Faculty Bibliography

Initial research has indicated that college students have experienced numerous stressors as a result of the pandemic. The current investigation enrolled the largest and most diverse sample of college students to date (N = 4714) from universities in New York (NY) and New Jersey (NJ), the epicenter of the North American pandemic in Spring 2020. We described the impact on the psychological, academic, and financial health of college students who were initially most affected and examined racial/ethnic group differences. Results indicated that students' mental health was severely affected and that students of color were disproportionately affected by academic, financial, and COVID-related stressors. Worry about COVID-19 infection, stressful living conditions, lower grades, and loneliness emerged as correlates of deteriorating mental health. COVID-19's mental health impact on college students is alarming and highlights the need for public health interventions at the university level.

Using a community-partnered research framework, the goal of this study was to rapidly assess coronavirus disease (COVID-19) impact on teachers, students, and families and guidance received to navigate distance learning. Participants were teachers (N = 430) working in elementary schools (n = 301), middle schools (n = 56), high schools (n = 60), and other schools (n = 13) in two large urban school districts heavily impacted by COVID-19. Results indicated teacher concerns regarding student instructional loss and exposure to direct and indirect COVID-related trauma. There were mean differences in teacher concern by school level (p = .001, η² = .033) with elementary teachers reporting the greatest concerns regarding instructional loss. Over 40% of teachers reported that more than 20% of their students had a family member infected with COVID-19 or employed as a frontline healthcare worker. Approximately 99% of teachers reported a significant gap in student access to the internet and distance learning devices. Teachers reported receiving more school than district guidance regarding distance learning, student engagement, and using social emotional learning (SEL) programs. Results informed professional development priorities for educators and immediate supports needed for students and families. Study limitations and future directions for research and practice are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Mental and physical (MAP) training targets the brain and the body through a combination of focused-attention meditation and aerobic exercise. The following feasibility pilot study tested whether 6 weeks of MAP training improves mental health outcomes, while enhancing discrimination learning and heart rate variability (HRV) in a group of women living with human immunodeficiency virus (HIV) and other stress-related conditions. Participants were assigned to training (n = 18) or no-training control (n = 8) groups depending on their ability and willingness to participate, and if their schedule allowed. Training sessions were held once a week for 6 weeks with 30 min of meditation followed by 30 min of aerobic exercise. Before and after 6 weeks of training, participants completed the Behavioral Pattern Separation Task as a measure of discrimination learning, self-report questionnaires of ruminative and trauma-related thoughts, depression, anxiety, and perceived stress, and an assessment of HRV at rest. After training, participants reported fewer ruminative and trauma-related thoughts, fewer depressive and anxiety symptoms, and less perceived stress (p's < 0.05). The positive impact on ruminative thoughts and depressive symptoms persisted 6 months after training. They also demonstrated enhanced discrimination of similar patterns of information (p < 0.05). HRV did not change after training (p > 0.05). Combining mental and physical training is an effective program for enhancing mental health and aspects of cognition in women living with HIV, although not necessarily through variance in heart rate.

Individualized treatment rules (ITRs) recommend treatments that are tailored specifically according to each patient's own characteristics. It can be challenging to estimate optimal ITRs when there are many features, especially when these features have arisen from multiple data domains (e.g., demographics, clinical measurements, neuroimaging modalities). Considering data from complementary domains and using multiple similarity measures to capture the potential complex relationship between features and treatment can potentially improve the accuracy of assigning treatments. Outcome weighted learning (OWL) methods that are based on support vector machines using a predetermined single kernel function have previously been developed to estimate optimal ITRs. In this paper, we propose an approach to estimate optimal ITRs by exploiting multiple kernel functions to describe the similarity of features between subjects both within and across data domains within the OWL framework, as opposed to preselecting a single kernel function to be used for all features for all domains. Our method takes into account the heterogeneity of each data domain and combines multiple data domains optimally. Our learning process estimates optimal ITRs and also identifies the data domains that are most important for determining ITRs. This approach can thus be used to prioritize the collection of data from multiple domains, potentially reducing cost without sacrificing accuracy. The comparative advantage of our method is demonstrated by simulation studies and by an application to a randomized clinical trial for major depressive disorder that collected features from multiple data domains. Supplemental materials for this article are available online.

A large number of studies have examined the association between advanced paternal age (APA) and risk of schizophrenia in offspring. Here we present an overview of epidemiological studies on this subject published since 2000, and systematically summarize their methodologies and results. Next, we discuss evidence to elucidate the potential mechanisms contributing to the association between APA and offspring schizophrenia, considering paternal psychiatric morbidity and genetic liability, maternal factors, and findings from family design studies. We propose that multiple mechanisms, including causal and non-causal pathways, contribute to the observed relationship between APA and schizophrenia in offspring, and conclude by highlighting the need for multi-disciplinary studies in disentangling these complex, non-mutually exclusive mechanisms.

Sexual minority men (SMM) are at increased risk for mental health problems due to effects of sexual minority stigma (e.g., internalized homonegativity (IH)). Both IH and emotion dysregulation are contributors to sexual compulsivity; however, the role of feelings of sexual shame have not been examined in this association. A sample of 982 HIV-negative SMM completed online surveys (Mage = 42.4, SD = 13.74). Path analyses indicated significant direct effects of IH on sexual shame (β = 0.44, p < .001), emotion dysregulation (β = 0.19, p < .001), and sexual compulsivity (β = 0.22, p < .001). Modeled simultaneously, the association between sexual shame and sexual compulsivity (β = 0.26, p < .001) was significant, as was the association between emotion dysregulation and sexual compulsivity (β = 0.27, p < .001). Finally, an indirect effect of IH on sexual compulsivity through both sexual shame (p < .001) and emotion dysregulation (p < .001) was significant, and the association between IH and sexual compulsivity was reduced to non-significant (β = 0.01, p = .74). Targeting feelings of sexual shame and emotion dysregulation in clinical interventions may help reduce the negative health impact of sexual compulsivity among SMM.

Several reports indicate either increased or decreased pain sensitivity associated with psychiatric disorders. Chronic pain is highly prevalent in many of these conditions. We reviewed the literature regarding experimental pain sensitivity in patients with major depression, bipolar disorder, posttraumatic stress disorder (PTSD), generalized anxiety disorder, panic disorder, obsessive-compulsive disorder and schizophrenia. Electronic searches were performed to identify studies comparing experimental pain in patients with these conditions and controls. Across 31 depression studies, reduced pain threshold was noted except for ischemic stimuli, where increased pain tolerance and elevated sensitivity to ischemic pain was observed. A more pervasive pattern of low pain sensitivity was found across 20 schizophrenia studies. The majority of PTSD studies (n = 20) showed no significant differences compared with controls. The limited number of bipolar disorder (n = 4) and anxiety (n = 9) studies precluded identification of clear trends. Wide data variability was observed. Awareness of psychiatric patients' pain perception abnormalities is needed for active screening and addressing physical comorbidities, in order to enhance quality of life, life expectancy and mental health.

Borderline personality disorder is a complex psychiatric disorder with limited treatment options that are associated with large heterogeneity in treatment response and high rates of dropout. New or complementary treatments for borderline personality disorder are needed that may be able to bolster treatment outcomes. In this review, the authors comment on the plausibility for research on 3,4-methylenedioxymethamphetamine (MDMA) used in conjunction with psychotherapy for borderline personality disorder (i.e., MDMA-assisted psychotherapy [MDMA-AP]). On the basis of the promise of MDMA-AP in treating disorders overlapping with borderline personality disorder (e.g., posttraumatic stress disorder), the authors speculate on initial treatment targets and hypothesized mechanisms of change that are grounded in prior literature and theory. Initial considerations for designing MDMA-AP clinical trials to investigate the safety, feasibility, and preliminary effects of MDMA-AP for borderline personality disorder are also presented.