Quantifying the impact of daily mobility on errors in air pollution exposure estimation using mobile phone location data

BackgroundAir pollution is associated with asthma development in children and adults, but the impact on asthma development during the transition from adolescence to adulthood is unclear. Adult studies lack historical exposures and consequently cannot assess the relevance of exposure during different periods of life. We assessed the relevance of early-life and more recent air pollution exposure for asthma development from birth until early adulthood.MethodsWe used data of 3687 participants of the prospective Dutch PIAMA (Prevention and Incidence of Asthma and Mite Allergy) birth cohort and linked asthma incidence until age 20 years to estimated concentrations of nitrogen dioxide (NO2), particulate matter with a diameter <2.5 μm (PM2.5), <10 μm (PM10), and 2.5–10 μm, and PM2.5 absorbance (“soot”) at the residential address. We assessed overall and age-specific associations with air pollution exposure with discrete time-hazard models, adjusting for potential confounders.ResultsOverall, we found higher incidence of asthma until the age of 20 years with higher exposure to all pollutants at the birth address (adjusted odds ratio (95% CI) ranging from 1.09 (1.01–1.18) for PM10 to 1.20 (1.10–1.32) for NO2) per interquartile range increase) that were rather persistent with age. Similar associations were observed with more recent exposure defined as exposure at the current home address. In two-pollutant models with particulate matter, associations with NO2 persisted.ConclusionsExposure to air pollution, especially from motorised traffic, early in life may have long-term consequences for asthma development, as it is associated with an increased risk of developing asthma through childhood and adolescence into early adulthood.

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Use of mobile phone traffic data for the assessment of air pollution exposure of urban population.

ISEE Conference Abstracts ◽

10.1289/isee.2016.3007 ◽

2016 ◽

Vol 2016 (1) ◽

Author(s):

Claudio Gariazzo* ◽

Armando Pelliccioni ◽

Andrea Bolignano

Keyword(s):

Air Pollution ◽

Mobile Phone ◽

Urban Population ◽

Traffic Data ◽

Air Pollution Exposure ◽

Pollution Exposure

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Evaluation of observation-fused regional air quality model results for population air pollution exposure estimation

The Science of The Total Environment ◽

10.1016/j.scitotenv.2014.03.107 ◽

2014 ◽

Vol 485-486 ◽

pp. 563-574 ◽

Cited By ~ 46

Author(s):

Gang Chen ◽

Jingyi Li ◽

Qi Ying ◽

Seth Sherman ◽

Neil Perkins ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Air Quality Model ◽

Quality Model ◽

Exposure Estimation ◽

Air Pollution Exposure ◽

Regional Air Quality ◽

Pollution Exposure

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Who Could Not Avoid Exposure to High Levels of Residence-Based Pollution by Daily Mobility? Evidence of Air Pollution Exposure from the Perspective of the Neighborhood Effect Averaging Problem (NEAP)

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17041223 ◽

2020 ◽

Vol 17 (4) ◽

pp. 1223 ◽

Cited By ~ 4

Author(s):

Xinlin Ma ◽

Xijing Li ◽

Mei-Po Kwan ◽

Yanwei Chai

Keyword(s):

Air Pollution ◽

Low Income ◽

Well Being ◽

Vulnerable Groups ◽

Neighborhood Effect ◽

Daily Mobility ◽

Averaging Problem ◽

Air Pollution Exposure ◽

High Pollution ◽

Pollution Exposure

It has been widely acknowledged that air pollution has a considerable adverse impact on people’s health. Disadvantaged groups such as low-income people are often found to experience greater negative effects of environmental pollution. Thus, improving the accuracy of air pollution exposure assessment might be essential to policy-making. Recently, the neighborhood effect averaging problem (NEAP) has been identified as a specific form of possible bias when assessing individual exposure to air pollution and its health impacts. In this paper, we assessed the real-time air pollution exposure and residential-based exposure of 106 participants in a high-pollution community in Beijing, China. The study found that: (1) there are significant differences between the two assessments; (2) most participants experienced the NEAP and could lower their exposure by their daily mobility; (3) three vulnerable groups with low daily mobility and could not avoid the high pollution in their residential neighborhoods were identified as exceptions to this: low-income people who have low levels of daily mobility and limited travel outside their residential neighborhoods, blue-collar workers who spend long hours at low-end workplaces, and elderly people who face many household constraints. Public policies thus need to focus on the hidden environmental injustice revealed by the NEAP in order to improve the well-being of these environmentally vulnerable groups.

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Exposure to outdoor air pollution and its human-related health outcomes: an evidence gap map

BMJ Open ◽

10.1136/bmjopen-2019-031312 ◽

2019 ◽

Vol 9 (12) ◽

pp. e031312 ◽

Cited By ~ 1

Author(s):

Zhuanlan Sun ◽

Demi Zhu

Keyword(s):

Air Pollution ◽

Health Outcomes ◽

Future Research ◽

Outdoor Air ◽

Eligibility Criteria ◽

Study Region ◽

Outdoor Air Pollution ◽

Air Pollution Exposure ◽

Pollution Exposure ◽

The Impact

ObjectivesOutdoor air pollution is a serious environmental problem worldwide. Current systematic reviews (SRs) and meta-analyses (MAs) mostly focused on some specific health outcomes or some specific air pollution.DesignThis evidence gap map (EGM) is to identify existing gaps from SRs and MAs and report them in broad topic areas.Data sourcesPubMed, Cochrane, Scopus and Web of Science were searched from their inception until June 2018. Citations and reference lists were traced.Eligibility criteriaSRs and MAs that investigated the impact of outdoor air pollution on human health outcomes were collected. This study excluded original articles and qualitative review articles.Data extraction and synthesisCharacteristics of the included SRs and MAs were extracted and summarised. Extracted data included authors, publication year, location of the corresponding author(s), publication journal discipline, study design, study duration, sample size, study region, target population, types of air pollution and health outcomes.ResultsAsia and North America published 93% of SRs and MAs included in this EGM. 31% of the SRs and MAs (27/86) included primary studies conducted in 5–10 countries. Their publication trends have increased during the last 10 years. A total of 2864 primary studies was included. The median number of included primary studies was 20 (range, 7–167). Cohort studies, case cross-over studies and time-series studies were the top three most used study designs. The mostly researched population was the group of all ages (46/86, 53%). Cardiovascular diseases, respiratory diseases and health service records were mostly reported. A lack of definite diagnostic criteria, unclear reporting of air pollution exposure and time period of primary studies were the main research gaps.ConclusionsThis EGM provided a visual overview of health outcomes affected by outdoor air pollution exposure. Future research should focus on chronic diseases, cancer and mental disorders.

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Respiratory Effects of Particulate Matter Exposure During Short-Term Cycling Among Healthy Adults in Three Chinese Cities

10.21203/rs.3.rs-134774/v1 ◽

2020 ◽

Author(s):

Lejian He ◽

Laijun Zhao ◽

Yonghong Liu ◽

Zhaowen Qiu ◽

H. Oliver Gao

Keyword(s):

Air Pollution ◽

Particulate Matter ◽

Lung Function ◽

Fine Particles ◽

Aerodynamic Diameter ◽

Short Term ◽

Respiratory Effects ◽

Air Pollution Exposure ◽

Pollution Exposure ◽

The Impact

Abstract Background: Cycling to work has been promoted as a green commute in many countries because of its reduced congestion relative to that of cars and its reduced environmental impact on air pollution. However, cyclists might be exposed to higher air pollution, causing adverse health effects. Few studies have examined the respiratory effects of traffic-related air pollution exposure during short-term cycling, especially in developing countries with heavy air pollution. The aim of this study was to assess the impact of air pollution exposure on lung function while cycling in traffic. Methods: Twenty-five healthy adults in total cycled on a specified route in each of three Chinese cities during four periods of a day. Lung function measures were collected immediately before and after cycling. Real-time particulate matter (PM) and the particle number count (PNC) for particles with different sizes were measured along each cycling route, while ambient sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) levels were measured at the nearest stations. Mixed-effect models were used to estimate the impact of short-term air pollution exposure on participants’ lung function measures during cycling. Results: We found that an interquartile increase in particulate matter consisting of fine particles (PM1, aerodynamic diameter £ 1 mm; and PM2.5, aerodynamic diameter £ 2.5 mm) was associated with a significant decrease in forced vital capacity (FVC) (PM1, –5.61%, p = 0.021; PM2.5, –5.57%, p = 0.022). Interquartile increases in the 99th percentile of PNC for fine particles (aerodynamic diameter 0.3–0.4 mm) also had significant negative associations with FVC (0.3 mm, –5.13%, p = 0.041; 0.35 mm, –4.81%, p = 0.045; 0.4 mm, –4.59%, p = 0.035). We also observed significant inverse relationships between ambient CO levels and FVC (–5.78%, p = 0.015).Conclusions: Our results suggest that short-term exposure to fine particles and CO while cycling in traffic contributes to a reduction in FVC of cyclists.

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