Social deprivation and spatial clustering of childhood asthma in Australia

bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorKhan, Jahidur Rahman
dc.contributor.authorLingam, Raghu
dc.contributor.authorOwens, Louisa
dc.contributor.authorChen, Katherine
dc.contributor.authorShanthikumar, Shivanthan
dc.contributor.authorOo, Steve
dc.contributor.authorSchultz, Andre
dc.contributor.authorWidger, John
dc.contributor.authorBakar, K. Shuvo
dc.contributor.authorJaffe, Adam
dc.contributor.authorHomaira, Nusrat
dc.contributor.departmentBRAC James P Grant School of Public Health
dc.date.accessioned2026-07-19T03:54:48Z
dc.date.available2026-07-19T03:54:48Z
dc.date.issued12/1/2024
dc.description.abstractBackground: Asthma is the most common chronic respiratory illness among children in Australia. While childhood asthma prevalence varies by region, little is known about variations at the small geographic area level. Identifying small geographic area variations in asthma is critical for highlighting hotspots for targeted interventions. This study aimed to investigate small area-level variation, spatial clustering, and sociodemographic risk factors associated with childhood asthma prevalence in Australia. Methods: Data on self-reported (by parent/carer) asthma prevalence in children aged 0–14 years at statistical area level 2 (SA2, small geographic area) and selected sociodemographic features were extracted from the national Australian Household and Population Census 2021. A spatial cluster analysis was used to detect hotspots (i.e., areas and their neighbours with higher asthma prevalence than the entire study area average) of asthma prevalence. We also used a spatial Bayesian Poisson model to examine the relationship between sociodemographic features and asthma prevalence. All analyses were performed at the SA2 level. Results: Data were analysed from 4,621,716 children aged 0–14 years from 2,321 SA2s across the whole country. Overall, children’s asthma prevalence was 6.27%, ranging from 0 to 16.5%, with significant hotspots of asthma prevalence in areas of greater socioeconomic disadvantage. Socioeconomically disadvantaged areas had significantly higher asthma prevalence than advantaged areas (prevalence ratio [PR] = 1.10, 95% credible interval [CrI] 1.06–1.14). Higher asthma prevalence was observed in areas with a higher proportion of Indigenous individuals (PR = 1.13, 95% CrI 1.10–1.17). Conclusions: We identified significant geographic variation in asthma prevalence and sociodemographic predictors associated with the variation, which may help in designing targeted asthma management strategies and considerations for service enhancement for children in socially deprived areas. © The Author(s) 2024.
dc.description.versionPublished
dc.format.extent10 pages
dc.identifier.citationKhan, J.R., Lingam, R., Owens, L. et al. Social deprivation and spatial clustering of childhood asthma in Australia. glob health res policy 9, 22 (2024). https://doi.org/10.1186/s41256-024-00361-2
dc.identifier.doi10.1186/s41256-024-00361-2
dc.identifier.issn23970642
dc.identifier.other2-s2.0-85196764070
dc.identifier.urihttps://hdl.handle.net/10361/28585
dc.language.isoen_US
dc.publisherBioMed Central Ltd
dc.relation.hasversion10.1186/s41256-024-00361-2
dc.relation.ispartofGlobal Health Research and Policy
dc.relation.ispartofseriesGlobal Health Research and Policy
dc.relation.journalGlobal Health Research and Policy
dc.relation.urihttps://link.springer.com/article/10.1186/s41256-024-00361-2?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=scopus
dc.rightsTRUE
dc.subjectChildhood asthma
dc.subjectSocial deprivation
dc.subjectSpatial pattern
dc.subject.lcshAsthma in children.
dc.subject.lcshHealth status indicators--Australia.
dc.titleSocial deprivation and spatial clustering of childhood asthma in Australia
dc.typeArticle
oaire.citation.issue1
oaire.citation.volume9
person.affiliation.nameUNSW Sydney
person.affiliation.nameUNSW Sydney
person.affiliation.nameUNSW Sydney
person.affiliation.nameMurdoch Children's Research Institute
person.affiliation.nameMurdoch Children's Research Institute
person.affiliation.namePerth Children's Hospital
person.affiliation.namePerth Children's Hospital
person.affiliation.nameWomen's and Children's Hospital Adelaide
person.affiliation.nameThe University of Sydney School of Public Health
person.affiliation.nameUNSW Sydney
person.affiliation.nameUNSW Sydney
person.identifier.scopus-author-id57205631508
person.identifier.scopus-author-id6701750970
person.identifier.scopus-author-id57000010600
person.identifier.scopus-author-id57189065152
person.identifier.scopus-author-id36087968400
person.identifier.scopus-author-id58444485200
person.identifier.scopus-author-id21743447200
person.identifier.scopus-author-id35390391400
person.identifier.scopus-author-id36611379500
person.identifier.scopus-author-id36796177900
person.identifier.scopus-author-id30067671700

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