The combined effect of cigarette smoking and occupational noise exposure on hearing loss: evidence from the Dongfeng-Tongji Cohort Study

Wang, Dongming; Wang, Zhichao; Zhou, Min; Li, Wenzhen; He, Meian; Zhang, Xiaomin; Guo, Huan; Yuan, Jing; Zhan, Yue; Zhang, Kun; Zhou, Tao; Kong, Weijia; Chen, Weihong

doi:10.1038/s41598-017-11556-8

Cited by 24 publications

(31 citation statements)

References 35 publications

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“…Four studies not published in Chinese or English were also excluded. Our meta-analysis includes 27 studies [7,[10][11][12][13]19,20,[28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47] in this meta-analysis. Selection details are shown in Figure 1.…”

Section: Literature Searchmentioning

confidence: 99%

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Association between Smoking and Noise-Induced Hearing Loss: A Meta-Analysis of Observational Studies

Rong

Wang

et al. 2020

IJERPH

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The purpose of this study was to synthesize the results of previously published observational studies through meta-analysis to clarify the association between smoking and noise-induced hearing loss (NIHL). We searched several databases as of October 2019. Based on the results of heterogeneity analysis (Q statistic and I2 statistic), a fixed effect model (for no heterogeneity; Q test P > 0.1 and I2 ≤ 50%) or a random effects model (for heterogeneity) was used to calculate the pooled odds ratios (ORs). We explored the potential dose-response relationship between smoking and NIHL as well. In total, 27 studies involving 30,465 participants were included. Compared with non-smokers, the pooled OR of current smokers was 2.05 (95% Confidence interval (CI): 1.71–2.46), and of former smokers was 1.11 (95% CI: 1.05–1.18). We found a curve linear association between an increasing number of pack-years (packages/day × smoking years) and risk of NIHL. The dose-response meta-analysis suggested that when the number of pack-years was less than fifteen, the risk of NIHL was increasing, and the highest combined OR was 5.25 (95% CI: 2.30–11.96) for pack-years of fifteen. After fifteen pack-years, the pooled OR had a slow decline. Our study indicated that smoking is a risk factor for NIHL. Current smokers have a higher risk than former smokers, and there is a positive dose-response relationship between smoking and NIHL.

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Section: Literature Searchmentioning

confidence: 99%

“…may be independent factors or have a synergistic effect with noise to increase the risk of NIHL. Smoking is a risk factor for many illnesses, and many published studies [10][11][12][13] have suggested that it may also be associated with NIHL. Some toxic and harmful substances like nicotine from tobacco burning may affect hearing.…”

Section: Introductionmentioning

confidence: 99%

Association between Smoking and Noise-Induced Hearing Loss: A Meta-Analysis of Observational Studies

Rong

Wang

et al. 2020

IJERPH

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“…Recently, cigarette smoking has been implicated in the increased susceptibility to noise damage https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5593900/- CR19. The combination of smoking and occupational noise exposure can synergistically affect hearing, especially in elderly male participants 16 . In addition, individuals with the longest acoustic exposure duration and maximum pack-years are more at risk.…”

Section: Discussionmentioning

confidence: 99%

“…Smoking is an intrinsic risk factor for hearing loss. Moreover, it may synergistically influence hearing when associated with occupational noise exposure, particularly in males and older subjects 16 . Noise over-stimulation induces inflammatory responses and the up-regulation of pro-inflammatory cytokines in the inner ear 3 …”

Section: Introductionmentioning

confidence: 99%

Audiometric notch for the prediction of early occupational hearing loss and its association with the interleukin-1beta genotype

Amer

Taha

Ibrahim

et al. 2019

Journal of Taibah University Medical Sciences

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Objectives Noise-induced hearing loss (NIHL) is a frequent and irreversible industrial-health problem, the early diagnosis of which can prevent hearing deterioration, especially of speech frequencies. This study aimed to assess hearing impairment in workers occupationally exposed to noise. Audiometric notches and IL-1β gene polymorphisms were evaluated. Methods The study included 98 workers employed in a textile factory. Pure-tone audiometric testing was conducted for all workers, using a manual pure-tone diagnostic audiometer, and the noise level was measured at four different work sites in a spinning section. IL-1β gene polymorphism was determined using PCR-RFLP methods. Results Workers were exposed to a mean noise level of 105.5 dB. As many as 27.6% of them complained of tinnitus and the majority suffered from some degree of hearing loss in either ear, but none of them exceeded 60 dB. Audiometric notches were detected in either one or both ears. Only 28.6% of workers showed the absence of notches. The TT genotype of IL-1β polymorphisms was dominant in 49% of the workers, whereas TC was predominant in 39.8% and CC in 11.2%. The CC genotype was associated with smoking (54.5%) and audiometric notches (100%). The IL-1β genotype distribution showed no significant difference with or without tinnitus. Conclusion This study showed an association between the CC genotype and smoking as well as audiometric notches in workers occupationally exposed to noise. Workers showing audiometric notches should be followed up regularly. Further studies are required to confirm the interrelationship amongst tinnitus, audiometric notches, and IL-1β genotypes.

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“…The sample size of these studies was relatively small, and they failed to take other risk factors into consideration. For example, aging [19], and the use of alcohol and tobacco [20] and other harmful chemicals [21] will aggravate the progress of NIHL, while female sex is a protective factor [22]. Another study explored the classi cation of noise-susceptible and noise-resistant workers based on the ISO 1999:1990 standard [23]; however, the results depended on the statistical distribution of hearing threshold levels of a speci c noise-exposed population, and have become arbitrary.…”

Section: Introductionmentioning

confidence: 99%

Identifying Genetic Variants Associated With Noise-induced Hearing Loss Based on a Novel Strategy for Evaluating Individual Susceptibility

Zhuang¹,

Zhang

et al. 2020

Preprint

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Background: The overall genetic profile for noise-induced hearing loss (NIHL) remains to be explored. Here we used a novel machine learning (ML) strategy to evaluate individual susceptibility to NIHL and identify the underlying genetic variants based on a subsample of participants with extreme phenotype. Methods: Demographic and audiometric data of 5,539 shipbuilding workers from large cross-sectional surveys were included in four ML algorithms to predict the hearing level. The area under the curve (AUC) and prediction accuracy were used to assess the performance of the classification models. We screened 300 participants that were misclassified by all of the four ML models, with extreme phenotypes implying they were either highly susceptible or resistant to NIHL and used whole-exome sequencing (WES) to identify the underlying variants associated with NIHL risk among the NIHL-susceptible and NIHL-resistant individuals. Subsequently, candidate risk loci were validated in a large independent noise-exposed cohort, followed by a meta-analysis.Results: With 10-fold cross-validation, the performances of the four ML models were robust and similar, with average AUC and accuracy ranging from 0.783 to 0.798 and 73.7% to 73.8%, respectively. The phenotypes of the NIHL-susceptible group and NIHL-resistant group were significantly different (all p<0.001). After WES analysis and filtering, 12 novel variants contributing to NIHL susceptibility were identified and replicated. The meta-analyses shown that the rs41281334 A allele of CDH23 (OR=1.506, 95% CI=1.106-2.051) and the rs12339210 C allele of WHRN (OR=3.06, 95% CI=1.398-6.700) were significantly associated with increased risk of NIHL after adjustment for conventional risk factors.Conclusions: This study determined two novel genetic variants in CDH23 rs41281334 and WHRN rs12339210 associated with NIHL risk, based on a potential approach for evaluating individual susceptibility using ML models. Trial registration: Chinese Clinical Trial Registry (registration number: ChiCTR-RPC-17012580)

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The combined effect of cigarette smoking and occupational noise exposure on hearing loss: evidence from the Dongfeng-Tongji Cohort Study

Cited by 24 publications

References 35 publications

Association between Smoking and Noise-Induced Hearing Loss: A Meta-Analysis of Observational Studies

Association between Smoking and Noise-Induced Hearing Loss: A Meta-Analysis of Observational Studies

Audiometric notch for the prediction of early occupational hearing loss and its association with the interleukin-1beta genotype

Identifying Genetic Variants Associated With Noise-induced Hearing Loss Based on a Novel Strategy for Evaluating Individual Susceptibility

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