Comprehensive Neighborhood Portraits and Child Asthma Disparities.
Objectives Previous research has established links between child, family, and neighborhood disadvantages and child asthma. We add to this literature by first characterizing neighborhoods in Houston, TX by demographic, economic, and air quality characteristics to establish differences in pediatric as...
| Publicado en: | Maternal & Child Health Journal Vol. 21; no. 7; pp. 1552 - 1563 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123904950&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123904950 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10927875 N9J jtl: Maternal & Child Health Journal issn: 10927875 maglogo: N pubinfo: dt: Jul2017 vid: 21 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 123904950 123904950 143938378 123904950 10.1007/s10995-017-2286-z 123904950 ppf: 1552 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Comprehensive Neighborhood Portraits and Child Asthma Disparities. aug: au: Kranjac, Ashley Kimbro, Rachel Denney, Justin Osiecki, Kristin Moffett, Brady Lopez, Keila affil: Department of Sociology, Kinder Institute Urban Health Program , Rice University , 6500 Main Street #1020 Houston 77030 USA sug: subj: Asthma Diagnosis Residence Characteristics Asthma Risk Factors Healthcare Disparities In Infancy and Childhood Human Electronic Health Records Texas Environment Socioeconomic Factors Social Class Child, Preschool Child Probability Logistic Regression Female Male Cross Sectional Studies Race Factors Child, Preschool: 2-5 years Child: 6-12 years Female Male ab: Objectives Previous research has established links between child, family, and neighborhood disadvantages and child asthma. We add to this literature by first characterizing neighborhoods in Houston, TX by demographic, economic, and air quality characteristics to establish differences in pediatric asthma diagnoses across neighborhoods. Second, we identify the relative risk of social, economic, and environmental risk factors for child asthma diagnoses. Methods We geocoded and linked electronic pediatric medical records to neighborhood-level social and economic indicators. Using latent profile modeling techniques, we identified Advantaged, Middle-class, and Disadvantaged neighborhoods. We then used a modified version of the Blinder-Oaxaca regression decomposition method to examine differences in asthma diagnoses across children in these different neighborhoods. Results Both compositional (the characteristics of the children and the ambient air quality in the neighborhood) and associational (the relationship between child and air quality characteristics and asthma) differences within the distinctive neighborhood contexts influence asthma outcomes. For example, unequal exposure to PM and O among children in Disadvantaged and Middle-class neighborhoods contribute to asthma diagnosis disparities within these contexts. For children in Disadvantaged and Advantaged neighborhoods, associational differences between racial/ethnic and socioeconomic characteristics and asthma diagnoses explain a significant proportion of the gap. Conclusions for Practice Our results provide evidence that differential exposure to pollution and protective factors associated with non-Hispanic White children and children from affluent families contribute to asthma disparities between neighborhoods. Future researchers should consider social and racial inequalities as more proximate drivers, not merely as associated, with asthma disparities in children. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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