Depression is the most common mental disorder in pregnancy. An important risk factor in the development of prenatal depression is lifetime history of abuse. The current review quantitatively synthesized research on the association between history of abuse and prenatal depressive symptoms using a meta-analytic technique. A total of 3322 articles were identified through electronic searches of the following databases: PsycINFO, PubMed, CINAHL, and EMBASE Cochrane Collaboration databases between the years of 1980 and 2016. All were independently screened against the following inclusion criteria: articles reporting on original data that included measures of prenatal depression and abuse. Data were extracted by the first and second authors. Descriptive analyses were conducted using Excel version 15.32, and all analyses involving effect sizes were conducted using comprehensive meta-analysis (CMA) version 3.0. Seventy articles met the inclusion criteria and were included in the meta-analyses. Meta-bias detected no publication bias. Abuse had a significant positive relation with prenatal depressive symptoms, with effect sizes in the moderate range for any abuse ([Formula: see text] = 0.287), physical abuse ([Formula: see text] = 0.271), sexual abuse ([Formula: see text] = 0.259), and emotional abuse ([Formula: see text] = 0.340; Cohen 1969. Statistical power analysis for the behavioral sciences. Academic Press, New York). The meta-analyses found a robust relation between abuse and prenatal depressive symptoms holding across a variety of demographic and study design characteristics. These results reinforce the established association between trauma victimization and subsequent psychopathology, extending current knowledge to specifically address the under-studied area of prenatal depression. These findings highlight the need for women who have survived child or adulthood abuse to receive appropriate referral and psychological treatment to mitigate their risk for prenatal depression.

Virtual reality provides a relatively inexpensive way to learn and repeatedly practice skills in personalized, controlled, and safe computer-generated settings. These systems are increasingly receiving attention as an innovative medium for delivering interventions to children with autism spectrum disorder. Although many virtual reality systems are commercially available and their use is increasing, little is known about the safety and usability of these systems for children with autism spectrum disorder. The aim of this study was a first step in addressing this gap. A convenience sample of 35 children with a diagnosis of autism spectrum disorder participated in an immersive head-mounted display virtual reality experience and a control condition (monitor-displayed video). Levels of anxiety and negative effects experienced were not significantly different between the two conditions. Participants reported significantly enhanced spatial presence (p = 0.003; d = 0.3) and naturalness (p = 0.002; d = 0.47) for the head-mounted display–virtual reality condition, and 74% of participants preferred using head-mounted display–virtual reality over monitor-displayed video. These findings provide preliminary evidence to support the safety and usability of head-mounted display–virtual reality for children with autism spectrum disorder. Future studies are needed to replicate the results in a larger sample, a range of virtual reality experiences, and in the context of long-term exposure. Lay abstract This study investigated the safety and usability of a virtual reality experience for children with autism spectrum disorder in a laboratory setting. In our study, the negative effects of head-mounted display–virtual reality were similar to monitor-displayed video watching. At the same time, the participants indicated that the head-mounted display–virtual reality experience provided improved realism and sense of presence. This study is a first step in understanding the impact of head-mounted display on children with autism spectrum disorder.

The COVID-19 pandemic has led to an increase in screen time for children and families. Traditionally, screen time has been associated with negative physical and mental health outcomes, and children with autism spectrum disorder (ASD) are at increased risk of these outcomes. The primary objectives of this study were to (1) characterize the change in screen time during COVID-19 school closures for children with ASD, and (2) examine the parent perceived impact of screen time on mental health and quality of life of children and their families. Canadian parents and caregivers of children 19 years of age and younger were eligible to participate in an anonymous, online survey study. This survey was available in English, consisted of 28 questions, took ~10-min to complete, and was available for 6 weeks (May 22 through July 6, 2020). The total sample consisted of 414 responses (ASD: n = 127, mean age = 11.7 ± 4.06 years; community sample: n = 287, mean age = 9.4 ± 4.26 years). Seventy-one respondents were missing responses to our primary question and removed from the analyses (final sample n = 344). Compared to the community sample, the ASD group had a significantly higher screen time use before and during the COVID-19 pandemic school closures [weekdays: difference = 1.14 (SE = 0.18), t = 6.56, p < 0.0001; weekends: difference = 1.41 (SE = 0.20), t = 6.93, p < 0.0001]. Mean total screen time during the pandemic was 6.9 h (95% CI 6.49, 7.21) on weekdays and 6.3 h (95% CI 5.91, 6.63) on weekends for the ASD group, and 5.6 h (95% CI 5.28, 5.92) on weekdays and 5.0 h (95% CI 4.70, 5.34) on weekends for the community sample. There was a significant increase in screen time during the COVID-19 pandemic as compared to before the pandemic period in the ASD group [weekdays: mean difference = 3.8 h (95% CI 3.35–4.25), p < 0.0001; weekends: mean difference = 1.5 h (95% CI 1.17–1.92), p < 0.0001]. Gender was a significant predictor of parent perceived mental health and quality of life, with male gender associated with a higher likelihood of negative impact [quality of life (child/family) OR = 1.8 (95% CI 1.1–2.9), corrected p = 0.040; mental health OR = 1.9 (95% CI 1.1–3.1), corrected p = 0.0028]. Parents' most frequently endorsed emotions toward screen time were guilt, frustration, and worry. Results of this survey study revealed that children with ASD were less likely to benefit from screen time to cope with social isolation, and screen time resulted in significantly more lost time on social interactions than the community sample, which may exacerbate difficulties in social domains. Given the unprecedented circumstances of the COVID-19 pandemic and the novel context of technology use, the findings of this study highlight the need for revision of screen time recommendations to reflect the current needs of children and families.

Social communication differences are seen in autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and obsessive–compulsive disorder (OCD), but the brain mechanisms contributing to these differences remain largely unknown. To address this gap, we used a data-driven and diagnosis-agnostic approach to discover brain correlates of social communication differences in ASD, ADHD, and OCD, and subgroups of individuals who share similar patterns of brain-behavior associations. A machine learning pipeline (regression clustering) was used to discover the pattern of association between structural brain measures (volume, surface area, and cortical thickness) and social communication abilities. Participants (n = 416) included children with a diagnosis of ASD (n = 192, age = 12.0[5.6], 19% female), ADHD (n = 109, age = 11.1[4.1], 18% female), or OCD (n = 50, age = 12.3[4.2], 42% female), and typically developing controls (n = 65, age = 11.6[7.1], 48% female). The analyses revealed (1) associations with social communication abilities in distributed cortical and subcortical networks implicated in social behaviors, language, attention, memory, and executive functions, and (2) three data-driven, diagnosis-agnostic subgroups based on the patterns of association in the above networks. Our results suggest that different brain networks may contribute to social communication differences in subgroups that are not diagnosis-specific.