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Korpijaakko CA, Eriksson JG, Kautiainen H, Klemetti MM, Laine MK. Increased purchases of prescription medicines in offspring of women with type 1 diabetes: a Finnish register-based cohort study between 1995 and 2018. Ann Med 2024; 56:2412283. [PMID: 39434552 PMCID: PMC11497570 DOI: 10.1080/07853890.2024.2412283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 05/12/2024] [Accepted: 06/05/2024] [Indexed: 10/23/2024] Open
Abstract
OBJECTIVE This study aimed to assess whether in utero exposure to hyperglycemia influences prescription medicine purchases in the offspring of women with type 1 diabetes (exposed offspring). PATIENTS/MATERIALS AND METHODS We identified all singleton exposed offspring born in the hospital district of Helsinki and Uusimaa, Finland, between 1988 and 2011 from the Finnish Medical Birth Register, maintained by the Finnish Institute for Health and Welfare. For each exposed offspring, we obtained five age- and province-matched offspring of women without diabetes (reference offspring), from the Finnish Medical Birth Register. By combining data from three national registers, this longitudinal cohort study assessed prescription medicine purchases in exposed offspring (n = 1,725) and reference offspring (n = 8,755) from seven to thirty years of age. Prescription medicine purchases were grouped according to the Anatomical Therapeutic Chemical (ATC) classification system. RESULTS Between 1995 and 2018, a total of 211,490 prescription medicines were purchased. After a median follow-up of 10.9 (interquartile range 4.9,17.6) years, we observed higher incidence risk ratios (IRR) of prescription medicine purchases for several ATC main groups in exposed offspring compared to reference offspring, with the highest IRR of 4.06 (95% CI: 2.78 to 5.94) for medicines affecting metabolism (e.g. diabetes medicines). CONCLUSION Our findings suggest that exposed offspring purchase more reimbursable prescription medicines than reference offspring from age seven to thirty years. More research is needed to examine the effects of intrauterine exposure to hyperglycemia on long-term health in offspring.
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Affiliation(s)
- Cedric A. Korpijaakko
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Johan G. Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and Department of Obstetrics and Gynecology, National University Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Hannu Kautiainen
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland
| | - Miira M. Klemetti
- Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
| | - Merja K. Laine
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
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Chan AYL, Gao L, Hsieh MHC, Kjerpeseth LJ, Avelar R, Banaschewski T, Chan AHY, Coghill D, Cohen JM, Gissler M, Harrison J, Ip P, Karlstad Ø, Lau WCY, Leinonen MK, Leung WC, Liao TC, Reutfors J, Shao SC, Simonoff E, Tan KCB, Taxis K, Tomlin A, Cesta CE, Lai ECC, Zoega H, Man KKC, Wong ICK. Maternal diabetes and risk of attention-deficit/hyperactivity disorder in offspring in a multinational cohort of 3.6 million mother-child pairs. Nat Med 2024; 30:1416-1423. [PMID: 38589601 PMCID: PMC11108779 DOI: 10.1038/s41591-024-02917-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/08/2024] [Indexed: 04/10/2024]
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.
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Affiliation(s)
- Adrienne Y L Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology and Economics, University of Groningen, Groningen, The Netherlands
| | - Le Gao
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Miyuki Hsing-Chun Hsieh
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Lars J Kjerpeseth
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Raquel Avelar
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services, Copenhagen, Denmark
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Amy Hai Yan Chan
- School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - David Coghill
- Departments of Paediatrics and Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Jacqueline M Cohen
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Mika Gissler
- Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Solna, Sweden
- Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Research Centre for Child Psychiatry, University of Turku, Turku, Finland
| | - Jeff Harrison
- School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Øystein Karlstad
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Wallis C Y Lau
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
| | - Maarit K Leinonen
- Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Wing Cheong Leung
- Department of Obstetrics and Gynaecology, Kwong Wah Hospital, Yau Ma Tei, Hong Kong
| | - Tzu-Chi Liao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Johan Reutfors
- Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Solna, Sweden
| | - Shih-Chieh Shao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacy, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Katja Taxis
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology and Economics, University of Groningen, Groningen, The Netherlands
| | - Andrew Tomlin
- School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Carolyn E Cesta
- Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Solna, Sweden.
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Helga Zoega
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
| | - Kenneth K C Man
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong.
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK.
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong.
- School of Pharmacy, Medical Sciences Division, Macau University of Science and Technology, Taipa, Macau.
- Advance Data Analytics for Medical Science Limited, Hong Kong, Hong Kong.
- School of Pharmacy, Aston University, Birmingham, UK.
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Rodolaki K, Pergialiotis V, Iakovidou N, Boutsikou T, Iliodromiti Z, Kanaka-Gantenbein C. The impact of maternal diabetes on the future health and neurodevelopment of the offspring: a review of the evidence. Front Endocrinol (Lausanne) 2023; 14:1125628. [PMID: 37469977 PMCID: PMC10352101 DOI: 10.3389/fendo.2023.1125628] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 06/12/2023] [Indexed: 07/21/2023] Open
Abstract
Maternal health during gestational period is undoubtedly critical in shaping optimal fetal development and future health of the offspring. Gestational diabetes mellitus is a metabolic disorder occurring in pregnancy with an alarming increasing incidence worldwide during recent years. Over the years, there is a growing body of evidence that uncontrolled maternal hyperglycaemia during pregnancy can potentially have detrimental effect on the neurodevelopment of the offspring. Both human and animal data have linked maternal diabetes with motor and cognitive impairment, as well as autism spectrum disorders, attention deficit hyperactivity disorder, learning abilities and psychiatric disorders. This review presents the available data from current literature investigating the relationship between maternal diabetes and offspring neurodevelopmental impairment. Moreover, possible mechanisms accounting for the detrimental effects of maternal diabetes on fetal brain like fetal neuroinflammation, iron deficiency, epigenetic alterations, disordered lipid metabolism and structural brain abnormalities are also highlighted. On the basis of the evidence demonstrated in the literature, it is mandatory that hyperglycaemia during pregnancy will be optimally controlled and the impact of maternal diabetes on offspring neurodevelopment will be more thoroughly investigated.
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Affiliation(s)
- Kalliopi Rodolaki
- First Department of Pediatrics, “Aghia Sophia” Children’s Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Vasilios Pergialiotis
- First Department of Obstetrics and Gynecology, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikoleta Iakovidou
- Neonatal Department, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodora Boutsikou
- Neonatal Department, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Zoe Iliodromiti
- Neonatal Department, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Christina Kanaka-Gantenbein
- First Department of Pediatrics, “Aghia Sophia” Children’s Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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McIntyre HD, Fuglsang J, Kampmann U, Knorr S, Ovesen P. Hyperglycemia in Pregnancy and Women's Health in the 21st Century. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16827. [PMID: 36554709 PMCID: PMC9779688 DOI: 10.3390/ijerph192416827] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/07/2022] [Accepted: 12/12/2022] [Indexed: 05/09/2023]
Abstract
Hyperglycemia is the commonest medical condition affecting pregnancy and its incidence is increasing globally in parallel with the twin epidemics of diabetes and obesity. Both pre-pregnancy diabetes and gestational diabetes are associated with short term pregnancy complications, with the risk of immediate complications generally broadly rising with more severe hyperglycemia. In this article we firstly consider these risks and their optimal management during pregnancy and then broaden our scope to consider the long-term implications of hyperglycemia in pregnancy as it relates to overall maternal and offspring health in a life course perspective.
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Affiliation(s)
- Harold David McIntyre
- Mater Research, The University of Queensland, South Brisbane, QLD 4101, Australia
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
| | - Jens Fuglsang
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Steno Diabetes Center Aarhus, 8200 Aarhus, Denmark
- Department of Obstetrics and Gynaecology, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Ulla Kampmann
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Steno Diabetes Center Aarhus, 8200 Aarhus, Denmark
| | - Sine Knorr
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Steno Diabetes Center Aarhus, 8200 Aarhus, Denmark
| | - Per Ovesen
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Steno Diabetes Center Aarhus, 8200 Aarhus, Denmark
- Department of Obstetrics and Gynaecology, Aarhus University Hospital, 8200 Aarhus, Denmark
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5
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Chen S, Zhao S, Dalman C, Karlsson H, Gardner R. Association of maternal diabetes with neurodevelopmental disorders: autism spectrum disorders, attention-deficit/hyperactivity disorder and intellectual disability. Int J Epidemiol 2021; 50:459-474. [PMID: 33221916 PMCID: PMC8128461 DOI: 10.1093/ije/dyaa212] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2020] [Indexed: 01/01/2023] Open
Abstract
Background Maternal diabetes has been associated with a risk of neurodevelopmental disorders (NDDs) in offspring, though the common co-occurrence of autism spectrum disorders (ASD), attention-deficit/hyperactivity disorder (ADHD) and intellectual disability (ID) is rarely considered, nor is the potential for confounding by shared familial factors (e.g. genetics). Methods This population-based cohort study used data from Psychiatry Sweden, a linkage of Swedish national registers, to follow 2 369 680 individuals born from 1987 to 2010. We used population-averaged logit models to examine the association between exposure to maternal type 1 diabetes mellitus (T1DM), pre-gestational type 2 diabetes mellitus (T2DM) or gestational diabetes mellitus (GDM), and odds of NDDs in offspring. Subgroup analysis was then performed to investigate the timings of GDM diagnosis during pregnancy and its effect on the odds of NDDs in offspring. We compared these results to models considering paternal lifetime T1DM and T2DM as exposures. Results Overall, 45 678 individuals (1.93%) were diagnosed with ASD, 20 823 (0.88%) with ID and 102 018 (4.31%) with ADHD. All types of maternal diabetes were associated with odds of NDDs, with T2DM most strongly associated with any diagnosis of ASD (odds ratioadjusted 1.37, 95% confidence interval 1.03–1.84), ID (2.09, 1.53–2.87) and ADHD (1.43, 1.16–1.77). Considering common co-morbid groups, the associations were strongest between maternal diabetes and diagnostic combinations that included ID. Paternal T1DM and T2DM diagnoses were also associated with offspring NDDs, but these associations were weaker than those with maternal diabetes. Diagnosis of GDM between 27 and 30 weeks of gestation was generally associated with the greatest risk of NDDs in offspring, with the strongest associations for outcomes that included ID. Conclusion The association of maternal diabetes with NDDs in offspring varies depending on the co-morbid presentation of the NDDs, with the greatest odds associated with outcomes that included ID. Results of paternal-comparison studies suggest that the above associations are likely to be partly confounded by shared familial factors, such as genetic liability.
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Affiliation(s)
- Shuyun Chen
- Department of Global Public Health, Karolinska Institutet, Stockholm 17177, Sweden
| | - Sixian Zhao
- Department of Global Public Health, Karolinska Institutet, Stockholm 17177, Sweden
| | - Christina Dalman
- Department of Global Public Health, Karolinska Institutet, Stockholm 17177, Sweden.,Centre for Epidemiology and Community Medicine, Stockholm County Council, Stockholm 17129, Sweden
| | - Håkan Karlsson
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Renee Gardner
- Department of Global Public Health, Karolinska Institutet, Stockholm 17177, Sweden
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Vanhandsaeme G, Benhalima K. The long-term metabolic and neurocognitive risks in offspring of women with type 1 diabetes mellitus. Acta Diabetol 2021; 58:845-858. [PMID: 33723650 DOI: 10.1007/s00592-021-01692-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 02/22/2021] [Indexed: 11/30/2022]
Abstract
AIMS Previous studies have evaluated long-term metabolic and neurocognitive outcomes in offspring of women with diabetes. However, many studies did not differentiate between different types of diabetes. We aimed to specifically evaluate both metabolic and neurocognitive outcomes in offspring of women with type 1 diabetes mellitus (OT1D). METHODS We conducted an extensive literature search on PubMed between February 2020 and September 2020. We performed a scoping review including 12 retrospective cohort studies, 15 prospective cohort studies, one case-control study and one cross-sectional study, comparing long-term metabolic and neurocognitive outcomes between OT1D and a control group. RESULTS OT1D had a higher body mass index and an increased risk for overweight and obesity compared to offspring of mothers without diabetes. A limited number of studies showed a higher risk for (pre)diabetes, higher rates of non-alcoholic fatty liver disease and metabolic syndrome in OT1D. Index offspring had in general similar intelligence and academic achievement as control children but a higher risk for attention deficit and hyperactivity disorders. Data were conflicting concerning the increased risk for autism spectrum disorders. There is limited evidence suggesting that female offspring have more often unfavorable metabolic parameters, while male offspring are more at risk for hyperactivity/impulsivity. CONCLUSION Maternal type 1 diabetes mellitus is associated with an increased risk of several metabolic complications and neurobehavioral disorders in the offspring. Increased attention for long-term complications in this population is needed. Further research is needed to evaluate whether improved glycemic control in pregnancy can reduce these long-term complications.
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Affiliation(s)
- Gilles Vanhandsaeme
- Medical School, University Hospital Gasthuisberg, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Katrien Benhalima
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
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Aduen PA, Kofler MJ, Bradshaw CP, Sarver DE, Cox DJ. The role of top-down attentional control and attention-deficit/hyperactivity disorder symptoms in predicting future motor vehicle crash risk. Neuropsychology 2020; 34:894-905. [PMID: 33197201 DOI: 10.1037/neu0000707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Objective: Attention-deficit/hyperactivity disorder (ADHD) confers elevated risk for automobile crashes, both as a clinical syndrome and continuously when examining risk as a function of symptom severity. However, the neurocognitive mechanisms and processes underlying this risk remain poorly understood. The current longitudinal study examined whether attention network components reflect neurocognitive pathways linking ADHD symptoms with adverse driving outcomes. Method: Drivers from six U.S. sites participating in the Strategic Highway Research Program Naturalistic Driving Study (N=3,226) were prospectively monitored for objectively identified crashes, near-crashes, and crash/near-crash fault. At study entry, drivers were assessed for ADHD symptoms; completed the Conners' Continuous Performance Test, Second Edition; and were then followed continuously for 1-2 years of routine, on-road driving using technology-enhanced in-car monitoring. Bias-corrected, bootstrapped mediation models examined the extent to which attention network components mediated the association between ADHD symptoms and future driving risk, controlling for known risk factors. Results: As expected, self-reported ADHD symptoms predicted all markers of future driving risk. Higher ADHD symptoms were associated with reduced inhibitory control, lower levels of top-down attentional control (endogenous orienting), and greater arousal decrements (phasic alertness). Controlling for ADHD symptoms, top-down attentional control uniquely predicted future crashes, near-crashes, and culpability for future crashes/near-crashes; only arousal decrements portended future near-crashes. Only top-down attentional control significantly mediated the association between baseline ADHD symptoms and future driving risk. Conclusions: The driving risks associated with ADHD appear to be conveyed in part by impairments in the top-down, voluntary control of attention, rather than by difficulties sustaining attention over time or inhibiting impulses, as is often assumed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
- Paula A Aduen
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School
| | | | | | - Dustin E Sarver
- Department of Pediatrics, Center for Advancement of Youth, University of Mississippi Medical Center
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Guo D, Ju R, Zhou Q, Mao J, Tao H, Jing H, Zhu C, Dai J. Association of maternal diabetes with attention deficit/hyperactivity disorder (ADHD) in offspring: A meta-analysis and review. Diabetes Res Clin Pract 2020; 165:108269. [PMID: 32535117 DOI: 10.1016/j.diabres.2020.108269] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 06/08/2020] [Indexed: 01/11/2023]
Abstract
AIMS Researches on the relationship between maternal pregestational or gestational diabetes and attention deficit/hyperactivity disorder (ADHD) in offspring provided inconsistent findings; therefore, we performed an updated and comprehensive literature review and meta-analysis to evaluate the available evidence. METHOLDS Relevant articles in Pubmed, Web of Science, Cochrane, Embase, and Wanfang database published until January 2019 were searched without language restriction. We performed a meta-analysis about maternal pregestational and gestational diabetes and risk of ADHD in offspring using odds ratio (OR), relative risk (RR), hazard ratio (HR) and 95% confidence interval (95% CI) extracted from each study. RESULTS Seven articles were included in this study and a total of 3,169,529 participants were accumulated. We found maternal pregestational diabetes increased the risk of ADHD in offspring by 44% (95% CI was 1.32-1.57). CONCLUSIONS Maternal pregestational diabetes is a potential adverse risk of ADHD in offspring. Considering the limited amount of reliable information availabe. In the future, more in-depth and detailed researches, especially population-based prospective cohort studies, are needed to explore this topic more comprehensively.
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Affiliation(s)
- Dan Guo
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China.
| | - Rong Ju
- Department of Gynaecology and Obstetrics, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
| | - Qifan Zhou
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
| | - Jinxian Mao
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
| | - Hui Tao
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
| | - Hui Jing
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
| | - Chen Zhu
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
| | - Jiazhen Dai
- Department of Preventive Health Branch, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing 211100, China
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Zeng Y, Tang Y, Yue Y, Li W, Qiu X, Hu P, Tang J, Wang H, Yang X, Qu Y, Mu D. Cumulative evidence for association of parental diabetes mellitus and attention-deficit/hyperactivity disorder. Neurosci Biobehav Rev 2019; 117:129-139. [PMID: 31706957 DOI: 10.1016/j.neubiorev.2019.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 11/05/2019] [Accepted: 11/06/2019] [Indexed: 12/17/2022]
Abstract
We conducted a systematic review and meta-analysis to evaluate the association between parental diabetes mellitus and the risk of ADHD in offspring. The PubMed, EMBASE, Cochrane, and Web of Science databases were searched from inception to May 31, 2019. Thirteen observational studies containing 5,052,736 participants were included. Two reviewers independently extracted data and assessed the quality of the studies using predefined standard procedures. Random-effects model were used. We found that maternal pregestational diabetes mellitus (PGDM) was associated with an increased risk of ADHD in offspring (odds ratio [OR]: 1.40; 95% confidence interval [CI]:1.31-1.50) in adjusted analyses. Increased risks of ADHD in offspring were also observed among those with maternal preexisting type 1 diabetes (T1D) (OR: 1.39; 95% CI: 1.27-1.52) and paternal T1D (OR: 1.20; 95% CI: 1.13-1.28) in adjusted analyses. Sensitivity analyses supported the robustness of our findings. Future studies should use robust designs to address whether the association with parental diabetes mellitus is causal.
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Affiliation(s)
- Yan Zeng
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Ying Tang
- Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China; Ultrasonic Department, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Yan Yue
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Wenxing Li
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Xia Qiu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Peng Hu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Jun Tang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Huiqing Wang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Xiaoyan Yang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Yi Qu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China; Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Ministry of Education, Sichuan University, Chengdu, 610041, China.
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Systemic endocrinopathies (thyroid conditions and diabetes): impact on postnatal life of the offspring. Fertil Steril 2019; 111:1076-1091. [PMID: 31155115 DOI: 10.1016/j.fertnstert.2019.04.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 04/25/2019] [Accepted: 04/26/2019] [Indexed: 12/22/2022]
Abstract
Fetal programming may influence childhood and adult life, determining the risk of specific diseases. During earlier stages of pregnancy, the transfer of maternal thyroid hormones to the fetus is vital for adequate neurologic development. The presence of severe maternal thyroid dysfunction, particularly severe iodine deficiency, is devastating, leading to irreversible neurologic sequelae. Moreover, mild maternal thyroid conditions, such as a mild-to-moderate iodine deficiency, may also lead to milder neurologic and behavioral conditions later during the life of the offspring. Maternal dysglycemia due to pregestational or gestational diabetes mellitus is another common situation in which fetal development encounters a hostile environment. Hyperglycemia in utero may trigger metabolic conditions in the offspring, including abnormalities of glucose tolerance and weight excess. Physicians assisting pregnant women have to be aware about these conditions, because they may go unnoticed if not properly screened. Because an early diagnosis and appropriate management may prevent most of the possible negative consequences for the progeny, the prevention, early diagnosis, and proper management of these endocrine conditions should be offered to all women undergoing pregnancy. Here, we comprehensively review the current evidence about the effects of maternal thyroid dysfunction and maternal dysglycemia on the cognitive function and carbohydrate metabolism in the offspring, two prevalent conditions of utmost importance for the child's health and development.
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Yamamoto JM, Benham JL, Dewey D, Sanchez JJ, Murphy HR, Feig DS, Donovan LE. Neurocognitive and behavioural outcomes in offspring exposed to maternal pre-existing diabetes: a systematic review and meta-analysis. Diabetologia 2019; 62:1561-1574. [PMID: 31278412 DOI: 10.1007/s00125-019-4923-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 05/10/2019] [Indexed: 10/26/2022]
Abstract
AIMS/HYPOTHESIS We performed a systematic review and meta-analysis to determine whether exposure to maternal pre-existing diabetes in pregnancy is associated with neurocognitive or behavioural outcomes in offspring. METHODS We searched MEDLINE, EMBASE, PsychINFO, the Cochrane Database of Systematic Reviews and Scopus for studies that examined any neurocognitive or behavioural outcomes in offspring of mothers with pre-existing diabetes in pregnancy in accordance with a published protocol (PROSPERO CRD42018109038). Title and abstract review, full-text review and data extraction were performed independently and in duplicate. Risk of bias was assessed using the Newcastle-Ottawa scale. Meta-analyses of summary measures were performed using random-effects models. RESULTS Nineteen articles including at least 18,681 exposed and 2,856,688 control participants were identified for inclusion. Exposure to maternal pre-existing diabetes in pregnancy was associated with a lower pooled intelligence quotient in the offspring (pooled weighted mean difference -3.07 [95% CI -4.59, -1.55]; I2 = 0%) and an increased risk of autism spectrum disorders (effect estimate 1.98 [95% CI 1.46, 2.68]; I2 = 0%). There was also an increased risk of attention deficit/hyperactivity disorder (pooled HR 1.36 [95% CI 1.19, 1.55]; I2 = 0%), though this was based on only two studies. Although most studies were found to be high quality in terms of participant selection, in many studies, comparability of cohorts and adequacy of follow-up were sources of bias. CONCLUSIONS/INTERPRETATION There is evidence to suggest that in utero exposure to maternal pre-existing diabetes is associated with some adverse neurocognitive and behavioural outcomes. It remains unclear what the role of perinatal factors is and the degree to which other environmental factors contribute to these findings.
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Affiliation(s)
- Jennifer M Yamamoto
- Department of Medicine, Cumming School of Medicine, University of Calgary, Richmond Road Diagnostic and Treatment Centre, 1820 Richmond Road SW, Calgary, AB, T2T 5C7, Canada.
- Department of Obstetrics and Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| | - Jamie L Benham
- Department of Medicine, Cumming School of Medicine, University of Calgary, Richmond Road Diagnostic and Treatment Centre, 1820 Richmond Road SW, Calgary, AB, T2T 5C7, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Deborah Dewey
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Owerko Centre at the Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Helen R Murphy
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Women's Health Academic Centre, Division of Women's and Children's Health, King's College London, London, UK
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Denice S Feig
- Mount Sinai Hospital, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lois E Donovan
- Department of Medicine, Cumming School of Medicine, University of Calgary, Richmond Road Diagnostic and Treatment Centre, 1820 Richmond Road SW, Calgary, AB, T2T 5C7, Canada
- Department of Obstetrics and Gynecology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Zhao L, Li X, Liu G, Han B, Wang J, Jiang X. The association of maternal diabetes with attention deficit and hyperactivity disorder in offspring: a meta-analysis. Neuropsychiatr Dis Treat 2019; 15:675-684. [PMID: 30880994 PMCID: PMC6419587 DOI: 10.2147/ndt.s189200] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Recent controversial evidence suggests that maternal diabetes may increase the risk of attention deficit and hyperactivity disorder (ADHD) in offspring. To examine this potential association, a systematic literature search and meta-analysis was performed. METHODS OR or risk ratio (RR) from each study was obtained and combined for evaluating the risk. Six cohort studies and three case-control studies were included in the present study. RESULTS The meta-analysis of the highly heterogeneous case-control studies did not find significant association between maternal diabetes and ADHD risk (OR: 1.20, 95% CI: 0.96-1.49). The combining of the cohort studies demonstrated that offspring of diabetic mothers were at higher risk of ADHD (RR: 1.40, 95% CI: 1.27-1.54); however, publication bias was identified. When exposure was specified as gestational diabetes mellitus (GDM), GDM exposure increased the risk of ADHD for children by 164% (95% CI: 1.25-5.56) in a Caucasian population. Neither heterogeneity nor publication bias was detected. CONCLUSION Maternal diabetes, especially GDM, is probably a risk factor for ADHD in the Caucasian population. More studies based on large sample size and different ethnicities are needed to confirm this association.
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Affiliation(s)
- Lifeng Zhao
- Department of Endocrinology, Tianjin First Center Hospital, Tianjin, China,
| | - Xuesong Li
- First Center Clinical Medical Institute, Tianjin Medical University, Tianjin, China
| | - Guanying Liu
- Department of Endocrinology, Tianjin First Center Hospital, Tianjin, China,
| | - Baoling Han
- Department of Endocrinology, Tianjin First Center Hospital, Tianjin, China,
| | - Jian Wang
- Department of Endocrinology, Tianjin First Center Hospital, Tianjin, China,
| | - Xia Jiang
- Department of Endocrinology, Tianjin First Center Hospital, Tianjin, China,
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