Faculty Bibliography

The COVID-19 pandemic was an unparalleled stressor that enhanced isolation. Loneliness has been identified as an epidemic by the US Surgeon General. This study aimed to: (1) characterize longitudinal trajectories of loneliness during the acute phase of the COVID-19 pandemic; (2) identify longitudinal mediators of the relationship of loneliness with anxiety and depression; and (3) examine how loneliness naturally clusters and identify factors associated with high loneliness. Two hundred and twenty-nine adults (78% female; mean age = 39.5 ± 13.8) completed an abbreviated version of the UCLA Loneliness Scale, Perceived Stress Scale, Emotion Regulation Questionnaire, State Anxiety Inventory, and Patient Health Questionnaire-8 longitudinally between April 2020 and 2021. Trajectory analyses demonstrated relatively stable loneliness over time, while anxiety and depression symptoms declined. Longitudinal analyses indicated that loneliness effects on anxiety and depression were both partially mediated by perceived stress, while emotion regulation capacity only mediated effects on anxiety. Three stable clusters of loneliness trajectories emerged (high, moderate, and low). The odds of moderate or high loneliness cluster membership were positively associated with higher perceived stress and negatively associated with greater cognitive reappraisal use. Our results demonstrate the important interconnections between loneliness and facets of mental health throughout the early phases of the pandemic and may inform targeted future interventions for loneliness work.

Improving mindfulness is an important treatment target for generalized anxiety disorder (GAD). However, less is known about how different treatments impact specific aspects of mindfulness. In a clinical trial (Simon et al., 2021), 226 individuals with GAD were randomized to 12 weeks of Kundalini Yoga (KY), cognitive behavioral therapy (CBT) or stress education (SE). To examine whether specific facets of mindfulness, as measured by the Five Facet Mindfulness Questionnaire (FFMQ) change more than others across treatment and between treatments, we ran a multi-variate multilevel growth curve model (MMLM). Results indicated that while the Non-judge, Act with Awareness, and Non-react facets increased significantly during treatment, the Observe and Describe facets did not. Improvement in the Acting with Awareness facet during treatment was significantly greater for KY than CBT. These findings reveal the need to better understand how behavioral treatments can influence specific components of mindfulness for those with anxiety.

Many Veterans who served in Iraq and Afghanistan struggle with posttraumatic stress disorder (PTSD) and the effects of traumatic brain injuries (TBI). Some people with a history of TBI report a constellation of somatic, cognitive, and emotional complaints that are often referred to as postconcussive symptoms (PCS). Research suggests these symptoms may not be specific to TBI. This study examined the impact of PTSD treatment on PCS in combat Veterans seeking treatment for PTSD. As part of a larger randomized control trial, 198 Operation Iraqi Freedom, Operation Enduring Freedom, Operation New Dawn (OIF/OEF/OND) Veterans with PTSD received Prolonged Exposure Therapy, sertraline, or the combination. Potential deployment related TBI, PCS, PTSD and depression symptoms were assessed throughout treatment. Linear mixed models were used to predict PCS change over time across the full sample and treatment arms, and the association of change in PTSD and depression symptoms on PCS was also examined. Patterns of change for the full sample and the subsample of those who reported a head injury were examined. Results showed that PCS decreased with treatment. There were no significant differences across treatments. No significant differences were found in the pattern of symptom change based on TBI screening status. Shifts in PCS were predicted by change PTSD and depression. Results suggest that PCS reduced with PTSD treatment in this population and are related to shift in depression and PTSD severity, further supporting that reported PCS symptoms may be better understood as non-specific symptoms.

BACKGROUND:Somatic Symptom and Related Disorders (SSRD), including chronic pain, result in frequent primary care visits, depression and anxiety symptoms, and diminished quality of life. Treatment access remains limited due to structural barriers and functional impairment. Digital delivery offers to improve access and enables transcript analysis via Natural Language Processing (NLP) to inform treatment. Therefore, we investigated asynchronous message-delivered SSRD treatment, and used NLP methods to identify symptom reduction markers from emotional valence. METHODS:173 individuals diagnosed with SSRD received interventions from licensed therapists via messaging 5 days/week for 8 weeks. Depression and anxiety symptoms were measured with the PHQ-9 and GAD-7 from baseline every three weeks. Symptoms trajectories were identified using unsupervised random forest clustering. Emotional valence expressed and use of emotional words were extracted from patients' de-identified transcripts, respectively using VADER and NCR Lexicon. Valence differences were examined using logistic regression. RESULTS:Two subpopulations were identified showing symptoms Improvement (n = 72; 41.62 %) and non-response (n = 101; 58.38 %). Improvement patients expressed more positive valence in the first week of treatment (OR = 1.84, CI: 1.12-3.02; p = .015) and were less likely to express negative valence by the end of treatment (OR = 0.05; CI: 0.30-0.83; p = .008). Non-response patients used more negative valence words, including pain. LIMITATIONS/CONCLUSIONS:Findings were derived from observational data obtained during an ecological intervention, without the inclusion of a control group. CONCLUSIONS:NLP identified linguistic markers distinguishing changes in anxiety and depression symptoms over treatment. Digital interventions offer new forms of delivery and provide the opportunity to automatically collect data for linguistic analysis.

Sleep disturbances are present in ~65% of individuals with generalised anxiety disorder (GAD). Although both Kundalini yoga (KY) and cognitive behavioural therapy (CBT) are effective treatment options for GAD, little is known about how these treatments compare in improving sleep for GAD and what drives these changes. Accordingly, we examined the effects of CBT, KY, and stress education (SEdu; an attention control condition) on subjective sleep quality (as measured by the Pittsburgh Sleep Quality Index [PSQI] and Insomnia Severity Index [ISI]) in a randomised controlled trial of 226 adults with GAD (mean age 33.37 years; 70% female; 79% White). We hypothesised that both CBT and KY would outperform SEdu in improving sleep disturbances. Three potential mediators of sleep improvement (worry, mindfulness, perceived stress) were also examined. In line with hypotheses, PSQI and ISI scores significantly improved from pre- to post-treatment for all three treatment groups (all p < 0.001, all d > 0.97). However, contrary to predictions, sleep changes were not significantly greater for CBT or KY compared to SEdu. In mediation analyses, within-person deviations in worry, mindfulness, and stress each significantly mediated the effect of time on sleep outcomes. Degree of change in sleep attributable to worry (CBT > KY > SEdu) and perceived stress (CBT, KY > SEdu) was moderated by treatment group. Personalised medicine as well as combined treatment approaches should be studied to help reduce sleep difficulties for patients with GAD who do not respond.

Prolonged grief disorder (PGD) is a condition of persistent, intense grief and PGD-targeted psychotherapy (PGDT) is an efficacious treatment. This study aimed to compare participants with PGD who self-identified as Black versus White, with respect to baseline features and response to PGDT. We performed a secondary data analysis of 55 Black and 455 White adults from two randomized clinical trials. Racial differences in baseline features were examined using Chi-squared and T-tests. We compared assessment completion and treatment response rates (PGDT vs. no PGDT) by race and evaluated posttreatment self-reported measures using linear models. There were racial differences in the cause of death, relation to the deceased, and taking comfort in religion. Black participants had similar ratings to their counterparts on impairment and grief severity at baseline. However, they had higher scores on a baseline measure of typical grief-related beliefs. Both racial groups had significantly greater response rates to PGDT than the comparison treatment. Similarly, PGDT resulted in lower posttreatment impairment than the comparison treatment for both racial groups. However, only the White participants had a difference in posttreatment grief severity between the treatment groups. This study supports the idea that PGD characteristics are similar in Black and White treatment seeking individuals, and that Black and White participants display improvement in response to PGDT.

RATIONALE/BACKGROUND:) levels. OBJECTIVE:The study objective was to measure the acceptability of a new mind-body intervention we developed called Capnography-Assisted, Learned Monitored (CALM) Breathing, implemented before pulmonary rehabilitation. METHODS:biofeedback, and motivational interviewing. Using qualitative methods and semi-structured interviews immediately post-intervention, we evaluated the acceptability and participation process of CALM Breathing. Themes were identified using constant comparative analysis. RESULTS:Sixteen participants were interviewed after receiving CALM Breathing. Three main themes of CALM Breathing were identified: (1) Process of learning self-regulated breathing, (2) Mechanisms of a mind-body intervention, (3) Clinical and implementation outcomes. CONCLUSIONS:Positive themes supported the acceptability of CALM Breathing and described participants' process of learning more self-regulated breathing to manage their dyspnea and anxiety. Positive signals from qualitative participant feedback provided support for CALM Breathing as an intervention for COPD, but larger scale efficacy trials are needed.

BACKGROUND:, dyspnea, and inefficient recovery from breathing challenges. While pulmonary rehabilitation (PR) improves dyspnea, only 1-2% of patients access it. Individuals with anxiety who use PR have worse outcomes. METHODS:changes to dyspnea and anxiety symptoms and targeting breathing efficiency and self-efficacy in COPD. Participants are randomized to CALM Breathing or a Usual Care control group. RESULTS:Primary outcomes include feasibility and acceptability metrics of recruitment efficiency, participant retention, intervention adherence and fidelity, PR facilitation, patient satisfaction, and favorable themes from interviews. Secondary outcomes include breathing biomarkers, symptoms, health-related quality of life, six-minute walk distance, lung function, mood, physical activity, and PR utilization and engagement. CONCLUSION/CONCLUSIONS:By disrupting the cycle of dyspnea and anxiety, and providing a needed bridge to PR, CALM Breathing may address a substantive gap in healthcare and optimize treatment for patients with COPD.

BACKGROUND:Stressors for health care workers (HCWs) during the COVID-19 pandemic have been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying the factors most tied to HCWs' psychological challenges is crucial to addressing HCWs' mental health needs effectively, now and for future large-scale events. OBJECTIVE:In this study, we used natural language processing methods to examine deidentified psychotherapy transcripts from telemedicine treatment during the initial wave of COVID-19 in the United States. Psychotherapy was delivered by licensed therapists while HCWs were managing increased clinical demands and elevated hospitalization rates, in addition to population-level social distancing measures and infection risks. Our goal was to identify specific concerns emerging in treatment for HCWs and to compare differences with matched non-HCW patients from the general population. METHODS:We conducted a case-control study with a sample of 820 HCWs and 820 non-HCW matched controls who received digitally delivered psychotherapy in 49 US states in the spring of 2020 during the first US wave of the COVID-19 pandemic. Depression was measured during the initial assessment using the Patient Health Questionnaire-9, and anxiety was measured using the General Anxiety Disorder-7 questionnaire. Structural topic models (STMs) were used to determine treatment topics from deidentified transcripts from the first 3 weeks of treatment. STM effect estimators were also used to examine topic prevalence in patients with moderate to severe anxiety and depression. RESULTS:The median treatment enrollment date was April 15, 2020 (IQR March 31 to April 27, 2020) for HCWs and April 19, 2020 (IQR April 5 to April 27, 2020) for matched controls. STM analysis of deidentified transcripts identified 4 treatment topics centered on health care and 5 on mental health for HCWs. For controls, 3 STM topics on pandemic-related disruptions and 5 on mental health were identified. Several STM treatment topics were significantly associated with moderate to severe anxiety and depression, including working on the hospital unit (topic prevalence 0.035, 95% CI 0.022-0.048; P<.001), mood disturbances (prevalence 0.014, 95% CI 0.002-0.026; P=.03), and sleep disturbances (prevalence 0.016, 95% CI 0.002-0.030; P=.02). No significant associations emerged between pandemic-related topics and moderate to severe anxiety and depression for non-HCW controls. CONCLUSIONS:The study provides large-scale quantitative evidence that during the initial wave of the COVID-19 pandemic, HCWs faced unique work-related challenges and stressors associated with anxiety and depression, which required dedicated treatment efforts. The study further demonstrates how natural language processing methods have the potential to surface clinically relevant markers of distress while preserving patient privacy.