[The short-term effects of particulate matter on lung function of college students in autumn and winter in Wuhan].
[The short-term effects of particulate matter on lung function of college students in autumn and winter in Wuhan].
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DOI：
10.3760/cma.j.issn.0253-9624.2013.02.013
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发表时间：
2013-02
影响因子：
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通讯作者：
Jiao Li;Lu Ma;Li-zhi Liu;Jie Zhou;Mingquan He;M. Shima;K. Tamura
中科院分区：
文献类型：
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作者：
Jiao Li;Lu Ma;Li-zhi Liu;Jie Zhou;Mingquan He;M. Shima;K. Tamura
目的评价武汉市秋冬季室内外PM2. 5（细颗粒物，空气动力学直径≤ 2. 5 µm的颗粒物）对大学生肺功能的影响。方法采用整群抽样的方法，对武汉市某高校37名19 ~ 21岁大学生（排除呼吸系统疾病和吸烟史）进行调查。跟踪研究共持续28天，包括两个研究期，即2009年10月29日至11月11日（秋季）和2009年12月23日至2010年1月5日（冬季），每天在大学内早晚测量大学生的呼气峰流量（PEF）。PM10和PM2.5分别在室内和室外进行监测。应用广义估计方程（GEE）分析PM对大学生肺功能的影响。结果秋季室内外PM2.5日平均浓度分别为（91.3 ± 43.7）和（104.2 ± 49.4）μg/m3，冬季室内外PM2.5日平均浓度分别为（110.6 ± 42.3）和（143.5 ± 51.2）μg/m3。单一污染物模型表明，在冬季，夜间PEF的减少与室外PM2.5的增加显着相关。随着室外PM2.5增加10 µg/m3，晚上测量的PEF降低1.27 L/min（95%CI：0.02 - 2.52 L/min）。同时，结果显示，滞后2天的室外PM2.5也与早晨的PEF显着相关。滞后2天的室外PM2.5每增加10 µg/m3，早晨测定的PEF值下降1.82 L/min（95%CI：-3.53 ~-0.11 L/min）。控制气态污染物的影响，建立两种污染物的模型，结果表明，学生暴露于PM2. 5的同一天（滞后0）的PEF没有显著变化。在考虑SO2影响的情况下，室外PM2.5每增加10 µg/m3，滞后2天，与早晨PEF的变化有显著相关性（-1.81 L/min，95%CI：-3.51 ~-0.11 L/min，P = 0.037），秋季未观察到浓度变化与PEF的相关性。结论在我们的面板研究中，暴露于室外PM2.5的大学生在冬季的PEF显着相关，而不是在秋季。
OBJECTIVE To evaluate the effects of indoor and outdoor PM2.5 (fine particulate matter, particulate matter with an aerodynamic diameter ≤ 2.5 µm) on lung function of college students in autumn and winter in Wuhan. METHODS In this panel study, 37 college students (excluded subject of respiratory disease and smoking history) aged 19 - 21 were investigated by cluster sampling in a university in Wuhan. The follow-up study lasted for 28 days in total, including two study periods, Oct. 29 to Nov. 11, 2009 (autumn) and Dec. 23, 2009 to Jan.5, 2010 (winter), the peak expiratory flow (PEF) of the college students were measured daily in the morning and evening in the university. PM10 and PM2.5 were monitored indoors and outdoors. The effects of PM on lung function of college students were analyzed by using generalized estimating equation (GEE). RESULTS Average daily concentrations of indoor, outdoor PM2.5 in autumn were (91.3 ± 43.7) and (104.2 ± 49.4) µg/m(3) respectively, while in winter the concentrations of indoor and outdoor PM2.5 were (110.6 ± 42.3) and (143.5 ± 51.2) µg/m(3). The single pollutant model showed that in winter, the evening PEF decrement was significantly associated with increasing outdoor PM2.5. With an increase of 10 µg/m(3) outdoor PM2.5, the PEF measured in the evening decreased 1.27 L/min (95%CI: 0.02 - 2.52 L/min, respectively). Meanwhile, the results showed that 2-days lagged outdoor PM2.5 was also significantly associated with morning PEF. An increase of 10 µg/m(3) 2-days lagged outdoor PM2.5 caused the decrease of 1.82 L/min (95%CI: -3.53 - -0.11 L/min) of PEF measured in the morning. Controlling the influence of gaseous pollutants and building the two pollutants models, the results indicated that no significant changes of PEF of students being exposed to PM2.5 on same day (lag 0) were observed. However, under consideration of SO2 effect, significant association between an increase of 10 µg/m(3) 2-days lagged outdoor PM2.5 and changes of morning PEF (-1.81 L/min, 95%CI: -3.51 - -0.11 L/min, P = 0.037) was found. The relationship between changes of concentrations and PEF was not observed in autumn in this study. CONCLUSION In our panel study, exposure to outdoor PM2.5 is significantly associated with PEF among college students in winter, but not in autumn.