Exploring the association of organochlorine pesticides exposure and hearing impairment in united states adults

Exploring the association of organochlorine pesticides exposure and hearing impairment in united states adults

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ABSTRACT Hearing loss (HL) is a highly prevalent public health concern. Organochlorine pesticides (OCPs) are widely used environmental pollutants harmful to human health. Studies


investigating the effects of OCPs exposure on the auditory system in the general population are rare. To explore the association between OCPs exposure and HL in adults, 366 adults aged 20–69


 years who participated in the National Health and Nutrition Examination Survey (NHANES, 2003–2004) were investigated. HL was defined as a pure-tone average (PTA) ≥ 20 dB in the better ear.


Multivariate linear and logistic regression analyses were conducted to evaluate the association of four selected serum OCPs with PTAs and the risk of HL. In participants aged < 60 years,


hexachlorobenzene (HCB) and dichlorodiphenyldichloroethylene (p, p'-DDE) exposure was positively associated with low- and speech-frequency PTAs, and with low-frequency HL, respectively.


Risk of HL increased in the highest tertile compared with the lowest tertile of serum HCB and p, p'-DDE (odds ratio [OR]: 4.38, 95% confidence interval [CI]: 0.97–19.80; OR: 16.66, 95%


CI: 2.64–105.09, respectively). In this study of US adults aged < 60 years, HCB and p, p'-DDE exposure was positively associated with HL. HCB and p, p'-DDE may be potential


risk factors for HL. SIMILAR CONTENT BEING VIEWED BY OTHERS ASSOCIATIONS OF EXPOSURE TO POLYCYCLIC AROMATIC HYDROCARBONS WITH HEARING IN U.S. ADULTS Article Open access 22 April 2025 HIGHER


EXPOSURE TO 1,3-BUTADIENE IS ASSOCIATED WITH MORE SEVERE HEARING LOSS Article Open access 05 June 2024 URINE CAFFEINE METABOLITES AND HEARING THRESHOLD SHIFTS IN US ADULTS: A CROSS-SECTIONAL


STUDY Article Open access 03 November 2021 INTRODUCTION Hearing loss (HL) is a highly prevalent sensory disorder. Globally, it is the third most common cause of disability in humans. It


affects people of all ages, causes enormous financial burden, and afflicts people through the loss of education, communication, and social interaction when HL is left unaddressed. Over 1.5


billion people currently have HL, and this number could grow to 2.5 billion by 20501. To prevent and treat HL, several studies have been conducted to investigate its common causes, such as


noise exposure, aging, and ototoxic drug use. Concerns have also been raised regarding the role of exposure to environmental pollutants in the development of HL2. Organochlorine pesticides


(OCPs) are persistent organic environmental pollutants that bioaccumulate in food chains. Although some OCPs have been banned or restricted for decades, their extensive usage, long


half-lives, and bioaccumulation still affect human health3. Previous studies have shown that OCPs may cause immune dysfunction, endocrine disruption, neurobehavioral and cognitive


impairment, and may have chronic effects on reproductive potential, as carcinogens4,5,6,7,8. Recently, interest has increased regarding the effect of environmental pollutants on the


development of hearing impairment2. Although animal studies, experimental studies on humans, and epidemiological surveys have indicated the toxicity of polychlorinated biphenyls (PCBs),


another important organochlorine pollutant, on the auditory system, studies investigating the effects of exposure to OCPs on the auditory system are limited9,10,11,12,13. Animal studies have


addressed the ototoxicity of organochlorine pesticides dichlorodiphenyltrichloroethane (DDT) and hexachlorobenzene (HCB) in rats14,15,16. A previous study reported that exposure to OCPs,


including HCB, β-hexachlorocyclohexane (β-HCH), and p, p'-dichlorodiphenyldichloroethylene (p, p'-DDE, a metabolite of DDT), at environmental concentrations during infancy, may be


associated with hearing impairment17. A case–control study indicated that exposure to α-hexachlorocyclohexane (α-HCH), an OCP, might be a potential risk factor for HL18. In this study, we


investigated whether there were associations between environmental exposure to OCPs and HL in adults who participated in the National Health and Nutrition Examination Survey (NHANES)


2003–2004. To our knowledge, this is the first cross-sectional study to investigate the effect of OCPs exposure on the auditory system in the general adult population in the US. RESULTS


BASELINE CHARACTERISTICS OF STUDY PARTICIPANTS Table 1 shows the baseline characteristics of the participants in this study (n = 366) aged between 20 and 69 years, including 195 females


(weighted mean, 40.74 ± 11.77 years) and 171 males (weighted mean, 41.52 ± 14.07 years). The mean ± standard deviation (SD) values of low-, speech-, and high-frequency pure-tone average


(PTA) hearing thresholds in the male participants were 8.34 ± 6.76 dB, 11.81 ± 8.33 dB, and 22.84 ± 17.30 dB, respectively. The hearing thresholds were 8.86 ± 7.87 dB, 9.54 ± 7.99 dB, and


15.48 ± 13.90 dB in the female participants, respectively. Overall, HL rates were 14.59% and 8.63% among the male and female participants, respectively. There were statistically significant


differences between the male and female participants in speech- and high-frequency PTA, serum cotinine level, and loud noise/music exposure (all _P_ < 0.05). COMPARISON OF VARIABLES AMONG


LOW-, SPEECH- AND HIGH-FREQUENCY HL GROUPS BY UNIVARIATE ANALYSIS The univariate analysis (Table 2) showed that gender and firearm noise exposure had significant correlations with


speech-frequency PTA; gender, race (non-Hispanic Black vs. Mexican American), and serum cotinine level had significant correlations with high-frequency PTA; age, education level (above high


school vs. below high school), diabetes, hypertension, and the four OCPs were significantly correlated with low-, speech-, and high-frequency PTA (all _P_ < 0.05). MULTIVARIATE REGRESSION


ANALYSIS: ASSOCIATION OF OCPS WITH HEARING THRESHOLDS AND HL In Supplementary Tables S1 and S2, we estimated the association of the four OCPs with low-, speech-, high-frequency hearing


thresholds, and with HL using multivariate linear and logistic regression models, respectively. The covariates included in this analysis were age, sex, race, education level, body mass index


(BMI) (categorical), diabetes, hypertension, serum cotinine level, firearm noise exposure, and loud noise/music exposure. All four OCPs were converted to categorical variables (tertiles)


and were used as continuous variables to calculate the linear trend. In the unadjusted model (crude model), the _P_ value for trend showed that almost all the four OCPs were significantly


associated with low-, speech-, and high-frequency PTA hearing threshold shifts and HL. Only the association of HCB with low- and high-frequency HL was not significant. In all the adjusted


models, a significant _P_ for trend was not observed among the tertiles of the four OCPs and either hearing threshold shifts or HL (all _P_ ≥ 0.05). MULTIVARIATE REGRESSION ANALYSIS


STRATIFIED BY AGE: ASSOCIATION OF OCPS EXPOSURE WITH HEARING THRESHOLDS AND HL As shown in Tables 3 and 4, the participants were divided into two groups: adults aged < 60 years (N = 308)


and adults aged ≥ 60 years (N = 58). HCB exposure was positively associated with low- and speech-frequency PTAs among participants aged < 60 years, when comparing the highest tertile of


HCB exposure level with the lowest tertile (β = 1.90, 95% confidence interval [CI]: 0.11–3.70, _P_trend = 0.0354, _P_interaction = 0.0063 in the low-frequency PTA group; β = 1.88, 95% CI:


0–3.77, _P_trend = 0.0454, _P_interaction = 0.0397 in the speech-frequency PTA group). p, p'-DDE showed a similar association (β = 2.84, 95% CI: 0.86–4.81, _P_trend = 0.0054,


_P_interaction = 0.0063 in the low-frequency PTA group; β = 3.44, 95% CI: 1.38–5.51, _P_trend = 0.0015, _P_interaction = 0.0448 in the speech-frequency PTA group). However, there was no


clear association between HCB or p, p'-DDE exposure and hearing threshold shifts among individuals aged ≥ 60 years (Table 3). Among individuals aged < 60 years old, those with high


HCB exposure showed a higher risk of HL than those with low HCB exposure; however, this association was not observed among individuals aged ≥ 60 years (odds ratio [OR]: 4.38, 95% CI:


0.97–19.80, _P_trend = 0.0475, _P_interaction = 0.0101) (Table 4). An increase in the risk of HL was observed in individuals aged < 60 years with p, p'-DDE exposure levels in the


highest tertile, compared with those in the lowest tertile (OR: 16.66, 95% CI: 2.64–105.09, _P_trend = 0.0015, _P_interaction = 0.0288); the 95% CI associated with the OR had a wide range.


Dieldrin exposure had no statistically significant interactions with age in the prediction of either hearing threshold shifts or HL (_P_interaction > 0.05) (Tables 3 and 4). DISCUSSION In


a representative sample of US adults aged 20–59 years old, higher serum HCB and p, p'-DDE concentrations were positively correlated with the prevalence of low-frequency HL and with


low- and speech-frequency PTA hearing threshold shifts after adjusting for potential confounders including sex, race, education level, BMI (categorical), diabetes, hypertension, serum


cotinine level, firearm noise exposure, and loud noise/music exposure. Our findings suggest that environmental exposure to OCPs may be involved in the development of hearing impairments in


adults. It should be noted, however, that the 95% CI associated with the OR (16.66) of HL in the highest tertile relative to the lowest tertile of serum p, p'-DDE had a wide range


(2.64–105.09). HL is a major public health problem affecting over 1.5 billion people globally in terms of their health and quality of life1. The prevalence of HL has been increasing, with


many factors (i.e., noise exposure, aging, and ototoxic drugs) known to be common causes, and attention has been given to the role of environmental pollutants exposure in the development of


HL2. Most studies on hearing impairment associated with exposure to organohalogen compounds have focused on PCBs, which are structurally related to OCPs and have similar characteristics such


as being resistant to degradation, lipophilic, and able to bioaccumulate in organisms as that of OCPs9,10,11,12,13. The supporting evidence of the ototoxicity of OCPs’ is very limited, with


only five studies involved. Three animal studies have investigated the ototoxicity of DDT and HCB in rats14,15,16. A study that was conducted by recording distortion product otoacoustic


emissions (DPOAEs), an audiological examination performed at different ages of infants, and by calculating DPOAE amplitudes to serum OCPs reported that exposure to HCB, β-HCH, and p,


p'-DDE in infancy may be linked with hearing impairment17. A case–control study reported a positive association between α-HCH exposure and HL in a Chinese adult population18. Our study


is the first cross-sectional study to investigate the effect of OCPs exposure on the auditory system in a sample of the general population of US adults. The results of this study are


consistent with previous findings. Oxidative stress and/or aryl hydrocarbon receptor-mediated mechanisms may be important determinants of HCB and p, p'-DDE ototoxicity19,20. Aberrant


epigenetic and inflammatory mechanisms caused by pesticide exposure may influence the initial stage of auditory development21. Although HL caused by PCBs exposure is related to the induction


of hypothyroidism, and exposure to OCPs is associated with adverse thyroid function, which raises the suspicion that OCPs exposure might affect the auditory system by disturbing thyroid


function; however, no evidence has supported this hypothesis14,22,23. In addition, whether exposure to HCB and p, p'-DDE causes ototoxicity by affecting the cochlear outer hair cells


(OHCs) or other parts of the auditory system (i.e., the organ of Corti, the nerves) remains uncertain: one study showed that DPOAEs (measure for assessing OHCs function) was affected by HCB


and p, p'-DDE exposure, and another study observed only a slight loss of hair cells (< 1%) in HCB-treated rats, which could also be observed in control animals14,17. In addition,


results regarding the range of hearing impairment caused by exposure to OCPs have been inconsistent across studies. In our study, HCB and p, p'-DDE exposure was positively associated


with low-frequency HL and with low- and speech-frequency hearing threshold shifts. These results are almost in agreement with those of the study by Hadjab et al.14. Contrarily, Sisto et


al.17 found positive associations between HCB and p, p'-DDE exposure and DPOAE amplitudes for most of the primary tone frequencies. Zhang et al.18 observed a relationship between α-HCH


exposure and hearing impairment, mainly at mid and high frequencies. Further studies are required to clarify these discrepancies. This study used a large and representative sample with


rigorous quality control over the data collection process and adjusted for critical confounders to establish a relationship between serum OCPs concentrations and hearing impairment. However,


this study had several limitations. First, due to the inherent limitation of the cross-sectional design, the temporal sequence of exposures and outcomes cannot be confirmed. Prospective


studies are required to definitively define the association between OCPs exposure and hearing function. Second, data of infants, adolescents, and the elderly (70 + years old) were not


included in this study due to the lack of participants or the sample size being too small. Moreover, we could not rule out any potential effects of OCPs exposure on hearing impairment in


people aged ≥ 60 years, as the sample size in the subgroup was small (N = 58). Third, some potential confounders (e.g., dietary intake, history of ear infection, and congenital hearing


impairment) were not addressed in this study. Furthermore, studies on the mechanisms of the effects of HCB and p, p′-DDE exposure on hearing impairment are insufficient. Therefore,


functional biological studies (i.e., DPOAE and brainstem auditory evoked potential studies) and prospective population studies are required to investigate the potential mechanisms. METHODS


STUDY DESIGN AND POPULATION The NHANES is a nationwide, cross-sectional, representative series of surveys containing health-related information of the US general population. These continuous


surveys consist of interviews, physical measurements, and laboratory tests of a selected sample of the US non-institutionalized population. The NHANES project was reviewed and approved by


the Research Ethics Review Board of the National Center for Health Statistics, and informed consent was obtained from all participants. Data from the NHANES and related documentation and


protocols described in detail are publicly available from the NHANES website (https://www.cdc.gov/nchs/nhanes/Index.htm). The participants in this report were enrolled from the NHANES cycle


2003–2004, which contains the results of both serum concentrations of OCPs and audiometry examinations of 20–69-year-old adults. Since the analytical detection limits of serum OCPs varied


significantly in previous cycles and the sample sizes of recent cycles were quite small, only the data from the 2003–2004 cycle were used in our analysis. Figure 1 shows a flow chart for


participant selection in this study. Participants with missing data on hearing threshold levels, otoscopic tests, tympanogram tests, or serum lipid-adjusted concentrations of the selected


OCPs were excluded. Individuals with abnormal otoscopic results, poor-quality tympanogram results, or tympanograms with compliance ≤ 0.3 ml were also excluded to avoid analyzing conductive


or mixed HL data24,25. Finally, 366 participants were included in this study. OCPS EXPOSURE MEASUREMENT Blood serum concentrations of 13 OCPs and metabolites were measured in a random


one-third subsample of participants aged 12 years and older using high-resolution gas chromatography/isotope-dilution high-resolution mass spectrometry at the US Centers for Disease Control


and Prevention (CDC) National Center for Environmental Health. Four OCPs detected in ≥ 80% of the samples were selected for analysis in our study: HCB, p, p'-DDE, trans-nonachlor, and


dieldrin. We used the limit of detection (LOD) divided by the square root of two for any sample below the LOD. In addition, the lipid-adjusted serum concentrations (ng/g lipid) of the four


OCPs were used in our study and log-transformed to normalize the skewed distribution before the analysis. AUDIOMETRIC MEASUREMENT The detailed procedure and protocol of audiometric


examination have been described in the NHANES audiometry procedures online manual26 and previous papers27,28. Briefly, half of the sample of US adults aged 20–69 years underwent an


audiometric component test. Trained examiners conducted hearing threshold examinations in a silent and sound-isolating audiometry room. The hearing threshold examination was conducted at


seven frequencies from 500 to 8000 Hz using an AD226 audiometer (Interacoustics). In this study, low-frequency HL was defined as PTA calculated by averaging thresholds at 500, 1000, and 2000


 Hz ≥ 20 dB HL in the better ear; speech-frequency HL was defined as PTA at 500, 1000, 2000, and 4000 Hz ≥ 20 dB HL in the better ear, which is consistent with the definition used by the


World Health Organization1; and high-frequency HL was defined as PTA at 4000, 6000, and 8000 Hz ≥ 20 dB HL in the better ear. Otoscopic examination of both ears was performed using a Welch


Allyn otoscope (Model 25,020). Tympanometry was performed using an Earscan Acoustic Impedance tympanometer (Micro Audiometrics) to assess middle ear function. Inference of sensorineural HL


was based on the findings of normal otoscopic examinations and good- or adequate-quality results of the tympanogram with compliance > 0.3 ml. Individuals who did not meet the standards


were excluded from further analysis. COVARIATES The following variables were considered as potential covariates in the analysis: age and BMI as continuous variables, and sex, race/ethnicity,


education level, BMI (categorical), diabetes, hypertension, serum cotinine level, firearm noise exposure, and noise noise/music exposure as categorical variables. Information on demographic


variables, noise exposure, and present medical illnesses, such as diabetes and hypertension, was obtained from self-reported questionnaires. Firearm exposure was defined as “firearm noise


exposure outside work for an average of at least once a month for a year”29. Loud noise/music exposure was defined as “exposure to other types of loud noise, such as noise from power tools


or loud music, outside work, for an average of at least once a month for a year.” Diabetes was defined by a “yes” or “borderline” answer to the question “other than during pregnancy, ever


been told by a doctor or health professional had diabetes or sugar diabetes”30. Hypertension was defined as “ever been told by a doctor or other health professional had hypertension, also


called high blood pressure”30. BMI was obtained through physical examination. Serum cotinine level, a marker for both active and passive tobacco exposure, was tested by an isotope


dilution-high-performance liquid chromatography/atmospheric pressure chemical ionization tandem mass spectrometry31. STATISTICAL ANALYSIS Weighted statistical differences in demographic and


potential hearing-related variables between individuals grouped by sex were evaluated, with categorical data presented as percentages and continuous data as mean ± SD. The _P_ values of the


continuous and categorical data were estimated using a weighted linear regression model and weighted chi-square test, respectively. We distributed the log-transformed lipid-adjusted OCP


levels into tertiles before conducting univariate analysis to estimate potential variables. Multivariate linear regression analysis was used to determine regression coefficients (β) and 95%


CIs between the four OCPs and hearing threshold shifts, and multivariate logistic regression analysis was used to estimate ORs and 95% CIs between the four OCPs and HL, adjusting for age,


gender, race/ethnicity, education level, BMI (categorical), diabetes, hypertension, serum cotinine level, firearm noise exposure, and loud noise/music exposure, instead of using sample


weights. This adjustment is considered a good compromise between efficiency and bias32,33. We evaluated the influence of the interactions between the OCPs and age on HL. Stratified


multivariate linear and logistic regression analyses according to age (< 60 vs. ≥ 60 years) were performed. The association between trans-nonachlor exposure and HL was not estimated in


the multivariate linear and logistic regression analyses stratified by age because the number of participants aged ≥ 60 years in the category of low trans-nonachlor exposure tertile was


quite small, and only two individuals were included. Statistical analysis was conducted using the statistical programming language R 3.6.1 and EmpowerStats software (X&Y Solutions,


Inc.). A _P_-value < 0.05 was considered statistically. REFERENCES * World Health Organization. World report on hearing. _Geneva_ (2021). * Fábelová, L. _et al._ Environmental


ototoxicants, a potential new class of chemical stressors. _Environ. Res._ 171, 378–394 (2019). Article  Google Scholar  * Jones, K. C. Persistent organic pollutants (POPs) and related


chemicals in the global environment: some personal reflections. _Environ. Sci. Technol._ 55, 9400–9412 (2021). Article  ADS  CAS  Google Scholar  * Akoto, O., Oppong-Otoo, J. &


Osei-Fosu, P. Carcinogenic and non-carcinogenic risk of organochlorine pesticide residues in processed cereal-based complementary foods for infants and young children in Ghana. _Chemosphere_


132, 193–199 (2015). Article  ADS  CAS  Google Scholar  * Basterrechea, M. _et al._ Prenatal exposure to hexachlorobenzene (HCB) and reproductive effects in a multicentre birth cohort in


Spain. _Sci. Total Environ._ 466–467, 770–776 (2014). Article  ADS  Google Scholar  * Grandjean, P. & Landrigan, P. J. Neurobehavioural effects of developmental toxicity. _Lancet


Neurol._ 13, 330–338 (2014). Article  CAS  Google Scholar  * Medehouenou, T. C. M. _et al._ Exposure to polychlorinated biphenyls and organochlorine pesticides and risk of dementia,


Alzheimer’s disease and cognitive decline in an older population: a prospective analysis from the Canadian Study of Health and Aging. _Environ. Health_ 18, 57 (2019). Article  Google Scholar


  * Zhang, J. _et al._ Endocrine-disrupting effects of pesticides through interference with human glucocorticoid receptor. _Environ. Sci. Technol._ 50, 435–443 (2016). Article  ADS  CAS 


Google Scholar  * Crofton, K. M., Ding, D., Padich, R., Taylor, M. & Henderson, D. Hearing loss following exposure during development to polychlorinated biphenyls: a cochlear site of


action. _Hear. Res._ 144, 196–204 (2000). Article  CAS  Google Scholar  * Herr, D. W., Goldey, E. S. & Crofton, K. M. Developmental exposure to Aroclor 1254 produces low-frequency


alterations in adult rat brainstem auditory evoked responses. _Fundam. Appl. Toxicol._ 33, 120–128 (1996). Article  CAS  Google Scholar  * Lasky, R. E., Widholm, J. J., Crofton, K. M. &


Schantz, S. L. Perinatal exposure to Aroclor 1254 impairs distortion product otoacoustic emissions (DPOAEs) in rats. _Toxicol. Sci._ 68, 458–464 (2002). Article  CAS  Google Scholar  *


Powers, B. E., Widholm, J. J., Lasky, R. E. & Schantz, S. L. Auditory deficits in rats exposed to an environmental PCB mixture during development. _Toxicol. Sci._ 89, 415–422 (2006).


Article  CAS  Google Scholar  * Trnovec, T. _et al._ Exposure to polychlorinated biphenyls and hearing impairment in children. _Environ. Toxicol. Pharmacol._ 25, 183–187 (2008). Article  CAS


  Google Scholar  * Hadjab, S., Maurel, D., Cazals, Y. & Siaud, P. Hexachlorobenzene, a dioxin-like compound, disrupts auditory function in rat. _Hear. Res._ 191, 125–134 (2004). Article


  CAS  Google Scholar  * Woolley, D. E. Some aspects of neurophysiological basis of insecticide action. _Fed. Proc._ 35, 2610–2617 (1976). CAS  PubMed  Google Scholar  * Woolley, D. E.


Toxicological and pharmacological studies of visual and auditory potentials evoked in the cerebellum of the rat. _Proc. West Pharmacol. Soc._ 11, 69–73 (1968). CAS  PubMed  Google Scholar  *


Sisto, R. _et al._ Environmental exposure to organochlorine pesticides and deficits in cochlear status in children. _Environ. Sci. Pollut. Res. Int._ 22, 14570–14578 (2015). Article  CAS 


Google Scholar  * Zhang, J. _et al._ Environmental exposure to organochlorine pesticides and its association with the risk of hearing loss in the Chinese adult population: a case-control


study. _Sci. Total Environ._ 767, 145153 (2021). Article  ADS  CAS  Google Scholar  * Mrema, E. J. _et al._ Persistent organochlorinated pesticides and mechanisms of their toxicity.


_Toxicology_ 307, 74–88 (2013). Article  CAS  Google Scholar  * Tabuchi, K. _et al._ Ototoxicity: mechanisms of cochlear impairment and its prevention. _Curr. Med. Chem._ 18, 4866–4871


(2011). Article  CAS  Google Scholar  * Alavanja, M. C. R., Ross, M. K. & Bonner, M. R. Increased cancer burden among pesticide applicators and others due to pesticide exposure. _CA


Cancer J. Clin._ 63, 120–142 (2013). Article  Google Scholar  * Blanco-Muñoz, J. _et al._ Association between organochlorine pesticide exposure and thyroid hormones in floriculture workers.


_Environ. Res._ 150, 357–363 (2016). Article  Google Scholar  * Jain, R. B. Association between thyroid function and selected organochlorine pesticides: data from NHANES 2001–2002. _Sci.


Total Environ._ 466–467, 706–715 (2014). Article  ADS  Google Scholar  * Lalwani, A. K., Liu, Y.-H. & Weitzman, M. Secondhand smoke and sensorineural hearing loss in adolescents. _Arch.


Otolaryngol. Head Neck Surg._ 137, 655–662 (2011). Article  Google Scholar  * Weitzman, M., Govil, N., Liu, Y. H. & Lalwani, A. K. Maternal prenatal smoking and hearing loss among


adolescents. _JAMA Otolaryngol. Head Neck Surg._ 139, 669–677 (2013). PubMed  Google Scholar  * NHANES. Audiometry procedure manual. (2003). * Li, M.-C. Serum Per- and polyfluoroalkyl


substances are associated with increased hearing impairment: a re-analysis of the national health and nutrition examination survey data. _Int. J. Environ. Res. Public Health_ 17, E5836


(2020). Article  Google Scholar  * Lim, Z. W. & Chen, W.-L. Exploring the association of bone alkaline phosphatases and hearing loss. _Sci. Rep._ 10, 4006 (2020). Article  ADS  CAS 


Google Scholar  * Ding, N. & Park, S. K. Perfluoroalkyl substances exposure and hearing impairment in US adults. _Environ. Res._ 187, 109686 (2020). Article  CAS  Google Scholar  *


Szeto, B., Valentini, C. & Lalwani, A. K. Low vitamin D status is associated with hearing loss in the elderly: a cross-sectional study. _Am. J. Clin. Nutr._ 113, 456–466 (2021). Article


  Google Scholar  * Xu, H., Mao, Y. & Xu, B. Association between pyrethroid pesticide exposure and hearing loss in adolescents. _Environ. Res._ 187, 109640 (2020). Article  CAS  Google


Scholar  * Graubard, B. I. & Korn, E. L. Analyzing health surveys for cancer-related objectives. _J. Natl. Cancer Inst._ 91, 1005–1016 (1999). Article  CAS  Google Scholar  * Korn, E. L.


& Graubard, B. I. Epidemiologic studies utilizing surveys: accounting for the sampling design. _Am. J. Public Health_ 81, 1166–1173 (1991). Article  CAS  Google Scholar  Download


references ACKNOWLEDGEMENTS All authors thank NHANES for providing the publicly available data. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Otorhinolaryngology, Sichuan


University Hospital of Sichuan University, Chengdu, 610065, Sichuan, China Lili Long * Department of Otorhinolaryngology Head and Neck Surgery, Sichuan Provincial People’s Hospital,


University of Electronic Science and Technology of China, No. 32, West Section 2, Yihuan Road, Chengdu, 610072, Sichuan, China Xinghua Tang Authors * Lili Long View author publications You


can also search for this author inPubMed Google Scholar * Xinghua Tang View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS L.L. and X.T.


contributed to the conceptualization. L.L. performed formal analysis and interpretation of data, wrote original draft. X.T. revised the manuscript. All authors reviewed and approved the


final manuscript as submitted. CORRESPONDING AUTHOR Correspondence to Xinghua Tang. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION


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CITE THIS ARTICLE Long, L., Tang, X. Exploring the association of organochlorine pesticides exposure and hearing impairment in United States adults. _Sci Rep_ 12, 11887 (2022).


https://doi.org/10.1038/s41598-022-15892-2 Download citation * Received: 25 December 2021 * Accepted: 30 June 2022 * Published: 13 July 2022 * DOI: https://doi.org/10.1038/s41598-022-15892-2


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