Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation
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 el...
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| Veröffentlicht in: | Clinical pediatrics 2025-03, Vol.64 (3), p.310-318 |
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| creator | Kranjac, Ashley W. Kain, Zeev N. Ehwerhemuepha, Louis Weiss, Michael Jenkins, Brooke N. |
| description | 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. |
| doi_str_mv | 10.1177/00099228241262997 |
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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.</description><identifier>ISSN: 0009-9228</identifier><identifier>ISSN: 1938-2707</identifier><identifier>EISSN: 1938-2707</identifier><identifier>DOI: 10.1177/00099228241262997</identifier><identifier>PMID: 39044420</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adolescent ; Air pollution ; Asthma ; Asthma - epidemiology ; California - epidemiology ; Child ; Child, Preschool ; Children ; Disease control ; Disease Progression ; Electronic medical records ; Female ; Humans ; Male ; Neighborhood Characteristics ; Neighborhoods ; Patients ; Pediatrics ; Residence Characteristics - statistics & numerical data ; Socioeconomic Factors</subject><ispartof>Clinical pediatrics, 2025-03, Vol.64 (3), p.310-318</ispartof><rights>The Author(s) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c320t-bb8c93ea88beecbe57468ec96278f58ab8a1616494173705d9db04e8f5f898b33</cites><orcidid>0000-0001-9829-4550 ; 0000-0003-1369-7954 ; 0000-0002-6580-8532</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/00099228241262997$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/00099228241262997$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39044420$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kranjac, Ashley W.</creatorcontrib><creatorcontrib>Kain, Zeev N.</creatorcontrib><creatorcontrib>Ehwerhemuepha, Louis</creatorcontrib><creatorcontrib>Weiss, Michael</creatorcontrib><creatorcontrib>Jenkins, Brooke N.</creatorcontrib><title>Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation</title><title>Clinical pediatrics</title><addtitle>Clin Pediatr (Phila)</addtitle><description>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.</description><subject>Adolescent</subject><subject>Air pollution</subject><subject>Asthma</subject><subject>Asthma - epidemiology</subject><subject>California - epidemiology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Disease control</subject><subject>Disease Progression</subject><subject>Electronic medical records</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Neighborhood Characteristics</subject><subject>Neighborhoods</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Socioeconomic Factors</subject><issn>0009-9228</issn><issn>1938-2707</issn><issn>1938-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE9LAzEUxIMotlY_gBdZ8OJla_7tJjlKqVooWlDPS5J9bbd0NzXZhfrtTWlVUDzNYX4z7zEIXRI8JESIW4yxUpRKygnNqVLiCPWJYjKlAotj1N_56Q7oobMQVhgThjN2inpMYc45xX00eYJqsTTOL50rkxdnKwfWNa6ubDJyTQvbNpl5KCvbhmQWVbc-WnehXdY6GW-1BW90W7nmHJ3M9TrAxUEH6O1-_Dp6TKfPD5PR3TS1jOI2NUZaxUBLaQCsgUzwXIJVORVynkltpCY5ybniRDCBs1KVBnOI3lwqaRgboJt978a79w5CW9RVsLBe6wZcFwqGJcdUMUYiev0LXbnON_G7gpE8F1JljEeK7CnrXQge5sXGV7X2HwXBxW7n4s_OMXN1aO5MDeV34mvYCAz3QNAL-Dn7f-MnPhqEOg</recordid><startdate>202503</startdate><enddate>202503</enddate><creator>Kranjac, Ashley W.</creator><creator>Kain, Zeev N.</creator><creator>Ehwerhemuepha, Louis</creator><creator>Weiss, Michael</creator><creator>Jenkins, Brooke N.</creator><general>SAGE Publications</general><general>Westminster Publications, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7QR</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9829-4550</orcidid><orcidid>https://orcid.org/0000-0003-1369-7954</orcidid><orcidid>https://orcid.org/0000-0002-6580-8532</orcidid></search><sort><creationdate>202503</creationdate><title>Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation</title><author>Kranjac, Ashley W. ; 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| source | MEDLINE; SAGE Journals |
| subjects | Adolescent Air pollution Asthma Asthma - epidemiology California - epidemiology Child Child, Preschool Children Disease control Disease Progression Electronic medical records Female Humans Male Neighborhood Characteristics Neighborhoods Patients Pediatrics Residence Characteristics - statistics & numerical data Socioeconomic Factors |
| title | Neighborhood Socioeconomic Context Predicts Pediatric Asthma Exacerbation |
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