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

Yi Wang, Chengyin Ye, Dahui Wang, Chenhui Li, Shichang Wang, Jinmei Li, Jinghua Wu, Xiaozhen Wang and Liangwen Xu
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Yi Wang: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Chengyin Ye: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Dahui Wang: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Chenhui Li: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Shichang Wang: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Jinmei Li: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Jinghua Wu: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Xiaozhen Wang: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China
Liangwen Xu: Department of Prevention Medicine, Hangzhou Normal University, Hangzhou 311121, China

IJERPH, 2021, vol. 18, issue 23, 1-14

Abstract: 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.

Keywords: high-frequency hearing loss; lasso regression; risk assessment model; risk factor; community residents (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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