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    刘晓波, 杨丽, 洪千淇, 杨光锦, 白宇娜, 刘洋, 康真. 2015年哈尔滨市某地区空气污染物与呼吸系统疾病门诊量关系的时间序列研究[J]. 环境卫生学杂志, 2017, 7(4): 279-283. DOI: 10.13421/j.cnki.hjwsxzz.2017.04.005
    引用本文: 刘晓波, 杨丽, 洪千淇, 杨光锦, 白宇娜, 刘洋, 康真. 2015年哈尔滨市某地区空气污染物与呼吸系统疾病门诊量关系的时间序列研究[J]. 环境卫生学杂志, 2017, 7(4): 279-283. DOI: 10.13421/j.cnki.hjwsxzz.2017.04.005
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    LIU Xiaobo, YANG Li, HONG Qianqi, YANG Guangjin, BAI Yuna, LIU Yang, KANG Zhen. Time-Series Analysis on Association between Air Pollutants and Hospital Outpatients for Respiratoty Diseases in A District, Harbin in 2015[J]. Journal of Environmental Hygiene, 2017, 7(4): 279-283. DOI: 10.13421/j.cnki.hjwsxzz.2017.04.005
    Citation: LIU Xiaobo, YANG Li, HONG Qianqi, YANG Guangjin, BAI Yuna, LIU Yang, KANG Zhen. Time-Series Analysis on Association between Air Pollutants and Hospital Outpatients for Respiratoty Diseases in A District, Harbin in 2015[J]. Journal of Environmental Hygiene, 2017, 7(4): 279-283. DOI: 10.13421/j.cnki.hjwsxzz.2017.04.005
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    2015年哈尔滨市某地区空气污染物与呼吸系统疾病门诊量关系的时间序列研究

    Time-Series Analysis on Association between Air Pollutants and Hospital Outpatients for Respiratoty Diseases in A District, Harbin in 2015

      摘要
    • 摘要:
      目的 初步探讨哈尔滨市道里区空气主要污染物（PM2.5、PM10、SO2、NO2）对人群呼吸系统疾病门诊量水平的影响。
      方法 采用广义线性模型，在控制长期趋势、气象因素和其他与时间长期变异有关的混杂因素条件下，分析空气主要污染物与人群呼吸系统疾病门诊量的关系。
      结果 2015年哈尔滨市道里区大气污染物PM2.5、PM10、SO2、NO2的全年日均质量浓度分别为62.51、95.61、36.97和55.01 μg/m3；哈尔滨市第一医院日均呼吸系统门诊量霾日高于非霾日，且具有统计学意义（P < 0.05）；大气污染物PM2.5、SO2水平与呼吸系统门诊量存在暴露-反应关系，滞后效应分析发现PM2.5污染当天，PM2.5浓度每升高10 μg/m3，人群呼吸系统疾病门诊量RR值为1.0052（95%CI：1.002 7~1.007 6），SO2在污染滞后1 d最为显著，SO2浓度每升高10 μg/m3，人群呼吸系统疾病门诊量RR值为1.005 1（95%CI：1.002 5~1.007 6）。
      结论 哈尔滨市道里区空气污染物（PM2.5、SO2）对人群呼吸系统疾病门诊量水平有影响。

       

      Abstract:
      Objective To evaluate the health effect of air pollutants(PM2.5, PM10, SO2, NO2)on hospital outpatients for respiratory diseases in Daoli District, Harbin.
      Methods The pollution of air pollutants and the morbidity of outpatients for respiratory diseases in Daoli District, Harbin in 2015 was described. A time-series analysis on the relationship between air pollutants and daily outpatient visits for respiratory diseases was examined by a generalized linear model while controlling time trends, temperature and humidity, the day of a week, holiday and weather condition.
      Results Daily average air pollutants, PM2.5, PM10, SO2 and NO2 in Daoli District, Harbin in 2015 were 62.51, 95.61, 36.97 and 55.01 μg/m3, respectively. The daily outpatients for respiratory diseases were increased in haze days (P < 0.05). In a single-pollutant model, there was a significant exposure-response association between PM2.5, and SO2 with daily outpatients for respiratory diseases; an increase of 10 μg/m3 PM2.5 was associated with an increase of outpatients for respiratory diseases in the same day (lag of 0 day), RR=1.005 2 (95% CI:1.002 7~1.007 6); and an increase of 10 μg/m3 SO2 was associated with an increase of outpatients for respiratory diseases in the next day (lag of 1 day), RR=1.005 1(95%CI:1.002 5~1.007 6), which showed the most significant influence of PM2.5 and SO2 on the daily outpatients for respiratory diseases.
      Conclusion The pollution of PM2.5 and SO2 had adverse effects on daily outpatients for respiratory diseases in Daoli District, Harbin.

       

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