Suppr超能文献

2013-2015 年巴西与噪声性听力损失通报相关的因素:一项生态学研究。

Factors associated with notification of noise-induced hearing loss in Brazil, 2013-2015: an ecological study.

机构信息

Universidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, BA, Brasil.

Universidade Federal da Bahia, Instituto de Ciências da Saúde, Salvador, BA, Brasil.

出版信息

Epidemiol Serv Saude. 2021;30(2):e2020607. doi: 10.1590/S1679-49742021000200018.

Abstract

OBJECTIVE

To investigate factors associated with the notification of noise-induced hearing loss (NIHL), on the Notifiable Health Conditions Information System (SINAN) in Brazil.

METHODS

This was an ecological study to estimate the proportion of municipalities that had notified NIHL. Logistic regression models were used to identify associated factors.

RESULTS

Between 2013-2015, 277 (5.0%) municipalities notified NIHL. Notification was more prevalent among municipalities in an Occupational Health Referral Center (CEREST) coverage area (OR=1.62 - 95%CI 1.02;2.59) or those that had a CEREST in their territory (OR=4.37 - 95CI% 2.75;6.93), those that were closer to the state capital (OR=1.43 - 95%CI 1.06;1.92) and those with a high human development index (OR=2.35 - 95%CI 1.16;4.75). Among the municipalities located in a CEREST coverage area, notification was more frequent when there was a speech-language-hearing professional in the team (OR=1.96 - 95%CI - 1.47;2.63) and when employee turnover was low (OR=1.88 - 95%CI 1.40;2.52).

CONCLUSION

Contextual factors influence NIHL notification, particularly the presence of CERESTs and their qualification.

摘要

目的

调查与巴西可报告健康状况信息系统(SINAN)中噪声性听力损失(NIHL)通知相关的因素。

方法

这是一项生态研究,旨在估计报告 NIHL 的市的比例。使用逻辑回归模型来确定相关因素。

结果

2013-2015 年期间,有 277 个(5.0%)市报告了 NIHL。在职业健康转介中心(CEREST)覆盖地区的市(OR=1.62-95%CI 1.02;2.59)或在其辖区内有 CEREST 的市(OR=4.37-95%CI%2.75;6.93)、更接近州首府的市(OR=1.43-95%CI 1.06;1.92)和人类发展指数较高的市(OR=2.35-95%CI 1.16;4.75),通知的发生率更高。在 CEREST 覆盖地区的市中,当团队中有言语-语言-听力专业人员(OR=1.96-95%CI-1.47;2.63)和员工流动率较低时(OR=1.88-95%CI 1.40;2.52),通知更为频繁。

结论

背景因素会影响 NIHL 的通知,特别是 CEREST 的存在及其资质。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验