scholarly journals The association between gestational diabetes and ASD and ADHD: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jennifer Rowland ◽  
Claire A. Wilson
Keyword(s):  
Gestational Diabetes ◽  
Neurodevelopmental Disorders ◽  
Data Extraction ◽  
Meta Analysis ◽  
Maternal Diabetes ◽  
Autism Spectrum ◽  
Cochrane Library ◽  
Hyperactivity Disorder ◽  
Increased Risk ◽  
Specific Association

AbstractThere is growing evidence for a role of maternal diabetes in the pathogenesis of neurodevelopmental disorders. However, the specific association between gestational diabetes (GDM), as opposed to pre-gestational diabetes, has been poorly isolated. Thus the aim was to systematically review and meta-analyse literature pertaining to prevalence and risk for two neurodevelopmental disorders: autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), when exposed to GDM. PubMed, Cochrane Library, EMBASE, PsycINFO and CINAHL were systematically searched for eligible literature, with forward and backward citation tracking. Screening for eligibility, risk of bias assessment and data extraction were performed by two independent reviewers. 18 studies measuring ASD and 15 measuring ADHD met inclusion criteria. On meta-analysis there was an increased risk of ASD (OR 1.42; 95% CI 1.22, 1.65) but not ADHD (OR 1.01; 95% CI 0.79, 1.28). We discuss potential mechanisms for these differing risks. Greater understanding of risk factors, including GDM, for these neurodevelopmental disorders and potential mechanisms may help inform strategies aimed at prevention of exposure to these adversities during pregnancy.

scholarly journals Maternal Thyroid Dysfunction During Pregnancy and the Risk of Adverse Outcomes in the Offspring: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 105 (12) ◽  
pp. 3821-3841
Author(s):  
Grace Mengqin Ge ◽  
Miriam T Y Leung ◽  
Kenneth K C Man ◽  
Wing Cheong Leung ◽  
Patrick Ip ◽  
...  
Keyword(s):  
Thyroid Dysfunction ◽  
Data Extraction ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Adverse Outcomes ◽  
Cochrane Library ◽  
Increased Risk ◽  
Study Characteristics ◽  
Potential Link ◽  
Maternal Thyroid

Abstract Context Previous studies suggested a potential link of maternal thyroid dysfunction with adverse neurocognitive outcomes and impaired development of internal organs in offspring. Objective To review the association between maternal thyroid dysfunction and the risk of adverse outcomes in offspring. Data Sources PubMed, EMBASE, and Cochrane Library. Study Selections Eligible studies reported the association between maternal thyroid hormone function and the risk of adverse outcomes in their children. Data Extraction Reviewers extracted data on study characteristics and results independently. Data Synthesis Estimates were pooled and reported as odds ratio (OR) with 95% confidence interval (CI). I2 tests were applied to assess the heterogeneity across studies. Results We identified 29 eligible articles and found an association between maternal hyperthyroidism and attention deficit hyperactivity disorder (ADHD) (OR: 1.18, 95% CI: 1.04-1.34, I2 = 0%) and epilepsy (OR: 1.19, 95% CI: 1.08-1.31, I2 = 0%) in offspring; as well as an association of maternal hypothyroidism with increased risk of ADHD (OR: 1.14, 95% CI: 1.03-1.26, I2 = 25%), autism spectrum disorder (OR: 1.41, 95% CI: 1.05-1.90, I2 = 63%), and epilepsy (OR: 1.21, 95% CI: 1.06-1.39, I2 = 0%) in offspring. Conclusion Routine measurement and timely treatment on thyroid function should be considered for pregnant women.

Executive functions in children with heart disease: a systematic review and meta-analysis

2021 ◽  
pp. 1-9
Author(s):  
William M. Jackson ◽  
Nicholas Davis ◽  
Johanna Calderon ◽  
Jennifer J. Lee ◽  
Nicole Feirsen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Executive Functions ◽  
Data Extraction ◽  
Meta Analysis ◽  
Executive Dysfunction ◽  
Cochrane Library ◽  
Planning Problem ◽  
Healthy Controls ◽  
Cross Sectional ◽  
Increased Risk

Abstract Context: People with CHD are at increased risk for executive functioning deficits. Meta-analyses of these measures in CHD patients compared to healthy controls have not been reported. Objective: To examine differences in executive functions in individuals with CHD compared to healthy controls. Data sources: We performed a systematic review of publications from 1 January, 1986 to 15 June, 2020 indexed in PubMed, CINAHL, EMBASE, PsycInfo, Web of Science, and the Cochrane Library. Study selection: Inclusion criteria were (1) studies containing at least one executive function measure; (2) participants were over the age of three. Data extraction: Data extraction and quality assessment were performed independently by two authors. We used a shifting unit-of-analysis approach and pooled data using a random effects model. Results: The search yielded 61,217 results. Twenty-eight studies met criteria. A total of 7789 people with CHD were compared with 8187 healthy controls. We found the following standardised mean differences: −0.628 (−0.726, −0.531) for cognitive flexibility and set shifting, −0.469 (−0.606, −0.333) for inhibition, −0.369 (−0.466, −0.273) for working memory, −0.334 (−0.546, −0.121) for planning/problem solving, −0.361 (−0.576, −0.147) for summary measures, and −0.444 (−0.614, −0.274) for reporter-based measures (p < 0.001). Limitations: Our analysis consisted of cross-sectional and observational studies. We could not quantify the effect of collinearity. Conclusions: Individuals with CHD appear to have at least moderate deficits in executive functions. Given the growing population of people with CHD, more attention should be devoted to identifying executive dysfunction in this vulnerable group.

scholarly journals Attention-deficit/hyperactivity disorder and risk for psychiatric and neurodevelopmental disorders in siblings

2018 ◽  
Vol 49 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Elina Jokiranta-Olkoniemi ◽  
Keely Cheslack-Postava ◽  
Petteri Joelsson ◽  
Auli Suominen ◽  
Alan S. Brown ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Neurodevelopmental Disorders ◽  
Neurodevelopmental Disorder ◽  
Population Based ◽  
Autism Spectrum ◽  
Schizophrenia Spectrum Disorders ◽  
Hyperactivity Disorder ◽  
Increased Risk ◽  
Spectrum Disorders

AbstractBackgroundProbands with attention-deficit/hyperactivity disorder (ADHD) are at increased risk for several psychiatric and neurodevelopmental disorders. The risk of these disorders among the siblings of probands has not been thoroughly assessed in a population-based cohort.MethodsEvery child born in Finland in 1991–2005 and diagnosed with ADHD in 1995–2011 were identified from national registers. Each case was matched with four controls on sex, place, and date of birth. The full siblings of the cases and controls were born in 1981–2007 and diagnosed in 1981–2013. In total, 7369 cases with 12 565 siblings and 23 181 controls with 42 753 siblings were included in the analyses conducted using generalized estimating equations.Results44.2% of the cases and 22.2% of the controls had at least one sibling diagnosed with any psychiatric or neurodevelopmental disorder (risk ratio, RR = 2.1; 95% CI 2.0–2.2). The strongest associations were demonstrated for childhood-onset disorders including ADHD (RR = 5.7; 95% CI 5.1–6.3), conduct and oppositional disorders (RR = 4.0; 95% CI 3.5–4.5), autism spectrum disorders (RR = 3.9; 95% CI 3.3–4.6), other emotional and social interaction disorders (RR = 2.7; 95% CI 2.4–3.1), learning and coordination disorders (RR = 2.6; 95% CI 2.4–2.8), and intellectual disability (RR = 2.4; 95% CI 2.0–2.8). Also, bipolar disorder, unipolar mood disorders, schizophrenia spectrum disorders, other neurotic and personality disorders, substance abuse disorders, and anxiety disorders occurred at increased frequency among the siblings of cases.ConclusionsThe results offer potential utility for early identification of neurodevelopmental and psychiatric disorders in at-risk siblings of ADHD probands and also argue for more studies on common etiologies.

Abstract P107: Are Sleep Disturbances Associated with the Development of Gestational Diabetes? A Systematic Review and Meta-analysis.

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Michelle A Miller ◽  
Ponnusamy Saravanan ◽  
Manu Vatish ◽  
Francesco P Cappuccio
Keyword(s):  
Gestational Diabetes ◽  
Publication Bias ◽  
Sleep Disturbances ◽  
Sleep Disordered Breathing ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Short Sleep ◽  
Increased Risk ◽  
In Pregnancy ◽  
Disordered Breathing

Introduction and objectives: Physiological and hormonal changes occurring in pregnancy increase the risk of sleep disordered breathing (SDB), which, along with short sleep (SS) duration, may be associated with an increased risk of gestational diabetes mellitus (GDM). Exposure to GDM in the mother increases her lifetime risk of type-2 diabetes (T2D) as well as the risk of obesity, metabolic syndrome and, in later life, T2D of her children. The aim of this study was to systematically review the collective published evidence of associations between snoring/sleep-disordered breathing or sleep duration and increased risk of GDM. Hypothesis: We assessed the hypotheses that sleep disturbances, and/or short sleep during pregnancy may be associated with an increased risk of GDM. Materials and Methods: We performed systematic searches using MEDLINE, EMBASE, the Cochrane library and PsycINFO to assess the effect of snoring/sleep disordered breathing (SDB) or short sleep (SS) on the development of gestational diabetes (GDM) and impaired glucose tolerance in pregnancy. Prospective studies with measures of sleep disturbances at baseline and outcome measures of GDM or levels of glucose 1hr post GCT were included in a meta-analysis. We extracted odds ratios (OR) or relative risks (RR) and 95% confidence intervals (CI) and pooled them using a random effect model. Results: Overall, 7 studies met the inclusion criteria. They included 4,292 participants with 311 cases of GDM. In the pooled analysis, snoring/SDB and SS were both associated with a greater risk of GDM (RR: 2·27; 95% CI 1·65 to 3·12; P < 0· 00001) and (3·19 [1·56 to 6·54]; P < 0·002), respectively. There was no evidence of heterogeneity but there was evidence of publication bias and not all studies adjusted for obesity. Sensitivity analyses did not influence the pooled risk estimates. Conclusions: In conclusion, sleep disturbances may represent a risk factor for the development of GDM. Further studies are required to address the issues of publication bias and potential confounding, and to extend these observations to high-risk groups like women of ethnic minority groups whose risk of GDM is the greatest. Prevention, detection and treatment strategies need to be explored.

Obstetric oxytocin exposure and ADHD and ASD among Danish and Finnish children

2020 ◽  
Author(s):  
Lonny Stokholm ◽  
Mette Juhl ◽  
Nicole M Talge ◽  
Mika Gissler ◽  
Carsten Obel ◽  
...  
Keyword(s):  
Population Based ◽  
Autism Spectrum ◽  
Labour Induction ◽  
Prenatally Exposed ◽  
Hyperactivity Disorder ◽  
Diagnostic Codes ◽  
Increased Risk ◽  
Specific Association ◽  
And Gender ◽  
Confounder Adjustment

Abstract Background Some studies have indicated an increased risk of attention deficit hyperactivity disorder (ADHD) and a small, sex-specific association with autism spectrum disorder (ASD) among children prenatally exposed to obstetric oxytocin. Since oxytocin is widely used in the obstetric ward, these potentially deleterious effects are of concern. Thus, we aimed to examine whether obstetric oxytocin treatment for labour induction or augmentation is associated with ADHD and ASD in offspring born in a two-country design based on data from Denmark and Finland. Methods This population-based study used data from national registers in Denmark and Finland. Singletons born in Denmark 2000–10 (n = 577 380) and Finland 1991–2010 (n = 945 543), who survived infancy, were followed until 31 December 2015. ADHD and ASD were defined using diagnostic codes. For ADHD, we also included information on prescribed and redeemed ADHD medication in the definition. Hazards ratios (HRs) with 95% confidence intervals (CI), modelled with age as the underlying time scale, were calculated to estimate the associations. Results Oxytocin was used in 31% and 46% of the included deliveries in Denmark and Finland, respectively. In crude analyses, prenatal oxytocin was associated with an approximately 20% increased risk of ADHD and ASD, but confounder adjustment attenuated the association. The adjusted HR was 1.03, 95% CI 1.01–1.05, for ADHD and 1.05, 95% CI 1.02–1.08, for ASD. The results were similar in across country and gender. Conclusions We found an association between synthetic oxytocin and ADHD or ASD which is unlikely to reflect a causal association and thus should not support the concern of clinical use. Our results help to allay concerns of obstetric use of oxytocin causing ADHD or ASD.

scholarly journals Association of maternal diabetes with neurodevelopmental disorders: autism spectrum disorders, attention-deficit/hyperactivity disorder and intellectual disability

2020 ◽  
Author(s):  
Shuyun Chen ◽  
Sixian Zhao ◽  
Christina Dalman ◽  
Håkan Karlsson ◽  
Renee Gardner
Keyword(s):  
Diabetes Mellitus ◽  
Attention Deficit Hyperactivity Disorder ◽  
Autism Spectrum Disorders ◽  
Intellectual Disability ◽  
Attention Deficit ◽  
Neurodevelopmental Disorders ◽  
Maternal Diabetes ◽  
Autism Spectrum ◽  
Hyperactivity Disorder ◽  
Spectrum Disorders

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.

scholarly journals Prenatal maternal stress and risk of neurodevelopmental disorders in the offspring: A systematic review and meta-analysis protocol

2018 ◽  
Vol 1 ◽  
pp. 15
Author(s):  
Nicla Manzari ◽  
Karen Matvienko-Sikar ◽  
Franco Baldoni ◽  
Gerard W. O'Keeffe ◽  
Ali S. Khashan
Keyword(s):  
Systematic Review ◽  
Maternal Stress ◽  
Data Extraction ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Prenatal Maternal Stress ◽  
Cross Sectional ◽  
Increased Risk ◽  
Meta Analyses ◽  
The Impact

Background: Prenatal maternal stress (PNMS) is defined as the experience of significant levels of prenatal stress, depression or anxiety during pregnancy. PNMS has been associated with increased risk of autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) in exposed offspring. However, these findings are inconsistent and other studies found no association, meaning a clear consensus on the impact of PNMS on ASD and ADHD risk is required. The purpose of this systematic review and meta-analysis is to summarize and critically review the existing literature on the effects of PNMS on ASD and ADHD risk. Methods: Electronic databases (PubMed, PsycINFO, Web of Science, Scopus and EMBASE) will be searched for articles following a detailed search strategy. We will include cohort, case-control and cross-sectional studies that assessed maternal exposure to psychological and/or environmental stress and had ASD or ADHD as an outcome. Two reviewers will independently screen the titles, abstracts and full articles to identify eligible studies. We will use a standardised data extraction form for extracting data and a bias classification tool for assessing study quality. This systematic review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). The generic inverse variance method will be used if possible to perform meta-analyses. Ethics and dissemination: Ethical approval is not required for this study because it will not involve the conduct or inclusion of any experimental or personal data that would require informed consent.  The systematic review will be disseminated in peer-reviewed journals. PROSPERO registration number: CRD42018084222.

scholarly journals Prenatal maternal stress and risk of neurodevelopmental disorders in the offspring: A systematic review and meta-analysis protocol

2019 ◽  
Vol 1 ◽  
pp. 15 ◽  
Author(s):  
Nicla Manzari ◽  
Karen Matvienko-Sikar ◽  
Franco Baldoni ◽  
Gerard W. O'Keeffe ◽  
Ali S. Khashan
Keyword(s):  
Systematic Review ◽  
Maternal Stress ◽  
Data Extraction ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Prenatal Maternal Stress ◽  
Case Control Studies ◽  
Increased Risk ◽  
Meta Analyses ◽  
The Impact

Background: Prenatal maternal stress (PNMS) is defined as the experience of significant levels of prenatal stress, depression or anxiety during pregnancy. PNMS has been associated with increased risk of autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) in exposed offspring. However, these findings are inconsistent and other studies found no association, meaning a clear consensus on the impact of PNMS on ASD and ADHD risk is required. The purpose of this systematic review and meta-analysis is to summarize and critically review the existing literature on the effects of PNMS on ASD and ADHD risk. Methods: Electronic databases (PubMed, PsycINFO, Web of Science, Scopus and EMBASE) will be searched for articles following a detailed search strategy. We will include cohort and case-control studies that assessed maternal exposure to psychological and/or environmental stress and had ASD or ADHD as an outcome. Two reviewers will independently screen the titles, abstracts and full articles to identify eligible studies. We will use a standardised data extraction form for extracting data and a bias classification tool for assessing study quality. This systematic review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). The generic inverse variance method will be used if possible to perform meta-analyses. Ethics and dissemination: Ethical approval is not required for this study because it will not involve the conduct or inclusion of any experimental or personal data that would require informed consent.  The systematic review will be disseminated in peer-reviewed journals. PROSPERO registration number: CRD42018084222.

scholarly journals Hypertensive disorders of pregnancy and risk of neurodevelopmental disorders in the offspring: a systematic review and meta-analysis protocol

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e018313 ◽  
Author(s):  
Gillian M Maher ◽  
Gerard W O’Keeffe ◽  
Louise C Kenny ◽  
Patricia M Kearney ◽  
Ted G Dinan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Neurodevelopmental Disorders ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Chronic Hypertension ◽  
Hypertensive Disorders Of Pregnancy ◽  
Hypertensive Disorders ◽  
Increased Risk ◽  
Meta Analyses ◽  
The Impact

IntroductionHypertensive disorders of pregnancy (HDPs), that is chronic hypertension, gestational hypertension, pre-eclampsia (de novo or superimposed on chronic hypertension) and white coat hypertension, affect approximately 5%–15% of pregnancies. HDP exposure has been linked to an increased risk of autism spectrum disorder, attention deficit/hyperactivity disorder and other neurodevelopmental disorders in children. However, findings are inconsistent, and a clear consensus on the impact of HDPs on the risk of neurodevelopmental disorders is needed. Therefore, we aim to synthesise the published literature on the relationship between HDPs and the risk of neurodevelopmental disorders in the form of a systematic review and meta-analysis.Methods and analysisWe will include cohort, case–control and cross-sectional studies in which diagnosis of an HDP was reported, and neurodevelopmental disorders were the outcome of interest based on a preprepared protocol. A systematic search of PubMed, CINAHL, Embase, PsycINFO and Web of Science will be conducted in accordance with a detailed search strategy. Two authors will independently review the titles and abstracts of all studies, perform data extraction using a standardised data collection form and assess study quality using a bias classification tool. Meta-analyses will be performed to calculate overall pooled estimates using the generic inverse variance method. This systematic review will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, therefore, does not require ethics approval. Findings will be presented at scientific conferences and disseminated through publication in a peer-reviewed journal.RegistrationCRD42017068258.

scholarly journals Reducing weight and BMI following gestational diabetes: a systematic review and meta-analysis of digital and telemedicine interventions

2021 ◽  
Vol 9 (1) ◽  
pp. e002077
Author(s):  
Julia Halligan ◽  
Maxine E Whelan ◽  
Nia Roberts ◽  
Andrew J Farmer
Keyword(s):  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Data Extraction ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Point Estimate ◽  
Diabetes Incidence ◽  
The Impact ◽  
Digital Or

Women with past gestational diabetes mellitus (GDM) are at risk of subsequent type 2 diabetes and adverse cardiovascular events. Digital and telemedicine interventions targeting weight loss and reductions in body mass index (BMI) may help reduce risk for women with GDM. The aim was to compare the effectiveness of digital or telemedicine intervention with usual care. Randomized controlled trials (RCTs) were identified in Embase, Medline, CINAHL, PsycINFO and the Cochrane Library. Included trials recruited women with prior GDM but without pre-existing diabetes, and tested a digital or telemedicine intervention with or without an in-person component. Data extraction was carried out independently by two authors. The search yielded 898 citations. Eighteen articles reporting 15 trials were included, of which 8 tested digital interventions. Reported outcomes included weight, BMI, fasting plasma glucose and waist circumference. None of the included trials reported type 2 diabetes incidence or cardiovascular risk. Data were pooled using a random-effects model. The point estimate favored the intervention but was non-significant for both BMI (−0.90 kg/m2, 95% CI −1.89 to 0.09; p=0.08) and weight (−1.83 kg, 95% CI −4.08 to 0.42, p=0.11). Trials evaluating digital and telemedicine interventions identified clinically relevant, but non-significant improvements in BMI and weight compared with control. No trials assessed type 2 diabetes occurrence as an outcome. More well-designed RCTs with adequate power and long-term follow-up are needed to identify the impact of these interventions on type 2 diabetes occurrence.

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