Sheryl Magzamen1, Ira B Tager. 1. Division of Epidemiology, School of Public Health, University of California, Berkeley, California, USA. slm1@uw.edu
Abstract
PURPOSE: We report the results of a school-based asthma case-identification survey to determine the prevalence and predictors of possible undiagnosed asthma in a population of urban adolescents. METHODS: During school years 2006-2008, middle school students in Oakland, California, completed a brief survey adapted from the International Study of Asthma and Allergy in Children. Students were classified into one of three categories: no asthma, current asthma, or possible undiagnosed asthma. Students reported demographic information and residential address, which was geocoded and matched tract-level data from the US Census 2000, Oakland land use designations, public and assisted housing locations, and distance from closed-access roadways. Logistic regression was used to examine factors associated with possible undiagnosed asthma. RESULTS: Of the 4,017 students who completed the survey, 4.8% (95% confidence interval [CI]: 4.1, 5.5) were classified as possible undiagnosed asthma. Female students (odds ratio: 1.53, 95% CI: 1.07, 2.19) and students who resided in an urban residential area (odds ratio: 2.05, 95% CI: 1.05, 4.05) had significantly increased odds of classification as "possible undiagnosed asthma" compared to current asthma. Percentage of noncitizen recent immigrants in a census tract was related to increased odds of possible undiagnosed asthma. Residence in a census tract with older residential units was significantly associated with decreased odds of undiagnosed asthma. CONCLUSIONS: In urban settings, school-based asthma surveillance can aid in the identification of children with possible undiagnosed asthma. Implementation of a geographic information systems framework can enhance the identification of demographic and physical environmental factors associated with possible undiagnosed asthma. Copyright 2010 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
PURPOSE: We report the results of a school-based asthma case-identification survey to determine the prevalence and predictors of possible undiagnosed asthma in a population of urban adolescents. METHODS: During school years 2006-2008, middle school students in Oakland, California, completed a brief survey adapted from the International Study of Asthma and Allergy in Children. Students were classified into one of three categories: no asthma, current asthma, or possible undiagnosed asthma. Students reported demographic information and residential address, which was geocoded and matched tract-level data from the US Census 2000, Oakland land use designations, public and assisted housing locations, and distance from closed-access roadways. Logistic regression was used to examine factors associated with possible undiagnosed asthma. RESULTS: Of the 4,017 students who completed the survey, 4.8% (95% confidence interval [CI]: 4.1, 5.5) were classified as possible undiagnosed asthma. Female students (odds ratio: 1.53, 95% CI: 1.07, 2.19) and students who resided in an urban residential area (odds ratio: 2.05, 95% CI: 1.05, 4.05) had significantly increased odds of classification as "possible undiagnosed asthma" compared to current asthma. Percentage of noncitizen recent immigrants in a census tract was related to increased odds of possible undiagnosed asthma. Residence in a census tract with older residential units was significantly associated with decreased odds of undiagnosed asthma. CONCLUSIONS: In urban settings, school-based asthma surveillance can aid in the identification of children with possible undiagnosed asthma. Implementation of a geographic information systems framework can enhance the identification of demographic and physical environmental factors associated with possible undiagnosed asthma. Copyright 2010 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
Authors: Dennis R Ownby; Martha S Tingen; Suzanne Havstad; Jennifer L Waller; Christine C Johnson; Christine L M Joseph Journal: J Allergy Clin Immunol Date: 2015-03-29 Impact factor: 10.793
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