Dataset Information

Proximity to major roadways and asthma symptoms in the School Inner-City Asthma Study.

ABSTRACT:

Background

Traffic proximity has been associated with adverse respiratory health outcomes. Less is known about the combined impact of residential and school exposures on pediatric asthma.

Objective

We sought to use spatial analysis methodology to analyze residential and school proximity to major roadways and pediatric asthma morbidity.

Methods

The School Inner-City Asthma Study (n = 350) recruited school-aged children with asthma. Each participant's school and home addresses were geocoded, and distances from major roadways were measured to calculate a composite measure accounting for both home and school traffic exposure. Generalized estimating equation models were clustered by subject and adjusted for age, race/ethnicity, sex, income, environmental tobacco smoke, controller medication, upper respiratory tract infections, and seasonality.

Results

The majority of participants (62%) attended schools within 100 m from major roadways, and 40% also resided within 100 m of major roadways. In multivariate analyses major roadway proximity was independently associated with increased asthma symptom days. At greater than the threshold of 100 m, children had 29% less odds of a symptom day over the past 2 weeks for each 100-m increase in distance from a major roadway (odds ratio, 0.71; 95% CI, 0.58-0.87; P < .01). Children farther from a major roadway also had significantly less reported health care use (odds ratio, 0.63; 95% CI, 0.47-0.85; P < .01) and were significantly less likely to have poor asthma control (odds ratio, 0.80; 95% CI, 0.69-0.94; P < .01). There was not a meaningful association between distance to a major roadway and lung function outcomes.

Conclusions

Proximity to a major roadway, a composite measure of home and school exposure but primarily driven by home exposure, was associated with greater asthma morbidity. More studies are needed to evaluate the independent effect of school distance to a roadway on asthma morbidity.

SUBMITTER: Hauptman M

PROVIDER: S-EPMC6949366 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Proximity to major roadways and asthma symptoms in the School Inner-City Asthma Study.

Hauptman Marissa M Gaffin Jonathan M JM Petty Carter R CR Sheehan William J WJ Lai Peggy S PS Coull Brent B Gold Diane R DR Phipatanakul Wanda W

The Journal of allergy and clinical immunology 20190923 1

<h4>Background</h4>Traffic proximity has been associated with adverse respiratory health outcomes. Less is known about the combined impact of residential and school exposures on pediatric asthma.<h4>Objective</h4>We sought to use spatial analysis methodology to analyze residential and school proximity to major roadways and pediatric asthma morbidity.<h4>Methods</h4>The School Inner-City Asthma Study (n = 350) recruited school-aged children with asthma. Each participant's school and home addresse ...[more]

PMID: 31557500

Similar Datasets

Project description:SICAS 1 and SICAS 2 have extraordinary opportunity to evaluate the role of diet, environmental exposures and asthma in the context of school and home specific exposures and capitalize on all the data we are already collecting. Asthma affects 25 million Americans, particularly urban minority children. Children spend nearly all day in school, yet little is known about the role of a child’s exposure to widely disseminated industrial chemicals on asthma morbidity. Early animal models and population studies have begun to identify an association between phenolic chemical exposure and asthma development through proposed increased regulation of an individual’s allergic immune response. This study, nested within a school-based environmental intervention trial, (School Inner-City Asthma Intervention Study, SICAS2) , will enable urinary biomarker analyses during a school-based academic year-long environmental intervention trial to analyze the source and impact of exposures on urinary environmental exposure biomarker levels as well as the relationship between these biomarkers levels and asthma morbidity. We are poised to leverage the clinical and exposure data being collected in the clinical trial and generate cross-sectional urinary phenol biomarker data (at baseline) within the resources of CHEAR. If successful, our study will assess the impact of exposures on these biomarker levels and the impact that these exposures have on asthma morbidity, controlling comprehensively for other personal, home, and school environmental factors associated with asthma outcomes. We hypothesize that exposure to environmental exposures (e.g. phenols, phthalates, environmental tobacco smoke) in urban school children and higher urinary biomarkers will preliminarily be associated with higher asthma morbidity. Specific aims are: Aim 1. To determine the source of exposure to environmental exposures (e.g. phenols, phthalates, environmental tobacco smoke) in inner-city school children as assessed by questionnaire, product use assessment and comprehensive school and home environmental assessment of children with physician-diagnosed asthma. Aim 2. To determine whether urinary phenol/phathalate/cotinine biomarkers are associated with asthma control (e.g. asthma symptoms, such as asthma-related symptom days (primary outcome), and other phenotypes of asthma/allergic symptoms and inflammation such as allergic sensitization, health care utilization and pulmonary lung function

Dataset Information

Proximity to major roadways and asthma symptoms in the School Inner-City Asthma Study.

Background

Objective

Methods

Results

Conclusions

Publications

Proximity to major roadways and asthma symptoms in the School Inner-City Asthma Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets