Nicotine Exposure During Pregnancy and Postnatal Cognitive Outcomes: A Systematic Review and Meta‐Analysis

AIM: Nicotine exposure during pregnancy interferes with critical periods of foetal brain development, disrupting the timing and functioning of neurodevelopment. This systematic review and meta-analysis aims to evaluate the effect of prenatal nicotine exposure on postnatal cognitive outcomes. METHODS: Web of Science, PubMed, PsycINFOand OpenGrey databases were searched, with no date restrictions. Human (k = 1) and animal research (k = 8) was included. Studies were required to include at least one postnatal cognitive measure during the pre-weaning period. RESULTS: Exposure to nicotine during pregnancy negatively impacted postnatal outcomes of spatial memory (Cohen's d = -1.117; 95% CI [-2.112, -0.123]), centre exploration in animal studies (d = -1.054; 95% CI [-1.659, -0.449]), and reflex development in human and animal studies (d = -1.126; 95% CI [-1.737, -0.514]). Prenatal nicotine exposure did not have a significant effect on ambulation (d = -0.044; 95% CI [0.485, 0.397]) and rearing (d = -0.45; 95% CI [-1.042, 0.142]) in animals. CONCLUSION: Findings suggest that certain domains may be especially vulnerable to prenatal nicotine exposure, with reflex development showing the strongest effect. The scarcity of human studies underscores an urgent need for further research to ensure informed recommendations on nicotine intake during pregnancy.

Authors

Institutions

Publication Details

Journal
Acta Paediatrica
Published
2026-04-20
DOI
https://doi.org/10.1111/apa.70539
Primary Topic
Nicotinic Acetylcholine Receptors Study
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nicotine Exposure During Pregnancy and Postnatal Cognitive Outcomes: A Systematic Review and Meta‐Analysis

Nadja Reissland, Judith Covey, Deimantė Baguckaitė
Acta Paediatrica
Nicotinic Acetylcholine Receptors Study
article

Nicotine Exposure During Pregnancy and Postnatal Cognitive Outcomes: A Systematic Review and Meta‐Analysis

Nadja Reissland, Judith Covey, Deimantė Baguckaitė
article en

Abstract

AIM: Nicotine exposure during pregnancy interferes with critical periods of foetal brain development, disrupting the timing and functioning of neurodevelopment. This systematic review and meta-analysis aims to evaluate the effect of prenatal nicotine exposure on postnatal cognitive outcomes. METHODS: Web of Science, PubMed, PsycINFOand OpenGrey databases were searched, with no date restrictions. Human (k = 1) and animal research (k = 8) was included. Studies were required to include at least one postnatal cognitive measure during the pre-weaning period. RESULTS: Exposure to nicotine during pregnancy negatively impacted postnatal outcomes of spatial memory (Cohen's d = -1.117; 95% CI [-2.112, -0.123]), centre exploration in animal studies (d = -1.054; 95% CI [-1.659, -0.449]), and reflex development in human and animal studies (d = -1.126; 95% CI [-1.737, -0.514]). Prenatal nicotine exposure did not have a significant effect on ambulation (d = -0.044; 95% CI [0.485, 0.397]) and rearing (d = -0.45; 95% CI [-1.042, 0.142]) in animals. CONCLUSION: Findings suggest that certain domains may be especially vulnerable to prenatal nicotine exposure, with reflex development showing the strongest effect. The scarcity of human studies underscores an urgent need for further research to ensure informed recommendations on nicotine intake during pregnancy.

Acta Paediatrica
Durham University (GB)
Good health and well-being
Openalex Percentile: Top 11%
Nicotinic Acetylcholine Receptors Study
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.