A health inequality analysis of childhood asthma prevalence in urban Australia

• Published in: Journal of allergy and clinical immunology 2024-08, Vol.154 (2), p.285-296
• Main Authors: Cameron, Ewan, Mo, Joyce, Yu, Charles
• Format: Article
• Language: English
• Subjects: Adolescent; Air Pollution - adverse effects; Asthma; Asthma - epidemiology; Australia - epidemiology; Bayes Theorem; Bayesian statistics; Child; Child, Preschool; Cities - epidemiology; COVID-19 - epidemiology; Female; health inequalities; Health Status Disparities; Humans; Male; Prevalence; SARS-CoV-2; Social Class; Socioeconomic Factors; Urban Population
• ISSN: 0091-6749; 1097-6825; 1097-6825
• DOI: 10.1016/j.jaci.2024.01.023

Long-standing health inequalities in Australian society that were exposed by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic were described as “fault lines” in a recent call to action by a consortium of philanthropic organizations. With asthma a major contributor to childhood disease burden, studies of its spatial epidemiology can provide valuable insights into the emergence of health inequalities early in life. The aims of this study were to characterize the spatial variation of asthma prevalence among children living within Australia’s 4 largest cities and quantify the relative contributions of climatic and environmental factors, outdoor air pollution, and socioeconomic status in determining this variation. A Bayesian model with spatial smoothing was developed to regress ecologic health status data from the 2021 Australian Census against groups of explanatory covariates intended to represent mechanistic pathways. The prevalence of asthma in children aged 5 to 14 years averages 7.9%, 8.2%, 8.5%, and 7.6% in Sydney, Melbourne, Brisbane, and Perth, respectively. This small inter-city variation contrasts against marked intracity variation at the small-area level, which ranges from 6% to 12% between the least and most affected locations in each. Statistical variance decomposition on a subsample of Australian-born, nonindigenous children attributes 66% of the intracity spatial variation to the assembled covariates. Of these covariates, climatic and environmental factors contribute 30%, outdoor air pollution contributes 19%, and areal socioeconomic status contributes the remaining 51%. Geographic health inequalities in the prevalence of childhood asthma within Australia’s largest cities reflect a complex interplay of factors, among which socioeconomic status is a principal determinant.