Acute and chronic effects of particles on hospital admissions in New-England.
Acute and chronic effects of particles on hospital admissions in New-England.
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DOI：
10.1371/journal.pone.0034664
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Schwartz JD
中科院分区：
文献类型：
--
作者：
Kloog I;Coull BA;Zanobetti A;Koutrakis P;Schwartz JD
许多研究都报告了PM2.5暴露与住院之间的显著关联，但都集中在短期暴露的影响上。此外，所有这些研究都依赖于其研究区域内数量有限的PM2.5监测仪，这引入了暴露误差，并且将农村和郊区人口排除在没有监测仪的地区之外，从而降低了普遍性，并可能产生选择偏差。利用结合土地利用回归和物理测量（卫星气溶胶光学深度）的暴露预测模型，我们研究了PM2.5暴露对新英格兰地区所有65岁及以上居民住院率的长期和短期影响。我们对每种入院类型分别进行泊松回归分析：所有呼吸系统疾病、心血管疾病（CVD）、中风和糖尿病。研究人员根据PM2.5长期和短期暴露、温度、社会经济数据和时间样条曲线对每个邮政编码的每日入场人数进行了回归，以控制基线风险的季节性趋势。我们观察到短期和长期暴露于PM2.5与住院治疗之间的关联。例如，对于呼吸道疾病，PM2.5短期暴露每增加10µg/m3，入院人数增加0.70% (CI = 0.35至0.52)，同时，PM2.5长期暴露每增加10µg/m3，入院人数增加4.22% （CI = 1.06至4.75）。与死亡率研究一样，与急性接触相比，慢性接触颗粒与住院人数的增加要大得多，使用我们的接触模型可以同时检测到两者。
Many studies have reported significant associations between exposure to PM2.5 and hospital admissions, but all have focused on the effects of short-term exposure. In addition all these studies have relied on a limited number of PM2.5 monitors in their study regions, which introduces exposure error, and excludes rural and suburban populations from locations in which monitors are not available, reducing generalizability and potentially creating selection bias. Using our novel prediction models for exposure combining land use regression with physical measurements (satellite aerosol optical depth) we investigated both the long and short term effects of PM2.5 exposures on hospital admissions across New-England for all residents aged 65 and older. We performed separate Poisson regression analysis for each admission type: all respiratory, cardiovascular disease (CVD), stroke and diabetes. Daily admission counts in each zip code were regressed against long and short-term PM2.5 exposure, temperature, socio-economic data and a spline of time to control for seasonal trends in baseline risk. We observed associations between both short-term and long-term exposure to PM2.5 and hospitalization for all of the outcomes examined. In example, for respiratory diseases, for every10-µg/m3 increase in short-term PM2.5 exposure there is a 0.70 percent increase in admissions (CI = 0.35 to 0.52) while concurrently for every10-µg/m3 increase in long-term PM2.5 exposure there is a 4.22 percent increase in admissions (CI = 1.06 to 4.75). As with mortality studies, chronic exposure to particles is associated with substantially larger increases in hospital admissions than acute exposure and both can be detected simultaneously using our exposure models.
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影响因子：
24.3
作者：
Fusco, D;Forastiere, F;Perucci, CA
通讯作者：
Perucci, CA
影响因子：
16.2
作者：
Andersen ZJ;Raaschou-Nielsen O;Ketzel M;Jensen SS;Hvidberg M;Loft S;Tjønneland A;Overvad K;Sørensen M
通讯作者：
Sørensen M
影响因子：
5
作者：
Gupta, Pawan;Christopher, Sundar A.;Kumar, Naresh
通讯作者：
Kumar, Naresh
影响因子：
10.4
作者：
Baja ES;Schwartz JD;Wellenius GA;Coull BA;Zanobetti A;Vokonas PS;Suh HH
通讯作者：
Suh HH
DOI：
10.1186/1476-069x-9-42
发表时间：
2010-07-23
期刊：
Environmental health : a global access science source
影响因子：
--
作者：
Halonen JI;Zanobetti A;Sparrow D;Vokonas PS;Schwartz J
通讯作者：
Schwartz J