Article
Understanding the dynamics of asthma symptoms between childhood and adolescence using latent transition analysis
Registro en:
CAMPOS, Ana Clara P. et al. Understanding the dynamics of asthma symptoms between childhood and adolescence using latent transition analysis. International Journal of Public Health, v. 65, p. 957-967, 2020.
1661-8556
10.1007/s00038-020-01435-x
Autor
Campos, Ana Clara P.
Amorim, Leila Denise A. F.
Strina, Agostino
Barreto, Maurício Lima
Resumen
CNPq (Conselho Nacional de
Desenvolvimento Cientı´fico e Tecnolo´gico)/Brazil scholarship during
her doctorate. Leila D.A.F. Amorim was partially funded by FAPESB
(Fundac¸a˜o de Amparo a` Pesquisa do Estado da Bahia)/Brazil (Grant
No. RED005/2014). 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. 2023