scholarly journals Examining the role of pre‐pregnancy weight and gestational weight gain in allergic disease development among offspring: A population‐based cohort study in Ontario, Canada

Author(s):  
Sebastian A. Srugo ◽  
Deshayne B. Fell ◽  
Daniel J. Corsi ◽  
Romina Fakhraei ◽  
Yanfang Guo ◽  
...  
2021 ◽  
Vol 5 (1) ◽  
pp. e000893
Author(s):  
Sebastian A Srugo ◽  
Laura Gaudet ◽  
Daniel Corsi ◽  
Romina Fakhraei ◽  
Yanfang Guo ◽  
...  

IntroductionOver the last 20 years, excess maternal pre-pregnancy weight (overweight and obesity) and gestational weight gain have become the most common morbidities in pregnancy. These morbidities may pose a threat to fetal immunological development through associated metabolic dysfunction and inflammation and, as such, may partly explain the concurrent rise of paediatric allergic disease. We will examine the effect of maternal pre-pregnancy weight and gestational weight gain during pregnancy on the incidence of allergic diseases among offspring in Canada’s most populous province.Methods and analysisWe will conduct a retrospective, population-based cohort study of all singleton live births to residents of Ontario, Canada in 2012–2013 and 2013–2014. The study population will be defined using maternal-newborn records from the provincial birth registry, which captures information on maternal pre-pregnancy weight and gestational weight gain. The cohort will be linked with provincial health administrative databases, allowing for follow-up of neonates through early childhood until 2019 (5–7 years of age). Allergic disease development (asthma, rhinitis, atopic dermatitis and anaphylaxis) will be ascertained using diagnostic codes from healthcare encounters. Potential confounders have been identified a priori through a directed acyclic graph. Cox proportional hazards regression models will be employed to assess the associations between maternal pre-pregnancy weight, gestational weight gain and incident paediatric allergic disease. Several preplanned sensitivity analyses will be conducted, including a probabilistic bias analysis of outcome misclassification.Ethics and disseminationEthics approval was obtained from the Research Ethics Board of the Children’s Hospital of Eastern Ontario and the ICES Privacy Office. Findings will be disseminated in scientific conference presentations and peer-reviewed publications.


2012 ◽  
Vol 119 (12) ◽  
pp. 1493-1502 ◽  
Author(s):  
N Micali ◽  
B De Stavola ◽  
I dos-Santos-Silva ◽  
J Steenweg-de Graaff ◽  
PW Jansen ◽  
...  

Author(s):  
Huiling Xu ◽  
Elizabeth V. Arkema ◽  
Sven Cnattingius ◽  
Olof Stephansson ◽  
Kari Johansson

2017 ◽  
Vol 27 (10) ◽  
pp. 638-644.e1 ◽  
Author(s):  
Ruofan Yao ◽  
Bo Y. Park ◽  
Sarah E. Foster ◽  
Aaron B. Caughey

2016 ◽  
Vol 20 (7) ◽  
pp. 1485-1496 ◽  
Author(s):  
Tarja I. Kinnunen ◽  
Christin W. Waage ◽  
Christine Sommer ◽  
Line Sletner ◽  
Jani Raitanen ◽  
...  

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