Does mindful parenting mediate the association between maternal anxiety during pregnancy and child behavioral/emotional problems?

Objectives Maternal anxiety during pregnancy is a risk factor for child behavioral/emotional problems. Knowledge about explanatory factors mediating this link is scarce. Maternal anxiety during pregnancy may be an indicator of adverse postnatal environmental conditions, including maternal anxiety and poor parenting, possibly affecting child behavior. This study investigated whether maternal anxiety and mindful parenting in early childhood mediate the association between maternal anxiety during pregnancy and child behavioral/emotional problems. Methods This study was based on a sample of 118 mother-child dyads who participated in a cohort study that followed participants from pregnancy until 4 years after birth. At 21 weeks’ gestation and when the child was 4 years old, mothers completed questionnaires to assess state anxiety (State-Trait Anxiety Inventory) and general anxiety (Symptom Checklist-90 anxiety subscale). At age 4 years, mothers reported mindful parenting (Interpersonal Mindfulness in Parenting Scale) and child behavioral/emotional problems (Child Behavior Checklist). Results Maternal state anxiety during pregnancy was positively associated with child internalizing problems and negatively with mindful parenting. Maternal general anxiety during pregnancy was related with more child internalizing and externalizing problems but not with mindful parenting. The association between maternal state anxiety during pregnancy and child internalizing problems was sequentially mediated via concurrent maternal general anxiety and mindful parenting. Conclusions These findings suggest that maternal anxiety during pregnancy continues into early childhood and, because of this, it subsequently affects child internalizing behavior via poor mindful parenting. Replication studies are needed before developing interventions for tackling maternal anxiety during pregnancy and promoting mindful parenting

Protocol for individual participant data meta-analysis of interventions for post-traumatic stress

Introduction: Several evidence-based treatments are effective for post-traumatic stress disorder (PTSD), yet a substantial proportion of patients do not respond or dropout of treatment. We describe the protocol for a systematic review and individual participant data meta-analysis (IPD-MA) aimed at assessing the effectiveness and adverse effects of psychotherapy and pharmacotherapy interventions for treating PTSD. Additionally, we seek to examine moderators and predictors of treatment outcomes. Method and analysis: This IPD-MA includes randomised controlled trials comparing psychotherapy and pharmacotherapy interventions for PTSD. PubMed, Embase, PsycINFO, PTSDpubs and CENTRAL will be screened up till the 11th of January 2021. The target population is adults with above-threshold baseline PTSD symptoms on any standardised self-report measure. Trials will only be eligible if at least 70% of the study sample have been diagnosed with PTSD by means of a structured clinical interview. The primary outcomes of this IPD-MA are PTSD symptom severity, and response rate. Secondary outcomes include treatment dropout and adverse effects. Two independent reviewers will screen major bibliographic databases and past reviews. Authors will be contacted to contribute their participant-level datasets. Datasets will be merged into a master dataset. A one-stage IPD-MA will be conducted focusing on the effects of psychological and pharmacological interventions on PTSD symptom severity, response rate, treatment dropout and adverse effects. Subsequent analyses will focus on examining the effect of moderators and predictors of treatment outcomes. These will include sociodemographic, treatment-related, symptom-related, resilience, intervention, trauma and combat-related characteristics. By determining the individual factors that influence the effectiveness of specific PTSD treatments, we will gain insight into personalised treatment options for PTSD. Ethics and dissemination: Specific ethics approval for an IPD-MA is not required as this study entails secondary analysis of existing anonymised data. The results of this study will be published in peer-reviewed scientific journals and presentations

Quantum circuit approximations and entanglement renormalization for the Dirac field in 1+1 dimensions

The multiscale entanglement renormalization ansatz describes quantum many-body states by a hierarchical entanglement structure organized by length scale. Numerically, it has been demonstrated to capture critical lattice models and the data of the corresponding conformal field theories with high accuracy. However, a rigorous understanding of its success and precise relation to the continuum is still lacking. To address this challenge, we provide an explicit construction of entanglement-renormalization quantum circuits that rigorously approximate correlation functions of the massless Dirac conformal field theory. We directly target the continuum theory: discreteness is introduced by our choice of how to probe the system, not by any underlying short-distance lattice regulator. To achieve this, we use multiresolution analysis from wavelet theory to obtain an approximation scheme and to implement entanglement renormalization in a natural way. This could be a starting point for constructing quantum circuit approximations for more general conformal field theories

A posteriori error analysis and adaptive non-intrusive numerical schemes for systems of random conservation laws

In this article we consider one-dimensional random systems of hyperbolic conservation laws. We first establish existence and uniqueness of random entropy admissible solutions for initial value problems of conservation laws which involve random initial data and random flux functions. Based on these results we present an a posteriori error analysis for a numerical approximation of the random entropy admissible solution. For the stochastic discretization, we consider a non-intrusive approach, the Stochastic Collocation method. The spatio-temporal discretization relies on the Runge--Kutta Discontinuous Galerkin method. We derive the a posteriori estimator using continuous reconstructions of the discrete solution. Combined with the relative entropy stability framework this yields computable error bounds for the entire space-stochastic discretization error. The estimator admits a splitting into a stochastic and a deterministic (space-time) part, allowing for a novel residual-based space-stochastic adaptive mesh refinement algorithm. We conclude with various numerical examples investigating the scaling properties of the residuals and illustrating the efficiency of the proposed adaptive algorithm

The effect of offering a third-trimester routine ultrasound on pregnancy-specific anxiety and mother-to-infant bonding in low-risk women : a pragmatic cluster-randomized controlled trial

Background: Third-trimester routine ultrasounds are increasingly offered to monitor fetal growth. In addition to limited evidence for its clinical effectiveness, little is known about its importance for pregnancy-specific anxiety and mother-to-infant bonding. Methods: 1275 low-risk women participated in a Dutch nationwide pragmatic cluster-randomized trial and answered questionnaires on pregnancy-specific anxiety (PRAQ-R) and prenatal mother-to-infant bonding (MAAS) before and after a third-trimester routine ultrasound was offered to the intervention group. Linear mixed model regression analyses were performed to examine the effect of offering a third-trimester routine ultrasound on pregnancy-specific anxiety and mother-to-infant bonding. In addition, we examined whether the effect depended on maternal background characteristics and level of satisfaction with the ultrasound procedure. Results: We found no effect of offering a third-trimester routine ultrasound on pregnancy-specific anxiety and mother-to-infant bonding. However, interaction analyses showed that women with high levels of depressive symptoms at baseline and women who were very satisfied with the ultrasound procedure benefited somewhat more from offering a third-trimester routine ultrasound in terms of mother-to-infant bonding compared with women with low or no depressive symptoms, or less satisfied women. Conclusions: The relationship between offering a third-trimester routine ultrasound with pregnancy-specific anxiety and mother-to-infant bonding is limited. A beneficial effect only applies to some subgroups of women. This implies that, in terms of psychological outcomes, there are no counterarguments to implementing a third-trimester routine ultrasound. Strong evidence for offering all pregnant women a third-trimester routine ultrasound for psychological reasons, however, is lacking

Epidemiological study air disaster in Amsterdam (ESADA): study design

BACKGROUND: In 1992, a cargo aircraft crashed into apartment buildings in Amsterdam, killing 43 victims and destroying 266 apartments. In the aftermath there were speculations about the cause of the crash, potential exposures to hazardous materials due to the disaster and the health consequences. Starting in 2000, the Epidemiological Study Air Disaster in Amsterdam (ESADA) aimed to assess the long-term health effects of occupational exposure to this disaster on professional assistance workers. METHODS/DESIGN: Epidemiological study among all the exposed professional fire-fighters and police officers who performed disaster-related task(s), and hangar workers who sorted the wreckage of the aircraft, as well as reference groups of their non-exposed colleagues who did not perform any disaster-related tasks. The study took place, on average, 8.5 years after the disaster. Questionnaires were used to assess details on occupational exposure to the disaster. Health measures comprised laboratory assessments in urine, blood and saliva, as well as self-reported current health measures, including health-related quality of life, and various physical and psychological symptoms. DISCUSSION: In this paper we describe and discuss the design of the ESADA. The ESADA will provide additional scientific knowledge on the long-term health effects of technological disasters on professional workers

Active animal health surveillance in European Union Member States: gaps and opportunities

Animal health surveillance enables the detection and control of animal diseases including zoonoses. Under the EU-FP7 project RISKSUR, a survey was conducted in 11 EU Member States and Switzerland to describe active surveillance components in 2011 managed by the public or private sector and identify gaps and opportunities. Information was collected about hazard, target population, geographical focus, legal obligation, management, surveillance design, risk-based sampling, and multi-hazard surveillance. Two countries were excluded due to incompleteness of data. Most of the 664 components targeted cattle (26·7%), pigs (17·5%) or poultry (16·0%). The most common surveillance objectives were demonstrating freedom from disease (43·8%) and case detection (26·8%). Over half of components applied risk-based sampling (57·1%), but mainly focused on a single population stratum (targeted risk-based) rather than differentiating between risk levels of different strata (stratified risk-based). About a third of components were multi-hazard (37·3%). Both risk-based sampling and multi-hazard surveillance were used more frequently in privately funded components. The study identified several gaps (e.g. lack of systematic documentation, inconsistent application of terminology) and opportunities (e.g. stratified risk-based sampling). The greater flexibility provided by the new EU Animal Health Law means that systematic evaluation of surveillance alternatives will be required to optimize cost-effectiveness

Mediating role of C-reactive protein in associations between pre-pregnancy BMI and adverse maternal and neonatal outcomes: the ABCD-study cohort

Objectives: Increased body mass index (BMI) is associated with several adverse pregnancy outcomes, though the underlying mechanism of this association has not been fully elucidated. A mediating role of low-grade systemic inflammation in these associations is suspected but has been understudied. Our objective was to examine the effect of pre-pregnancy BMI (pBMI) on maternal and neonatal pregnancy outcomes and to explore potential mediation of these effects by C-reactive protein (CRP), a first trimester peripheral marker of inflammation. Methods: Data from the prospective community-based ABCD-study cohort (n = 3547) was used to assess associations between self-reported continuous and categorized pBMI and outcome measures gestational hypertension (GH) and preeclampsia (PE), preterm birth (PTB) and small for gestational age (SGA) based on national perinatal registration linkage data. High-sensitivity CRP concentrations determined in serum were used to explore potential mediation of these associations by inflammation. Results: Multivariable logistic regression analyses, adjusted for confounders, showed that pBMI was significantly related to gestational hypertensive disorders (odds ratio (OR) per standard deviation (SD) 1.66, 95% confidence interval (CI) 1.51–1.83) and PTB (OR 1.20, 95% CI 1.05–1.37). Dose–response relationships between categorical pBMI and gestational hypertensive disorders (overweight OR 2.37, 95% CI 1.85–3.03 and obese OR 4.45, 95% CI 2.93–6.72) and PTB (obese OR 2.12, 95% CI 1.16–3.87) were found as well. SGA was only significantly more prevalent in the underweight BMI category (OR 2.06, 95% CI 1.33–3.19). Mediation analyses revealed small but significant indirect effects of pBMI on overall PTB (0.037, bootstrapped 95% CI 0.005–0.065) and spontaneous PTB (0.038, bootstrapped 95% CI 0.002–0.069) through higher CRP. CRP was not a significant mediator of associations between BMI and gestational hypertensive disorders although larger mediation was found for GH than for PE. Conclusion: Our findings provide additional evidence that high(er) pBMI increases the risk of adverse maternal and neonatal outcomes and that systemic inflammation mediates some of these risks. Further research in large cohorts including (morbidly) obese women is warranted to identify pathways that may be incorporated in future interventions to reduce the risk of adverse pregnancy outcomes due to maternal obesity