Associations between adolescents’ earphone usage in noisy environments, hearing loss, and self-reported hearing problems in a nationally representative sample of South Korean middle and high school students

Byeon, Haewon

doi:10.1097/md.0000000000024056

Cited by 13 publications

(18 citation statements)

References 30 publications

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“…The vestibular inefficiency noted by Singh and Sasidharan may be one reason for the incidence of vertigo reported by regular PMS users in our study. The reduction we saw in hearing sensitivity among regular PMS users accords with previous reports [1,7,11]. Similarly, temporary threshold shift, which is an early indicator of permanent damage to hearing and an early sign of noise-induced hearing loss, has also been reported [1,7].…”

Section: Groupsupporting

confidence: 91%

“…Because music, as with other noises, has been reported to be harmful to the auditory system unless within safe limits, we felt it would be worthwhile to study the music listening behaviors of young adults. Previous studies have reported prolonged and unsafe music listening behaviors in this group [1,3,11]. A few studies in the literature have reported reduced hearing and vestibular dysfunction exhibited by individuals who use PMS regularly [1,3].…”

Section: Discussionmentioning

confidence: 73%

“…The maximum loudness levels in a PMS can reach up to 105 dB, a level which is alarmingly high and sufficient to cause permanent hearing loss over a long time. The undue use of PMS can be expected to be a factor that contributes to the increased incidence of hearing loss in young adults [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Auditory Effects of Personal Music Systems in Young Adults: A Questionnaire Based Study

Ghosh¹,

N.²,

M.V.³

2022

J Hear Sci

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Background: Noise exposure damages cochlear hair cells resulting in sensorineural hearing loss along with other symptoms like tinnitus and vertigo. One source of loud sound exposure in young adults is personal music systems (PMS). The present study investigated the auditoryrelated symptoms in regular PMS users by administering a questionnaire on PMS usage and associated symptoms in individuals who were regular users of PMS and compared results with non-regular PMS users.Material and methods: There were 260 young adults who participated in the study. Individuals who used PMS for ≥1 hour per day at a volume control setting of ≥60% for ≥2 years were considered regular PMS users, while other participants were considered non-regular PMS users. A custom-made questionnaire with a total of 24 questions was administered to all participants.Results: Statistical analysis indicated that the occurrence of symptoms such as reduced hearing and vertigo were significantly higher in regular PMS users than in non-regular users. However, other symptoms such as tinnitus, difficulty in perception of speech in noisy situations, ear pain, and headache were not significantly different between the groups. Conclusions:The findings substantiate the harmful effects of regular PMS usage on hearing and related functions. They also document the incidence of associated symptoms.

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Section: Groupsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 73%

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Auditory Effects of Personal Music Systems in Young Adults: A Questionnaire Based Study

Ghosh¹,

N.²,

M.V.³

2022

J Hear Sci

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“…In South Korea, Byeon (2021) explored the prevalence of hearing loss in adolescents based on the data from the 2013 Korea National Health and Nutrition Examination Survey [ 10 ]. The results revealed a 22.6% hearing-loss prevalence in adolescents who used earphones in a noisy environment.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Noise-Canceling Technology on How We Hear Sounds

Seol

Kim

et al. 2022

Healthcare

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Purpose: This study explores the influence of the noise-canceling technology in commercial earphones on sound pressure levels and preferred listening levels in terms of hearing protection. Materials and Methods: Thirty individuals completed puretone audiometry and real-ear measurements to assess sound pressure levels at the level of the eardrum with and without the activation of the noise-canceling function. The Knowles Electronics Manikin for Acoustic Research was used to investigate the acoustic characteristics of two environmental sounds (bus and café). Two types of earphones (wireless and wired canal type) were utilized in the study. Results: For both bus and café noises, in the low-frequency range, sound pressure levels were significantly decreased for all types of earphones when the noise-canceling function was turned on. The same results were observed for the whole frequency range. In terms of preferred listening levels, the wireless canal type and wired canal type earphones showed significant reduction in volume levels. Conclusion: The findings of the study show that for both low- and whole frequency range, the use of noise-canceling function significantly decreases the sound pressure levels of the signal for all styles of earphones, suggesting a potential of the noise-canceling technology in hearing protection.

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“…Many recent studies [ 13 , 14 ] have used machine learning based on big data to identify the risk factors of a disease while considering multiple risk factors. However, employing a single machine learning technique may show lower prediction performance, depending on the used algorithm, and it is possible to induce errors because the bias existing in each algorithm can affect the prediction result.…”

Section: Introductionmentioning

confidence: 99%

Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study

Byeon

2021

IJERPH

Self Cite

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This epidemiological study aimed to develop an X-AI that could explain groups with a high anxiety disorder risk in old age. To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models. (2) This study presented decision tree visualization that could help psychiatric consultants and primary physicians easily interpret the path of predicting high-risk groups based on major predictors derived from final machine learning models with the best performance. This study analyzed 1558 elderly (695 males and 863 females) who were 60 years or older and completed the Zung’s Self-Rating Anxiety Scale (SAS). We used support vector machine (SVM), random forest, LightGBM, and Adaboost for the base model, a single predictive model, while using XGBoost algorithm for the meta model. The analysis results confirmed that the predictive performance of the “SVM + Random forest + LightGBM + AdaBoost + XGBoost model (stacking ensemble: accuracy 87.4%, precision 85.1%, recall 87.4%, and F1-score 85.5%)” was the best. Also, the results of this study showed that the elderly who often (or mostly) felt subjective loneliness, had a Self Esteem Scale score of 26 or less, and had a subjective communication with their family of 4 or less (on a 10-point scale) were the group with the highest risk anxiety disorder. The results of this study imply that it is necessary to establish a community-based mental health policy that can identify elderly groups with high anxiety risks based on multiple risk factors and manage them constantly.

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Associations between adolescents’ earphone usage in noisy environments, hearing loss, and self-reported hearing problems in a nationally representative sample of South Korean middle and high school students

Cited by 13 publications

References 30 publications

Auditory Effects of Personal Music Systems in Young Adults: A Questionnaire Based Study

Auditory Effects of Personal Music Systems in Young Adults: A Questionnaire Based Study

Influence of the Noise-Canceling Technology on How We Hear Sounds

Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study

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