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    高莹, 沈玉, 周慧婵, 李湉湉, 刘园园, 董皓冉, 张迎建, 方建龙, 张美云. 个体PM2.5暴露与老年人肺功能关系[J]. 环境卫生学杂志, 2019, 9(5): 482-488. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.014
    引用本文: 高莹, 沈玉, 周慧婵, 李湉湉, 刘园园, 董皓冉, 张迎建, 方建龙, 张美云. 个体PM2.5暴露与老年人肺功能关系[J]. 环境卫生学杂志, 2019, 9(5): 482-488. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.014
    shu
    GAO Ying, SHEN Yu, ZHOU Huichan, LI Tiantian, LIU Yuanyuan, DONG Haoran, ZHANG Yingjian, FANG Jianlong, ZHANG Meiyun. Relationship between Individual PM2.5 Exposure and Lung Function in the Elderly[J]. Journal of Environmental Hygiene, 2019, 9(5): 482-488. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.014
    Citation: GAO Ying, SHEN Yu, ZHOU Huichan, LI Tiantian, LIU Yuanyuan, DONG Haoran, ZHANG Yingjian, FANG Jianlong, ZHANG Meiyun. Relationship between Individual PM2.5 Exposure and Lung Function in the Elderly[J]. Journal of Environmental Hygiene, 2019, 9(5): 482-488. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.014
    shu

    个体PM2.5暴露与老年人肺功能关系

    Relationship between Individual PM2.5 Exposure and Lung Function in the Elderly

      摘要
    • 摘要:
      目的 探索个体PM2.5暴露与老年人肺功能之间的关系，为开展人群健康风险评估，制定相关的健康防护政策等提供参考。
      方法 采用定组研究方法，在济南市历下区甸柳社区招募社区老年居民。纳入（60~69）岁、常住本社区2年以上、生活作息规律、活动范围固定、配合度较好者，排除吸烟、酗酒、肥胖、患有心肺系统疾病、糖尿病等基础疾病以及高血糖、高血压、高血脂和肺功能异常的老年人。共纳入研究对象76名。调查性别、年龄、身高、体重、教育程度、收入等情况。于2018年9月10日—2019年1月21日，每月使用PM2.5实时监测系统对研究对象开展为期3 d的个体PM2.5暴露监测，在每次个体暴露监测结束后测量调查对象的肺功能，共开展5次。采用线性混合效应模型，在控制了季节、平均温度、相对湿度和个体特征等协变量后分析PM2.5和肺功能的关系。
      结果 调查期间研究对象个体PM2.5的暴露量的中位数为47.86 μg/m3，研究对象的肺功能的用力肺活量（FVC）和用力呼气1秒量（FEV1）的中位数分别为3.14和2.30 L，FEV1/FVC的中位数为76.93%，25%肺活量时的用力呼气流速（FEF25%）、50%肺活量时的用力呼气流速（FEF50%）和75%肺活量时的用力呼气流速（FEF75%）的中位数分别为4.63、2.58和0.96 L/s。在lag 2 d（肺功能检测前2天）时PM2.5每升高10 μg/m3，FVC下降0.08%（95%CI：-0.28，0.12，P=0.45），FEV下降0.06%（95%CI：-0.3，0.2，P=0.67），在lag 02 d（肺功能检测当天至前2 d的移动平均）时PM2.5每升高10 μg/m3，FEV1/FVC下降0.05%（95%CI：-0.2，0.2，P=0.99）。
      结论 本研究未发现PM2.5短期暴露对老年人的肺功能指标有明显影响。

       

      Abstract:
      Objectives To analyze the relationship between individual PM2.5 exposure and lung function of the elderly, and provide data for carrying out health risk assessment of the population and formulating relevant health protection policies.
      Methods A panel study was conducted from Sept 10th, 2018 to Jan 21th, 2019 in an urban community. Participants were (60~69) years old, who lived in the community for at least 2 years and had a regular daily work and rest schedule, fixed activity scope, good cooperation degree. Excluding the elderly with smoking, alcohol abuse, overweight and obesity, cardiopulmonary diseases, diabetes and other basic diseases. A total of 76 subjects were eligible. The information, such as age, gender, height, weight, education, income were collected from questionnaire. Subjects were requested to have five monthly lung function measurements. Real time concentrations of PM2.5 were from RPPM2.5system. Linear mixed models were applied to analyze the association between PM2.5 and lung function.
      Results The median of PM2.5 is 47.86 μg/m3. The median of FVC, FEV1 was 3.14 and 2.30 L, and the median of FVC/FEV1 was 76.93%, the median of FEF25%, FEF50% and FEF75% were 4.63, 2.58 and 0.96 L/s, respectively. Each 10 μg/m3 increase in PM2.5 concentration on 3 days prior to Lung function, FVC、FEV1 and FEV1/FVC decreased 0.08% (95% CI: -0.28, 0.12, P=0.45), 0.06% (95% CI: -0.3, 0.2, P=0.67) and 0.05% (95% CI: -0.2, 0.2, P=0.99), respectively.
      Conclusions The study founds no significant effect of daily PM2.5 exposure on lung function in the elderly.

       

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