Exposure to traffic-related air pollution and risk of development of childhood asthma: A systematic review and meta-analysis.

Environ Int

ISGlobal CREAL, C/Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), C/Dr. Aiguader 88, 08003, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), C/Monforte de Lemos 3-5, 28029 Madrid, Spain.

Published: March 2017

AI Article Synopsis

Article Abstract

Background And Objective: 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.

Data Sources: 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.

Study Appraisal And Synthesis Methods: 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.

Results: 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.

Systematic Review Registration Number: PROSPERO 2014: CRD42014015448.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.envint.2016.11.012DOI Listing

Publication Analysis

Top Keywords

exposure traffic-related
8
traffic-related air
8
air pollution
8
systematic review
8
children's exposure
8
eligibility criteria
8
included study
8
risk estimates
8
exposure
5
risk
4

Similar Publications

Association between traffic-related air pollution and risk of outpatient visits for dry eye disease in a megacity along the subtropical coast in South China.

BMC Public Health

January 2025

Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, PR China.

Background: Traffic-related air pollution especially in highly socioeconomically developed megacity is usually considered as a severe problem leading to inevitable adverse health outcomes. This study aimed to investigate the associations between traffic-related air pollutants with risk of dry eye disease (DED) outpatient visits in a megacity (Guangzhou) along the subtropical coast in South China.

Methods: Daily data on DED outpatient visits and environmental variables from 1 January 2014 to 31 December 2020 in Guangzhou were obtained.

View Article and Find Full Text PDF

Significant NO Formation in Truck Exhaust Plumes and Its Association with Ambient O: Evidence from Extensive Plume-Chasing Measurements.

Environ Sci Technol

January 2025

School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China.

Vehicle nitrogen oxides (NO) significantly increase nitrogen dioxide (NO) exposure in traffic-related environments. The NO/NO ratios are crucial for accurate NO modeling and are closely linked to public health concerns. In 2020, we used a mobile platform to follow test trucks (plume-chasing) that were installed with a portable emission measuring system (PEMS) on two restricted driving tracts.

View Article and Find Full Text PDF

Traffic-related air pollution (TRAP) exposure, lung function, airway inflammation and expiratory microbiota: A randomized crossover study.

Ecotoxicol Environ Saf

January 2025

College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address:

Traffic-related air pollution (TRAP) has been linked with numerous respiratory diseases. Recently, lung microbiome is proposed to be characterized with development and progression of respiratory diseases. However, the underlying effects of TRAP exposure on lung microbiome are rarely explored.

View Article and Find Full Text PDF

Background: Billions of dollars have been spent implementing regulations to reduce traffic-related air pollution (TRAP) from exhaust pipe emissions. However, few health studies have evaluated the change in TRAP emissions and associations with infant health outcomes. We hypothesize that the magnitude of association between vehicle exposure measures and adverse birth outcomes has decreased over time, parallelling regulatory improvements in exhaust pipe emissions.

View Article and Find Full Text PDF

Mapping environmental noise of Guangzhou based on land use regression models.

J Environ Manage

January 2025

Department of Epidemiology and Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China. Electronic address:

Background: Environmental noise seriously affects people's health and life quality, but there is a scarcity of noise exposure data in metropolitan cities and at nighttime, especially in developing countries.

Objective: This study aimed to assess the environmental noise level by land use regression (LUR) models and create daytime and nighttime noise maps with high-resolution of Guangzhou municipality.

Methods: A total of 100 monitoring sites were randomly selected according to population density.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!