Background: Exposure to maternal mental illness during foetal development may lead to altered development, resulting in permanent changes in offspring functioning.
Aims: To assess whether there is an association between prenatal maternal psychiatric disorders and offspring behavioural problems in early childhood, using linked health administrative data and the Australian Early Development Census from New South Wales, Australia.
Method: The sample included all mother-child pairs of children who commenced full-time school in 2009 in New South Wales, and met the inclusion criteria ( = 69 165).
Background: This study aims to examine the relationship between maternal antenatal and postnatal depressive disorders and the risk of disruptive behavioural disorders (DBDs) in offspring, including conduct disorder (CD) and oppositional defiant disorder (ODD).
Methods: We utilised a large administrative health dataset from New South Wales (NSW), Australia. Maternal perinatal depressive disorders and offspring DBDs were identified using International Classification of Diseases (ICD-10) codes.
Background: Evidence indicates that criminal behaviour in youth is linked with a range of negative physical, mental, and social health consequences. Despite a global decrease over the last 30 years, youth crime remains prevalent. Identifying and mapping the most robust risk and protective factors, and intervention strategies for youth crime could offer important keys for predicting future offense outcomes and assist in developing effective preventive and early intervention strategies.
View Article and Find Full Text PDFBackground: The existing epidemiological evidence on the link between maternal depression and the risk of attention deficit and hyperactivity disorder (ADHD) symptoms in children lacks consistency. This systematic review and meta-analysis aimed to comprehensively synthesise the existing evidence on the relationship between maternal depression during the antenatal and postnatal periods and the risk of ADHD symptoms in offspring.
Methods: We systematically searched PubMed, Medline, Embase, Scopus, CINAHL, and PsychINFO to identify relevant articles.
Background: While the physical health consequence of short interpregnancy intervals (IPIs) is well documented, its mental health impact is not well explored. This study aimed to examine the associations between IPIs and behavioural outcomes in children born following the interval at four developmental time points between ages 7 and 16.
Methods: Our study sample comprised participants in the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort, an ongoing population-based longitudinal birth cohort in Bristol, Avon, United Kingdom.
J Paediatr Child Health
November 2024
Aims: To identify a subgroup of mothers at high risk of preterm delivery, defined by empirical classes of multimorbidity and recurrence across three consecutive births.
Methods: The data were extracted from the perinatal data collection (PDC) of all inpatient live births (n = 435 912) occurring in the Australian state of Queensland between January 2009 and December 2015. Within this data, a total of 7714 primiparous mothers delivered three consecutive singleton live births (total births = 23 142), and comprise the sample for all analyses.
Maternal adiposity (overweight or obesity) has been associated with adverse perinatal outcomes, although the potential risks of long-term neuropsychiatric and behavioral outcomes in the offspring remain unclear. Using the PRISMA guidelines, we searched PubMed, EMBASE, Scopus, and Web of Science to identify studies on maternal adiposity and offspring neuropsychiatric outcomes. Inverse variance-weighted random-effects meta-analyses were used to pool effect estimates with 95 % confidence intervals (95 % CIs) from adjusted odds ratios (OR) and hazard ratios (HR).
View Article and Find Full Text PDFIntroduction: Several systematic reviews and meta-analyses have been conducted on the risk and protective factors of youth crime. This study aims to consolidate this evidence using an umbrella review methodology.
Methods: A systematic electronic search was conducted using multiple electronic databases.
This study aimed to investigate the association between pre-pregnancy, prenatal and perinatal exposures to cannabis use disorder (CUD) and the risk of autism spectrum disoder (ASD) in offspring. Data were drawn from the New South Wales (NSW) Perinatal Data Collection (PDC), population-based, linked administrative health data encompassing all-live birth cohort from January 2003 to December 2005. This study involved 222 534 mother-offspring pairs.
View Article and Find Full Text PDFObjective: 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).
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).
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).
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.
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.
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.
Behav Sci (Basel)
January 2024
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.
View Article and Find Full Text PDFBackground: 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).
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.
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.
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.
View Article and Find Full Text PDFBackground: 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).
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.
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