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Full-Text Articles in Medicine and Health

Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation, Ashley W. Kranjac, Zeev N. Kain, Louis Ehwerhemuepha, Michael Weiss, Brooke N. Jenkins Jul 2024

Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation, Ashley W. Kranjac, Zeev N. Kain, Louis Ehwerhemuepha, Michael Weiss, Brooke N. Jenkins

Sociology Faculty Articles and Research

Causes of asthma exacerbation in children have been studied extensively at the individual level, but contributions of neighborhood-level factors are less explored. We test which distinctive residential characteristics produce variation in uncontrolled asthma among pediatric patients. We extracted electronic medical record data from pediatric patients living in Southern California and used multilevel modeling techniques to isolate which neighborhood characteristics drive inequitable asthma control. Above and beyond the individual-level factors known to predict inadequate disease control, neighborhoods with greater concentration of non-Hispanic black residents (odds ratios [OR] = 1.02; 95% confidence interval [CI]: 0.99-1.03; P < .05), higher proportions of female-headed households (OR = 1.01; 95% CI: 0.99-1.01; P < .05), and higher levels of ambient air pollution (OR = 1.05; 95% CI: 1.01-1.10; P < .001) associate with greater odds of asthma exacerbation. The interplay between community characteristics and asthma management during childhood is complex, and place-based initiatives are needed to narrow the gap in asthma exacerbation.


Child Obesity And The Interaction Of Family And Neighborhood Socioeconomic Context, Ashley W. Kranjac, Justin T. Denney, Rachel T. Kimbro, Brady S. Moffett, Keila N. Lopez Dec 2018

Child Obesity And The Interaction Of Family And Neighborhood Socioeconomic Context, Ashley W. Kranjac, Justin T. Denney, Rachel T. Kimbro, Brady S. Moffett, Keila N. Lopez

Sociology Faculty Articles and Research

The literature on neighborhoods and child obesity links contextual conditions to risk, assuming that if place matters, it matters in a similar way for everyone in those places. We explore the extent to which distinctive neighborhood types give rise to social patterning that produces variation in the odds of child obesity. We leverage geocoded electronic medical records for a diverse sample of over 135,000 children aged 2 to 12 and latent profile modeling to characterize places into distinctive neighborhood contexts. Multilevel models with cross-level interactions between neighborhood type and family socioeconomic standing (SES) reveal that children with different SES, but …