The Utility of Meditation and Mindfulness-Based Interventions in the Time of COVID-19: A Theoretical Proposition and Systematic Review of the Relevant Prison, Quarantine and Lockdown Literature.

As of July 20, 2021, Covid-19 has killed 4,086,000 people, infected at least 190,169,833 others, and devastated the world's economy. To slow the spread of the virus, numerous governments instituted "lockdown" policies and quarantines, limiting social interactions to the immediate household. The experience of isolation and uncertainty have contributed to increased fear, anxiety, and loneliness; with limited options of research-supported interventions. Although different in nature, the experiences of quarantine and lockdown have been likened to incarceration. Past research has found meditation and mindfulness-based interventions (MBIs) to be effective psychological treatments for prisoners and may therefore translate well into effective methods for the maintenance of psychological well-being for individuals quarantined during the pandemic. More recently, research investigating the effects of meditation and MBIs during the pandemic have demonstrated preliminary evidence for beneficial psychological improvements. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), the current narrative review paper: 1) examines the parallels and differences between the experience of quarantine and imprisonment, 2) investigates the mechanisms through which meditation and mindfulness enact their effects, and 3) systematically reviews literature on the benefits of various types of meditation and MBIs for inmates and individuals in lockdown or quarantine. With this knowledge, the public can garner applicable insight into the potential use of meditation and MBIs for individuals forced to cope with pandemic lockdowns and quarantines. Two hundred and twenty one (221) articles were identified through Pubmed and Google Scholar, and 24 articles were ultimately included in the manuscript.

Mindfulness-Enhanced Computerized Cognitive Training for Depression: An Integrative Review and Proposed Model Targeting the Cognitive Control and Default-Mode Networks.

Depression is often associated with co-occurring neurocognitive deficits in executive function (EF), processing speed (PS) and emotion regulation (ER), which impact treatment response. Cognitive training targeting these capacities results in improved cognitive function and mood, demonstrating the relationship between cognition and affect, and shedding light on novel targets for cognitive-focused interventions. Computerized cognitive training (CCT) is one such new intervention, with evidence suggesting it may be effective as an adjunct treatment for depression. Parallel research suggests that mindfulness training improves depression via enhanced ER and augmentation of self-referential processes. CCT and mindfulness training both act on anti-correlated neural networks involved in EF and ER that are often dysregulated in depression-the cognitive control network (CCN) and default-mode network (DMN). After practicing CCT or mindfulness, downregulation of DMN activity and upregulation of CCN activity have been observed, associated with improvements in depression and cognition. As CCT is posited to improve depression via enhanced cognitive function and mindfulness via enhanced ER ability, the combination of both forms of training into mindfulness-enhanced CCT (MCCT) may act to improve depression more rapidly. MCCT is a biologically plausible adjunct intervention and theoretical model with the potential to further elucidate and target the causal mechanisms implicated in depressive symptomatology. As the combination of CCT and mindfulness has not yet been fully explored, this is an intriguing new frontier. The aims of this integrative review article are four-fold: (1) to briefly review the current evidence supporting the efficacy of CCT and mindfulness in improving depression; (2) to discuss the interrelated neural networks involved in depression, CCT and mindfulness; (3) to present a theoretical model demonstrating how MCCT may act to target these neural mechanisms; (4) to propose and discuss future directions for MCCT research for depression.

Sexual Victimization Disclosure: A Cluster Analysis Approach to Understanding Victimization Experiences in Disclosers and Non-Disclosers.

Research has used cluster analysis to identify clusters, or groups, of sexual victimization survivors who share similar assault experiences. However, researchers have not investigated whether disclosure status is a key component of the survivors' experience. The current study identified two clusters among 174 disclosing and non-disclosing sexual victimization survivors. Cluster One (n = 74) included an incapacitated assault by a lesser-known perpetrator and disclosure of the event. Cluster Two (n = 100) included a verbally instigated assault by a well-known perpetrator and nondisclosure of the event. Follow up independent t-tests revealed that women in Cluster One had significantly higher depression and posttraumatic stress disorder (PTSD) symptoms than women in Cluster Two. Results support prior research identifying clusters of victimization based on assault characteristics and suggest that disclosure status is a key variable in the recovery process. Specific implications for clinicians, policy makers, and the community are discussed.