Modelling maternal and perinatal risk factors to predict poorly controlled childhood asthma.
Asthma is the most common non-communicable pulmonary condition, affecting prepubertal boys more often than girls. This study explored how maternal and perinatal risk factors are linked to poorly controlled childhood asthma in a sex dependent manner. This single centre study was performed at a metrop...
Guardado en:
Autores principales: | Samuel Schäfer, Kevin Wang, Felicia Sundling, Jean Yang, Anthony Liu, Ralph Nanan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f29b80987b2f416087162ba52e038c37 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine Learning for Predicting the Risk for Childhood Asthma Using Prenatal, Perinatal, Postnatal and Environmental Factors
por: Zineb Jeddi, et al.
Publicado: (2021) -
Maturation of the gut microbiome and risk of asthma in childhood
por: Jakob Stokholm, et al.
Publicado: (2018) -
The challenge of addressing obesity in people with poorly controlled asthma
por: Anne E. Dixon, et al.
Publicado: (2021) -
Childhood Asthma – The Effect of Asthma Specialist Intervention on Asthma Control: A Retrospective Review
por: Rosman Y, et al.
Publicado: (2021) -
Risk factors for poor outcome in childhood tuberculous meningitis
por: Mao-Shui Wang, et al.
Publicado: (2021)