz 222 35–53 Retrospective Higher prevalence of sensory et al. 2012) solvents; noise: 69–87 dBa case control neural hearing impairment (43%) in noise and solvents exposed group compared to noise only exposed group (24.3%). (Mohammadi Toluene: 19–31 mg/m3 and 3 other PTA: 0.5–8 kHz 411 33 ± 6 Cross-sectional Workers exposed to both solvents et al. 2010) solvents; noise: 75–88 dBA and noise had significantly increased odds of HL compared to only noise exposed (OR, 4.13; 95% CI, 2.59–6.58). (Fuente et al. 2009) Toluene: 0.001–131 ppm and PTA: 0.5– 8 kHz 110 21–56 Cross-sectional Solvent exposure is significantly methyl ethyl ketone; noise: and 12–16 kHz; associated with PTA 74–84 dBA dichotic (b ¼ 0.285, P ¼ 0.011). HYGIENE ENVIRONMENTAL AND OCCUPATIONAL OF JOURNAL digits test (Fuente and Toluene: 25.72 mg/m3 and other PTA: 0.25–8 kHz; 100 18–55 Cross-sectional Significant differences were noted McPherson solvents; noise: only participants HINT, DD, FS, for hearing thresholds at 1, 2, 3 2007) exposed to noise below 85 dBA PPS, RGD and 6 kHz for the right ear were included (p < 0.05), and at 1, 2 and 3 kHz for the left ear (p < 0.01) between exposed vs. non- exposed groups. (Sch€aper Toluene: 45 ± 17 vs. 10 ± 7 ppm PTA: 0.125–12 kHz 333 38.1 ± 9.8 Prospective Toluene exposure had no et al. 2008) (high vs. low exposed); significant effect on noise: 82 ± 7 hearing thresholds. (Rabinowitz Toluene: 4.0 ± 5.9 ppm, xylene, PTA: 3–6 kHz 1319 <35 Prospective Solvent exposure (OR ¼ 1.87, CI et al. 2008) and/or methyl ethyl ketone; 95% ¼ 1.22–2.89, p ¼ 0.004) noise: <82 and >88 dBa was a risk factor for high frequency HL. (Chang et al. 2006) Toluene: 33, 107.6, and 164.6 ppm; PTA: 0.5–6 kHz 176 40.0 ± 9.7 Cross-sectional The OR for HL for all toluene-noise noise: 67.9–90.1 dBA exposed workers was 7.7 and 4.2 times greater than that for the noise-only group. The risk of HL at the exposure of 200–530 year ppm was highest among other toluene cumulative exposures (OR ¼ 55.6; 95% CI, 9.7–317). 11 (Continued) Table 4. Continued. 12 Reference Exposure Outcome No. of Participants Age Study Design Main Findings –
(Prasher Toluene, benzene, n-hexane, PTA: 0.5 8 kHz 379 47.4 ± 7.5 Cross-sectional For solvents and noise group, HEMMATIVAGHEF E. et al. 2005) xylenes, naphthalene, etc. all TOAE, ABR, ART, significant differences were exposures were estimated. OKN and observed at 1, 4 & 6 kHz, but Personal noise exposure: other tests not at 0.5, 2, 3 & 8 kHz. 59.6 97.9 dBA (De Barba Toluene: 0.05 ppm; benzene, PTA: 0.5–8 kHz; 172 25–57 Cross-sectional Despite the low exposures to et al. 2005) xylene, butadiene; area bone solvents and a moderate noise: 68.2–91.8 conduction: exposure to noise, 45.3% of 0.5–4 kHz workers had HL and 29.6% had STS. (Sch€aper Toluene: 25.7 ± 20.1 ppm (printing) PTA: 0.125–12 kHz 333 24–56 Prospective Toluene exposure and all et al. 2003) 3.2 ± 3.1 ppm (end process); interactions of the stratification noise: 81.1 ± 3.5 dBA (printing) factors did not show significant effects on the auditory thresholds. (Morata, Fiorini, Toluene: 0.14 to 919 mg/m3, PTA: 0.5–8 kHz; 124 21–58 Cross-sectional The OR for HL was 1.76 for each et al. 1997) Hippuric acid: <0.5 to >5.5 g/g bone gram of hippuric acid per gram creatinine, ethyl acetate, conduction: of creatinine (95% CI 1.00–2.98). ethanol; noise: <80 to >91 dBA 0.5–4 kHz The OR for HL is 4.4 (95% CI 2.50–7.45) for 2.5 mg/g creatinine of hippuric acid (the biological index exposure (BEI)). (Morata, Engel, Toluene: 11 ppm (aromatics plant), PTA: 0.5–8 kHz 438 Mean: 40–44 Cross-sectional The OR for HL were 2.4 times et al. 1997) 13.2 ppm (maintenance); other greater for groups from aromatics; average noise: 87, aromatics (95% CI 1.0–5.7), and 88 dBA 3 times greater for the maintenance group (95% CI 1.3–6.9). (Morata et al. 1993) Toluene: 10–70 ppm, xylene, PTA: 0.5–8 kHz 190 Mean: 32–36 Cross-sectional The adjusted relative risk estimates benzene, methyl ethyl ketone were 11 times greater (95% CI and other chemicals; noise: 4.1–28.9) for the noise and 88–97 dBA toluene group, and 5 times greater (95% CI 1.4–17.5) for the solvent-mixture group. (Abbate Toluene: 97 ppm (exposed), PTA: 0.25–8 kHz 40 30–40 Cross-sectional Exposure to toluene is able to et al. 1993) hippuric acid: 2.7 g/l (average) BAEP induce a statistically significant alteration in the electric responses with both 11 and 90 stimuli repetitions. (Pudrith and Toluene: (BMA); styrene (PHEMA): PTA: 4–8 kHz 849 20–69 Retrospective PHEMA of 1.69 ng/mL (Q4 median) Dudley 2019) Q2: 0.495 ng/mL, Q3: 0.857 ng/ was associated with a HL mean mL, Q4: 1.69 ng/mL and MA of 2.49 dB. No significant association between BMA metabolite and HL. (Staudt et al. 2019) Toluene: 0.17 (ng/mL); and styrene PTA: 0.5–8 kHz 1,085–2,471 20–59 Cross-sectional Toluene increased odds of high- 0.04 (ng/mL) - median (IQR) of (HL: >15 dB) frequency HL (OR 1.27, 95% CI PTA assessed) (blood levels) 1.06–1.52). No association between styrene and HL. (Schaal et al. 2018) Toluene: 25 ppm, Pb: 0.03 mg/m3 PTA: 0.5–6 kHz 1,266 24–75 Retrospective The hearing threshold of high (exceedance fraction), noise metals/ solvents/ noise group changed 2.1 dB more than reference group. (Hughes and Toluene & styrene (levels not PTA: 2–4 kHz 503 25–>55 Retrospective No additional risk was found for Hunting 2013) provided); noise > 85 dB (HL: >10 dB) hearing loss among those (exposed groups) exposed to noise and solvents or solvents only. (Sliwinska-Kowalska Toluene: 54.4 ± 70.3 mg/m3, PTA: 1–8 kHz 1,117 20–66 Cross-sectional OR of HL was 3.9 (95% CI 2.4–6.2) et al. 2005) styrene: 61.8 ± 51.9 mg/m3, in case of styrene and 5.3 (95% xylene, n-hexane; CI 2.6–10.9) in case of n-hexane noise: 64–100 dBA and toluene exposure. (Sliwinska-Kowalska Toluene: 224.9 mg/m3, styrene: PTA: 1–8 kHz; bone 513 20–60 Cross-sectional In the styrene-only group, the OR et al. 2003) 0.2–198.4 mg/m3 ; acetone, conduction: of HL was 5.2-fold (95% CI ¼ dichloromethane and noise: 1–4 kHz 2.9–8.9) greater than in the 73.2 ± 5.3 (non-exposed); unexposed controls. In cases of 89.2 ± 3.1 (styrene and noise) styrene and toluene or styrene and noise groups, the OR increased up to the respective values of 13.1 (95% CI ¼ 4.5–37.7) and 10.9 (95% CI ¼ 4.9–24.2). In the subgroup coexposed to styrene, toluene, and noise, the odds ratio of hearing loss was as high as 21.5 (95% CI ¼ 5.1–90.1). (Sułkowski Toluene (blood): PTA, ART, OAE, 101 22–58 Cross-sectional The solvent mixture-induced HL et al. 2002) (0.95—56.27 mg/dm3); TEOAE, DPOAE was a sensorineural high styrene (MA): (0.1—3.0 mg/h) – frequency (above 1 kHz) loss of mixture of solvents; noise: various degrees with 60–75 dBA significantly reduced amplitudes of otoacoustic emissions. (Morioka Toluene: 0.8–98.8 ppm, styrene: PTA: 0.5–8 kHz 115 36.3 ± 12.6 Cross-sectional A significant correlation between et al. 1999) 0.1–91.6 ppm, acetone, excluding 3 & (mean ± SD) individual percentiles of the HYGIENE ENVIRONMENTAL AND OCCUPATIONAL OF JOURNAL methanol – MA: 0.3 to > 1g/ 6 kHz; upper upper limit of hearing and l, hippuric acid; noise: limit of airborne styrene levels. No 53.0–95.0 dBA. hearing: relationship between toluene 0.5–25 kHz exposure and HL. 13 Table 5. Summary of research on exposures to styrene (N ¼ 12). Seven more studies on styrene are listed under Table 4. 14 Reference Exposure Outcome No. of Participants Age Study Design Main Findings 3 (Sisto et al. 2013) Styrene: 4.9 150 mg/m ; noise PTA: 0.5–8 kHz; 28 28–47 Cross-sectional Hearing of workers exposed to styrene & HEMMATIVAGHEF E. (mean): 87.7 & 83 dBA TEOAEs: 0.5–5 kHz; 24–46 noise and styrene only was different DPOAEs: 1–6.4 kHz for frequencies 1.6 kHz and 2.5 to 5 kHz, respectively. (Morata et al. 2011) Styrene: 309 mg/m3; noise: PTA: 0.25–8 kHz 1,620 18–72 Cross-sectional The audiometric thresholds of styrene- 70–84 dBA exposed workers were significantly poorer than those in published standards. (Triebig et al. 2009) Styrene (blood): 53.9 ± 68.6 to PTA: 0.125–16 kHz 248 37.9 ± 11 Cross-sectional Elevated odds ratio for HL at 3–6 kHz 108 ± 109 lg/dl; MA; PGA; TEOAE: 1–4 Khz & 1.4, 2, among group exposed to styrene MA þ PGA; CEI MA þ PGA; LWAE 2.8, 4, 5.7, and 8 khZ > 30 ppm for more than 10–26 years. MA þ PGA; area noise: There is no dose-response relationship 70–96 dBA between threshold and exposure data. (Zamyslowska- Styrene: 38 8 ± 24 mg/m3; PTA: 0.125–8 kHz; 59 24–64 Case control Styrene-exposed subjects exhibited Szmytke noise: 79 ± 3 dBA gaps-in-noise, frequency significantly worse frequency and et al. 2009) pattern test and duration duration pattern tests and hearing pattern test thresholds than non-exposed subjects at 0.5, 1, 2, 4, 6, and 8 kHz for the right ear, and at 0.25, 0.5, 1, 2, 4, 6, and 8 kHz for the left ear. (Botelho Styrene, acetone, resin, cobalt PTA: 0.5–8 kHz; 155 18–50 Retrospective Significantly higher rate of HL in noise et al. 2009) (exposures not provided); bone case control and chemical exposed group (18.3%). noise: 80.5–99.5 dBHL conduction: 0.5–4 kHz (Johnson Styrene: 0.2 96 mg/m3; noise: PTA: 3–8 kHz 313 21–65 Cross-sectional There were poorer thresholds in styrene- et al. 2006) 69–116 dBA DPOAE, CRA, speech, etc. exposed groups for the worst ear at 4 and 8 kHz and for both ears at 6 kHz. (Hoffmann Styrene: MA ± PGA: 656 ± 639 PTA: 0.25–8 kHz; TEOAE 32 41 ± 8 Cross-sectional Chronic styrene exposures are not et al. 2006) mg/g creatinine associated with a significant hearing dysfunction. (Morata et al. 2002) Styrene: 0.2–96 mg/m3, MA: PTA: 1–8 kHz 313 20–64 Cross-sectional The OR for HL was 2.44 for each 0.9 (mmol/g creatinine); millimole of mandelic acid per gram noise: 79–89 dBA of creatinine in urine (95% CI, 1.01–5.89). (Morioka Styrene: 2.9–28.9 ppm, methanol PTA: 0.5–8 kHz, excluding 3 54 20–68 Cross-sectional The correlation between hearing and et al. 2000) and methyl acetate; & 6 kHz styrene concentrations was not noise: 58-92 dBA significant (p > 0.1). (Sass-Kortsak Styrene: 73.5 mg/m3 (mean); noise: PTA 299 Mean: 36.6 Cross-sectional No evidence for a chronic styrene- et al. 1995) 87.2 dBA (mean) induced effect on hearing acuity.
(Muijser et al. Styrene: up to 150 mg/m3 (area) PTA: 0.25–16 kHz 153 19–55 Cross-sectional Significant difference on hearing 1988) and up to 700 mg/m3 thresholds at high frequencies (personal); noise: 70–104 dBA between the least exposed and the most exposed workers. (Sliwinska-Kowalska Styrene: 1.6 147.9 mg/m3, PTA: 1–16 kHz; 279 20–58 Cross-sectional Significance was observed for control/ et al. 2020) acetone, dichloromethane; bone conduction: 1–4 kHz styrene contrast (CI 2.660, 8.8831). mean lifetime noise exposure: DPOAEs, ABR Styrene-exposed workers present 74–85 dBA hearing thresholds around 5.9 and 4.8 dB higher than control-group in the right and left ear, respectively. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 15
Table 6. Odds ratio of hearing loss by lead exposure. Reference NOAEL / LOAEL Blood lead level (lg/dL) / Quartile# Hearing loss frequency (kHz) Odds ratio (95% CI) – Gender (Huh et al. 2018) NOAEL 1.780–2.248 / Q2 4 (right ear) 1.33 (0.81–2.17) LOAEL 2.248–2.723 / Q3 4 (right ear) 1.72 (1.06–2.80) – 2.723–3.396 / Q4 4 (right ear) 1.77 (1.08–2.88) – 3.396–26.507 / Q5 4 (right ear) 1.65 (1.02–2.68) (Kang et al. 2018) NOAEL 1.56 ± 0.01 Q1 3, 4, & 6 Reference LOAEL 2.22 ± 0.01 / Q2 3, 4, & 6 1.368 (1.006–1.859) - males – 2.82 ± 0.01 / Q3 3, 4, & 6 1.402 (1.005–1.955) - males – 4.22 ± 0.08 / Q4 3, 4, & 6 1.629 (1.161–2.287) - males NOAEL 2.11 ± 0.01 / Q3 3, 4, & 6 1.009 (0.695–1.464) - females LOAEL 3.03 ± 0.03 / Q4 3, 4, & 6 1.502 (1.027–2.196) - females (Choi and Park 2017) NOAEL 2.148–2.822 / Q3 3, 4, & 6 1.35 (1.00, 1.81) LOAEL 2.823–26.507 / Q4 3, 4, & 6 1.70 (1.25, 2.31) (Huh et al. 2016) NOAEL 1.798–2.277 / Q3 2, 3, & 4 1.31 (0.97, 1.77) LOAEL 2.278–2.919 / Q4 2, 3, & 4 1.41 (1.04, 1.92) – 2.920–26.507 2, 3, & 4 1.52 (1.11, 2.10) (Shargorodsky et al. 2011) NOAEL 1–1.99 3, 4, 6, & 8 1.20 (0.80–1.80) LOAEL 2 3, 4, 6, & 8 2.22 (1.39–3.56) (Hwang et al. 2009) NOAEL 4–7 3, 4, 6, & 8 2.11 (0.94–4.77) (for 6 kHz) LOAEL 7 3, 4, 6, & 8 3.06 (1.27–7.39) (for 6 kHz)
and McPherson 2007; Unlu et al. 2014; Staudt Technical Manual (Section III: Chapter 5) also pro- et al. 2019). vides a summary of research findings particularly on solvents exposure and hearing loss (OSHA 1990). Cross-jurisdictional comparisons United Kingdom A summary of cross-jurisdictional comparisons in The Control of Noise at Work Regulations 2005 by the terms of enforceable regulations, information provided Health and Safety Executive of U.K. sets out that “An on ototoxic chemicals and control measures is pro- employer who carries out work which is liable to vided in Table 7. expose any employees to noise at or above a lower exposure action value shall make a suitable and suffi- Canada cient assessment of the risk from that noise to the None of the Canadian jurisdictions have set enforce- health and safety of those employees, and the risk able regulations on ototoxic chemicals. WorkSafeBC assessment shall identify the measures which need to has published a systematic review evaluating the be taken to meet the requirements of these potential (causal) ototoxicity of styrene exposure Regulations.” The regulation also sets out that “The (WorkSafeBC 2016). The review concludes: “At pre- risk assessment shall include consideration of … as sent, there is no evidence to support a causal associ- far as is practicable, any effects on the health and ation between exposure to styrene and ototoxicity” safety of employees resulting from the interaction and that it is not possible to develop a TLV to styrene between noise and the use of ototoxic substances at exposure indicative of the potential to cause hearing work … .” In section 5(3) of the guidance, several loss (WorkSafeBC 2016). measures are recommended for management of exposure to ototoxic chemicals. The guidance sets out United States that “studies have suggested that some chemicals, par- The Occupational Safety and Health Administration ticularly solvents, can act in combination with noise (OSHA) of the U.S. has not established regulations to cause further damage to hearing than the noise or specific to ototoxic chemical exposures, however, it chemical exposures alone. Where there are likely to be has provided a Safety and Health Information such mixed exposures in your workplace, you should Bulletin, entitled “Preventing Hearing Loss Caused by note this within your risk assessment and monitor Chemical (Ototoxicity) and Noise Exposure” (OSHA- developments on these issues.” NIOSH 2018). General information on ototoxic prop- erties of chemicals are provided including potential Australia additive or synergistic effects, current limited research, The “Managing Noise and Preventing Hearing Loss at classifications, and examples of ototoxic chemicals and Work Code of Practice” established by Safe Work type of industries likely to have exposure. The OSHA Australia outlines hearing loss risks from exposure to 16 E. HEMMATIVAGHEF
Figure 2. Forest plot of odds ratios for hearing impairment associated with blood lead levels and identified NOAELs and LOAELs (Huh et al. 2018, Huh et al. 2016, Hwang et al. 2009, Shargorodsky et al. 2011, Choi and Park 2017, Kang et al. 2018). ototoxicants, mechanism of damage, a list of ototoxi- chemicals or vibrating equipment might increase the cants, and recommendations for control. The code of risk of hearing damage to any of the employees. practice states that “exposure standards for chemicals These recommendations include: (a) consider whether and noise do not take account of the increased risk to you can limit their exposure by reducing the time hearing caused by ototoxic substances.” spent on particular tasks; (b) monitor the health sur- veillance results of those workers; and (c) increase the Control measures frequency of health surveillance for those workers. The “Managing Noise and Preventing Hearing Loss at Preventive and control measures suggested by OSHA Work Code of Practice” by Safe Work Australia sug- include reviewing SDSs, substitution, isolation and gests monitoring hearing with regular audiometric enclosures, use of ventilation, use of chemical-protect- testing for workers exposed to ototoxic substances in ive equipment to prevent absorption through the skin, the following circumstances: wearing hearing protection, and using audiometric testing to control exposures to ototoxic chemicals. where the airborne exposure is greater than 50% of The guideline section of Control of Noise at Work the workplace exposure standard for the substance Regulation 2005 established by the Health and Safety (without regard to respiratory protection worn), Executive advocates three precautions when the use of regardless of the noise level and JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 17
Table 7. Summary of cross-jurisdictional comparisons in relation to exposure to ototoxic chemicals. Regulatory Agency – Regulation / Country Report / Code of Practice Regulation Information Control Measures Canada WorkSafeBC – Evidence-Based – – Practice Group - Styrene Exposure and Its Potential Effect on Hearing, Vision and Lung Function United States Occupational Safety and Health – Administration (OSHA) – Safety and Health Information Bulletin -Preventing Hearing Loss Caused by Chemical (Ototoxicity) and Noise Exposure United Kingdom Health and Safety Executive (HSE) – – The Control of Noise at Work Regulations 2005 Australia Safe Work Australia - Managing Noise – and Preventing Hearing Loss at Work Code of Practice 2015 Regulation: Legally enforceable regulation(s) on exposure to ototoxic chemicals; Information: Information provided on ototoxic chemicals e.g., substan- ces identified as ototoxicants and industries more likely to have exposure to ototoxicants, effects on hearing, etc.; Control Measures: Control measures specified for prevention and/or management of exposure to ototoxic chemicals.