Diurnal salivary cortisol patterns prior to pregnancy predict infant birth weight

Christine M Guardino1, Christine Dunkel Schetter1, Darby E Saxbe2

  • 1Department of Psychology, University of California-Los Angeles.

Insights

Maternal stress hormone patterns between pregnancies impact infant birth weight. Flatter cortisol slopes during the interpregnancy interval predicted lower birth weight, highlighting the importance of maternal stress physiology.

Area of Science:

  • Reproductive Health
  • Endocrinology
  • Developmental Psychology

Background:

  • Maternal stress and stress hormones during pregnancy are linked to adverse birth outcomes.
  • Fetal programming research shows associations between maternal stress and later-life offspring outcomes.
  • The role of maternal stress physiology between pregnancies on birth outcomes is less understood.

Purpose of the Study:

  • To investigate if hypothalamic-pituitary-adrenal (HPA) axis patterns during the interpregnancy interval and subsequent pregnancy predict infant birth weight.
  • To explore the relationship between interpregnancy cortisol patterns and interpregnancy interval length.

Main Methods:

  • Salivary cortisol was measured in 142 women before and during pregnancy.
  • Multilevel modeling was used to analyze the association between cortisol slopes and infant birth weight.
  • Demographic covariates were included in the analysis.

Main Results:

  • Flatter diurnal cortisol slopes between pregnancies predicted lower infant birth weight.
  • These interpregnancy cortisol patterns were associated with shorter interpregnancy intervals.
  • Interpregnancy cortisol slopes predicted birth weight independently of pregnancy cortisol slopes.

Conclusions:

  • Interpregnancy hypothalamic-pituitary-adrenal (HPA) axis function is a significant predictor of subsequent pregnancy outcomes.
  • Maternal stress physiology between pregnancies is crucial for infant birth weight.
  • Findings support life course health approaches to understanding pregnancy outcomes.
Abstract