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2
Time-series analysis of mortality effects of fine particulate matter components in Detroit and Seattle.多成分细颗粒物对底特律和西雅图居民死亡率影响的时间序列分析。
Environ Health Perspect. 2011 Apr;119(4):461-6. doi: 10.1289/ehp.1002613. Epub 2010 Dec 30.
3
Atmospheric particle characterization, distribution, and deposition in Xi'an, Shaanxi Province, Central China.中国中部陕西省西安市的大气颗粒物特征、分布和沉积。
Environ Pollut. 2011 Feb;159(2):577-84. doi: 10.1016/j.envpol.2010.10.006. Epub 2010 Nov 16.
4
Urban ambient particle metrics and health: a time-series analysis.城市环境颗粒物指标与健康:时间序列分析。
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10
Hospital admissions and chemical composition of fine particle air pollution.医院收治情况与细颗粒物空气污染的化学成分
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与中国中部城市西安 PM(2.5)短期致死效应相关的化学物质的季节性变化。

Seasonal variation of chemical species associated with short-term mortality effects of PM(2.5) in Xi'an, a Central City in China.

机构信息

College of Environmental Sciences and Engineering and Center for Environment and Health, Beijing, China.

出版信息

Am J Epidemiol. 2012 Mar 15;175(6):556-66. doi: 10.1093/aje/kwr342. Epub 2012 Feb 9.

DOI:10.1093/aje/kwr342
PMID:22323403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3329213/
Abstract

The authors conducted a time-series analysis to examine seasonal variation of mortality risk in association with particulate matter less than 2.5 μm in aerodynamic diameter (PM(2.5)) and chemical species in Xi'an, China, using daily air pollution and all-cause and cause-specific mortality data (2004-2008). Poisson regression incorporating natural splines was used to estimate mortality risks of PM(2.5) and its chemical components, adjusting for day of the week, time trend, and meteorologic effects. Increases of 2.29% (95% confidence interval: 0.83, 3.76) for all-cause mortality and 3.08% (95% confidence interval: 0.94, 5.26) for cardiovascular mortality were associated with an interquartile range increase of 103.0 μg/m(3) in lagged 1-2 day PM(2.5) exposure. Stronger effects were observed for the elderly (≥65 years), males, and cardiovascular diseases groups. Secondary components (sulfate and ammonium), combustion species (elemental carbon, sulfur, chlorine), and transition metals (chromium, lead, nickel, and zinc) appeared most responsible for increased risk, particularly in the cold months. The authors concluded that differential association patterns observed across species and seasons indicated that PM(2.5)-related effects might not be sufficiently explained by PM(2.5) mass alone. Future research is needed to examine spatial and temporal varying factors that might play important roles in modifying the PM(2.5)-mortality association.

摘要

作者在中国西安进行了一项时间序列分析,以检查与空气动力学直径小于 2.5μm 的颗粒物(PM(2.5))和化学物质相关的死亡率的季节性变化,使用了每日空气污染和全因及特定原因死亡率数据(2004-2008 年)。Poisson 回归结合自然样条用于估计 PM(2.5)及其化学组分的死亡率风险,调整了星期几、时间趋势和气象效应。滞后 1-2 天 PM(2.5)暴露的每增加 103.0μg/m³,与全因死亡率增加 2.29%(95%置信区间:0.83,3.76)和心血管死亡率增加 3.08%(95%置信区间:0.94,5.26)相关。在老年人(≥65 岁)、男性和心血管疾病组中观察到更强的影响。二次组分(硫酸盐和铵盐)、燃烧物种(元素碳、硫、氯)和过渡金属(铬、铅、镍和锌)似乎对增加的风险最负责任,特别是在寒冷的月份。作者得出结论,观察到的物种和季节之间的差异关联模式表明,PM(2.5)相关的影响可能不能仅通过 PM(2.5)质量充分解释。需要进一步研究,以检验可能在改变 PM(2.5)-死亡率关联方面发挥重要作用的时空变化因素。