Interactive effects of gestational diabetes and high pre-pregnancy body mass index on adverse growth patterns of offspring

Diabetes Metab Res Rev. 2024 Mar;40(3):e3759. doi: 10.1002/dmrr.3759. Epub 2023 Dec 18.

Abstract

Aims: To examine the independent and interactive effects of maternal gestational diabetes mellitus (GDM) and high pre-pregnancy body mass index (BMI) on the risk of offspring adverse growth patterns.

Materials and methods: One thousand six hundred and eighty one mother-child pairs were followed for 8 years in Tianjin, China. Group-based trajectory modelling was used to identify offspring growth patterns. Logistic regression was performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of GDM and high pre-pregnancy BMI for offspring adverse growth patterns. Restricted cubic spline was used to identify cut-off points. Additive interactions and multiplicative interactions were used to test interactive effects between GDM and high pre-pregnancy BMI for adverse growth patterns.

Results: Four distinct growth patterns were identified in offspring, including normal growth pattern, persistent lean growth pattern, late obesity growth pattern (LOGP), and persistent obesity growth pattern (POGP). Maternal high pre-pregnancy BMI was associated with LOGP and POGP (adjusted OR, 95% CI: 2.38, 1.74-3.25 & 4.92, 2.26-10.73). GDM greatly enhanced the adjusted OR of high pre-pregnancy BMI for LOGP up to 3.48 (95% CI: 2.25-5.38). Additive interactions and multiplicative interactions between both risk factors were significant for LOGP but not for POGP.

Conclusions: Maternal high pre-pregnancy BMI was associated with increased risk of LOGP and POGP, whereas GDM greatly enhanced the risk of high pre-pregnancy BMI for LOGP.

Keywords: childhood obesity; gestational diabetes mellitus; interaction; maternal body mass index; offspring growth pattern; pre-pregnancy obesity.

MeSH terms

  • Birth Weight
  • Body Mass Index
  • Diabetes, Gestational*
  • Female
  • Humans
  • Obesity
  • Pregnancy
  • Risk Factors