Evidence map›Paper›PMID 40298058›Full record

ArticleNoise & health

The Role of a Smartphone Application in Monitoring the Risk of Hearing Loss Associated with Personal Listening Devices in Young Adults.

Deniz Tuz, Selin Sariçamlik, Ceren Bodur, Gülce Kirazli, Pelin Piştav Akmeşe

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Article in Noise & health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Deniz TuzDepartment of Audiology, Faculty of Health Sciences, Ege University, 35575 Izmir, Türkiye.
Selin SariçamlikDepartment of Audiology, Faculty of Health Sciences, Atilim University, 06830 Ankara, Türkiye.
Ceren BodurDepartment of Audiology, Faculty of Health Sciences, Ege University, 35575 Izmir, Türkiye.
Gülce KirazliDepartment of Audiology, Faculty of Health Sciences, Ege University, 35575 Izmir, Türkiye.
Pelin Piştav AkmeşeDepartment of Audiology, Faculty of Health Sciences, Ege University, 35575 Izmir, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Exposure to loud music has been reported to affect high-frequency hearing thresholds in adults. This study aimed to use a mobile application to assess the risk of hearing loss associated with personal listening devices (PLDs) in young adults. Methods A cross-sectional study was conducted on 99 healthy iPhone Operating System (iOS) smartphone users aged 17 to 31 years. Based on their weekly, monthly, 6-month, and annual listening data from the "Health" application, participants were classified into at-risk or non-risk groups. Six individuals in the at-risk group underwent audiological assessments. The Speech, Spatial, and Qualities of Hearing Scale (SSQ) was given to all participants. SSQ scores were compared between groups using the Mann-Whitney U test. The correlation between average PLD sound levels and SSQ scores was analyzed using the Spearman's test. Results The weekly, monthly, 6-month, and annual listening data showed that 16, 14, 12, and 12 participants were at risk, respectively. All six participants who underwent audiological assessment exhibited normal hearing thresholds. However, a pattern of decline at high frequencies was noted. A significant difference was found between the groups in terms of overall SSQ score (z = -2.74, P = 0.00), speech perception score (z = -3.25, P = 0.00), and hearing quality score (z = -2.01, P = 0.04) based on the 6-month and annual listening data. A weak positive correlation was found between the SSQ scores across all subscales and monthly sound-level data. Exposure duration was negatively correlated with speech perception (r = -0.32, P < 0.05), spatial perception (r = -0.26, P < 0.05), and overall score (r = -0.29, P < 0.05) in weekly data, as well as with hearing quality (r = -0.21; P < 0.05) and overall score (r = -0.21, P < 0.05) in annual data. Conclusions The immediate effects of loud music exposure were absent; however, prolonged exposure resulted in reduced speech perception and hearing-quality levels. Data from the iOS "Health" application indicated that some individuals were at risk of hearing loss, suggesting the need to modify their listening habits to prevent long-term decline in hearing function.

Indexed as

Hearing Loss, Noise-InducedMobile ApplicationsMusicSmartphoneAdolescentAdultCross-Sectional StudiesFemaleHumansMaleRisk AssessmentSpeech PerceptionYoung AdultHearing healthHearing lossMobile applicationNoise exposureYoung adult

Identifiers

PMID40298058
PMCPMC12063957

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.