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Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents

Early screening and detection of individuals at high risk of high-frequency hearing loss and identification of risk factors are critical to reduce the prevalence at community level. However, unlike those for individuals facing occupational auditory hazards, a limited number of hearing loss screening...

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Autores principales: Wang, Yi, Ye, Chengyin, Wang, Dahui, Li, Chenhui, Wang, Shichang, Li, Jinmei, Wu, Jinghua, Wang, Xiaozhen, Xu, Liangwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657277/
https://www.ncbi.nlm.nih.gov/pubmed/34886032
http://dx.doi.org/10.3390/ijerph182312311
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author Wang, Yi
Ye, Chengyin
Wang, Dahui
Li, Chenhui
Wang, Shichang
Li, Jinmei
Wu, Jinghua
Wang, Xiaozhen
Xu, Liangwen
author_facet Wang, Yi
Ye, Chengyin
Wang, Dahui
Li, Chenhui
Wang, Shichang
Li, Jinmei
Wu, Jinghua
Wang, Xiaozhen
Xu, Liangwen
author_sort Wang, Yi
collection PubMed
description Early screening and detection of individuals at high risk of high-frequency hearing loss and identification of risk factors are critical to reduce the prevalence at community level. However, unlike those for individuals facing occupational auditory hazards, a limited number of hearing loss screening models have been developed for community residents. Therefore, this study used lasso regression with 10-fold cross-validation for feature selection and model construction on 38 questionnaire-based variables of 4010 subjects and applied the model to training and testing cohorts to obtain a risk score. The model achieved an area under the curve (AUC) of 0.844 in the model validation stage and individuals’ risk scores were subsequently stratified into low-, medium-, and high-risk categories. A total of 92.79% (1094/1179) of subjects in the high-risk category were confirmed to have hearing loss by audiometry test, which was 3.7 times higher than that in the low-risk group (25.18%, 457/1815). Half of the key indicators were related to modifiable contexts, and they were identified as significantly associated with the incident hearing loss. These results demonstrated that the developed model would be feasible to identify residents at high risk of hearing loss via regular community-level health examinations and detecting individualized risk factors, and eventually provide precision interventions.
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spelling pubmed-86572772021-12-10 Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents Wang, Yi Ye, Chengyin Wang, Dahui Li, Chenhui Wang, Shichang Li, Jinmei Wu, Jinghua Wang, Xiaozhen Xu, Liangwen Int J Environ Res Public Health Article Early screening and detection of individuals at high risk of high-frequency hearing loss and identification of risk factors are critical to reduce the prevalence at community level. However, unlike those for individuals facing occupational auditory hazards, a limited number of hearing loss screening models have been developed for community residents. Therefore, this study used lasso regression with 10-fold cross-validation for feature selection and model construction on 38 questionnaire-based variables of 4010 subjects and applied the model to training and testing cohorts to obtain a risk score. The model achieved an area under the curve (AUC) of 0.844 in the model validation stage and individuals’ risk scores were subsequently stratified into low-, medium-, and high-risk categories. A total of 92.79% (1094/1179) of subjects in the high-risk category were confirmed to have hearing loss by audiometry test, which was 3.7 times higher than that in the low-risk group (25.18%, 457/1815). Half of the key indicators were related to modifiable contexts, and they were identified as significantly associated with the incident hearing loss. These results demonstrated that the developed model would be feasible to identify residents at high risk of hearing loss via regular community-level health examinations and detecting individualized risk factors, and eventually provide precision interventions. MDPI 2021-11-23 /pmc/articles/PMC8657277/ /pubmed/34886032 http://dx.doi.org/10.3390/ijerph182312311 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yi
Ye, Chengyin
Wang, Dahui
Li, Chenhui
Wang, Shichang
Li, Jinmei
Wu, Jinghua
Wang, Xiaozhen
Xu, Liangwen
Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents
title Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents
title_full Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents
title_fullStr Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents
title_full_unstemmed Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents
title_short Construction and Evaluation of a High-Frequency Hearing Loss Screening Tool for Community Residents
title_sort construction and evaluation of a high-frequency hearing loss screening tool for community residents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657277/
https://www.ncbi.nlm.nih.gov/pubmed/34886032
http://dx.doi.org/10.3390/ijerph182312311
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