Interrelations Between Maternal Smoking During Pregnancy, Birth Weight and Sociodemographic Factors in the Prediction

S C J Huijbregts1, J R Séguin2, P D Zelazo3

  • 1Department of Clinical Child and Adolescent Studies, Leiden University, The Netherlands.

Insights

Maternal prenatal smoking and birth weight impact children's cognitive abilities. Birth weight, particularly in lower socioeconomic conditions, showed a stronger influence on cognitive development than prenatal smoking.

Area of Science:

  • Child Development
  • Cognitive Psychology
  • Public Health

Background:

  • Maternal prenatal smoking and birth weight are potential influences on child cognitive development.
  • Sociodemographic factors may moderate these relationships.

Purpose of the Study:

  • To investigate the relationship between maternal prenatal smoking, birth weight, sociodemographic factors, and cognitive abilities in 3.5-year-old children.
  • To explore moderating and mediating effects in these associations.

Main Methods:

  • Utilized data from 1544 children in the Québec Longitudinal Study of Children's Development.
  • Assessed cognitive abilities using the Peabody Picture Vocabulary Test (PPVT) for verbal skills, Wechsler Preschool and Primary Scale of Intelligence-Revised (WPPSI-R) block design for visuospatial skills, and Visually Cued Recall (VCR) for short-term memory.

Main Results:

  • Prenatal smoking showed associations with cognitive performance but was not an independent predictor after accounting for maternal education.
  • Birth weight was a robust predictor across all cognitive measures, independently predicting VCR performance.
  • Birth weight interacted with family income and maternal education, with greater impact under poorer socioeconomic conditions. Parenting and family functioning mediated effects of education/income on cognition, especially with lower birth weight.

Conclusions:

  • Birth weight, especially in conjunction with socioeconomic factors, plays a significant role in early cognitive development.
  • Understanding moderating and mediating factors like socioeconomic status and family functioning is crucial for identifying at-risk children and designing targeted interventions.

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