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The evidence base supporting mindfulness meditation training (MMT) as a potential intervention for anxiety, depression, and stress has grown dramatically in the last few decades. As MMT has grown in popularity, considerable variation has arisen in the way that mindfulness is conceptualized and in the trainings and interventions that have been included under this umbrella term. Increasing popularity has also raised concerns about how MMTs seem to have their effects. While previous studies have examined a wide variety of potential mechanisms, few studies have simultaneously examined these processes, potentially limiting conclusions about how MMTs might best be characterized as having their effects. The present study aimed to compare aspects of mindfulness, self-compassion, and emotion regulation, ascertaining which was most predictive of changes in anxiety, depression, and stress among 58 participants, randomly assigned on a 2:1 basis to MMT training or wait-list in a pre-/post-assessment design. The results indicated that the facets of overidentification and self-judgment (components of self-compassion) were most robustly predictive of changes in outcome variables, though mindfulness and emotion regulation also contributed. The findings suggest that mindfulness, as a process, may be more complicated than some have given credit and that attention and emotional balance may be particularly important aspects related to its effects.
Mindfulness has received considerable attention as a correlate of psychological well-being and potential mechanism for the success of mindfulness-based interventions (MBIs). Despite a common emphasis of mindfulness, at least in name, among MBIs, mindfulness proves difficult to assess, warranting consideration of other common components. Self-compassion, an important construct that relates to many of the theoretical and practical components of MBIs, may be an important predictor of psychological health. The present study compared ability of the Self-Compassion Scale (SCS) and the Mindful Attention Awareness Scale (MAAS) to predict anxiety, depression, worry, and quality of life in a large community sample seeking self-help for anxious distress (N = 504). Multivariate and univariate analyses showed that self-compassion is a robust predictor of symptom severity and quality of life, accounting for as much as ten times more unique variance in the dependent variables than mindfulness. Of particular predictive utility are the self-judgment and isolation subscales of the SCS. These findings suggest that self-compassion is a robust and important predictor of psychological health that may be an important component of MBIs for anxiety and depression.