Faculty Bibliography

UNLABELLED:Maternal psychopathology given a history of maltreatment and domestic violence exposure increases the risk for child psychopathology. Infant social withdrawal is one warning sign of adverse developmental outcomes including child anxiety and depression. It remains unclear how maternal trauma-related psychopathology might affect infant social withdrawal six-months postpartum. METHODS:One-hundred ninety-five women and their six-month-old infants were studied in an at-risk community sample. Maternal trauma history, posttraumatic stress (PTSD) and major depressive (MDD) disorders were assessed. Maternal and infant behaviors were coded from videotaped interactions. RESULTS:Maternal trauma was correlated with atypical maternal behavior (AMB) and infant social withdrawal (p ≤ .001). PTSD and MDD, and comorbid PTSD/MDD predicted increased AMB (p ≤ .001) but only maternal MDD was predictive of infant social withdrawal (p ≤ .001). Effects of maternal MDD on infant withdrawal were mediated by AMB. CONCLUSIONS:At six-months postpartum, maternal MDD was associated with infant withdrawal. AMB is an important target for early intervention.

BACKGROUND:Digital technology has the potential to transform psychiatry, but its adoption has been limited. The proliferation of telepsychiatry during the COVID-19 pandemic has increased the urgency of optimizing technology for clinical practice. Understanding clinician attitudes and preferences is crucial to effective implementation and patient benefit. OBJECTIVE:Our objective was to elicit clinician perspectives on emerging digital technology. METHODS:Clinicians in a large psychiatry department (inpatient and outpatient) were invited to complete a web-based survey about their attitudes toward digital technology in practice, focusing on implementation, clinical benefits, and expectations about patients' attitudes. The survey consisted of 23 questions that could be answered on either a 3-point or 5-point Likert scale. We report the frequencies and percentages of responses. RESULTS:In total, 139 clinicians completed the survey-they represent a variety of years of experience, credentials, and diagnostic subspecialties (response rate 69.5%). Overall, 83.4% (n=116) of them stated that digital data could improve their practice, and 23.0% (n=32) of responders reported that they had viewed patients' profiles on social media. Among anticipated benefits, clinicians rated symptom self-tracking (n=101, 72.7%) as well as clinical intervention support (n=90, 64.7%) as most promising. Among anticipated challenges, clinicians mostly expressed concerns over greater time demand (n=123, 88.5%) and whether digital data would be actionable (n=107, 77%). Furthermore, 95.0% (n=132) of clinicians expected their patients to share digital data. CONCLUSIONS:Overall, clinicians reported a positive attitude toward the use of digital data to not only improve patient outcomes but also highlight significant barriers that implementation would need to overcome. Although clinicians' self-reported attitudes about digital technology may not necessarily translate into behavior, our results suggest that technologies that reduce clinician burden and are easily interpretable have the greatest likelihood of uptake.

IMPORTANCE:Use of attention-deficit/hyperactivity disorder (ADHD) medications has increased substantially over the past decades, but there are concerns regarding their cardiovascular safety. OBJECTIVE:To provide an updated synthesis of evidence on whether ADHD medications are associated with the risk of a broad range of cardiovascular diseases (CVDs). DATA SOURCES:PubMed, Embase, PsycINFO, and Web of Science up to May 1, 2022. STUDY SELECTION:Observational studies investigating the association between ADHD medications (including stimulants and nonstimulants) and risk of CVD. DATA EXTRACTION AND SYNTHESIS:Independent reviewers extracted data and assessed study quality using the Good Research for Comparative Effectiveness (GRACE) checklist. Data were pooled using random-effects models. This study is reported according to the Meta-analyses of Observational Studies in Epidemiology guideline. MAIN OUTCOMES AND MEASURES:The outcome was any type of cardiovascular event, including hypertension, ischemic heart disease, cerebrovascular disease, heart failure, venous thromboembolism, tachyarrhythmias, and cardiac arrest. RESULTS:Nineteen studies (with 3 931 532 participants including children, adolescents, and adults; 60.9% male), of which 14 were cohort studies, from 6 countries or regions were included in the meta-analysis. Median follow-up time ranged from 0.25 to 9.5 years (median, 1.5 years). Pooled adjusted relative risk (RR) did not show a statistically significant association between ADHD medication use and any CVD among children and adolescents (RR, 1.18; 95% CI, 0.91-1.53), young or middle-aged adults (RR, 1.04; 95% CI, 0.43-2.48), or older adults (RR, 1.59; 95% CI, 0.62-4.05). No significant associations for stimulants (RR, 1.24; 95% CI, 0.84-1.83) or nonstimulants (RR, 1.22; 95% CI, 0.25-5.97) were observed. For specific cardiovascular outcomes, no statistically significant association was found in relation to cardiac arrest or arrhythmias (RR, 1.60; 95% CI, 0.94-2.72), cerebrovascular diseases (RR, 0.91; 95% CI, 0.72-1.15), or myocardial infarction (RR, 1.06; 95% CI, 0.68-1.65). There was no associations with any CVD in female patients (RR, 1.88; 95% CI, 0.43-8.24) and in those with preexisting CVD (RR, 1.31; 95% CI, 0.80-2.16). Heterogeneity between studies was high and significant except for the analysis on cerebrovascular diseases. CONCLUSIONS AND RELEVANCE:This meta-analysis suggests no statistically significant association between ADHD medications and the risk of CVD across age groups, although a modest risk increase could not be ruled out, especially for the risk of cardiac arrest or tachyarrhythmias. Further investigation is warranted for the cardiovascular risk in female patients and patients with preexisting CVD as well as long-term risks associated with ADHD medication use.

Several lines of evidence suggest that classic psychedelics (5-HT_2A receptor agonists or partial agonists) such as psilocybin might facilitate behavior change in individuals with substance use disorders. We conducted a multi-site, double-blind, randomized controlled trial (RCT) to assess the effects of psilocybin-assisted psychotherapy in alcohol-dependent volunteers. In addition to a structured 12-week psychotherapy platform, participants (n = 96) were randomly assigned (1:1) to receive either oral psilocybin or an active placebo (oral diphenhydramine) in each of two dosing sessions (at weeks 4 and 8). Initial doses were 25 mg/70 kg psilocybin or 50 mg diphenhydramine, which could be increased in the second session depending on initial response. The psychotherapy platform combined evidence-based, manualized therapy for alcohol dependence with a supportive context for the dosing sessions. All participants were followed in the RCT through week 36. At the end of the RCT, participants who still met safety criteria were offered an open-label psilocybin session. Data collected at screening, baseline and throughout the study included: demographics, measures of alcohol use, subjective response to psilocybin and diphenhydramine, and safety measures. The primary outcome was the proportion of heavy drinking days during the 32 weeks after the first dosing session (i.e., between week 4 and week 36). Secondary outcomes included safety, additional measures of drinking (e.g., abstinence, drinking days, etc.), craving, self-efficacy, and acute effects. We will also explore moderators and mediators of the primary outcome. The primary outcomes will be published elsewhere. In this paper, we describe the protocol and rationale for our design decisions.

BACKGROUND:To what extent the COVID-19 pandemic and its containment measures influenced mental health in the general population is still unclear. PURPOSE:To assess the trajectory of mental health symptoms during the first year of the pandemic and examine dose-response relations with characteristics of the pandemic and its containment. DATA SOURCES:Relevant articles were identified from the living evidence database of the COVID-19 Open Access Project, which indexes COVID-19-related publications from MEDLINE via PubMed, Embase via Ovid, and PsycInfo. Preprint publications were not considered. STUDY SELECTION:Longitudinal studies that reported data on the general population's mental health using validated scales and that were published before 31 March 2021 were eligible. DATA EXTRACTION:An international crowd of 109 trained reviewers screened references and extracted study characteristics, participant characteristics, and symptom scores at each timepoint. Data were also included for the following country-specific variables: days since the first case of SARS-CoV-2 infection, the stringency of governmental containment measures, and the cumulative numbers of cases and deaths. DATA SYNTHESIS:In a total of 43 studies (331 628 participants), changes in symptoms of psychological distress, sleep disturbances, and mental well-being varied substantially across studies. On average, depression and anxiety symptoms worsened in the first 2 months of the pandemic (standardized mean difference at 60 days, -0.39 [95% credible interval, -0.76 to -0.03]); thereafter, the trajectories were heterogeneous. There was a linear association of worsening depression and anxiety with increasing numbers of reported cases of SARS-CoV-2 infection and increasing stringency in governmental measures. Gender, age, country, deprivation, inequalities, risk of bias, and study design did not modify these associations. LIMITATIONS:The certainty of the evidence was low because of the high risk of bias in included studies and the large amount of heterogeneity. Stringency measures and surges in cases were strongly correlated and changed over time. The observed associations should not be interpreted as causal relationships. CONCLUSION:Although an initial increase in average symptoms of depression and anxiety and an association between higher numbers of reported cases and more stringent measures were found, changes in mental health symptoms varied substantially across studies after the first 2 months of the pandemic. This suggests that different populations responded differently to the psychological stress generated by the pandemic and its containment measures. PRIMARY FUNDING SOURCE:Swiss National Science Foundation. (PROSPERO: CRD42020180049).

Awareness and interest in involving male caregivers in child mental health treatment has grown, especially for youth with disruptive behavior disorders like oppositional defiant disorder (ODD). The purpose of this study was to examine the relationship between male caregiver involvement and treatment engagement for child ODD. Children (n = 122) ages 7-11 and their caregivers participated in the 4 Rs 2 Ss Strengthening Families Program for child-onset ODD. Families were compared based on male caregiver presence. Families with a male caregiver were significantly more resourced with respect to income, educational status, and food security. Additionally, they were over three times less likely to drop out of the program than those without a male caregiver. The presence of a male caregiver was associated with increased resources and higher rates of engagement in services than single, female-headed families. Future research is needed to discern the underlying mechanisms of this association.

OBJECTIVES/OBJECTIVE:The Advance Premium Tax Credit (APTC) is designed to remedy lack of health insurance due to cost; however, approximately 30 million Americans remain without health insurance and millions of households leave billions in tax credits unclaimed each year. A prerequisite of APTC is to file one's taxes; however, few studies have examined tax filing and APTC jointly. This study examined the relationship between tax filing and applying for APTC, as well as perceived barriers to and sociodemographic characteristics associated with applying for the APTC. STUDY DESIGN/METHODS:Descriptive study. METHODS:Researchers surveyed 372 Marketplace-insured members who were eligible for APTC. RESULTS:Most of the sample filed personal taxes in 2019 and planned to file taxes in 2020, yet only 23% applied for the APTC in 2019, and 26.3% were planning to apply in 2020. Most commonly, respondents were not going to apply because they believed they were not eligible (53.5%), they did not know about the APTC (15.8%), and they did not know whether they were eligible (9.9%). Logistic regression modeling found that employment, income, and race were significantly associated with applying for the APTC. CONCLUSIONS:Barriers to applying for the APTC were unrelated to tax filing and were specific to a lack of knowledge about the APTC and eligibility. These results indicate the need to build knowledge and awareness of the APTC and eligibility and to target groups least likely to apply. Implications and future directions are discussed.

BACKGROUND:The COVID-19 pandemic has caused an increase in mental ill health compared with prepandemic levels. Longer-term trajectories of depression in adults during the pandemic remain unclear. OBJECTIVE:We used latent growth curve modelling to examine individual trajectories of depression symptoms, and their predictors, beyond the early stage of the pandemic. METHODS:Data were collected in three waves in May 2020, September/October 2020 and February/March 2021 in four UK cohorts (Millennium Cohort Study, Next Steps cohort, British Cohort and National Child Development Study). We included n=16 978 participants (mean age at baseline: 20, 30, 50 and 62, respectively). Self-reported depressive symptoms were the study outcome. FINDINGS/RESULTS:Symptoms of depression were higher in younger compared with older age groups (d=0.7) across all waves. While depressive symptoms remained stable from May 2020 to Autumn 2020 overall (standardized mean difference (SMD)=0.03, 95% CI 0.02 to 0.04), they increased in all age groups from May 2020 to Spring 2021 (SMD=0.12, 95% CI 0.11 to 0.13). Feelings of loneliness were the strongest predictor and concurrent correlate of increasing depressive symptoms across all cohorts, prepandemic mental health problems and having a long-term illness were also significantly associated with an increase in depression symptoms across all ages. By contrast, compliance with social distancing measures did not predict an increase in depression symptoms. CONCLUSIONS:Feeling lonely and isolated had a large effect on depression trajectories across all generations, while social distancing measures did not. CLINICAL IMPLICATIONS/CONCLUSIONS:These findings highlight the importance of fostering the feeling of connectedness during COVID-19-related distancing measures.

BACKGROUND:Immune dysregulation has been linked to both psychiatric illness and pregnancy morbidity, including perinatal depression, but little is known about the immune phenotype of perinatal anxiety. Here, we sought to identify the unique immune profile of antenatal anxiety. MATERIALS AND METHODS/METHODS:Pregnant women (n = 107) were followed prospectively at 2nd and 3rd trimesters (T2, T3) and 6 weeks postpartum (PP6). Each visit included a blood draw and psychological evaluation, with clinical anxiety assessed using the Spielberg State-Trait Anxiety Scale. We enrolled both healthy controls and participants with anxiety alone; those with comorbid depression were excluded. Multiplex cytokine assays and flow cytometry were used to examine the association of anxiety symptoms with secreted immune markers and PBMC-derived immune cells. RESULTS:cells in the postpartum as compared with Non-Anxiety women. CONCLUSION/CONCLUSIONS:These data suggest that the immune response throughout the antenatal period differs for women with anxiety symptoms compared to those without, suggestive of a unique immune phenotype of perinatal anxiety.

OBJECTIVE:Abnormal cerebellar development has been implicated in Attention-Deficit/Hyperactivity Disorder (ADHD), although cerebro-cerebellar functional connectivity (FC) has yet to be examined in ADHD. Our objective is to investigate the disturbed cerebro-cerebellar FC in children and adolescents with ADHD. METHOD/METHODS:We analyzed the dataset of 106 individuals with ADHD (68 children, 38 adolescents) and 62 healthy comparisons (34 children, 28 adolescents) from the publicly available ADHD-200 dataset. We identified seven cerebellar sub-regions based on cerebro-cerebellar FC and subsequently obtained the FC maps of cerebro-cerebellar networks. Main effects of ADHD and age and their interaction were examined using two-way analysis of variance. RESULTS:Compared to comparisons, ADHD showed higher cerebro-cerebellar FC in superior temporal gyrus within the somatomotor network. Interactions of diagnosis and age were identified in the supplementary motor area and postcentral gyrus within the somatomotor network and middle temporal gyrus within the ventral attention network. Follow-up Pearson correlation analysis revealed decreased cerebro-cerebellar FC in these regions with increasing age in comparisons, while the opposite pattern of increased cerebro-cerebellar FC occurred in ADHD. CONCLUSION/CONCLUSIONS:Increased cerebro-cerebellar FC in superior temporal gyrus within the somatomotor network could underlie impairments in cognitive control and somatic motor function in ADHD. In addition, increasing cerebro-cerebellar FC in older participants with ADHD suggests that enhanced cerebellar involvement may compensate for dysfunctions of the cerebral cortex in ADHD.