The association between prenatal cannabis use and congenital birth defects in offspring: A cumulative meta-analysis.

OBJECTIVE: To examine the association between prenatal cannabis use and structural birth defects in exposed offspring. METHODS: In line with the preregistered protocol (PROSPERO: CRD42022368623), we systematically searched PubMed/Medline, CINHAL, EMBASE, Web of Science, ProQuest, Psych-Info, and Google Scholar for published articles until 25 January 2024. The methodological quality of the included studies was appraised by the Newcastle-Ottawa Quality Assessment Scale (NOS). A meta-analysis was carried out to report the pooled effect estimates from the included studies. We further performed subgroup, leave-one-out sensitivity, and meta-regression analyses, which increased the robustness of our findings. RESULTS: In this cumulative meta-analysis, thirty-six observational studies, consisting of 18 case-control and 18 cohort studies, with 230, 816 cases of birth defects and 18,049,013 controls (healthy babies) were included in the final analysis. We found that offspring exposed to maternal prenatal cannabis are at greater risks of a wide range of structural birth defects: cardiovascular/heart [OR = 2.35: 95 % CI 1.63 - 3.39], gastrointestinal [OR = 2.42: 95 % CI 1.61 - 3.64], central nervous system [OR = 2.87: 95 % CI 1.51 - 5.46], genitourinary [OR = 2.39: 95 % CI 1.11 - 5.17], and any (unclassified) birth defects [OR = 1.25: 95 % CI 1.12 - 1.41]. CONCLUSION: The findings from the current study suggest that maternal prenatal cannabis exposure is associated with a higher risk of different forms of structural birth defects in offspring. The findings underscore the significance of implementing preventive strategies, including enhanced preconception counselling, to address cannabis use during pregnancy and mitigate the risk of birth defects in offspring.

The effect of maternal prenatal tobacco smoking on offspring academic achievement: A systematic review and meta-analysis.

BACKGROUND: Previous epidemiological studies examining the prospective association between maternal prenatal tobacco smoking and offspring academic achievement have reported conflicting results. Therefore, this systematic review and meta-analysis was conducted to examine the magnitude and consistency of association reported by those studies. METHODS: This systematic review and meta-analysis was guided by the PRISMA protocol. Relevant epidemiological studies on the topic were extracted from four main databases (PubMed/Medline, Embase, PsycINFO, and Scopus). The Newcastle-Ottawa Scale (NOS) was used to appraise the methodological quality of the included studies. We conducted a narrative assessment of the studies that did not report effect estimates. Inverse variance-weighted random effect meta-analysis was used to combine studies reporting effect sizes to estimate pooled adjusted odds ratio with 95% confidence intervals (95% CI). The review was prospectively registered in PROSPERO (CRD42022350901). RESULTS: Nineteen observational studies, published between 1973 and 2021 with a total of 1.25 million study participants were included in the final review. Of these, fifteen studies (79 %) reported reduced academic achievement in offspring exposed to maternal prenatal tobacco smoking. The eight primary studies (sample size = 723,877) included in the meta-analysis together suggested a 49 % higher risk of reduced academic achievement in offspring exposed to maternal prenatal tobacco smoking when compared to non-exposed offspring (Pooled odds ratio = 1.49, 95 % CI:1.17-1.91). CONCLUSION: Our review found a positive association between maternal prenatal tobacco smoking and offspring reduced academic achievement. However, variation in the adjustment of potential confounders and significant heterogeneity across included studies limited more conclusive inference. Mechanistic studies to identify causal pathways and specific academic impacts are needed to inform targeted developmental programs to assist child learning and academic performance.

Impact of low birth weight on academic attainment during adolescence: A comprehensive retrospective cohort study using linked data.

BACKGROUND: This study addresses a critical knowledge gap by exploring the intricate relationship between low birth weight (LBW) and the heightened risk of suboptimal academic achievement during adolescence through a comprehensive retrospective cohort design. METHODS: In this registry-based cohort study, meticulously linked health and curriculum-based test data for individuals born in New South Wales (NSW), Australia, between 2003 and 2005 were employed. Birth weight data were carefully sourced from the NSW perinatal data collection (PDC). The educational performance of offspring was thoroughly evaluated using the National Assessment Program for Literacy and Numeracy (NAPLAN) during grade 9, approximately at 14 years of age. RESULTS: After rigorous adjustments for potential confounders, findings revealed a compelling narrative: LBW adolescents demonstrated an elevated susceptibility to not meeting national minimum standards across all domains, encompassing spelling [OR, 1.59 (95%CI 1.48-1.69)], writing [OR, 1.51 (95%CI 1.41-1.61)], reading [OR, 1.38 (95%CI 1.29-1.48)], and numeracy [OR, 1.52 (95%CI 1.40-1.63)]. Notably, LBW boys exhibited a more pronounced inclination towards diminished academic performance compared to their female counterparts. CONCLUSIONS: This comprehensive retrospective cohort study, based on linked data, unequivocally establishes LBW as significantly associated with an increased vulnerability to substandard educational achievement during adolescence. Particularly robust effects were observed in females across all outcomes. Aimed at investigating whether LBW serves as a predictive factor for later academic difficulties, this study underscores the imperative for the adoption and fortification of preventative and early intervention strategies to curtail the prevalence of LBW-associated academic underachievement in later adolescence.

The effects of pre-eclampsia on social and emotional developmental vulnerability in children at age five in Western Australia: A population data linkage study.

BACKGROUND: It is important to explore factors that may hinder early childhood development in AEDC Emotional Maturity and Social Competence domains as these underpin the foundation for health, well-being, and productivity over the life course. No previous study has examined whether, or to what extent, preeclampsia increases the risk of developmental vulnerability in social and emotional domains in early childhood. METHODS: We conducted a retrospective population-based cohort study on the association between preeclampsia and childhood developmental vulnerability in emotional maturity and social competence domains in children born in Western Australia in 2009, 2012 and 2015. We obtained records of births, developmental anomalies, midwives notifications and hospitalisations. These data were linked to the Australian Early Development Census (AEDC), from which developmental vulnerability in emotional maturity and social competence domains at a median age of 5 years was ascertained. Causal relative risks (RR) were estimated with doubly robust estimation. RESULTS: A total of 64,391 mother-offspring pairs were included in the final analysis. For the whole cohort, approximately 25 % and 23 % of children were classified as developmentally vulnerable or at-risk on AEDC emotional maturity and social competence domains, respectively. Approximately 2.8 % of children were exposed in utero to preeclampsia. Children exposed to preeclampsia were more likely to be classified as developmentally vulnerable or at-risk on the emotional maturity (RR = 1.19, 95%CI:1.11-1.28) and social competence domains (RR = 1.22, 95 % CI:1.13-1.31). CONCLUSION: Children exposed to pre-eclampsia in utero were more likely to be developmentally vulnerable in emotional maturity and social competence domains in this cohort. Our findings provide new insights into the harmful effect of preeclampsia on childhood developmental vulnerability.

Exploring the relationships between pathogen-specific prenatal infections requiring inpatient admission and domains of offspring behaviour at age 5.

BACKGROUND: Research exploring the relationship between prenatal infection and child behavioural outcomes would benefit from further studies utilising full-population samples with the scale to investigate specific infections and to employ robust designs. We tested the association among several common infections requiring inpatient admission during and after pregnancy with a range of childhood behavioural outcomes, to determine whether any negative impact was specific to the period of foetal development. METHODS: The sample included all mother-offspring pairs from the Australian state of New South Wales (NSW) for whom the child commenced their first year of full-time schooling in 2009 (~age 5 years; n = 77,302 offspring), with records linked across four health administrative data sets including the NSW perinatal data collection (PDC), the NSW admitted patient data collection (APDC) and the NSW component of the 2009 Australian Early Development Census (AEDC). Multivariable linear regression was used to test associations between a number of infections requiring inpatient admission during and after pregnancy with a range of teacher assessed behavioural outcomes. RESULTS: Associations specific to the prenatal period were only found for streptococcus A although this would need to be reproduced in external samples given the low prevalence. Otherwise, 12 out of 15 selected infections either showed no association prenatally or also demonstrated associations in the 12 months after pregnancy. For example, prenatal hepatitis C, influenza and urinary E. coli infections were associated with lower scores of several domains of childhood behaviour, but even stronger associations were found when these same maternal infections occurred after pregnancy. CONCLUSIONS: The prenatal infections we tested appeared not to impact childhood behaviour by altering foetal neurodevelopment. Rather, the strong associations we found among infections occurring during and after pregnancy point to either residual socioeconomic/lifestyle factors or a shared familial/genetic liability between infections and behavioural problems.

Maternal Pregnancy and Pre-Pregnancy Weight and Behavioural Outcomes in Children.

Reported associations of pre-pregnancy weight and/or gestational weight gain with offspring behavioural outcomes are inconsistent. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC), this study aimed to examine these associations at five developmental stages between the ages of 3 and 16. Over 6800 mother-offspring pairs at age 3 and 3925 pairs at age 16 were included. Pre-pregnancy underweight was associated with a 22% increased risk of total behavioural difficulties (OR = 1.22, 95% CI 1.02-1.45). In separate analyses using the SDQ subscales, pre-pregnancy underweight was linked to a 37% (OR = 1.37, 95% CI 1.14-1.65) and 33% (OR = 1.33, 95% CI 1.01-1.76) increased risk of emotional symptoms and prosocial behaviour problems over time, respectively. While pre-pregnancy overweight was associated with an 11% (OR = 1.11, 95% CI 1.03-1.20) and 18% (OR = 1.18, 95% CI 1.03-1.36) increased risk of conduct and peer relationship problems, respectively, pregnancy obesity was associated with a 43% increased risk of emotional problems (OR = 1.43, 95% CI 1.16-1.77). We found no evidence of associations between gestational weight gain and child behaviour except for a reduced risk in prosocial behaviour problems (OR = 0.82, 95% CI 0.70-0.96). Our findings provide insights into the link between preconception BMI and child behaviour, underscoring the necessity for further research to validate these associations and elucidate underlying mechanisms.

Prenatal cannabis use and the risk of attention deficit hyperactivity disorder and autism spectrum disorder in offspring: A systematic review and meta-analysis.

BACKGROUND: It is plausible that exposure to cannabis in-utero could be associated with an increased risk of neurodevelopmental disorders such as attention deficit hyperactivity disorder (ADHD) symptoms and autism spectrum disorder (ASD) during childhood and adolescence; however, mixed results have been reported. This study investigated whether there is an association between prenatal cannabis use and ADHD symptoms and ASD in offspring using a systematic review and meta-analysis methodology. METHODS: A systematic literature search was conducted in PubMed/Medline, Scopus, EMBASE, Web of Science, Psych-Info, and Google Scholar to identify relevant studies. The study protocol has been preregistered in the Prospective Register of Systematic Reviews (PROSPERO) (CRD42022345001), and the Newcastle-Ottawa Quality Assessment Scale (NOS) was used to assess the methodological quality of included studies. An inverse variance weighted random effect meta-analysis was conducted to pool the overall effect estimates from the included studies. RESULTS: Fourteen primary studies, consisting of ten on ADHD and four on ASD, with a total of 203,783 participants, were included in this study. Our meta-analysis underscores an increased risk of ADHD symptoms and/or disorder [ß = 0.39: 95 % CI (0.20-0.58), I2 = 66.85 %, P = 0.001)] and ASD [RR = 1.30: 95 % CI (1.03-1.64), I2 = 45.5 %, P = 0.14] associated with in-utero cannabis exposure in offspring compared to their non-exposed counterparts. Additionally, our stratified analysis highlighted an elevated risk of ADHD symptoms [ß = 0.54: 95 % CI (0.26-0.82)] and a marginally significant increase in the risk of diagnostic ADHD among exposed offspring compared to non-exposed counterparts [RR = 1.13, 95 % CI (1.01, 1.26)]. CONCLUSION: This study indicated that maternal prenatal cannabis exposure is associated with a higher risk of ADHD symptoms and ASD in offspring.

Prevalence of attention deficit hyperactivity disorder in adults: Umbrella review of evidence generated across the globe.

BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is a class of neurodevelopmental disorders which is commonly diagnosed in school-age children, but it can occur in any age group. To provide a robust synthesis of published evidence on the prevalence of ADHD in adults, we conducted an umbrella review of systematic reviews and meta-analyses. METHODS: The review was guided by preferred reporting items for systematic review and meta-analysis (PRISMA). We searched PsychINFO, Web of Science, PubMed, and Scopus to retrieve pertinent studies. The review protocol was registered with PROSPERO (CRD42023389704). A Measurement Tool to Assess Systematic Reviews (AMSTAR) was used to assess the quality of the included studies. A random-effects model was used to perform a meta-analysis. RESULTS: Five systematic reviews and meta-analyses (57 unique primary studies) with data on 21,142,129 adult participants were eligible for inclusion in this umbrella review. Inverse variance weighted random effect meta-analysis of these studies indicated that the pooled prevalence of ADHD in adults was 3.10% (95%CI 2.60-3.60%). ADHD-I (the inattentive type of ADHD) remained the commonest type of ADHD, followed by ADHD-HI (the hyperactive type) and ADHD-C (the combined type). CONCLUSION: The results indicate that ADHD is relatively high in adults, with ADHD-I remaining the most common subtype. Attention should be given to preventing, reducing, identifying, and managing ADHD in adults.

Paternal Depression and Risk of Depression Among Offspring: A Systematic Review and Meta-Analysis.

Importance: Existing epidemiological evidence is equivocal as to whether paternal depression poses a consequent risk of depression in offspring; meta-analysis of findings can help inform preventative intervention efforts. Objective: To conduct a systematic review and meta-analysis of observational studies examining the association between paternal and offspring depression. Data Sources: Embase, PubMed, PsycINFO, Scopus, and Web of Science databases were searched between inception and December 2022. Study Selection: The review included all observational studies that investigated the association between paternal and offspring depression and 10 606 studies were initially identified. Data Extraction and Synthesis: This systematic review and meta-analysis was performed following the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines. The review protocol was prospectively registered in PROSPERO. Summary odds ratios (ORs) and 95% CIs were pooled using inverse variance weighted random effect meta-analysis. Subgroup and sensitivity analyses were performed. Main Outcomes and Measures: The main outcome of interest was offspring depression measured using recognized depression assessment tools. Results: Sixteen observational studies published between 2002 and 2021 were included, with a combined sample of 7 153 723 father-child dyads. A meta-analysis of these studies showed that paternal depression was associated with an increased risk of depression in offspring (OR, 1.42; 95% CI, 1.17-1.71). The risk was higher among offspring exposed to paternal depressive disorders (OR, 1.65; 95% CI, 1.28-2.12) than those exposed to depression as defined by a nonclinical symptom scale (OR, 1.12; 95% CI, 1.06-1.19). Sensitivity analysis revealed consistent pooled estimates ranging from 1.35 (95% CI, 1.12-1.62) to 1.45 (95% CI, 1.18-1.78). Conclusions and Relevance: Paternal depression was associated with subsequent offspring depression. This finding shows the intergenerational transmission of mental health problems and suggests that mental health interventions benefit not only the patient but also the family as a whole, including both parents.

The global prevalence of attention deficit hyperactivity disorder in children and adolescents: An umbrella review of meta-analyses.

BACKGROUND: Emerging epidemiological data suggest that hundreds of primary studies have examined the prevalence of ADHD in children and adolescents and dozens of systematic view and meta-analyses studies have been conducted on the subject. The purpose of this umbrella review is to provide a robust synthesis of evidence from these systematic reviews and meta-analyses. METHODS: We systematically searched PubMed, Web of Science, PsychINFO, and Scopus to find pertinent studies. The study was preregistered with PROSPERO (CRD42023389704). The quality of the studies was assessed using a Measurement Tool to Assess Systematic Reviews (AMSTAR). Prevalence estimates from the included studies were pooled using invariance variance weighted random-effect meta-analysis. RESULTS: Thirteen meta-analytic systematic reviews (588 primary studies) with 3,277,590 participants were included in the final analysis. A random effect meta-analysis of these studies showed that the global prevalence of ADHD in children and adolescents was 8.0 % (95%CI 6.0-10 %). The prevalence estimate was twice higher in boys (10 %) compared to girls (5 %). Of the three subtypes of ADHD, the inattentive type of ADHD (ADHD-I) was found to be the most common type of ADHD followed by the hyperactive (ADHD-HI) and the combined types (ADHD-C). CONCLUSION: Findings from our compressive umbrella review suggest that ADHD is highly prevalent in children and adolescents with boys twice more likely to experience the disorder than girls. Our results underpin that priority should be given to preventing, early identifying, and treating ADHD in children and adolescents.

Development and validation of a machine learning-based tool to predict autism among children.

Autism is a lifelong condition for which intervention must occur as early as possible to improve social functioning. Thus, there is great interest in improving our ability to diagnose autism as early as possible. We take a novel approach to this challenge by combining machine learning with maternal and infant health administrative data to construct a prediction model capable of predicting autism disorder (defined as ICD10 84.0) in the general population. The sample included all mother-offspring pairs from the Australian state of New South Wales (NSW) between January 2003 and December 2005 (n = 262,650 offspring), linked across three health administrative data sets including the NSW perinatal data collection (PDC); the NSW admitted patient data collection (APDC) and the NSW mental health ambulatory data collection (MHADC). Our most successful model was able to predict autism disorder with an area under the receiver operating curve of 0.73, with the strongest risk factors for diagnoses found to include offspring gender, maternal age at birth, delivery analgesia, maternal prenatal tobacco disorders, and low 5-min APGAR score. Our findings indicate that the combination of machine learning and routinely collected admin data, with further refinement and increased accuracy than achieved by us, may play a role in the early detection of autism disorders.

Parental depressive symptoms across the first three years of a child's life and emotional and behavioural problem trajectories in children and adolescents.

BACKGROUND: The risk associated with parental perinatal depressive symptoms and the continuum of emotional and behavioural problems in offspring is unclear. This study aimed to investigate the association between maternal and paternal perinatal depressive symptoms and behavioural problem trajectories in offspring aged 3-16 years. METHODS: We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC) in Bristol, Avon, United Kingdom (UK). Parental perinatal depressive symptoms in the first three years of a child's life were measured using the Edinburgh Postnatal Depression Scale (EPDS). Offspring emotional- and behavioural problems were measured using the Strengths and Difficulties Questionnaire (SDQ) when the child was 3.5, 7, 9, 11, and 16 years. A group-based trajectory modelling was used to identify the distinct trajectories of emotional and behavioural problems. Multinomial logistic regression analyses were used to examine associations, and z-scores were calculated to compare maternal and paternal associations. RESULTS: We identified three trajectories of emotional and behavioural problems in offspring between the ages of 3.5 and 16: low, moderate and high symptom trajectories. We found that maternal and paternal antenatal and postnatal depressive symptoms were associated with high levels of emotional and behavioural problem trajectories in offspring. We also found that children exposed to maternal (adjusted RR = 8.11; 95% CI: 5.26-12.48) and paternal (adjusted RR = 2.32; 1.05-5.14) persistent depressive symptoms were more likely to be in high levels of total behavioural problem trajectory group than in the normal trajectory group. The maternal-effect was stronger (p < 0.001). CONCLUSION: Our findings suggest that exposure to parental depressive symptoms were associated with high levels of emotional and behavioural problem trajectories in offspring, with the maternal effect being stronger than the paternal effect.

Average treatment effect of maternal prenatal tobacco smoking on offspring developmental vulnerability in early childhood.

BACKGROUND: Early childhood developmental vulnerability has been closely related to the predictors of relatively good health, social and educational outcomes later in adulthood. However, the impacts of prenatal tobacco exposure on childhood developmental vulnerability have been rarely examined. Further, a few of the studies that have investigated maternal prenatal tobacco smoking and child developmental vulnerability have reported mixed results and there are currently no published estimates derived from causal epidemiological methods. METHODS: We conducted a retrospective population-based cohort study on the association between maternal prenatal tobacco smoking and developmental vulnerability in children born in Western Australia (WA). De-identified individual-level maternal, infant and birth records were obtained from the Midwives Notification System (MNS), a statutory record of all births in WA. WA register for Developmental Anomalies (WARDA) were also obtained from the WA Data Linkage. Records on early childhood developmental vulnerability at the median age of 5 years were obtained from the Australian Early Development Census (AEDC). We used a doubly robust estimator to estimate the causal effects. RESULTS: Complete data were available for 64,558 mothers-children's pairs. Approximately 16% of children were exposed to maternal prenatal tobacco smoking. Children exposed to maternal prenatal tobacco smoking were more likely to be classified as developmentally vulnerable/at-risk on the physical health and wellbeing (RR = 1.40, 95%CI:1.36-1.45), social competence (RR = 1.42, 95%CI: 1.38-1.47), emotional maturity (RR = 1.34, 95%CI:1.30-1.39), language and cognitive skills (RR = 1.50, 95%CI:1.45-1.54), and communication skills and general knowledge (RR = 1.37, 95%CI:1.33-1.42) domains. CONCLUSION: Maternal prenatal exposure to tobacco may influence early childhood developmental vulnerability. Early intervention to quit tobacco smoking before becoming pregnant could potentially reduce later childhood developmental vulnerability on multiple domains.

Association between obstetric mode of delivery and emotional and behavioural problems in children and adolescents: the children of the 90s health study.

PURPOSE: Existing evidence on the relationship between mode of delivery and offspring emotional and behavioural problems, especially in older age groups, is limited and inconsistent. This study aimed to examine the association between obstetric mode of delivery and emotional and behavioural problems in offspring aged 3-16 years. METHODS: The sample for this study comprised participants in the Avon Longitudinal Study of Parents and Children (ALSPAC) in the United Kingdom. The study cohort ranged from 7074 (at 3 years of age) to 4071 (at 16 years of age) mother-offspring pairs. Data on obstetric mode of delivery were abstracted from obstetric records by trained research midwives and classified as spontaneous vaginal delivery, assisted vaginal delivery and caesarean delivery (elective and emergency). Offspring emotional and behavioural problems were measured using the Strengths and Difficulties Questionnaire (SDQ) when the child was 3, 7, 9, 11, and 16 years. Logistic regression analyses were used to examine associations. RESULTS: Assisted vaginal delivery was associated with an increased risk of emotional problems at age 11 years (OR = 1.42; 95% CI 1.11-1.81). No significant associations were observed at ages 3, 7, 9 and 16. We found no evidence of associations between caesarean delivery (elective or emergency) and emotional and behavioural measures in offspring across all age groups. CONCLUSION: Mode of delivery does not appear to be associated with emotional and behavioural problems in children and adolescents. Further research is needed to understand the potential longer-term effects of assisted vaginal deliveries on offspring emotional development.

The effect of prenatal cannabis exposure on offspring preterm birth: a cumulative meta-analysis.

BACKGROUND AND AIMS: Mixed results have been reported on the association between prenatal cannabis exposure and preterm birth. This study aimed to examine the magnitude and consistency of associations reported between prenatal cannabis exposure and preterm birth. METHODS: This review was guided by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. We performed a comprehensive search of the literature on the following electronic databases: PubMed, EMBASE, SCOPUS, Psych-INFO and Web of Science. The revised version of the Newcastle-Ottawa Scale (NOS) was used to appraise the methodological quality of the studies included in this review. Inverse variance weighted random-effects cumulative meta-analysis was undertaken to pool adjusted odds ratios (aOR) after sequential inclusion of each newly published study over time. The OR and 95% confidence interval (CI) limits required (stability threshold) for a new study to move the cumulative odds ratio to the null were also computed. RESULTS: A total of 27 observational studies published between 1986 and 2022 were included in the final cumulative meta-analysis. The sample size of the studies ranged from 304 to 4.83 million births. Prenatal cannabis exposure was associated with an increased risk of preterm birth (pooled aOR = 1.35, 95% CI = 1.24-1.48). The stability threshold was 0.74 (95% CI limit = 0.81) by the end of 2022. CONCLUSIONS: Offspring exposed to maternal prenatal cannabis use was associated with higher risk of preterm birth, which warrants public health messages to avoid such exposure, particularly during pregnancy.

Academic performance in adolescent offspring of mothers with prenatal and perinatal psychiatric hospitalizations: A register-based, data linkage, cohort study.

BACKGROUND: This is the first study to investigate the longitudinal association between prenatal and perinatal psychiatric hospitalizations and academic achievements in adolescent offspring. METHODS: We conducted an administrative health data-based cohort study of 168, 528 mother-offspring pairs using linked data obtained from health and educational registries in New South Wales, Australia. Prenatal and perinatal maternal psychiatric diagnosis was measured by using ICD-10. The National Assessment Program for Literacy and Numeracy (NAPLAN) was used to assess the educational performance of the offspring. Logistic regression model was used to explore the association. Multivariate models were adjusted for maternal sociodemographic characteristics such as age at birth, marital status, educational status, and occupational status, maternal diabetes and chronic hypertension, maternal smoking during pregnancy, birth weight, and language spoken at home. RESULTS: The findings show that after adjusting for important covariates adolescent offspring of mothers with prenatal and perinatal psychiatric hospitalizations were more likely to perform below the national minimum standard in all domains of academic performance at age 14 years, when compared with the offspring of mothers without such hospitalizations, with the highest odds for numeracy (OR = 2.88; 95% CI: 2.50-3.31) followed by reading (OR = 2.08; 95% CI: 1.81-2.38), spelling (OR = 1.74; 95% CI: 1.51-2.01), and writing (OR = 1.56; 95% CI: 1.34-1.80). There was significant gender interaction such that males were more likely to experience lower rates of academic performance than females in all academic domains. Lower academic achievements were observed among offspring of mothers with all major groupings of psychiatric disorders, with a higher risk for severe psychiatric disorders followed by mental disorders due to substance use or medical conditions. CONCLUSION: In sum, maternal prenatal and perinatal psychiatric hospitalizations are associated with lower academic achievements in adolescent offspring, with a stronger effect on the academic performance of male offspring. Early intervention strategies that aim to enhance educational performance in the exposed offspring are needed.

Exploring the utility of synthetic data to extract more value from sensitive health data assets: A focused example in perinatal epidemiology.

BACKGROUND: Privacy, access and security concerns can hinder the availability of health data for research. The use of synthesised data in place of de-identified electronic health records (EHRs) presents an opportunity to conduct research while minimising privacy concerns. OBJECTIVES: To examine whether synthesised data can replicate two prenatal epidemiological associations: between prenatal smoking and lower birthweight, and between prenatal mood disorders and lower birthweight, using data synthesised from de-identified health administrative data collections. METHODS: We generated two synthetic datasets, using parametric and non-parametric data generating methods, and examined the synthetic data for evidence of privacy concerns. Next, univariable and multivariable logistic regression was utilised to estimate the associations in both synthetic datasets, with results then compared to the real data. RESULTS: Both synthesised datasets performed well in identifying the reduction in birthweight associated with prenatal smoking, while the non-parametric data underestimated the reduction in birthweight associated with prenatal mood disorders. Improbable relationships between some variables were identified in the parametric synthesised data, however, these can be addressed with simple rules during data synthesis. No duplicate rows (i.e., exact copies of de-identified data) were found in the parametric data, while only 0.6% of the rows in the non-parametric data were duplicated. CONCLUSIONS: Both synthesised datasets performed well in replicating the statistical properties of the original data while addressing privacy issues. Data synthesis methods provide an opportunity for researchers to utilise health data while managing privacy and security concerns.

Trends of perinatal mental health referrals and psychiatric admissions in Queensland.

BACKGROUND: Perinatal depression is often underdiagnosed; consequently, many women suffer perinatal depression without follow-up care. Screening for depressive symptoms during the perinatal period has been recommended in Australia to increase detection and follow-up of women suffering from depressive symptoms. Screening rates have gradually increased over the last decades in Australia. OBJECTIVE: To explore trends in referrals of women to community mental health services during the perinatal period, and prenatal and postnatal admissions to psychiatric units, among those who gave birth in Queensland between 2009 and 2015. METHOD: Retrospective analyses of data from three linked state-wide administrative data collections. Trend analyses using adjusted Poisson regression models examined 426,242 births. Outcome variables included referrals to specialised mental health services; women admitted with a mood disorder during the second half of their pregnancy and during the first 3 months of the postnatal period; and women admitted with non-affective psychosis disorders during the second half of their pregnancy and during the first 3 months of the postnatal period. RESULTS: We found an increase in mental health referrals during the perinatal period over time (adjusted incidence rate ratio, 1.07; 95% confidence interval, [1.06, 1.08]) and a decrease in admissions with mood disorders during the first 3 months of the postnatal period (adjusted incidence rate ratio, 0.95; 95% confidence interval, [0.94, 0.98]). We did not find any changes in rates of admission for other outcomes. CONCLUSION: Since the introduction of universal screening in Queensland, referrals for mental health care during the perinatal period have increased, while admissions for mood disorders in the first 3 months after delivery decreased.

Interpregnancy interval and the risk of oppositional defiant disorder in offspring.

The study aimed to investigate the association between interpregnancy interval (IPI) and parent-reported oppositional defiant disorder (ODD) in offspring at 7 and 10 years of age. We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC), an ongoing population-based longitudinal study based in Bristol, United Kingdom (UK). Data included in the analysis consisted of more than 3200 mothers and their singleton children. The association between IPI and ODD was determined using a series of log-binomial regression analyses. We found that children of mothers with short IPI (<6 months) were 2.4 times as likely to have a diagnosis of ODD at 7 and 10 years compared to mothers with IPI of 18-23 months (RR = 2.45; 95%CI: 1.24-4.81 and RR = 2.40; 95% CI: 1.08-5.33), respectively. We found no evidence of associations between other IPI categories and risk of ODD in offspring in both age groups. Adjustment for a wide range of confounders, including maternal mental health, and comorbid ADHD did not alter the findings. This study suggests that the risk of ODD is higher among children born following short IPI (<6 months). Future large prospective studies are needed to elucidate the mechanisms explaining this association.