Gestational diabetes & diabetes in pregnancy

Body Mass Index Trajectories in Children Exposed to Gestational Diabetes in Utero: A Nationwide Register-based Study

J Clin Endocrinol MetabPublished Nationwide register-based cohort study

Authors' conclusion

Children exposed to GDM in utero differ widely in their BMI trajectory. The detection of risk profiles based on early BMI growth and infant and maternal characteristics provides an opportunity for future targeted care and prevention.

Study context

Population
Children exposed to gestational diabetes mellitus (GDM) in utero, born in Denmark January 2008–October 2019, Danish registries
Participants
15,509 children
Exposure
Normal vs Late accelerating vs Early accelerating
Outcome
Distinct BMI trajectories from birth to 10 years of age and their associations with infant and maternal characteristics
Follow-up
Birth to 10 years
Methodological detailslatent class trajectory modeling, multiple linear regression
  • Latent class trajectory modeling
  • Multiple linear regression

Main finding

As reported in the abstract

BMI trajectory classes

Observational data: associations, not effects.

Further findings

OutcomeP value
Characteristics of late accelerating trajectoryMore often born large for gestational ageP < 0.001
Characteristics of early accelerating trajectoryEarly accelerating vs other groupsP < 0.001
  • Characteristics of early accelerating trajectory: more boys, born small for gestational age, and mothers with higher pre-pregnancy body mass index (BMI)

Characteristics of late accelerating trajectory

Children in late accelerating trajectory more often born large for gestational age

Characteristics of early accelerating trajectory

Early accelerating trajectory: more boys, born small for gestational age, mothers with higher pre-pregnancy BMI vs other groups

Original publication

Body Mass Index Trajectories in Children Exposed to Gestational Diabetes in Utero: A Nationwide Register-based Study. J Clin Endocrinol Metab. Published 28 June 2023. doi:10.1210/clinem/dgad384

Composed by AI from the published abstract and checked against it. How Briefs are made →

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