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...

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Main Authors: Panico, Lidia (Author), Stuart, Beth (Author), Bartley, Mel (Author), Kelly, Yvonne (Author)
Format: Article
Language:English
Published: 2014-11-07.
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Online Access:Get fulltext
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001 371963
042 |a dc 
100 1 0 |a Panico, Lidia  |e author 
700 1 0 |a Stuart, Beth  |e author 
700 1 0 |a Bartley, Mel  |e author 
700 1 0 |a Kelly, Yvonne  |e author 
245 0 0 |a Asthma trajectories in early childhood: identifying modifiable factors 
260 |c 2014-11-07. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/371963/1/fetchObject.action_uri%253Dinfo_doi%25252F10.1371%25252Fjournal.pone.0111922%2526representation%253DPDF 
520 |a 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.  
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655 7 |a Article