Feasibility and Acceptability of a Community-Based Modified Mindfulness-Based Stress Reduction Program for the Under- and Unemployed

App-based mindfulness training supported eudaimonic wellbeing during the COVID19 pandemic

A randomized-controlled-trial study (N = 219) tested two pre-registered hypotheses that mobile-phone app-based mindfulness training improves wellbeing and increases self-transcendent emotions: gratitude, self-compassion, and awe. Latent change score modeling with a robust maximum likelihood estimator was used to test how those changes are associated in the training versus the waiting-list group. The training increased wellbeing and all self-transcendent emotions regardless of interindividual variance in the changes across time. Changes in all self-transcendent emotions were positively associated with changes in wellbeing. The strength of those associations was comparable in the waiting-list group and the training group. More studies are needed to test whether the effects of mindfulness practice on wellbeing are driven by increases in self-transcendent emotions. The study was conducted over 6 weeks during the COVID19 pandemic. The results indicate that the mindfulness training can be an easily accessible effective intervention supporting eudaimonic wellbeing in face of adversity.

Mindfulness-based interventions to support wellbeing of adults in low socio-economic settings: a realist review

BACKGROUND

Mindfulness as a modality involves training the innate human capacity for present-moment awareness with a view to cultivating a more harmonious and integrated life experience, especially in the face of hardship. Over the past four decades, the field of mindfulness has grown rapidly. Despite a substantial body of literature outlining the many benefits of mindfulness practice within a range of contexts and populations, the authors noticed that studies addressing the adaptation, application and value of mindfulness-based interventions (MBIs) for adults within socio-economically challenged setting were scant. To address this gap, we conducted a realist review of studies pertaining to MBIs within low socio-economic settings, to determine the extend and nature of research in this sector and culminating in a program theory which may be useful for the design of interventions going forward.

METHODS

We selected realist review as the methodology as it is well suited to investigating the complex nature of social interventions. The value of realist review is that the exploration of the causal relationships between the mechanisms (M) within a specific context (C) towards particular outcomes (O) offers a deeper understanding of the intervention which may assist in more effective delivery going forward. The review follows the guidelines presented by the Realist and Meta-narrative Evidence Synthesis - Evolving Standards project.

RESULTS

Of the 112 documents identified, 12 articles met the inclusion criteria. Of these 12 studies, 10 were conducted in the United States, with little representation across the rest of the globe. The interventions described in these articles were varied. We identified mechanisms that offered beneficial outcomes for participants across a range of contexts, with indications of how interventions might be adapted towards greater accessibility, acceptability, and feasibility within communities.

CONCLUSION

By reviewing the various programs in their respective contexts, we developed a program theory for implementing socio-culturally adapted MBIs in low socio-economic settings. In the future, this program theory could be tested as a means to create a sense of wellbeing for people living in low socio-economic settings.

The relationship between dimensions of empathy and symptoms of depression among university students during the COVID-19 pandemic: A network analysis

Background

The relationship between different dimensions of empathy and individual symptoms of depression during the COVID-19 pandemic remains unclear, despite the established link between empathy and depression. The network analysis offers a novel framework for visualizing the association between empathy and depression as a complex system consisting of interacting nodes. In this study, we investigated the nuanced associations between different dimensions of empathy and individual symptoms of depression using a network model during the pandemic.

Methods

1,177 students completed the Chinese version of the Interpersonal Reactivity Index (IRI), measuring dimensions of empathy, and the Chinese version of the Patient Health Questionnaire-9 (PHQ-9), measuring symptoms of depression. First, we investigated the nuanced associations between different dimensions of empathy and individual depressive symptoms. Then, we calculated the bridge expected influence to examine how different dimensions of empathy may activate or deactivate the symptoms of depression cluster. Finally, we conducted a network comparison test to explore whether network characteristics such as empathy-depression edges and bridge nodes differed between genders.

Results

First, our findings showed that personal distress was positively linked to symptoms of depression. These symptoms involved psychomotor agitation or retardation (edge weight = 0.18), sad mood (edge weight = 0.12), trouble with concentrating (edge weight = 0.11), and guilt (edge weight = 0.10). Perspective-taking was found to be negatively correlated with trouble with concentrating (edge weight = -0.11). Empathic concern was negatively associated with suicidal thoughts (edge weight = -0.10) and psychomotor agitation or retardation (edge weight = -0.08). Fantasy was not connected with any symptoms of depression. Second, personal distress and empathic concern were the most positive and negative influential nodes that bridged empathy and depression (values of bridge expected influence were 0.51 and -0.19 and values of predictability were 0.24 and 0.24, respectively). The estimates of the bridge expected influence on the nodes were adequately stable (correlation stability coefficient = 0.75). Finally, no sex differences in the studied network characteristics were observed.

Conclusions

This study applied network analysis to reveal potential pathways between different dimensions of empathy and individual symptoms of depression. The findings supported the existing theoretical system and contribute to the theoretical mechanism. We have also made efforts to suggest interventions and preventions based on personal distress and empathic concern, the two most important dimensions of empathy for depressive symptoms. These efforts may help Chinese university students to adopt better practical methods to overcome symptoms of depression during the COVID-19 pandemic.