| 2015-2017年广州市番禺区大气PM2.5污染对某医院儿童呼吸系统疾病门诊量的影响 |
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| 引用本文： | 王晓捷,彭燕云,邓伟均,王维平,王星力. 2015-2017年广州市番禺区大气PM2.5污染对某医院儿童呼吸系统疾病门诊量的影响[J]. 华南预防医学, 2019, 45(2): 124-127. DOI: 10.13217/j.scjpm.2019.0124 |
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| 作者姓名： | 王晓捷 彭燕云 邓伟均 王维平 王星力 |
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| 作者单位： | 广州市番禺区疾病预防控制中心,广东广州,511400;广州市番禺区何贤纪念医院 |
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| 摘 要： | 目的 探讨广州市番禺区大气PM2.5对儿童呼吸系统疾病门诊量的影响。方法 通过医院信息系统收集广州市番禺区某医院2015—2017年儿科呼吸系统疾病日门诊量资料,同时通过广州市环保局收集同期环保资料,通过中国气象数据网收集同期气象资料,采用Spearman相关分析、时间序列广义相加模型（GAM）分析大气PM2.5浓度与同期医院儿科呼吸系统疾病门诊就诊量的关系。结果 Spearman相关分析结果显示,儿科呼吸系统疾病门诊量与PM2.5浓度呈正相关（r=0.16, P<0.05）。时间序列分析结果显示,儿科呼吸系统疾病门诊量在滞后3~5 d均有显著性增加效应（P<0.05）,滞后第4天PM2.5浓度对呼吸系统疾病门诊量的影响最强,PM2.5浓度每增加10 μg/m3,呼吸系统疾病门诊量增加0.72%（95%CI：0.22%~1.23%）。结论 2015—2017年广州市番禺区大气PM2.5污染对儿童呼吸系统疾病门诊量有显著影响,且存在滞后效应,PM2.5浓度增加会导致儿童呼吸系统疾病门诊量增加。
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| 关 键 词： | PM2.5 时间序列研究 儿童 呼吸道疾病 |
| 收稿时间： | 2018-11-26 |
Effect of PM2.5 concentration on outpatient visits of children with respiratory diseases in a hospital of Panyu District,Guangzhou, 2015 - 2017 |
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| WANG Xiao-jie,PENG Yan-yun,DENG Wei-jun,WANG Wei-ping,WANG Xing-li. Effect of PM2.5 concentration on outpatient visits of children with respiratory diseases in a hospital of Panyu District,Guangzhou, 2015 - 2017[J]. South China JOurnal of Preventive Medicine, 2019, 45(2): 124-127. DOI: 10.13217/j.scjpm.2019.0124 |
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| Authors: | WANG Xiao-jie PENG Yan-yun DENG Wei-jun WANG Wei-ping WANG Xing-li |
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| Affiliation: | 1.Panyu District Center for Disease Control and Prevention,Guangzhou 511400,China; 2. Hexian Memorial Hospital of Panyu |
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| Abstract: | Objective To examine the effect of ambient PM2.5 on daily outpatient visits of children with respiratory diseases in Panyu District, Guangzhou. Methods Data on daily outpatient visits of pediatric respiratory diseases from 2015 to 2017 were collected from a hospital in Panyu District though the hospital information system. Meanwhile, environmental quality data were collected from the Guangzhou Municipal Ecological Environment Bureau and meteorological data were collected from the China Meteorological Data Service Center. The Spearman correlation analysis and the time-series analysis with generalized additive model （GAM） were applied to analyze the association between the ambient PM2.5 concentration and outpatient visits of children with respiratory diseases during the same period. Results The Spearman correlation analysis revealed a significant association between PM2.5 concentration and the outpatient visits of children with respiratory diseases （r=0.16, P<0.05）.The GAM model indicated that the effect of PM2.5 on daily outpatient visits of children with respiratory diseases was observed in lag 3 to 5 days（P<0.05）, and the effect was greatest in lag4. An increment of 10 μg/m3 in concentration of PM2.5 was associated with an increment in the hospital outpatient visits of children with respiratory diseases by 0.72%（ 95% CI： 0.22%-1.23%） . Conclusion Ambient PM2.5 pollution affected the daily outpatient visits of children with respiratory diseases significantly, with a lag effect in Panyu District from 2015 to 2017. The increase of PM2.5 concentration would lead to the increase of outpatient visits of children with respiratory diseases. |
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| Keywords: | PM2.5 Time series study Children Respiratory disease |
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