Suppr超能文献

基于 APC 模型的中国露天煤矿煤工尘肺发病时间趋势及未来预测。

Time trends and future prediction of coal worker's pneumoconiosis in opencast coal mine in China based on the APC model.

机构信息

School of Public Health, China Medical University, Shenyang, 110122, People's Republic of China.

Disease Prevention and Control Department, Dalian Sixth People's Hospital, Dalian, China.

出版信息

BMC Public Health. 2018 Aug 14;18(1):1010. doi: 10.1186/s12889-018-5937-0.

Abstract

BACKGROUND

The opencast coal mine is a specific mine differing from the underground mine. There are differences in the way into the ore body, the organization of production, transport technology and other aspects. This study aimed to describe the prevalence of CWP among ex-dust miners in opencast coal mines and estimate the incidence trend of CWP by APC model in the future.

METHODS

All opencast miners who had been exposed to dust for at least 1 year in opencast mines were enrolled in this study. The database included demographic details, occupational history records with the date of dust exposure, physical examination records and pneumoconiosis diagnosis records. An age-period-cohort (APC) model has been carried out in order to explore the effects of the age, period and cohort on the prevalence of CWP among ex-dust opencast miners.

RESULTS

8191 opencast miners were enrolled in the study, including 259 miners with CWP and 7932 miners without CWP. The incidence density of CWP would have an increasing trend in opencast mines from 2005 to 2024. The number of possible CWP patients predicted in this period was approximately 492. Of them, 275 miners could have suffered from CWP in 2005-2014 and 217 miners would suffer from CWP in 2015-2024 among the ex-dust opencast miners.

CONCLUSIONS

The APC model had a goodness of fit in predicting the incidence trend of CWP in opencast coal mines. By this model, we predicted that 492 opencast miners could be diagnosed as CWP from 2005 to 2024. Therefore ex-dust opencast miners cannot be ignored and they should have regular physical examinations and detection for CWP.

摘要

背景

露天煤矿与地下煤矿不同,它在进入矿体的方式、生产组织、运输技术等方面存在差异。本研究旨在描述露天煤矿中尘肺患者的患病率,并通过 APC 模型预测未来尘肺的发病率趋势。

方法

所有在露天煤矿中至少暴露于粉尘 1 年的露天矿工都被纳入本研究。数据库包括人口统计学细节、有粉尘暴露日期的职业史记录、体检记录和尘肺病诊断记录。为了探讨年龄、时期和队列对尘肺患者患病率的影响,我们进行了年龄-时期-队列(APC)模型分析。

结果

本研究共纳入 8191 名露天矿工,其中 259 名矿工患有尘肺病,7932 名矿工没有尘肺病。2005 年至 2024 年,露天煤矿尘肺病的发病率密度呈上升趋势。在此期间,预测可能的尘肺病患者人数约为 492 人。其中,2005-2014 年期间可能有 275 名尘肺矿工,2015-2024 年期间可能有 217 名尘肺矿工。

结论

APC 模型在预测露天煤矿尘肺病发病率趋势方面具有良好的拟合度。通过该模型,我们预测从 2005 年到 2024 年,将有 492 名露天矿工被诊断为尘肺病。因此,不能忽视露天煤矿的尘肺患者,应定期对其进行体检和尘肺病检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d111/6092848/945025851938/12889_2018_5937_Fig1_HTML.jpg

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