Reported Neighborhood Traffic and the Odds of Asthma/Asthma-Like Symptoms: A Cross-Sectional Analysis of a Multi-Racial Cohort of Children
Sarah Commodore,
Pamela L. Ferguson,
Brian Neelon,
Roger Newman,
William Grobman,
Alan Tita,
John Pearce,
Michael S. Bloom,
Erik Svendsen,
James Roberts,
Daniel Skupski,
Anthony Sciscione,
Kristy Palomares,
Rachel Miller,
Ronald Wapner,
John E. Vena and
Kelly J. Hunt
Additional contact information
Sarah Commodore: Department of Environmental and Occupational Health, Indiana University, Bloomington, IN 47405, USA
Pamela L. Ferguson: Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
Brian Neelon: Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
Roger Newman: Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC 29425, USA
William Grobman: Department of Obstetrics and Gynecology, Northwestern University, Chicago, IL 60611, USA
Alan Tita: Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
John Pearce: Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
Michael S. Bloom: Department of Global and Community Health, George Mason University, Fairfax, VA 22030, USA
Erik Svendsen: Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
James Roberts: Department of Pediatrics, Medical University of South Carolina, Charleston, SC 29425, USA
Daniel Skupski: Department of Obstetrics and Gynecology, New York-Presbyterian Queens Hospital, Queens, NY 11365, USA
Anthony Sciscione: Department of Obstetrics and Gynecology, Christiana Care Health System, Wilmington, DE 19899, USA
Kristy Palomares: Department of Obstetrics and Gynecology, Saint Peter’s University Hospital, New Brunswick, NJ 08901, USA
Rachel Miller: Department of Medicine, Division of Clinical Immunology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
Ronald Wapner: Columbia University Irving Medical Center, Department of Obstetrics and Gynecology, Columbia University, New York, NY 10032, USA
John E. Vena: Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
Kelly J. Hunt: Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
IJERPH, 2020, vol. 18, issue 1, 1-25
Abstract:
Asthma in children poses a significant clinical and public health burden. We examined the association between reported neighborhood traffic (a proxy for traffic-related air pollution) and asthma among 855 multi-racial children aged 4–8 years old who participated in the Environmental Influences on Child Health Outcomes (ECHO) cohort. We hypothesized that high neighborhood traffic density would be associated with the prevalence of asthma. Asthma/asthma-like symptoms (defined as current and/or past physician diagnosed asthma, past wheezing, or nighttime cough or wheezing in the past 12 months) was assessed by parental report. The relationship between neighborhood traffic and asthma/asthma-like symptoms was assessed using logistic regression. The prevalence of asthma/asthma-like symptoms among study participants was 23%, and 15% had high neighborhood traffic. Children with significant neighborhood traffic had a higher odds of having asthma/asthma-like symptoms than children without neighborhood traffic [adjusted OR = 2.01 (95% CI: 1.12, 3.62)] after controlling for child’s race-ethnicity, age, sex, maternal education, family history of asthma, play equipment in the home environment, public parks, obesity and prescribed asthma medication. Further characterization of neighborhood traffic is needed since many children live near high traffic zones and significant racial/ethnic disparities exist.
Keywords: air pollution exposure; asthma; racial/ethnic disparities; neighborhood traffic; cohort (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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