{"title":"Wearing Comfort of Disposable Respirators: Experimental Analysis of Structural Properties and Physiological Indexes.","authors":"Jingqi Gao, Xiang Wu, Qun Li, Jianwu Chen, Yihang Liu, Shiyu Liu","doi":"10.1097/JOM.0000000000003538","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To establish an evidence-based respirator selection framework mitigating occupational pneumoconiosis risks caused by poor compliance due to discomfort.</p><p><strong>Methods: </strong>This study assessed wearing comfort via two experiments on structural performance and physiological indicators. Participants wore different respirators and performed tasks (sitting/low-intensity vs. simulated occupational task/medium-intensity) while parameters were measured. XGBoost-SHAP analysis method was used to identify key comfort determinants.</p><p><strong>Results: </strong>The wearing comfort was co-regulated by multiple factors in low-intensity task, with expiratory resistance most critically influenced heart rate, inspiratory resistance dominated facial temperature. Expiratory resistance became the decisive burden predictor in medium-intensity task. The valved models (9501 V+/9502 V+) minimized physiological strain, with the earband type performing better.</p><p><strong>Conclusion: </strong>This SHAP-based ergonomic tool enables protocolized respirator deployment by activity intensity, reducing work-related respiratory disease risks through clinically actionable safety guidelines.</p>","PeriodicalId":94100,"journal":{"name":"Journal of occupational and environmental medicine","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of occupational and environmental medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/JOM.0000000000003538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To establish an evidence-based respirator selection framework mitigating occupational pneumoconiosis risks caused by poor compliance due to discomfort.
Methods: This study assessed wearing comfort via two experiments on structural performance and physiological indicators. Participants wore different respirators and performed tasks (sitting/low-intensity vs. simulated occupational task/medium-intensity) while parameters were measured. XGBoost-SHAP analysis method was used to identify key comfort determinants.
Results: The wearing comfort was co-regulated by multiple factors in low-intensity task, with expiratory resistance most critically influenced heart rate, inspiratory resistance dominated facial temperature. Expiratory resistance became the decisive burden predictor in medium-intensity task. The valved models (9501 V+/9502 V+) minimized physiological strain, with the earband type performing better.
Conclusion: This SHAP-based ergonomic tool enables protocolized respirator deployment by activity intensity, reducing work-related respiratory disease risks through clinically actionable safety guidelines.