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Associations between ambient air pollution and mortality from all causes, pneumonia, and congenital heart diseases among children aged under 5 years in Beijing, China: A population-based time series study

机译:环境空气污染与中国北京5岁以下儿童的所有原因,肺炎和先天性心脏病之间的联想:基于人口的时间序列研究

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摘要

Background: Previous studies have mainly focused on the associations between paniculate matters and infant mortality. However, evidence regarding the associations between gaseous pollutants and mortality among children aged < 5 years remains sparse. Objectives: The aim of this study was to investigate the associations between ambient air pollution and death among children aged < 5 years in Beijing, China, and explore the impact of age, gender and specific causes of death on these associations. Methods: Concentrations of ambient air pollution and the number of deaths among children aged < 5 years in Beijing from January 2014 to September 2016 were extracted from authoritative electronic databases. The associations were estimated for a single-month lag from the current month up to the previous 5 months (lag0-lag5) and moving averages of the current and previous months (lag01-lag05) using generalized additive Poisson regression (adjusted for time trends, season, meteorological variables and holidays). Subgroup analyses related to age, gender and specific diseases were performed. Two-pollutant models were used to evaluate the possible role of single pollutants. Results: Sulfur dioxide (SO_2), nitrogen dioxide (NO_2) and carbon monoxide (CO) demonstrated the strongest associations with death among children aged < 5 years at lag0, and the estimates decreased or even turned negative with the increasing lag periods. For an interquartile range increase in SO_2, NO_2 and CO at lag0, the odds ratios (OR) were 1.332 (95% CI 1.152-1.539), 1.383 (95% CI 1.113-1.718) and 1.273 (95% CI 1.028-1.575). However, CO lost significance after adjusting for SO_2 and NO_2, and PM_(2.5) gained significance (OR 1.548, 95% CI 1.061-2.258) after adjusting for PM_(10). The ORs for SO_2 and NO_2 remained the most stable across all two-pollutant models. The associations for children aged 1-5 years were stronger than those reported for infants at lag0 but lower at the other lag months. The pollutant associations were stronger for congenital heart disease-related death than overall and pneumonia-related death. We did not find significant differences in terms of gender. Conclusion: Exposure to air pollution may increase the incidence of death among children aged < 5 years. SO_2 and NO_2 may be the most stable pollutants reflecting associations between air pollution and death, deserving further attention. Children with congenital heart diseases are more susceptible to air pollution. Therefore, it is urgent to implement the clean air targets established by WHO and reduce the exposure of children to air pollution.
机译:背景:以前的研究主要集中在粮食事项和婴儿死亡率之间的关联。然而,关于5岁儿童的气态污染物和死亡率之间的关联的证据仍然稀疏。目的:本研究的目的是调查<5年来北京,中国的儿童的环境空气污染和死亡的协会,探讨年龄,性别和死亡的特定原因对这些协会的影响。方法:从权威电子数据库提取2014年1月至2016年9月北京5年儿童的浓度和北京5年的死亡人数。估计协会从本月到前5个月(LAG0-LAG5)的单个月滞后,并使用广义添加剂泊松回归(调整时间趋势),移动当前和前几个月(LAG01-LAG05)的平均值(调整时间趋势,季节,气象变量和假期)。进行年龄,性别和特定疾病相关的亚组分析。双污染物模型用于评估单一污染物的可能作用。结果:二氧化硫(SO_2),二氧化氮(NO_2)和一氧化碳(CO)展示了在<5年龄在LAG0的儿童死亡中最强的联合,并且估计随着滞后期的增加而降低甚至变成负面。对于在LAG0的SO_2,NO_2和CO中的四分位数范围增加,优化比率(或)为1.332(95%CI 1.152-1.53​​9),1.383(95%CI 1.113-1.718)和1.273(95%CI 1.028-1.575) 。然而,在调整PM_(10)后调整SO_2和NO_2和PM_(2.5)的PM_(2.5)的显着性(或1.548,95%CI 1.061-2.258)。 SO_2和NO_2的ORS仍然是所有两种污染模型中最稳定的。 1-5岁的儿童的协会比婴儿在LAG0的婴儿报告但在其他滞后月下降的缔约年的儿童。污染物的缔促进剂与先天性心脏病相关的死亡更强,而不是总体和肺炎相关的死亡。我们没有发现性别方面的显着差异。结论:暴露于空气污染可能会增加5岁儿童死亡的发生率。 SO_2和NO_2可能是最稳定的污染物反映了空气污染与死亡之间的关联,值得进一步关注。具有先天性心脏病的儿童更容易受到空气污染的影响。因此,迫切需要实施由世卫组织建立的清洁空气目标,并减少儿童暴露于空气污染。

著录项

  • 来源
    《Environmental research》 |2019年第9期|108531.1-108531.11|共11页
  • 作者单位

    Department of Children's Health Care Beijing Obstetrics and Gynecology Hospital Capital Medical University No. 251 Yaojiayuan Road Chaoyang District Beijing 100026 China Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

    Department of Children's Health Care Beijing Obstetrics and Gynecology Hospital Capital Medical University No. 251 Yaojiayuan Road Chaoyang District Beijing 100026 China;

    Department of Children's Health Care Beijing Obstetrics and Gynecology Hospital Capital Medical University No. 251 Yaojiayuan Road Chaoyang District Beijing 100026 China;

    Department of Epidemiology and Health Statistics School of Public Health Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology No. 10 Xi Toutiao You Anmenwai Fengtai District Beijing 100069 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ambient air pollution; Time series study; Children aged < 5 years; Generalized additive Poisson regression;

    机译:环境空气污染;时间序列研究;5岁儿童;广义添加剂泊松回归;
  • 入库时间 2022-08-18 22:58:00

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