Social deprivation and spatial clustering of childhood asthma in Australia

被引:2
作者
Khan, Jahidur Rahman [1 ]
Lingam, Raghu [1 ,2 ]
Owens, Louisa [1 ,2 ]
Chen, Katherine [3 ,4 ]
Shanthikumar, Shivanthan [3 ,4 ]
Oo, Steve [5 ]
Schultz, Andre [5 ,6 ]
Widger, John [7 ]
Bakar, K. Shuvo [8 ]
Jaffe, Adam [1 ,2 ]
Homaira, Nusrat [1 ,2 ,9 ]
机构
[1] Univ New South Wales, Sch Clin Med, Randwick, NSW 2031, Australia
[2] Sydney Childrens Hosp Network, Randwick, NSW, Australia
[3] Murdoch Childrens Res Inst, Melbourne, Vic, Australia
[4] Royal Childrens Hosp, Melbourne, Vic, Australia
[5] Perth Childrens Hosp, Perth, WA, Australia
[6] Univ Western Australia, Perth, WA, Australia
[7] Womens & Childrens Hosp, Adelaide, SA, Australia
[8] Univ Sydney, Sydney Sch Publ Hlth, Sydney, NSW, Australia
[9] BRAC Univ, James P Grant Sch Publ Hlth, Dhaka, Bangladesh
关键词
Childhood asthma; Spatial pattern; Social deprivation; LOW-INCOME; PREVALENCE; CHILDREN; ASSOCIATION; DISPARITIES; FAMILIES; BURDEN;
D O I
10.1186/s41256-024-00361-2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background 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.
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页数:10
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共 50 条
[1]  
ABS, 2017, Aboriginal and Torres Strait Islander Peoples: Smoking Trends, Australia
[2]   The Healthcare Cost Burden of Asthma in Children: A Longitudinal Population-Based Study [J].
Ahmad, Kabir ;
Khanam, Rasheda ;
Kabir, Enamul ;
Juerges, Hendrik .
VALUE IN HEALTH, 2023, 26 (08) :1201-1209
[3]  
[Anonymous], 2023, Aboriginal and Torres Strait Islander Health Performance Framework: Social and Emotional Wellbeing
[4]  
[Anonymous], 2020, Australia's Children
[5]  
[Anonymous], 2010, ABS. 4102.0-Australian Social Trends
[6]  
[Anonymous], 2011, Asthma in Australia 2011
[7]   LOCAL INDICATORS OF SPATIAL ASSOCIATION - LISA [J].
ANSELIN, L .
GEOGRAPHICAL ANALYSIS, 1995, 27 (02) :93-115
[8]   Global burden of asthma among children [J].
Asher, I. ;
Pearce, N. .
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, 2014, 18 (11) :1269-1278
[9]  
Australian Bureau of Statistics, 2022, COVID-19 and the 2021 Census
[10]  
Australian Bureau of Statistics, 2021, Statistical area level 2