1 National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency , Research Triangle Park, North Carolina, USA.
2 Division of Biostatistics and Bioinformatics, Department of Biomedical Research, National Jewish Health , Denver, Colorado, USA.
Environ Health Perspect. 2019 Mar;127(3):37006. doi: 10.1289/EHP3860.
The effects of exposure to fine particulate matter ([Formula: see text]) during wildland fires are not well understood in comparison with [Formula: see text] exposures from other sources.
We examined the cardiopulmonary effects of short-term exposure to [Formula: see text] on smoke days in the United States to evaluate whether health effects are consistent with those during non-smoke days.
We examined cardiopulmonary hospitalizations among adults [Formula: see text] y of age, in U.S. counties ([Formula: see text]) within [Formula: see text] of 123 large wildfires during 2008-2010. We evaluated associations during smoke and non-smoke days and examined variability with respect to modeled and observed exposure metrics. Poisson regression was used to estimate county-specific effects at lag days 0-6 (L0-6), adjusted for day of week, temperature, humidity, and seasonal trend. We used meta-analyses to combine county-specific effects and estimate overall percentage differences in hospitalizations expressed per [Formula: see text] increase in [Formula: see text].
Exposure to [Formula: see text], on all days and locations, was associated with increased hospitalizations on smoke and non-smoke days using modeled exposure metrics. The estimated effects persisted across multiple lags, with a percentage increase of 1.08% [95% confidence interval (CI): 0.28, 1.89] on smoke days and 0.67% (95% CI: [Formula: see text], 1.44) on non-smoke days for respiratory and 0.61% (95% CI: 0.09, 1.14) on smoke days and 0.69% (95% CI: 0.19, 1.2) on non-smoke days for cardiovascular outcomes on L1. For asthma-related hospitalizations, the percentage increase was greater on smoke days [6.9% (95% CI: 3.71, 10.11)] than non-smoke days [1.34% (95% CI: [Formula: see text], 3.77)] on L1.
The increased risk of [Formula: see text]-related cardiopulmonary hospitalizations was similar on smoke and non-smoke days across multiple lags and exposure metrics, whereas risk for asthma-related hospitalizations was higher during smoke days. https://doi.org/10.1289/EHP3860.
与其他来源的[Formula: see text]暴露相比,野火期间细颗粒物 ([Formula: see text]) 暴露的影响还不太清楚。
我们研究了美国短期暴露于[Formula: see text]对烟雾日的心肺影响,以评估健康影响是否与非烟雾日一致。
我们研究了 2008-2010 年期间 123 次大型野火期间[Formula: see text]岁及以上美国县([Formula: see text])内住院的心肺疾病患者。我们评估了烟雾日和非烟雾日的相关性,并根据模型和观测暴露指标检查了变异性。泊松回归用于调整星期几、温度、湿度和季节性趋势后,估计滞后 0-6 天 (L0-6) 的县特定效应。我们使用荟萃分析合并县特定效应,并估计表示每增加[Formula: see text]的住院百分比差异。
无论在何处,暴露于[Formula: see text]与烟雾日和非烟雾日的住院人数增加有关,使用模型暴露指标。估计的影响持续存在于多个滞后期,烟雾日的百分比增加为 1.08%(95%CI:0.28,1.89),非烟雾日为 0.67%(95%CI:[Formula: see text],1.44),呼吸道疾病为 0.61%(95%CI:0.09,1.14),心血管疾病为 0.69%(95%CI:0.19,1.2)在 L1 上。对于与哮喘相关的住院治疗,烟雾日的百分比增加为 6.9%(95%CI:3.71,10.11),而非烟雾日为 1.34%(95%CI:[Formula: see text],3.77)在 L1 上。
在多个滞后期和暴露指标上,烟雾日和非烟雾日与心肺疾病相关的[Formula: see text]住院风险增加相似,而哮喘相关住院风险在烟雾日更高。https://doi.org/10.1289/EHP3860.