TY - JOUR
T1 - Multi-Level Socioenvironmental Contributors to Childhood Asthma in New York City
T2 - a Cluster Analysis
AU - Khan, Sana
AU - Bajwa, Sarah
AU - Brahmbhatt, Diksha
AU - Lovinsky-Desir, Stephanie
AU - Sheffield, Perry E.
AU - Stingone, Jeanette A.
AU - Li, Sheng
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - Childhood asthma exacerbation remains the leading cause of pediatric emergency department visits and hospitalizations and disproportionately affects Latinx and Black children, compared to non-Latinx White children in NYC. Environmental exposures and socioeconomic factors may jointly contribute to childhood asthma exacerbations; however, they are often studied separately. To better investigate the multiple contributors to disparities in childhood asthma, we compiled data on various individual and neighborhood level socioeconomic and environmental factors, including education, race/ethnicity, income disparities, gentrification, housing characteristics, built environment, and structural racism, from the NYC Department of Health’s KIDS 2017 survey and the US Census’ American Community Survey. We applied cluster analysis and logistic regression to first identify the predominant patterns of social and environmental factors experienced by children in NYC and then estimate whether children experiencing specific patterns are more likely to experience asthma exacerbations. We found that housing and built environment characteristics, such as density and age of buildings, were the predominant features to differentiate the socio-environmental patterns observed in New York City. Children living in neighborhoods with greater proportions of rental housing, high-density buildings, and older buildings were more likely to experience asthma exacerbations than other children. These findings add to the literature about childhood asthma in urban environments, and can assist efforts to target actionable policies and practices that promote health equity related to childhood asthma.
AB - Childhood asthma exacerbation remains the leading cause of pediatric emergency department visits and hospitalizations and disproportionately affects Latinx and Black children, compared to non-Latinx White children in NYC. Environmental exposures and socioeconomic factors may jointly contribute to childhood asthma exacerbations; however, they are often studied separately. To better investigate the multiple contributors to disparities in childhood asthma, we compiled data on various individual and neighborhood level socioeconomic and environmental factors, including education, race/ethnicity, income disparities, gentrification, housing characteristics, built environment, and structural racism, from the NYC Department of Health’s KIDS 2017 survey and the US Census’ American Community Survey. We applied cluster analysis and logistic regression to first identify the predominant patterns of social and environmental factors experienced by children in NYC and then estimate whether children experiencing specific patterns are more likely to experience asthma exacerbations. We found that housing and built environment characteristics, such as density and age of buildings, were the predominant features to differentiate the socio-environmental patterns observed in New York City. Children living in neighborhoods with greater proportions of rental housing, high-density buildings, and older buildings were more likely to experience asthma exacerbations than other children. These findings add to the literature about childhood asthma in urban environments, and can assist efforts to target actionable policies and practices that promote health equity related to childhood asthma.
KW - Asthma
KW - Cluster analysis
KW - Environmental health
KW - Health equity
UR - http://www.scopus.com/inward/record.url?scp=85119487357&partnerID=8YFLogxK
U2 - 10.1007/s11524-021-00582-7
DO - 10.1007/s11524-021-00582-7
M3 - Article
C2 - 34845655
AN - SCOPUS:85119487357
SN - 1099-3460
VL - 98
SP - 700
EP - 710
JO - Journal of Urban Health
JF - Journal of Urban Health
IS - 6
ER -