Literature DB >> 25617226

Neighborhood poverty, urban residence, race/ethnicity, and asthma: Rethinking the inner-city asthma epidemic.

Corinne A Keet1, Meredith C McCormack2, Craig E Pollack3, Roger D Peng4, Emily McGowan5, Elizabeth C Matsui6.   

Abstract

BACKGROUND: Although it is thought that inner-city areas have a high burden of asthma, the prevalence of asthma in inner cities across the United States is not known.
OBJECTIVE: We sought to estimate the prevalence of current asthma in US children living in inner-city and non-inner-city areas and to examine whether urban residence, poverty, or race/ethnicity are the main drivers of asthma disparities.
METHODS: The National Health Interview Survey 2009-2011 was linked by census tract to data from the US Census and the National Center for Health Statistics. Multivariate logistic regression models adjusted for sex; age; race/ethnicity; residence in an urban, suburban, medium metro, or small metro/rural area; poverty; and birth outside the United States, with current asthma and asthma morbidity as outcome variables. Inner-city areas were defined as urban areas with 20% or more of households at below the poverty line.
RESULTS: We included 23,065 children living in 5,853 census tracts. The prevalence of current asthma was 12.9% in inner-city and 10.6% in non-inner-city areas, but this difference was not significant after adjusting for race/ethnicity, region, age, and sex. In fully adjusted models black race, Puerto Rican ethnicity, and lower household income but not residence in poor or urban areas were independent risk factors for current asthma. Household poverty increased the risk of asthma among non-Hispanics and Puerto Ricans but not among other Hispanics. Associations with asthma morbidity were very similar to those with prevalent asthma.
CONCLUSIONS: Although the prevalence of asthma is high in some inner-city areas, this is largely explained by demographic factors and not by living in an urban neighborhood.
Copyright © 2014 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Inner-city asthma; childhood asthma; neighborhood; race/ethnicity; urban/rural

Mesh:

Year:  2015        PMID: 25617226      PMCID: PMC4391373          DOI: 10.1016/j.jaci.2014.11.022

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  40 in total

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Authors:  S BOOTH; I DEGROOT; R MARKUSH; R J HORTON
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2.  Heterogeneity of childhood asthma among Hispanic children: Puerto Rican children bear a disproportionate burden.

Authors:  Marielena Lara; Lara Akinbami; Glenn Flores; Hal Morgenstern
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Review 3.  Immigration to the United States and acculturation as risk factors for asthma and allergy.

Authors:  Diane R Gold; Dolores Acevedo-Garcia
Journal:  J Allergy Clin Immunol       Date:  2005-07       Impact factor: 10.793

4.  Durable effects of concentrated disadvantage on verbal ability among African-American children.

Authors:  Robert J Sampson; Patrick Sharkey; Stephen W Raudenbush
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-19       Impact factor: 11.205

5.  African ancestry is associated with risk of asthma and high total serum IgE in a population from the Caribbean Coast of Colombia.

Authors:  Candelaria Vergara; Luis Caraballo; Dilia Mercado; Silvia Jimenez; Winston Rojas; Nicholas Rafaels; Tracey Hand; Monica Campbell; Yuhjung J Tsai; Li Gao; Constanza Duque; Sergio Lopez; Gabriel Bedoya; Andrés Ruiz-Linares; Kathleen C Barnes
Journal:  Hum Genet       Date:  2009-03-17       Impact factor: 4.132

6.  Prevalence of asthma and asthma-like symptoms in inner-city schoolchildren.

Authors:  Mosanda Mvula; Michele Larzelere; Marjorie Kraus; Kathleen Moisiewicz; Connie Morgan; Stephanie Pierce; Robert Post; Theresa Nash; Cleveland Moore
Journal:  J Asthma       Date:  2005-02       Impact factor: 2.515

Review 7.  Asthma in the inner city: the perspective of the National Institute of Allergy and Infectious Diseases.

Authors:  Alkis Togias; Matthew J Fenton; Peter J Gergen; Daniel Rotrosen; Anthony S Fauci
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Review 8.  The National Institutes of Allergy and Infectious Diseases networks on asthma in inner-city children: an approach to improved care.

Authors:  William W Busse
Journal:  J Allergy Clin Immunol       Date:  2010-03       Impact factor: 10.793

9.  An estimate of the prevalence of asthma and wheezing among inner-city children.

Authors:  E F Crain; K B Weiss; P E Bijur; M Hersh; L Westbrook; R E Stein
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Review 10.  Geographic variability in childhood asthma prevalence in Chicago.

Authors:  Ruchi S Gupta; Xingyou Zhang; Lisa K Sharp; John J Shannon; Kevin B Weiss
Journal:  J Allergy Clin Immunol       Date:  2008-02-04       Impact factor: 10.793

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  67 in total

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Authors:  Stanley J Szefler
Journal:  Allergy Asthma Proc       Date:  2016 Jan-Feb       Impact factor: 2.587

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4.  Step-Up Therapy in Black Children and Adults with Poorly Controlled Asthma.

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5.  Smokers who have children with asthma: Perceptions about child secondhand smoke exposure and tobacco use initiation and parental willingness to participate in child-focused tobacco interventions.

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6.  The Child Opportunity Index and Disparities in Pediatric Asthma Hospitalizations Across One Ohio Metropolitan Area, 2011-2013.

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Journal:  J Pediatr       Date:  2017-11       Impact factor: 4.406

Review 7.  Managing Asthma in Low-Income, Underrepresented Minority, and Other Disadvantaged Pediatric Populations: Closing the Gap.

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8.  Long-term pulmonary complications in perinatally HIV-infected youth.

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Review 9.  Neighborhood-Level Factors Related to Asthma in Children Living in Urban Areas.

Authors:  Kelli DePriest; Arlene Butz
Journal:  J Sch Nurs       Date:  2016-10-22       Impact factor: 2.835

10.  The joint effect of ambient air pollution and agricultural pesticide exposures on lung function among children with asthma.

Authors:  Wande Benka-Coker; Lauren Hoskovec; Rachel Severson; John Balmes; Ander Wilson; Sheryl Magzamen
Journal:  Environ Res       Date:  2020-07-18       Impact factor: 6.498

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