Maternal diabetes and risk of attention-deficit/hyperactivity disorder in offspring in a multinational cohort of 3.6 million mother-child pairs

Abstract

Previous studies report an association between maternal diabetes mellitus (MDM) and attention-deficit/hyperactivity disorder (ADHD), often overlooking unmeasured confounders such as shared genetics and environmental factors. We therefore conducted a multinational cohort study with linked mother-child pairs data in Hong Kong, New Zealand, Taiwan, Finland, Iceland, Norway and Sweden to evaluate associations between different MDM (any MDM, gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (PGDM)) and ADHD using Cox proportional hazards regression. We included over 3.6 million mother-child pairs between 2001 and 2014 with follow-up until 2020. Children who were born to mothers with any type of diabetes during pregnancy had a higher risk of ADHD than unexposed children (pooled hazard ratio (HR) = 1.16, 95% confidence interval (CI) = 1.08-1.24). Higher risks of ADHD were also observed for both GDM (pooled HR = 1.10, 95% CI = 1.04-1.17) and PGDM (pooled HR = 1.39, 95% CI = 1.25-1.55). However, siblings with discordant exposure to GDM in pregnancy had similar risks of ADHD (pooled HR = 1.05, 95% CI = 0.94-1.17), suggesting potential confounding by unmeasured, shared familial factors. Our findings indicate that there is a small-to-moderate association between MDM and ADHD, whereas the association between GDM and ADHD is unlikely to be causal. This finding contrast with previous studies, which reported substantially higher risk estimates, and underscores the need to reevaluate the precise roles of hyperglycemia and genetic factors in the relationship between MDM and ADHD.

Publication DOI: https://doi.org/10.1038/s41591-024-02917-8
Divisions: College of Health & Life Sciences > Aston Pharmacy School
College of Health & Life Sciences
Funding Information: We acknowledge the support from an Australian National Health and Medicine Research Council (NHMRC) \u2013 European Union Collaborative Research Grant (NHMRC, grant agreement number APP2007048) and the Taiwan National Science and Technology Council, Taiwa
Additional Information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
Publication ISSN: 1546-170X
Last Modified: 13 May 2024 11:51
Date Deposited: 03 May 2024 17:13
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-04-08
Published Online Date: 2024-04-08
Accepted Date: 2024-03-08
Authors: Chan, Adrienne Y. L.
Gao, Le
Hsieh, Miyuki Hsing-Chun
Kjerpeseth, Lars J.
Avelar, Raquel
Banaschewski, Tobias
Chan, Amy Hai Yan
Coghill, David
Cohen, Jacqueline M.
Gissler, Mika
Harrison, Jeff
Ip, Patrick
Karlstad, Øystein
Lau, Wallis C. Y.
Leinonen, Maarit K.
Leung, Wing Cheong
Liao, Tzu-Chi
Reutfors, Johan
Shao, Shih-Chieh
Simonoff, Emily
Tan, Kathryn Choon Beng
Taxis, Katja
Tomlin, Andrew
Cesta, Carolyn E.
Lai, Edward Chia-Cheng
Zoega, Helga
Man, Kenneth K. C.
Wong, Ian C. K.

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