2022
DOI: 10.1111/pai.13784
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The influence of urban exposures and residence on childhood asthma

Abstract: Children with asthma who live in urban neighborhoods experience a disproportionately high asthma burden, with increased incident asthma and increased asthma symptoms, exacerbations, and acute visits and hospitalizations for asthma. There are multiple urban exposures that contribute to pediatric asthma morbidity, including exposure to pest allergens, mold, endotoxin, and indoor and outdoor air pollution. Children living in urban neighborhoods also experience inequities in social determinants of health, such as … Show more

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Cited by 44 publications
(27 citation statements)
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“…Fourth, family medical history and environmental factors may increase children’s asthma risk. For example, a family history of allergic diseases, pets in the family home, and/or living in an urban or rural area are all potential influencing factors [ 44 , 45 , 46 ]. Researchers should consider such factors in future analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Fourth, family medical history and environmental factors may increase children’s asthma risk. For example, a family history of allergic diseases, pets in the family home, and/or living in an urban or rural area are all potential influencing factors [ 44 , 45 , 46 ]. Researchers should consider such factors in future analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Children living in inner-cities encounter high mold exposure at home and in schools [4,14]. Prior studies have demonstrated that mold sensitization was more common in patients with severe asthma, poor symptom control, and more frequent exacerbations.…”
Section: Indoor Exposuresmentioning
confidence: 99%
“…Ambient environmental exposures also differentially affect asthmatic children in low-income, urban environments, primarily due to air pollution in the form of nitrogen dioxide (NO 2 ) and particulate matter generated by traffic or industrial processes [19,23,27,28]. Anenberg et al [29] utilized land use regression models to estimate incident asthma globally in 2019 by scaling exposure models based on over 5000 NO 2 monitors in 58 countries.…”
Section: Outdoor Exposuresmentioning
confidence: 99%