Tai chi or health education for older adults with hypertension: effects on mental health and psychological resilience to COVID-19.

OBJECTIVE: To compare the effectiveness of 12 weeks of community-based, in-person, group Tai Chi (TC) and Health Education (HAP-E) in improving health and wellbeing in older adults with hypertension and in promoting psychological resilience during COVID-19. METHODS: A 12-week randomized controlled trial (RCT) in San Diego County, USA. Self-reported depressive symptoms, anxiety, sleep disturbances, gratitude, resilience, mental and physical health were assessed in-person pre- and post-intervention, and by long-term follow-up surveys during COVID-19. Linear mixed-effects models were used to assess study arm differences over time and logistic regression to identify predictors of positive intervention response. RESULTS: Of 182 randomized participants (72.6 ± 7.9 yrs; 72% female), 131 completed the intervention. Modest improvements in health and wellbeing occurred post-intervention in both arms (Cohen's d: TC = 0.38, 95% CI: 0.25-0.51; HAP-E = 0.24, 0.11-0.37), though positive intervention responses were more than twice as likely in TC (OR = 2.29, 1.07-4.57). Younger age, higher anxiety, and poorer mental health at baseline predicted greater odds of response. Small declines in health and wellbeing were reported at the first COVID-19 follow-up, with smaller declines in the TC arm (Cohen's d: TC = -0.15, -0.31-0.00; HAP-E = -0.34, -0.49 to -0.19). Health and wellbeing stabilized at the second COVID-19 follow-up. Most participants (>70%) reported that the interventions benefitted their health and wellbeing during COVID-19. CONCLUSION: TC and HAP-E improved health and wellbeing, though TC conferred greater odds of an improved mental health response. Declines in health and wellbeing were observed at pandemic follow-up, with smaller declines in the TC arm, suggesting increased resilience.

Deep Dive into the Long Haul: Analysis of Symptom Clusters and Risk Factors for Post-Acute Sequelae of COVID-19 to Inform Clinical Care.

Long COVID is a chronic condition characterized by symptoms such as fatigue, dyspnea, and cognitive impairment that persist or relapse months after an acute infection with the SARS-CoV-2 virus. Many distinct symptoms have been attributed to Long COVID; however, little is known about the potential clustering of these symptoms and risk factors that may predispose patients to certain clusters. In this study, an electronic survey was sent to patients in the UC San Diego Health (UCSDH) system who tested positive for COVID-19, querying if patients were experiencing symptoms consistent with Long COVID. Based on survey results, along with patient demographics reported in the electronic health record (EHR), linear and logistic regression models were used to examine putative risk factors, and exploratory factor analysis was performed to determine symptom clusters. Among 999 survey respondents, increased odds of Long COVID (n = 421; 42%) and greater Long COVID symptom burden were associated with female sex (OR = 1.73, 99% CI: 1.16-2.58; ß = 0.48, 0.22-0.75), COVID-19 hospitalization (OR = 4.51, 2.50-8.43; ß = 0.48, 0.17-0.78), and poorer pre-COVID self-rated health (OR = 0.75, 0.57-0.97; ß = -0.19, -0.32--0.07). Over one-fifth of Long COVID patients screened positive for depression and/or anxiety, the latter of which was associated with younger age (OR = 0.96, 0.94-0.99). Factor analysis of 16 self-reported symptoms suggested five symptom clusters-gastrointestinal (GI), musculoskeletal (MSK), neurocognitive (NC), airway (AW), and cardiopulmonary (CP), with older age (ß = 0.21, 0.11-0.30) and mixed race (ß = 0.27, 0.04-0.51) being associated with greater MSK symptom burden. Greater NC symptom burden was associated with increased odds of depression (OR = 5.86, 2.71-13.8) and anxiety (OR = 2.83, 1.36-6.14). These results can inform clinicians in identifying patients at increased risk for Long COVID-related medical issues, particularly neurocognitive symptoms and symptom clusters, as well as informing health systems to manage operational expectations on a population-health level.

Are we facing a crashing wave of neuropsychiatric sequelae of COVID-19? Neuropsychiatric symptoms and potential immunologic mechanisms.

The coronavirus disease 19 (COVID-19) pandemic is a significant psychological stressor in addition to its tremendous impact on every facet of individuals' lives and organizations in virtually all social and economic sectors worldwide. Fear of illness and uncertainty about the future precipitate anxiety- and stress-related disorders, and several groups have rightfully called for the creation and dissemination of robust mental health screening and treatment programs for the general public and front-line healthcare workers. However, in addition to pandemic-associated psychological distress, the direct effects of the virus itself (several acute respiratory syndrome coronavirus; SARS-CoV-2), and the subsequent host immunologic response, on the human central nervous system (CNS) and related outcomes are unknown. We discuss currently available evidence of COVID-19 related neuropsychiatric sequelae while drawing parallels to past viral pandemic-related outcomes. Past pandemics have demonstrated that diverse types of neuropsychiatric symptoms, such as encephalopathy, mood changes, psychosis, neuromuscular dysfunction, or demyelinating processes, may accompany acute viral infection, or may follow infection by weeks, months, or longer in recovered patients. The potential mechanisms are also discussed, including viral and immunological underpinnings. Therefore, prospective neuropsychiatric monitoring of individuals exposed to SARS-CoV-2 at various points in the life course, as well as their neuroimmune status, are needed to fully understand the long-term impact of COVID-19, and to establish a framework for integrating psychoneuroimmunology into epidemiologic studies of pandemics.