Prevalence of Hearing Loss in US Children and Adolescents

Su, Bingjing; Chan, Dylan K.

doi:10.1001/jamaoto.2017.0953

Cited by 95 publications

(79 citation statements)

References 23 publications

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“…They found no increase in audiometric notching between surveys, and no association between reported noise exposure and HI. Two subsequent reports found—as we did—no increase in HI between the 1988 to 1994 survey and either the 2005 to 2006 or 2005 to 2010 surveys …”

Section: Discussionsupporting

confidence: 75%

“…Two subsequent reports foundas we did-no increase in HI between the 1988 to 1994 survey and either the 2005 to 2006 or 2005 to 2010 surveys. 47,48 The 2005 to 2010 survey, unlike the 1966 to 1970 survey, included 18 to 19 year olds, but excluding them would not have changed the finding of declining HI prevalence. Table IV shows that their speech-frequency prevalence was essentially identical to that of the total subject group.…”

Section: Discussionmentioning

confidence: 99%

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Kids Nowadays Hear Better Than We Did: Declining Prevalence of Hearing Loss in US Youth, 1966–2010

et al. 2018

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Objectives/Hypothesis To investigate factors associated with hearing impairment (HI) in adolescent youths during the period 1966–2010. Study Design Cross‐sectional analyses of US sociodemographic, health, and audiometric data spanning 5 decades. Methods Subjects were youths aged 12 to 17 years who participated in the National Health Examination Survey (NHES Cycle 3, 1966–1970; n = 6,768) and youths aged 12 to 19 years in the Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994; n = 3,057) and NHANES (2005–2010; n = 4,374). HI prevalence was defined by pure‐tone average (PTA) ≥ 20 dB HL for speech frequencies (0.5, 1, 2, and 4 kHz) and high frequencies (3, 4, and 6 kHz). Multivariable logistic models were used to estimate the odds ratio (OR) and 95% confidence interval (CI). Results Overall speech‐frequency HI prevalence was 10.6% (95% CI: 9.7%‐11.6%) in NHES, 3.9% (95% CI: 2.8%‐5.5%) in NHANES III, and 4.5% (95% CI: 3.7%–5.4%) in NHANES 2005 to 2010. The corresponding high‐frequency HI prevalences were 32.8% (95% CI: 30.8%‐34.9%), 7.3% (95% CI: 5.9%‐9.0%), and 7.9% (95% CI: 6.8%‐9.2%). After adjusting for sociodemographic factors, overall high‐frequency HI was increased twofold for males and cigarette smoking. Other significant risk factors in NHANES 2005 to 2010 included very low birth weight, history of ear infections/otitis media, ear tubes, fair/poor general health, and firearms use. Conclusions HI declined considerably between 1966 to 1970 and 1988 to 1994, with no additional decline between 1988 to 1994 and 2005 to 2010. Otitis media history was a significant HI risk factor each period, whereas very low birth weight emerged as an important risk factor after survival chances improved. Reductions in smoking, job‐related noise, and firearms use may partially explain the reduction in high‐frequency HI. Loud music exposure may have increased, but does not account for HI differences. Level of Evidence NA Laryngoscope, 129:1922–1939, 2019

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Section: Discussionsupporting

confidence: 75%

Section: Discussionmentioning

confidence: 99%

Kids Nowadays Hear Better Than We Did: Declining Prevalence of Hearing Loss in US Youth, 1966–2010

et al. 2018

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“…Many studies have shown that smoking-induced hearing loss is likely due to vascular changes, including capillary contraction, increased blood viscosity, and cochlear anoxia [39,40]. High-volume noise exposure may lead to hearing loss via a mechanism involving reduced cochlear oxygen tension during and after noise exposure [41]. Moreover, lack of exercise affects blood, oxygen, and nutrient flow to the cochlea, leading to the degradation of the stria vascularis (SV).…”

Section: Discussionmentioning

confidence: 99%

NRN1 and CAT Gene Polymorphisms, Complex Noise, and Lifestyles Interactively Affect the Risk of Noise-Induced Hearing Loss

LIU

Xin

Zheng

et al. 2020

Preprint

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Background: Multiple genetic and environmental factors influence the severity of NIHL. However, few studies have reported interactions among such factors in modulating the risk of NIHL. This study aimed to assess for interactions among gene polymorphisms, noise metrics, and lifestyles on the risk of NIHL.Methods: A case-control study was conducted using 307 patients with NIHL and 307 matched healthy individuals from five manufacturing industries. General demographic data, lifestyle details, and noise exposure levels were recorded. The kompetitive allele-specific polymerase chain reaction (KASP) was used to analyze the genotypes of 18 single nucleotide polymorphisms (SNPs). The generalized multifactor dimensionality reduction (GMDR) method was used to examine the effects of all possible interactions. Results: The proportion of people with complex noise exposure, high CNE, high adj-CNE, smoking, propensity to watch loud videos, or sedentary lifestyle was significantly greater in the NIHL group than in the healthy group (P < 0.05). The GMDR model demonstrated a relevant interaction between NRN1 rs3805789 and CAT rs7943316. Subjects with the SNP pair of NRN1 rs3805789-CC and CAT rs7943316-AT, NRN1 rs3805789-CT and CAT rs7943316-AA, NRN1 rs3805789-CT and CAT rs7943316-TT, NRN1 rs3805789-CT/TT and CAT rs7943316-AA, or NRN1 rs3805789-CC and CAT rs7943316-AT/TT had higher risks of NIHL than those with NRN1 rs3805789-CC and CAT rs7943316-AA (P < 0.05). There was an interaction among NRN1 rs3805789, CAT rs7943316, and kurtosis. Subjects exposed to complex noise and carrying both NRN1 rs3805789-CT and CAT rs7943316-TT or NRN1 rs3805789-CT/TT and CAT rs7943316-AA had higher risks of NIHL than those exposed to steady noise and carrying both NRN1 rs3805789-CC and CAT rs7943316-AA (P < 0.05). The best six‐locus model involving NRN1 rs3805789, CAT rs7943316, smoking, video volume, physical exercise, and working pressure for the risk of NIHL was found to be the interaction (P = 0.0010). An interaction was also found among smoking, video volume, physical exercise, working pressure, and kurtosis (P = 0.0107).Conclusions: Complex noise, high CNE, high adj-CNE, smoking, high video volume, and sedentary lifestyle are environmental risk factors for NIHL. Concurrence of NRN1 rs3805789 and CAT rs7943316 constitutes a genetic risk factor for NIHL. Complex noise exposure significantly increases the risk of NIHL in subjects with a high genetic risk score. Interactions between genes and lifestyle as well as noise metrics and lifestyle affect the risk of NIHL. These results provide a theoretical basis for screening genetic and environmental risk factors to prevent NIHL.

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“…Those parents with such knowledge are nearly twice as likely to discuss these issues with their children, and the majority of parents surveyed are willing to consider setting exposure limits or insist on the use of hearing protection . Some of these interventions, including reducing firearms noise, may have been effective in reducing hearing impairment from the 1960s to 1980s; however, the decline has been stagnant over the last decade, which underscores the important of public health initiatives discussed above …”

Section: Discussionmentioning

confidence: 99%

Epidemiology and gender differences in pediatric recreational and firearms noise exposure in the USA

2019

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Objective We aim to identify contemporary noise exposures and hearing protection use among U.S. children in a large, population‐based study. Methods Cross‐sectional analysis of the 2014 National Health Interview Series was performed. Results from in‐person interviews of families with children under 18 years of age in all 50 states were queried. Potentially harmful exposures to loud sounds and patterns of hearing protection use in the last 12 months were analyzed after representative sample weights were applied. Results Among 73.4 million children, 18.4% (9.1 ± 0.4 million) (boys: 23.2%, girls: 13.5%; P < 0.001) were exposed to firearms noise, and 28.2% (20.7 ± 0.6 million) (boys: 30.5%, girls: 25.8%; P < 0.001) to firecrackers and other explosive sounds. Exposure to recreational “very‐loud” noise exposure was more common (7.9%; 5.8 ± 0.3 million), consisting of music players (46.5%), fireworks (44.8%), lawnmowers (42.6%), and firearms (32.5%). However, only 17.1% of boys and 15.6% of girls, totaling 16.4% of all children, always used hearing protection during noise exposures. Conclusion Children in the United States are commonly exposed to firearms and recreational loud noises. Hearing protection is infrequently used, and gender disparities in patterns of exposure and use of hearing protection are prevalent. Those children and families at risk should be identified via public health initiatives and appropriately counseled by healthcare providers. Level of Evidence NA Laryngoscope, 130:541–545, 2020

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Prevalence of Hearing Loss in US Children and Adolescents

Cited by 95 publications

References 23 publications

Kids Nowadays Hear Better Than We Did: Declining Prevalence of Hearing Loss in US Youth, 1966–2010

Kids Nowadays Hear Better Than We Did: Declining Prevalence of Hearing Loss in US Youth, 1966–2010

NRN1 and CAT Gene Polymorphisms, Complex Noise, and Lifestyles Interactively Affect the Risk of Noise-Induced Hearing Loss

Epidemiology and gender differences in pediatric recreational and firearms noise exposure in the USA

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