Is maternal diabetes during pregnancy associated with attention deficit hyperactivity disorder and autism spectrum disorder in children? Insights from individual participant data meta-analysis in ten birth cohorts

Author:

Pretorius Rachelle Ann1,Avraam Demetris2,Guxens Mònica2,Julvez Jordi2,Harris Jennifer R3,Nader Johanna Thorbjornsrud3,Cadman Tim2,Elhakeem Ahmed2,Strandberg-Larsen Katrine4,Marroun Hanan El2,Defina Serena2,Yang Tiffany C5,McEachan Rosie5,Wright John5,Ibarluzea Jesús2,Marina Loreto Santa6,Delgado Juana Mari2,Rebagliato Marisa2,Charles Marie-Aline2,Vainqueur Chloe7,Zugna Daniela2,Yuan Wen Lun7,Heude Barbara7,Huang Rae-Chi1

Affiliation:

1. Nutrition & Health Innovation Research Institute, Edith Cowan University

2. University of Liverpool

3. Norwegian Institute of Public Health

4. University of Copenhagen

5. Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust

6. Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa

7. Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS)

Abstract

Abstract

Background Growing evidence shows that dysregulated metabolic intrauterine environments can affect neurodevelopment, cognitive and behaviour in offspring. However, results of individual cohort studies have been inconsistent. We aimed to investigate the association between maternal diabetes before pregnancy and gestational diabetes mellitus (GDM) with neurodevelopment, cognitive and behaviour outcomes in children. Methods Harmonized data from > 200 000 mother-child pairs across ten birth cohorts in Europe and Australia were available. Mother-child pairs were included for analysis to determine whether GDM was recorded (yes or no) and whether at least one neurodevelopmental, cognitive and behavioural outcome was available in children aged 3 to 13. Confounder-adjusted regression models were used to estimate associations between maternal diabetes and child outcomes using individual participant data (IPD) meta-analysis. Minimal adjustment model (model 1) included adjustments for child sex and maternal age. Full adjustment model (model 2) included adjustment for child sex and maternal age, birth weight, pre-pregnancy BMI, pregnancy weight gain, maternal smoking during pregnancy, plurality, parity, maternal education, and income. Results Children (aged 7–10 years) born to mothers with GDM had consistently higher attention-deficient hyperactive disorder (ADHD) symptoms compared to non-exposed controls (model 2, regression coefficient (β) 2.40 (95% CI 0.07, 4.73), P = 0.044)). Moreover, children (aged 4–6 years) born to mothers with GDM consistently exhibited more externalising problems than those born to mothers without GDM (model 2, β 2.50 (95% CI 0.15, 4.85), P = 0.039). In the secondary analysis, maternal history of type 1 and type 2 diabetes mellitus was associated with ADHD symptoms at 4–6 years (model 1, β 9.52 (95% CI 3.03, 16.01, P = 0.004) and β 8.73 (95% CI 1.72, 15.74, P = 0.001), respectively), the association was no longer apparent in further adjustments. Conclusions This study found that children between 4–6 and 7–10 years of age born to mothers with GDM have a greater likelihood of developing externalising problems and ADHD symptoms. Externalising problems often co-exist with ADHD symptoms and appear before medical intervention, particularly during school entry years (ages 4–6). Overall, this large-scale multi-cohort study suggested that a dysregulated metabolic environment during pregnancy may contribute to ADHD symptoms and externalising problems in young children.

Publisher

Springer Science and Business Media LLC

Reference73 articles.

1. Disorder-specific brain volumetric abnormalities in Attention-Deficit/Hyperactivity Disorder relative to Autism Spectrum Disorder;Albajara Sáenz A;PLoS ONE,2020

2. Prevalence of neurodevelopmental disorders among US children and adolescents in 2019 and 2020;Yang Y;Front Psychol,2022

3. Diagnostic and Statistical Manual of Mental Disorders (DSM);Battle DE;Codas,2013

4. Bidirectional genetic overlap between autism spectrum disorder and cognitive traits;Hope S;Translational Psychiatry,2023

5. Identification of Genetic Loci Shared Between Attention-Deficit/Hyperactivity Disorder, Intelligence, and Educational Attainment;O'Connell KS;Biol Psychiatry,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3