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https://www.arca.fiocruz.br/handle/icict/46105
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ArticleCopyright
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Embargo date
2023
Sustainable Development Goals
11 Cidades e comunidades sustentáveisCollections
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UNDERSTANDING THE DYNAMICS OF ASTHMA SYMPTOMS BETWEEN CHILDHOOD AND ADOLESCENCE USING LATENT TRANSITION ANALYSIS
Affilliation
Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.
Universidade Federal da Bahia. Instituto de Matemática e Estatística. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.
Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.
Universidade Federal da Bahia. Instituto de Matemática e Estatística. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.
Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.
Abstract
Objectives Asthma patterns in childhood are important predictors of unwanted outcomes in adolescence. We aimed to
define asthma phenotypes in childhood and adolescence and evaluate the transitions between these phenotypes and factors
potentially associated with the transitions.
Methods Baseline (1445 children), first round (1363 children/early adolescents) and second round (1206 adolescents) data
from the SCAALA Project in Salvador, Brazil, were used. Phenotypes were defined by latent class analysis at three time
points. Transitions between phenotypes were described and the effects of factors associated with transition probabilities
estimated using latent transition analysis.
Results The ‘‘asymptomatic’’ and ‘‘symptomatic’’ phenotypes were identified. Approximately 5–6% of asymptomatic
children in childhood/later childhood and early adolescence became symptomatic later in time. Maternal common mental
disorders were identified as important risk factor for unhealthy states.
Conclusions Asthma manifestations are characterized by frequent movements, especially between childhood and adolescence.
Our study, by simultaneously defining disease subtypes, and examining the transitions and their potential predictors,
highlights the importance of longitudinal studies to advance the understanding of the effects of social, environmental and
biological mechanisms underlying asthma trajectories over time.
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