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Longitudinal Study: LSAC
Title: Association of infant and child health characteristics with the hazard of any medical condition or disability in Australian children
Authors: Ahmad, Kabir
Keramat, Syed Afroz
Sathi, Nusrat Jahan
Kabir, Enamul
Khanam, Rasheda 
Publication Date: 23-Jun-2022
Pages: 1-11
Keywords: Medical condition
Hazard rate
Survival analysis
Body Mass Index
Intensive care
Abstract: Background The population-based classification of asthma severity is varied and needs further classification. This study identified clusters of asthma and related comorbidities of Australian children aged 12–13 years; determined health outcome differences among clusters; and investigated the associations between maternal asthma and other health conditions during pregnancy and the children’s clustered groups. Methods Participants were 1777 children in the birth cohort of the Longitudinal Study of Australian Children (LSAC) who participated in the Health CheckPoint survey and the LSAC 7th Wave. A latent class analysis (LCA) was conducted to identify clusters of children afflicted with eight diseases, such as asthma (ever diagnosed or current), wheezing, eczema, sleep problem/snoring/breathing problem, general health status, having any health condition and food allergy. Multinomial logistic regression was used to investigate the association between maternal asthma or other health conditions and LCA clusters. Results The study identified four clusters: (i) had asthma – currently healthy (11.0%), (ii) never asthmatic & healthy (64.9%), (iii) early-onset asthmatic or allergic (10.7%), and (iv) asthmatic unhealthy (13.4%). The asthmatic unhealthy cluster was in poor health in terms of health-related quality of life, general wellbeing and lung functions compared to other clusters. Children whose mothers had asthma during pregnancy were 3.31 times (OR 3.31, 95% CI: 2.06–5.30) more likely to be in the asthmatic unhealthy cluster than children whose mothers were non-asthmatic during pregnancy. Conclusion Using LCA analysis, this study improved a classification strategy for children with asthma and related morbidities to identify the most vulnerable groups within a population-based sample.
DOI: 10.1186/s13690-022-00913-3
ISBN: ISSN: 2049-3258
Keywords: Birthweight; Disability; Hazard rate; Intensive care unit; Medical condition; Obesity
Research collection: Journal Articles
Appears in Collections:Journal Articles

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