Institute for Transport Studies, University of Leeds, Leeds, United Kingdom.
Institute for Transport Studies, University of Leeds, Leeds, United Kingdom; Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
Environ Int. 2017 Mar;100:1-31. doi: 10.1016/j.envint.2016.11.012. Epub 2016 Nov 21.
The question of whether children's exposure to traffic-related air pollution (TRAP) contributes to their development of asthma is unresolved. We conducted a systematic review and performed meta-analyses to analyze the association between TRAP and asthma development in childhood.
We systematically reviewed epidemiological studies published until 8 September 2016 and available in the Embase, Ovid MEDLINE (R), and Transport databases.
STUDY ELIGIBILITY CRITERIA, PARTICIPANTS, AND INTERVENTIONS: We included studies that examined the association between children's exposure to TRAP metrics and their risk of 'asthma' incidence or lifetime prevalence, from birth to age 18years old.
We extracted key characteristics of each included study using a predefined data items template and these were tabulated. We used the Critical Appraisal Skills Programme checklists to assess the validity of each included study. Where four or more independent risk estimates were available for a continuous pollutant exposure, we conducted overall and age-specific meta-analyses, and four sensitivity analyses for each summary meta-analytic exposure-outcome association.
Forty-one studies met our eligibility criteria. There was notable variability in asthma definitions, TRAP exposure assessment methods and confounder adjustment. The overall random-effects risk estimates (95% CI) were 1.08 (1.03, 1.14) per 0.5×10m black carbon (BC), 1.05 (1.02, 1.07) per 4μg/m nitrogen dioxide (NO), 1.48 (0.89, 2.45) per 30μg/m nitrogen oxides (NO), 1.03 (1.01, 1.05) per 1μg/m Particulate Matter <2.5μm in diameter (PM), and 1.05 (1.02, 1.08) per 2μg/m Particulate Matter <10μm in diameter (PM). Sensitivity analyses supported these findings. Across the main analysis and age-specific analysis, the least heterogeneity was seen for the BC estimates, some heterogeneity for the PM and PM estimates and the most heterogeneity for the NO and NO estimates.
LIMITATIONS, CONCLUSIONS AND IMPLICATION OF KEY FINDINGS: The overall risk estimates from the meta-analyses showed statistically significant associations for BC, NO, PM, PM exposures and risk of asthma development. Our findings support the hypothesis that childhood exposure to TRAP contributes to their development of asthma. Future meta-analyses would benefit from greater standardization of study methods including exposure assessment harmonization, outcome harmonization, confounders' harmonization and the inclusion of all important confounders in individual studies.
PROSPERO 2014: CRD42014015448.
儿童接触与交通相关的空气污染(TRAP)是否会导致哮喘的发展尚未得到解决。我们进行了一项系统评价,并进行了荟萃分析,以分析 TRAP 与儿童哮喘发展之间的关联。
我们系统地检索了截至 2016 年 9 月 8 日发表的,并可在 Embase、Ovid MEDLINE(R)和 Transport 数据库中获取的流行病学研究。
研究入选标准、参与者和干预措施:我们纳入了研究儿童接触 TRAP 指标与哮喘发病率或终生患病率(从出生到 18 岁)之间关系的研究。
我们使用预定义的数据项模板提取了每个纳入研究的关键特征,并进行了列表。我们使用关键评估技能计划检查表来评估每个纳入研究的有效性。对于连续污染物暴露,如果有四个或更多独立的风险估计值,则进行总体和年龄特异性荟萃分析,并对每个汇总荟萃分析暴露-结果关联进行四项敏感性分析。
41 项研究符合我们的入选标准。哮喘定义、TRAP 暴露评估方法和混杂因素调整存在显著差异。总体随机效应风险估计值(95%CI)分别为:每 0.5×10m 黑碳(BC)增加 1.08(1.03,1.14),每 4μg/m 二氧化氮(NO)增加 1.05(1.02,1.07),每 30μg/m 氮氧化物(NO)增加 1.48(0.89,2.45),每 1μg/m 直径<2.5μm 的颗粒物(PM)增加 1.03(1.01,1.05),每 2μg/m 直径<10μm 的颗粒物(PM)增加 1.05(1.02,1.08)。敏感性分析支持这些发现。在主要分析和年龄特异性分析中,BC 估计的异质性最小,PM 和 PM 估计的异质性中等,NO 和 NO 估计的异质性最大。
局限性、结论和主要发现的意义:荟萃分析的总体风险估计值显示,BC、NO、PM、PM 暴露与哮喘发展风险之间存在统计学显著关联。我们的研究结果支持这样一种假设,即儿童接触 TRAP 会导致他们患上哮喘。未来的荟萃分析将受益于研究方法的更大标准化,包括暴露评估的协调、结果的协调、混杂因素的协调以及将所有重要混杂因素纳入个别研究。
PROSPERO 2014:CRD42014015448。