Although the number of Hispanic/Latina women earning medical degrees has increased in recent years, the article by Anaya and colleagues in this issue highlights their stark underrepresentation in the U.S. physician workforce. In this Invited Commentary, the authors provide context on proposed drivers of underrepresentation, including bias, discrimination, harassment, and other structural barriers, which are amplified for women with multiple minoritized identities. They summarize the 2020 National Academies of Sciences, Engineering, and Medicine recommendations for supporting women in science, technology, engineering, mathematics, and medicine (STEMM) fields, including committed leadership, dedicated financial and human resources, data-driven accountability, and use of an intersectional approach to address the challenges faced by individuals who encounter multiple forms of bias and discrimination. The authors also provide additional recommendations and highlight innovative new National Institutes of Health funding opportunities to promote diversity in the scientific workforce. They argue that more research is needed to identify and best implement institutional practices that increase representation and retention of Latina women and other women with minoritized identities in STEMM fields.

Hoarding disorder (HD) is marked by difficulty discarding possessions. Many refuse treatment or drop out, which may be due to treatment's incorporation of in-home decluttering, which is feared and avoided. Thus, strategies to prepare patients for decluttering/discarding are needed. Imaginal exposure (IE), or imagining one's worst fears about discarding, could be one such strategy. This pilot preliminarily tested a short-duration IE intervention compared with a control intervention. Over 3 days, adults diagnosed with HD (n = 32) were randomly assigned to either write about and imagine their worst fears about discarding (IE condition) or a neutral topic (control writing [CW] condition). The IE condition showed significant improvements in HD symptoms from preintervention to 1-week follow-up, with medium to large effects; however, the CW condition did as well. Comparing change scores between conditions, the IE condition's improvements were not significantly different than the CW condition's. Overall, IE was helpful in improving HD symptoms, but this pilot did not indicate that it was more helpful than CW. This raises important questions about possible demand characteristics, placebo effects, or regression to the mean, and it has implications for the design and methodology of other studies assessing IE's utility.

Intolerance of uncertainty (IU), the dispositional tendency to fear the unknown, has clinical implications across a variety of disorders. While research has linked IU and OCD, relatively little is known about this association. Previous studies have focused on IU’s association with overall OCD severity and specific symptom dimensions, but we do not yet understand to what degree this cognitive vulnerability is associated with each of the two cardinal symptoms: obsessions and compulsions. Additionally, few studies have examined the established IU subtypes—prospective and inhibitory IU—as unique contributors to OCD severity. Given the ubiquity of uncertainty in daily life and the potential for IU to influence obsessive-compulsive processes, further investigation of this cognitive vulnerability in OCD is warranted. In a sample of patients diagnosed with OCD, partial correlations were conducted to determine the association between OCD severity (separately examining obsessions and compulsions) and IU (separately examining prospective and inhibitory IU). These analyses revealed positive correlations between IU and compulsion severity, specifically. And of the IU subtypes, this link was specifically associated with prospective IU. The results of this correlational study contribute to the literature on IU in OCD, suggesting prospective IU as a cognitive mechanism that may be involved in the maintenance of compulsions.

Obsessive-Compulsive Disorder (OCD), characterized by intrusive thoughts (obsessions) and repetitive behaviors (compulsions), is associated with dysfunction in fronto-striatal circuits. There are currently no fast-acting pharmacological treatments for OCD. However, recent clinical studies demonstrated that an intravenous infusion of ketamine rapidly reduces OCD symptoms. To probe mechanisms underlying ketamine's therapeutic effect on OCD-like behaviors, we used the SAPAP3 knockout (KO) mouse model of compulsive grooming. Here we recapitulate the fast-acting therapeutic effect of ketamine on compulsive behavior, and show that ketamine increases activity of dorsomedial prefrontal neurons projecting to the dorsomedial striatum in KO mice. Optogenetically mimicking this increase in fronto-striatal activity reduced compulsive grooming behavior in KO mice. Conversely, inhibiting this circuit in wild-type mice increased grooming. Finally, we demonstrate that ketamine blocks the exacerbation of grooming in KO mice caused by optogenetically inhibiting fronto-striatal activity. These studies demonstrate that ketamine increases activity in a fronto-striatal circuit that causally controls compulsive grooming behavior, suggesting this circuit may be important for ketamine's therapeutic effects in OCD.

Dr. A, a Black woman researcher and clinician-educator in the Department of Psychiatry at a prestigious academic institution, was appointed chair of the Diversity, Equity, and Inclusion (DEI) committee in 2017, in the context of public complaints and media coverage concerning sexism and racism. Following recent high-profile murders of Black people by police, Dr. A is called upon by the department chair to develop "antiracist programming." As a first step, Dr. A drafts a strong message against racismandexcessive police force.Despite the statement being vetted by all senior leadership, the department chair insists thatDr.Aplace only her name on it, in case it is not "well received." Dr. A receives negative e-mails in response to the statement, with minimal support from the department. Not to be dismayed, Dr. A assembles a DEI committee to plan an "antiracist" strategy for the entire department, without financial support, protected time, or additional resources. The DEI committee progress is slowed by the lack of institutional and departmental commitment. Additionally, several well-meaning non- Black colleagues in the department organize responses to the murders-including protests, town hall events, and public statements-without concerted coordination with the DEI committee, implying that "nothing was being done." In parallel, Dr. A is tasked with organizing and dispatching the limited number of Black psychiatrists, psychologists, and social workers in the department to deliver care to the entire Black community at her institution. Feeling overwhelmed by the number of tasks she has been asked to initiate-while navigating a tense climate, with minimal financial or administrative departmental support-Dr. A requests a meeting with the department chair and executive committee. At the meeting, Dr. A, a tenured faculty memberfor the past 10 years, is addressed by another colleague's name-the only other Black professor in the department. When Dr. A points out this microaggression, a senior colleague tells her she is being "too sensitive," and is "overreacting." Despite this interaction, Dr. A highlights multiple institutional barriers, including the structural racism that minimizes the work of DEI initiatives in the department. She presents her proposal for protected time and resources to successfully execute robust antiracist programming but is toldmoneyis tight and to "scale back" and "do the best you can.".

Objective

The aim of this study was to catalog and evaluate response biomarkers correlated with autism spectrum disorder (ASD) symptoms to improve clinical trials.

Methods

A systematic review of MEDLINE, Embase, and Scopus was conducted in April 2020. Seven criteria were applied to focus on original research that includes quantifiable response biomarkers measured alongside ASD symptoms. Interventional studies or human studies that assessed the correlation between biomarkers and ASD-related behavioral measures were included.

Results

A total of 5,799 independent records yielded 280 articles for review that reported on 940 biomarkers, 755 of which were unique to a single publication. Molecular biomarkers were the most frequently assayed, including cytokines, growth factors, measures of oxidative stress, neurotransmitters, and hormones, followed by neurophysiology (e.g., EEG and eye tracking), neuroimaging (e.g., functional MRI), and other physiological measures. Studies were highly heterogeneous, including in phenotypes, demographic characteristics, tissues assayed, and methods for biomarker detection. With a median total sample size of 64, almost all of the reviewed studies were only powered to identify biomarkers with large effect sizes. Reporting of individual-level values and summary statistics was inconsistent, hampering mega- and meta-analysis. Biomarkers assayed in multiple studies yielded mostly inconsistent results, revealing a "replication crisis."

Conclusions

There is currently no response biomarker with sufficient evidence to inform ASD clinical trials. This review highlights methodological imperatives for ASD biomarker research necessary to make definitive progress: consistent experimental design, correction for multiple comparisons, formal replication, sharing of sample-level data, and preregistration of study designs. Systematic "big data" analyses of multiple potential biomarkers could accelerate discovery.

Background

Social media holds exciting promise for advancing mental health research recruitment, however, the extent and efficacy to which these platforms are currently in use are underexplored.

Objective

A systematic review was conducted to characterize the current use and efficacy of social media in recruiting participants for mental health research.

Method

A literature review was performed using MEDLINE, EMBASE, and PsychINFO. Only non-duplicative manuscripts written in the English language and published between 1/1/2004-3/31/2019 were selected for further screening. Data extracted included study type and design, participant inclusion criteria, social media platform, advertising strategy, final recruited sample size, recruitment location, year, monetary incentives, comparison to other recruitment methods if performed, and final cost per participant.

Results

A total of 176 unique studies that used social media for mental health research recruitment were reviewed. The majority of studies were cross-sectional (62.5%) in design and recruited adults. Facebook was overwhelmingly the recruitment platform of choice (92.6%), with the use of paid advertisements being the predominant strategy (60.8%). Of the reviewed studies, substance abuse (43.8%) and mood disorders (15.3%) were the primary subjects of investigation. In 68.3% of studies, social media recruitment performed as well as or better than traditional recruitment methods in the number and cost of final enrolled participants. The majority of studies used Facebook for recruitment at a median cost per final recruited study participant of $19.47. In 55.6% of the studies, social media recruitment was the more cost-effective recruitment method when compared to traditional methods (e.g., referrals, mailing).

Conclusion

Social media appears to be an effective and economical recruitment tool for mental health research. The platform raises methodological and privacy concerns not covered in current research regulations that warrant additional consideration.

Hoarding disorder (HD), characterized by difficulty parting with possessions and functionally impairing clutter, affects 2-6% of the population. Originally considered part of Obsessive-Compulsive Disorder (OCD), HD became a distinct diagnostic entity in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013. While sleep impacts OCD, little is known about sleep in HD. As HD patients often report poor sleep in clinical settings, understanding global subjective sleep quality and disturbances may lead to novel therapeutic targets. To address this gap, the authors used a sample of convenience: an existing data set designed to screen research study eligibility and explore the psychopathology and phenomenology of OCD and HD. The data set included information collected from individuals with HD (n = 38), OCD (n = 26), and healthy participants (n = 22) about insomnia, sleep quality, and mood using interviews and structured instruments including the Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Depression Anxiety Stress Scales (DASS). In this data set, HD and OCD groups reported significantly greater insomnia symptoms and poorer sleep quality compared with healthy controls while controlling for depression, age, and gender. A sizable minority of HD and OCD individuals met criteria for comorbid sleep disorders. OCD and HD groups differed in delayed sleep phase prevalence. To our knowledge, this is the first study examining subjective sleep quality and insomnia in HD as compared to healthy individuals and those with OCD, while controlling for relevant clinical characteristics. Given that there are evidence-based treatments for insomnia and other sleep disorders, our study raises the possibility that treatment interventions targeting sleep may improve HD outcomes.