Fine Particulate Constituents and Lung Dysfunction: A Time-Series Panel Study

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• 作者：Shujing Chen ; Yutong Gu ; Liping Qiao ; Cuicui Wang ; Yuanlin Song ; Chunxue Bai ; Yuchun Sun ; Haiying Ji ; Min Zhou ; Hongli Wang ; Renjie Chen ; Haidong Kan
• 刊名：Environmental Science & Technology
• 出版年：2017
• 出版时间：February 7, 2017
• 年：2017
• 卷：51
• 期：3
• 页码：1687-1694
• 全文大小：354K
• ISSN：1520-5851

文摘

The evidence is quite limited regarding the constituents of fine particulate matter (PM_2.5) responsible for lung dysfunction. We designed a time-series panel study in 28 patients to examine the effects of 10 major constituents of PM_2.5 on lung function with repeated daily measurements from December 2012 to May 2013 in Shanghai, China. We applied a linear mixed-effect model combined with a distributed lag model to estimate the cumulative effects of PM_2.5 constituents on morning/evening forced expiratory volume in 1-s (FEV₁) and peak expiratory flow (PEF) over a week. The cumulative decreases in morning FEV₁, evening FEV₁, morning PEF and evening PEF associated with an interquartile range (35.8 μg/m³) increase in PM_2.5 concentrations were 33.49 [95% confidence interval(CI):2.45,54.53] mL, 16.80 (95%CI:3.75,29.86) mL, 4.48 (95%CI:2.30,6.66) L/min, and 1.31 (95%CI:-0.85,3.47) L/min, respectively. These results were not substantially changed after adjusting for gases in two-pollutant models. The associations of elemental carbon (EC) and nitrates with morning/evening FEV₁, and the associations of EC and sulfates with morning PEF were robust after controlling for PM_2.5. This study demonstrated that short-term exposure to PM_2.5 was associated with reduced pulmonary function. Some constituents (EC, sulfate and nitrate) may be responsible for the detrimental effects.