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首页> 外文期刊>The Lancet Planetary Health >Time-weighted average of fine particulate matter exposure and cause-specific mortality in China: a nationwide analysis
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Time-weighted average of fine particulate matter exposure and cause-specific mortality in China: a nationwide analysis

机译:中颗粒物质暴露的时间加权平均值和中国造成特异性死亡率:全国范围内分析

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BackgroundMost previous assessments of the hazardous effects attributable to fine particulate matter (PM2·5) exposure have used ambient PM2·5as an exposure metric, resulting in substantial bias in effect estimates. We did a study to examine the association between cause-specific mortality and the time-weighted average of PM2·5exposure after accounting for indoor exposure in 267 cities in China.MethodsWe did a nationwide study, using Laser Egg air quality monitors in 36 cities to obtain data for indoor PM2·5concentrations from 18?484 anonymised households between Nov 1, 2015 and July 2, 2018. We developed and validated a nationwide indoor PM2·5prediction model for a further 302 cities by retrieving raw records of hourly concentrations from residents' air sensors; the model was used to predict indoor PM2·5during 2013 to 2018. Daily ambient PM2·5concentration data were estimated by averaging hourly ambient PM2·5concentrations obtained from China's National Urban Air Quality Real-time Publishing Platform. Daily numbers of deaths from all non-accidental causes were obtained from 324 cities from the Disease Surveillance Point System of China between Jan 1, 2013, to Dec 31, 2017, and calculated for 267 cities that had an average daily mortality above three, and data for PM2·5concentrations and meteorological information for at least 1 year between 2013 and 2017. We used distributed lag non-linear models to estimate city-specific associations between cause-specific mortality and reconstructed PM2·5exposure by considering indoor PM2·5exposure. We combined the city-specific effect estimates at the national level using a random effects meta-analysis.Findings13?972 records of daily indoor PM2·5concentrations for 36 cities, extracted from 47?459?183 raw records from the sensors were included for modelling indoor PM2·5levels. The nationwide indoor PM2·5concentration was 40 μg/m3(SD 21) between 2013 and 2017, which was approximately 20% lower than the ambient PM2·5concentration of 50 μg/m3(42). An increase of 10 μg/m3in time-averaged PM2·5exposure concentrations was associated with increased daily mortality estimates of 0·44% (95% CI 0·33–0·54) for total non-accidental causes, 0·50% (0·37–0·63) for cardiovascular diseases, 0·46% (0·28–0·63) for coronary heart disease, 0·49% (0·32–0·66) for stroke, 0·59% (0·39–0·79) for respiratory diseases, and 0·69% (0·45–0·92) for chronic obstructive pulmonary disease, respectively. Compared with previous estimations based on ambient PM2·5, our estimates approximately doubled the size of the effects related to PM2·5.InterpretationThis nationwide study revealed a higher mortality risk attributed to time-averaged indoor and ambient PM2·5exposure compared with the risk associated with ambient PM2·5exposure alone, which indicates that caution should be exercised when using ambient PM2·5as a surrogate for PM2·5exposure.FundingNational Natural Science Foundation of China (Youth Program) and the Fundamental Research Project of Beihang University.
机译:BackgroundMost前的有害影响的评估归因于细颗粒物(PM2·5)曝光已经使用环境PM2·5AS度量的曝光,导致在效应估计值大幅偏差。我们做了研究,探讨具体的死因别死亡率和PM2的·5exposure时间加权平均值之间的关联占室内曝光后在China.MethodsWe 267个城市做了一个全国性的研究中,使用激光蛋空气质量监测的36个城市获得室内PM2数据·2015年11月1日和2018年7月2日之间,距离18?484户匿名我们5concentrations开发和居民检索小时浓度的原始记录验证一个全国性的室内PM2·5prediction再302个城市模型空气传感器;该模型用来预测室内PM2·5during 2013年至2018年日常环境PM2·5concentration数据估计通过平均从中国的全国城市空气质量实时发布平台获得每小时环境PM2·5concentrations。从324个城市2013年1月1日之间获得来自中国的疾病监测点系统从所有非意外原因死亡病例的日报数量,到2017年12月31日,并计算该有三个以上的平均每天死亡267个城市,并数据PM2·5concentrations和2013年和2017年之间进行至少1年的气象信息,我们使用分布滞后非线性模型来估计死因死亡率之间城市的具体组织和考虑室内PM2·5exposure重建PM2·5exposure。我们采用随机效应荟萃analysis.Findings13结合在国家一级的特定城市的效应估计?972个记录日常室内PM2的·36个城市,从47?459?183个原料来自传感器的记录中提取5concentrations被列入建模室内PM2·5levels。全国范围室内PM2·5concentration为40微克/立方米2013和2017之间(SD 21),这是大约20%比环境PM2降低·50微克/立方米(42)5concentration。的增加10微克/ m3in时间平均PM2·5exposure浓度用的每日死亡率估计的增加有关0·44%(95%CI 0·33-0·54),用于总的非偶然原因,0·50%( 0·37-0·63),用于心血管疾病,0·46%(0·28-0·63),用于冠状心脏疾病,0·49%(0·32-0·66),用于中风,0·59% (0·39-0·79),用于呼吸系统疾病,和0·69%(0·45-0·92),用于慢性阻塞性肺疾病,分别。基于环境PM2·5之前的估计相比,我们的估计约一倍的相关PM2的影响大小·5.InterpretationThis全国性研究发现了更高的死亡风险归因于时间平均室内环境PM2·5exposure与相关的风险相比,与周围PM2·独5exposure,这表明应谨慎使用环境PM2时行使·5AS替代为PM2·中国的5exposure.FundingNational自然科学基金(青年项目)和北京航空航天大学的基础研究项目。

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