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Asthma Trajectories in Early Childhood: Identifying Modifiable Factors
BACKGROUND: There are conflicting views as to whether childhood wheezing represents several discreet entities or a single but variable disease. Classification has centered on phenotypes often derived using subjective criteria, small samples, and/or with little data for young children. This is partic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224405/ https://www.ncbi.nlm.nih.gov/pubmed/25379671 http://dx.doi.org/10.1371/journal.pone.0111922 |
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author | Panico, Lidia Stuart, Beth Bartley, Mel Kelly, Yvonne |
author_facet | Panico, Lidia Stuart, Beth Bartley, Mel Kelly, Yvonne |
author_sort | Panico, Lidia |
collection | PubMed |
description | BACKGROUND: There are conflicting views as to whether childhood wheezing represents several discreet entities or a single but variable disease. Classification has centered on phenotypes often derived using subjective criteria, small samples, and/or with little data for young children. This is particularly problematic as asthmatic features appear to be entrenched by age 6/7. In this paper we aim to: identify longitudinal trajectories of wheeze and other atopic symptoms in early childhood; characterize the resulting trajectories by the socio-economic background of children; and identify potentially modifiable processes in infancy correlated with these trajectories. DATA AND METHODS: The Millennium Cohort Study is a large, representative birth cohort of British children born in 2000–2002. Our analytical sample includes 11,632 children with data on key variables (wheeze in the last year; ever hay-fever and/or eczema) reported by the main carers at age 3, 5 and 7 using a validated tool, the International Study of Asthma and Allergies in Childhood module. We employ longitudinal Latent Class Analysis, a clustering methodology which identifies classes underlying the observed population heterogeneity. RESULTS: Our model distinguished four latent trajectories: a trajectory with both low levels of wheeze and other atopic symptoms (54% of the sample); a trajectory with low levels of wheeze but high prevalence of other atopic symptoms (29%); a trajectory with high prevalence of both wheeze and other atopic symptoms (9%); and a trajectory with high levels of wheeze but low levels of other atopic symptoms (8%). These groups differed in terms of socio-economic markers and potential intervenable factors, including household damp and breastfeeding initiation. CONCLUSION: Using data-driven techniques, we derived four trajectories of asthmatic symptoms in early childhood in a large, population based sample. These groups differ in terms of their socio-economic profiles. We identified correlated intervenable pathways in infancy, including household damp and breastfeeding initiation. |
format | Online Article Text |
id | pubmed-4224405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42244052014-11-18 Asthma Trajectories in Early Childhood: Identifying Modifiable Factors Panico, Lidia Stuart, Beth Bartley, Mel Kelly, Yvonne PLoS One Research Article BACKGROUND: There are conflicting views as to whether childhood wheezing represents several discreet entities or a single but variable disease. Classification has centered on phenotypes often derived using subjective criteria, small samples, and/or with little data for young children. This is particularly problematic as asthmatic features appear to be entrenched by age 6/7. In this paper we aim to: identify longitudinal trajectories of wheeze and other atopic symptoms in early childhood; characterize the resulting trajectories by the socio-economic background of children; and identify potentially modifiable processes in infancy correlated with these trajectories. DATA AND METHODS: The Millennium Cohort Study is a large, representative birth cohort of British children born in 2000–2002. Our analytical sample includes 11,632 children with data on key variables (wheeze in the last year; ever hay-fever and/or eczema) reported by the main carers at age 3, 5 and 7 using a validated tool, the International Study of Asthma and Allergies in Childhood module. We employ longitudinal Latent Class Analysis, a clustering methodology which identifies classes underlying the observed population heterogeneity. RESULTS: Our model distinguished four latent trajectories: a trajectory with both low levels of wheeze and other atopic symptoms (54% of the sample); a trajectory with low levels of wheeze but high prevalence of other atopic symptoms (29%); a trajectory with high prevalence of both wheeze and other atopic symptoms (9%); and a trajectory with high levels of wheeze but low levels of other atopic symptoms (8%). These groups differed in terms of socio-economic markers and potential intervenable factors, including household damp and breastfeeding initiation. CONCLUSION: Using data-driven techniques, we derived four trajectories of asthmatic symptoms in early childhood in a large, population based sample. These groups differ in terms of their socio-economic profiles. We identified correlated intervenable pathways in infancy, including household damp and breastfeeding initiation. Public Library of Science 2014-11-07 /pmc/articles/PMC4224405/ /pubmed/25379671 http://dx.doi.org/10.1371/journal.pone.0111922 Text en © 2014 Panico et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Panico, Lidia Stuart, Beth Bartley, Mel Kelly, Yvonne Asthma Trajectories in Early Childhood: Identifying Modifiable Factors |
title | Asthma Trajectories in Early Childhood: Identifying Modifiable Factors |
title_full | Asthma Trajectories in Early Childhood: Identifying Modifiable Factors |
title_fullStr | Asthma Trajectories in Early Childhood: Identifying Modifiable Factors |
title_full_unstemmed | Asthma Trajectories in Early Childhood: Identifying Modifiable Factors |
title_short | Asthma Trajectories in Early Childhood: Identifying Modifiable Factors |
title_sort | asthma trajectories in early childhood: identifying modifiable factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224405/ https://www.ncbi.nlm.nih.gov/pubmed/25379671 http://dx.doi.org/10.1371/journal.pone.0111922 |
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