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Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort
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 associ...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555145/ https://www.ncbi.nlm.nih.gov/pubmed/34706695 http://dx.doi.org/10.1186/s12889-021-11997-x |
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author | Ahmad, Kabir Kabir, Enamul Ormsby, Gail M. Khanam, Rasheda |
author_facet | Ahmad, Kabir Kabir, Enamul Ormsby, Gail M. Khanam, Rasheda |
author_sort | Ahmad, Kabir |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8555145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85551452021-10-29 Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort Ahmad, Kabir Kabir, Enamul Ormsby, Gail M. Khanam, Rasheda BMC Public Health Research 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. BioMed Central 2021-10-27 /pmc/articles/PMC8555145/ /pubmed/34706695 http://dx.doi.org/10.1186/s12889-021-11997-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ahmad, Kabir Kabir, Enamul Ormsby, Gail M. Khanam, Rasheda Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort |
title | Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort |
title_full | Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort |
title_fullStr | Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort |
title_full_unstemmed | Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort |
title_short | Clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an Australian birth cohort |
title_sort | clustering of asthma and related comorbidities and their association with maternal health during pregnancy: evidence from an australian birth cohort |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555145/ https://www.ncbi.nlm.nih.gov/pubmed/34706695 http://dx.doi.org/10.1186/s12889-021-11997-x |
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