Early Indication of Noise-Induced Hearing Loss in Young Adult Users of Personal Listening Devices

Hussain, Timon; Chou, Carol; Zettner, Erika M.; Torre, Peter; Hans, Stefan; Gauer, J; Markgraf, Marius; Nguyen, Quyen T.

doi:10.1177/0003489418790284

Cited by 16 publications

(26 citation statements)

References 33 publications

(45 reference statements)

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“…The overall effect size of the DPOAEs was 0.089 (CI −0.012 to 0.190; p 0.080, I 2 0%), indicating no significant amplitude change within 24 h after music exposure. In sum, the short-term result after music exposure did not show any meaningful changes for PTA thresholds or DPOAE amplitudes To identify the long-term hearing changes after music exposure [9,21,22,24,26,30,31,33,34], the pooled studies for analysis are shown in Figures 4 and 5 for PTA and DPOAE, respectively, in the same frequencies along with the short-term hearing changes. Similar to PTA outputs, the amplitude of DPOAEs showed the largest effect size also at 4 kHz (0.124, CI −0.047 to 0.296; p 0.155) (see Figure 3).…”

Section: Meta-analysis Of Music Exposure Effects With Subgroup Analysismentioning

confidence: 99%

“…The authors confirmed that four [9,[20][21][22] of the selected studies had "good" quality (scored 7-9). The remaining studies were evaluated as having "fair" quality (score 4-6) [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] except for one study with a score of 3, evaluated as having "poor" quality [35]. Thus, 16 articles were included for systematic review and meta-analysis in this study.…”

Section: Selection Outcomesmentioning

confidence: 99%

“…Sixteen high-quality studies that reported hearing thresholds of PTA (4, 6, and 8 kHz testing frequencies) and amplitudes of the DPOAEs (2, 4, and 6 center frequencies) were pooled for analysis. As mentioned earlier, the studies were divided into two groups to see short-term hearing changes (pre/post-exposure with 24 hours; n = 7) [20,23,25,[27][28][29]32] and long-term hearing changes (PLDs users/non-users; n = 9) [9,21,22,24,26,30,31,33,34]. For short-term hearing changes within 24 h after music exposure [20,23,25,[27][28][29]32], the studies pooled for analysis showed PTA 4, 6, and 8 kHz changes at pre-and post-music exposure (see Figure 2).…”

Section: Meta-analysis Of Music Exposure Effects With Subgroup Analysismentioning

confidence: 99%

“…To identify the long-term hearing changes after music exposure [9,21,22,24,26,30,31,33,34], the pooled studies for analysis are shown in Figures 4 and 5 for PTA and DPOAE, respectively, in the same frequencies along with the short-term hearing changes. With the DPOAEs, the highest effect size was at 2 kHz (0.135, CI −0.127 to 0.398; p 0.311) and 4 kHz (0.131, CI −0.131 to 0.393; p 0.329) with medium (I 2 58.77%), and high (I 2 76.65%) heterogeneity, respectively.…”

Section: Meta-analysis Of Music Exposure Effects With Subgroup Analysismentioning

confidence: 99%

“…In the analysis of long-term hearing changes, nine studies using either a case-control study or a cross-sectional study were grouped [9,21,22,24,26,30,31,33,34]. The participants in these studies were assigned according to their PLD user group (or high-risk group) and non-PLD group based on the results of the questionnaires, interviews, and participants' usual listening levels.…”

Section: Long-term Hearing Changes Due To Music Exposurementioning

confidence: 99%

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The Effects of Short-Term and Long-term Hearing Changes on Music Exposure: A Systematic Review and Meta-Analysis

You

Kong

Han

2020

IJERPH

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The present study explores the scientific evidence on whether music exposure temporarily or permanently affects hearing sensitivity in young adults. Six electronic databases were searched using related keywords for the four categories of personal listening devices, listening habits, hearing outcomes, and age. The Hedges’ g and its 95% confidence intervals (CIs) were estimated. A Higgins I2 was also used to check for heterogeneity. To test for publication bias, funnel plots were drawn using Egger’s regression. Based on the inclusion criteria, 16 studies were divided into two groups to identify short-term hearing changes (n = 7) and long-term hearing changes (n = 9). In the short term, there was no significant immediate change in the thresholds or amplitudes after the music exposure, although pure-tone thresholds (PTAs) and distortion product otoacoustic emissions (DPOAEs) did show the highest effect size (−0.344, CI −0.727 to 0.038) and (0.124, CI −0.047 to 0.296) at 4 kHz. On the other hand, for long-term hearing changes, the PTA provided the highest effect size at 6 kHz (−0.525, CI −0.897 to −0.154) and 8 kHz (–0.486, CI −0.819 to −0.152), while also implying that habitual and repeated personal listening device (PLD) usage can act on some significant hearing changes in audiological tests. We conclude that the use of a PLD produces a few temporary hearing changes at 4 kHz after its use but that the changes are then reversed. However, it is important to note heavy PLD users’ experience regarding permanent changes in their hearing thresholds at high frequencies, and the public should be educated on this issue.

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Section: Meta-analysis Of Music Exposure Effects With Subgroup Analysismentioning

confidence: 99%

Section: Selection Outcomesmentioning

confidence: 99%

Section: Meta-analysis Of Music Exposure Effects With Subgroup Analysismentioning

confidence: 99%

Section: Meta-analysis Of Music Exposure Effects With Subgroup Analysismentioning

confidence: 99%

Section: Long-term Hearing Changes Due To Music Exposurementioning

confidence: 99%

See 3 more Smart Citations

The Effects of Short-Term and Long-term Hearing Changes on Music Exposure: A Systematic Review and Meta-Analysis

You

Kong

Han

2020

IJERPH

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Risk Factors For Hearing Decline From Childhood To Early Adolescence

et al. 2022

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Objective: To identify risk factors of hearing decline between 9 and 13 years of age. The risk factors examined included sociodemographic, health, and lifestyle-related factors.Methods: This study was embedded within a population-based prospective cohort study from fetal life onwards in the Netherlands. Pure-tone audiometry and tympanometry were performed at the age of 9 and 13 years. The hearing decline was defined as an increase in low-frequency or high-frequency pure-tone average of at least 5 dB in one of both ears. Multivariable logistic regression was performed to examine the association of possible risk factors with hearing decline. The study was conducted from April 2012 to October 2015, and from April 2016 to September 2019.Results: Of the 3,508 participants included, 7.8% demonstrated a hearing decline in the low frequencies, and 11.3% in the high frequencies. Participants who reported alcohol consumption were more likely to have a hearing decline in the low frequencies (OR 1.5, 95% CI 1.1; 2.0). Moreover, a lower educational level was associated with an increased odds of having a hearing decline in the high frequencies (OR 1.4, 95% CI 1.0; 1.8). Age, sex, household income, personal music player use, and body mass index were not associated with hearing decline.Conclusion: Educational level and risky behavior were significantly associated with hearing decline from childhood to early adolescence. The findings of the present study can help in the design of public health interventions to prevent hearing loss at a young age.

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A Smartphone Application and Education Program for Hearing Health Promotion in High School Teenagers

et al. 2022

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Objectives: To assess knowledge retention after video-based hearing health education and measure headphone listening behavior change using a novel smartphone application.Methods: In this prospective longitudinal study, students participated in video-based hearing health education and hearing screening sessions. Hearing health knowledge was assessed in students and parents after 6 weeks. A novel smartphone application was created to measure daily noise exposure based on volume settings with headphone use and to display the National Institute for Occupational Safety and Health (NIOSH) noise doses with alerts for cumulative daily doses nearing the maximum.Results: Seventy-six teenage students and parents participated. Eighty three percent of participants identified as a racial or ethnic minority and 66% were of low-income socioeconomic status. Hearing health knowledge was retained in students 6 weeks after education and parents' knowledge improved from baseline. The smartphone app was installed on 12 student phones, and 25% of days monitored exhibited noise doses that exceeded the NIOSH maximum. App use for at least 10 days by nine students showed a significant reduction in average daily noise dose and time spent at the highest volume settings during the second-half of app use.Conclusions: Video-based hearing health education with knowledge question reinforcement was associated with knowledge retention in students and improved parental attitudes and knowledge about hearing conservation. A smartphone app with a real-time display of headphone cumulative noise exposure dose identified at-risk students. The integration of hearing health education, hearing screening, and digital health tools has promised to promote positive behavior changes for long-term hearing conservation.

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Early Indication of Noise-Induced Hearing Loss in Young Adult Users of Personal Listening Devices

Abstract: These findings suggest that preventive measures may be warranted to prevent a future increase of clinically relevant NIHL among heavy users of PLDs.

Cited by 16 publications

References 33 publications

The Effects of Short-Term and Long-term Hearing Changes on Music Exposure: A Systematic Review and Meta-Analysis

The Effects of Short-Term and Long-term Hearing Changes on Music Exposure: A Systematic Review and Meta-Analysis

Risk Factors For Hearing Decline From Childhood To Early Adolescence

A Smartphone Application and Education Program for Hearing Health Promotion in High School Teenagers

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