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This study examined associations between paternal, maternal, and dual-parental attention deficit hyperactivity disorder (ADHD) symptoms and child socioemotional functioning over the first two years of life, combined and separated by child sex. The sample included mothers (N = 3,207) and fathers (N = 3,211) from a prospective cohort in Canada. Parents completed the Adult ADHD Self-Report Scale within two weeks of childbirth. Children’s socioemotional functioning was assessed using the ASQ-SE at 6 months and the BITSEA at 12, 18, and 24 months. Paternal and maternal ADHD symptoms were associated with problems in child socioemotional development in the first two years of life, with significant differences based on parent and child sex. Paternal ADHD symptoms were associated with more socioemotional difficulties in boys (aOR 1.68, 95% CI 1.13–2.51) and fewer socioemotional difficulties in girls, while maternal ADHD symptoms were associated with more socioemotional problems in girls (aOR 2.09, 95% CI 1.24–3.52) and the entire sample, including both boys and girls, between 12 and 24 months. Dual-parental ADHD symptoms had the largest effect on socioemotional development (OR 4.43, 95% CI 1.14–17.16). Our findings provide evidence that exposure to paternal and maternal ADHD symptoms, especially when both parents exhibit symptoms, is associated with worse socioemotional outcomes during early childhood.
It is well established that there is a substantial genetic component to eating disorders (EDs). Polygenic risk scores (PRSs) can be used to quantify cumulative genetic risk for a trait at an individual level. Recent studies suggest PRSs for anorexia nervosa (AN) may also predict risk for other disordered eating behaviors, but no study has examined if PRS for AN can predict disordered eating as a global continuous measure. This study aimed to investigate whether PRS for AN predicted overall levels of disordered eating, or specific lifetime disordered eating behaviors, in an Australian adolescent female population.
Methods
PRSs were calculated based on summary statistics from the largest Psychiatric Genomics Consortium AN genome-wide association study to date. Analyses were performed using genome-wide complex trait analysis to test the associations between AN PRS and disordered eating global scores, avoidance of eating, objective bulimic episodes, self-induced vomiting, and driven exercise in a sample of Australian adolescent female twins recruited from the Australian Twin Registry (N = 383).
Results
After applying the false-discovery rate correction, the AN PRS was significantly associated with all disordered eating outcomes.
Conclusions
Findings suggest shared genetic etiology across disordered eating presentations and provide insight into the utility of AN PRS for predicting disordered eating behaviors in the general population. In the future, PRSs for EDs may have clinical utility in early disordered eating risk identification, prevention, and intervention.
In the face of a rapidly emerging pandemic, there needs to be a concerted and organized response so that the pandemic can be stopped or slowed and patients can be accurately diagnosed and treated. As we learned with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there was no prescribed roadmap to follow, leaving scientists and clinicians to plan and respond in real time. Although the efforts were heroic in nature, some decisions (if they could be made again) would have been different. In this chapter, we address the lessons learned from the individuals who were on the battlefield in their area of expertise as they chartered their own path. We capture and record the activities that took place so that, going forward, there will be an extensive pandemic response roadmap indicating the activities of this pandemic (including their chronology and duration) for future generations to use as a guiding document to build upon.
Those who responded to the COVID-19 pandemic have now had the opportunity to reflect on lessons learned, and in this science and data-rich book, those reflections are presented as a behind-the-scenes chronology of events and discoveries that occurred in COVID-19's wake. Offering a rubric for a future pandemic response, each chapter is written by experts, with their unique perspectives, experience, and learnings woven into visual roadmaps throughout the book. These roadmaps serve as a scaffolding upon which future healthcare leaders can build when creating, implementing and executing operational strategies in the face of future infectious disease outbreaks. Written for both lay and scientific audiences and featuring case studies which give clinical insight into the unique bond between COVID patients, their loved ones and their healthcare providers, this important book allows readers to leverage the knowledge of experts to improve the outcomes of future pandemics.
Emotion regulation and functioning have well established links to substance use in adolescents. Yet limited research has investigated emotion regulation in very early substance initiators either on self-report or on behavioral measures (i.e., Emotional Stroop). Similarly, there are few prospective investigations of emotional functioning as a predictor of initiation. Given concerns of emotion difficulties preceding and predicting substance use onset, we aim to investigate emotional functioning difficulties in very early (ages 9–13) substance use initiators relative to sociodemographically matched controls, both after initiation and as a predictor of initiation. We hypothesize that initiators would demonstrate greater emotion dysregulation and decreased emotional functioning relative to controls.
Participants and Methods:
ABCD Study Annual Release 4.0 was used. Participants included those who had data available at Y3 follow-up visit and youth-reported use of any full dose of a substance (n=148). Sociodemographic controls were then matched (n=148). General linear mixed effects models were run to assess emotional functioning at Y3 (Emotional Stroop response time and accuracy performance, youth-reported Emotion Regulation Questionnaire, and parent-reported Difficulties in Emotion Regulation Scale and Child Behavior Checklist externalizing and internalizing symptoms) by substance use group status controlling for random effects of family. Further, hierarchical linear models assessed CBCL emotional functioning from Y0 to Y3 predicting SU initiation at Y3, controlling for within-subject change.
Results:
At Y3, early substance use initiation predicted higher parent-reported externalizing symptoms significantly (estimate=5.88, p<.001). Substance use initiation also marginally predicted high parent-reported internalizing symptoms (estimate=2.29, p=.08) and DERS (estimate=0.02, p=.07). ERQ and Stroop performance were not significantly associated with group status (p's>.10). For externalizing symptoms predicting SU initiation, regardless of year (baseline through Y3) was significantly predictive of initiation (p's<.001). HLM demonstrated that externalizing symptoms at all time points resulted in the best predictive model (AIC=392.85, BIC=422.80, relative to models including all data through Y2, AIC=433.63, BIC=458.59).
Conclusions:
Here we found externalizing symptoms and, to a lesser extent, internalizing symptoms and emotion dysregulation are associated with early substance use initiation. However, results are limited to parent report, despite the consideration of youth-report and a behavioral measure of emotion regulation, the Emotional Stroop task. Further, while marginal effects were found, downstream externalizing symptoms were a better predictor of later substance use initiation. While other metrics of emotion regulation have been linked to substance use in adolescence, emotion regulation abilities may change as a result of substance use, rather than a predictor of use, and thus needs monitoring over time.
Emergency departments are high-risk settings for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) surface contamination. Environmental surface samples were obtained in rooms with patients suspected of having COVID-19 who did or did not undergo aerosol-generating procedures (AGPs). SARS-CoV-2 RNA surface contamination was most frequent in rooms occupied by coronavirus disease 2019 (COVID-19) patients who received no AGPs.
To identify latent trajectories of IQ over time after pediatric traumatic brain injury (TBI) and examine the predictive value of risk factors within and across recovery trajectories.
Method:
206 children ages 3–7 years at injury were included: 87 TBI (23 severe, 21 moderate, 43 complicated mild) and 119 orthopedic injury (OI). We administered intelligence tests shortly after injury (1½ months), 12 months, and 6.8 years postinjury. Latent class growth modeling was used to identify latent subgroups. Separate models examined verbal and nonverbal IQ recovery trajectories following TBI versus OI. Variables included: age at injury, sex, race, socioeconomic status, injury severity, quality of the home environment, family functioning, and parenting style.
Results:
Both the TBI and OI analyses yielded different growth models for nonverbal (k = 3) and verbal IQ (k = 3). Although all models resulted in 3 latent classes (below average, average, and aboveaverage performance); trajectory shapes, contributors to class membership, and performance within each class varied by injury group and IQ domain. TBI severity was associated with class membership for nonverbal IQ, with less severe injuries associated with higher IQ scores; however, TBI severity did not influence verbal IQ class membership. Parenting style had a more prominent effect on verbal and nonverbal IQ within the TBI than OI trajectories.
Conclusions:
Findings suggest TBI severity is related to recovery trajectories for nonverbal but not verbal IQ and parenting style has stronger effects on recovery in TBI than OI. Results highlight the importance of parental factors on long-term recovery after TBI.
Avian influenza (AI) is an important disease that has significant implications for animal and human health. High pathogenicity AI (HPAI) has emerged in consecutive seasons within the UK to cause the largest outbreaks recorded. Statutory measures to control outbreaks of AI virus (AIV) at poultry farms involve disposal of all birds on infected premises. Understanding of the timing of incursions into the UK could facilitate decisions on improved responses. During the autumnal migration and wintering period (autumn 2019– spring 2020), three active sampling approaches were trialled for wild bird species considered likely to be involved in captive AI outbreaks with retrospective laboratory testing undertaken to define the presence of AIV.
Faecal sampling of birds (n = 594) caught during routine and responsive mist net sampling failed to detect AIV. Cloacal sampling of hunter-harvested waterfowl (n = 146) detected seven positive samples from three species with the earliest detection on the 17 October 2020. Statutory sampling first detected AIV in wild and captive birds on 3 November 2020. We conclude that hunter sourced sampling of waterfowl presents an opportunity to detect AI within the UK in advance of outbreaks on poultry farms and allow for early intervention measures to protect the national poultry flock.
To examine the impact of early traumatic brain injury (TBI) on effortful control (EC) over time and the relationship of EC and executive functioning (EF) to long-term functional and social outcomes.
Method:
Parents of children (N = 206, ages 3–7) with moderate-to-severe TBI or orthopedic injuries (OIs) rated EC using the Child Behavior Questionnaire at 1 (pre-injury), 6, 12, and 18 months post-injury. Child functioning and social competence were assessed at 7 years post-injury. Mixed models examined the effects of injury, time since injury, and their interaction on EC. General linear models examined the associations of pre-injury EC and EC at 18 months with long-term functional and social outcomes. Models controlled for EF to assess the unique contribution of EC to outcomes.
Results:
Children with severe TBI had significantly lower EC than both the OI and moderate TBI groups at each post-injury time point. Both pre-injury and 18-month EC were associated with long-term outcomes. Among those with low EC at baseline, children with moderate and severe TBI had more functional impairment than those with OI; however, no group differences were noted at high levels of EC. EC had main effects on parent-reported social competence that did not vary by injury type.
Conclusions:
Findings suggest that EC is sensitive to TBI effects and is a unique predictor of functional outcomes, independent of EF. High EC could serve as a protective factor, and as such measures of EC could be used to identify children for more intensive intervention.
A century of study has characterized Plaskett’s Star (HD 47129) as an evolved, massive, short-period, equal mass O+O binary system. The discovery of a magnetic field in the broad-line component by Grunhut et al. (2013) renewed interest in the study of this system and led to its establishment as the most rapidly rotating magnetic O-type star. Grunhut et al. (2021) observed the circular polarization signatures of the magnetic star to exhibit no radial velocity variations while the narrow-line star demonstrates radial velocity variations consistent with the established orbital period. This has raised fundamental questions about the architecture of this system and the nature of the magnetic star which have led to a major shift in our understanding of HD 47129.
Studying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.
Aims
To examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.
Method
Genome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.
Results
Earlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.
Conclusions
AAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.
Studies examining the impact of adolescent and young adult cannabis use on structural outcomes have been heterogeneous. One already-identified moderator is sex, while a novel potential moderator is extent of aerobic fitness. Here, we sought to investigate the associations of cannabis use, sex, and aerobic fitness levels on brain volume. Second, we explored brain–behavior relationships to interpret these findings.
Methods:
Seventy-four adolescents and young adults (36 cannabis users and 38 controls) underwent 3 weeks of monitored cannabis abstinence, aerobic fitness testing, structural neuroimaging, and neuropsychological testing. Linear regressions examined cannabis use and its interaction with sex and aerobic fitness on whole-brain cortical volume and subcortical regions of interests.
Results:
No main-effect differences between cannabis users and nonusers were observed; however, cannabis-by-sex interactions identified differences in frontal, temporal, and paracentral volumes. Female cannabis users generally exhibited greater volume while male users exhibited less volume compared to same-sex controls. Positive associations between aerobic fitness and frontal, parietal, cerebellum, and caudate volumes were observed. Cannabis-by-fitness interaction was linked with left superior temporal volume. Preliminary brain–behavior correlations revealed that abnormal volumes were not advantageous in either male or female cannabis users.
Conclusions:
Aerobic fitness was linked with greater brain volume and sex moderated the effect of cannabis use on volume; preliminary brain–behavior correlations revealed that differences in cannabis users were not linked with advantageous cognitive performance. Implications of sex-specific subtleties and mechanisms of aerobic fitness require large-scale investigation. Furthermore, present findings and prior literature on aerobic exercise warrant examinations of aerobic fitness interventions that aimed at improving neurocognitive health in substance-using youth.