Procrastination is a common and pervasive problem associated with a range of negative outcomes across a variety of life domains that often occurs when people are faced with tasks that are seen as aversive. In this paper, we argue that as a form of self-regulation failure, procrastination has a great deal to do with short-term mood repair and emotion regulation. Moreover, we contend that a temporal understanding of self and the mood-regulating processes involved in goal pursuit is particularly important in understanding procrastination, because the consequences of procrastination are typically borne by the future self. After summarizing the research on the priority of short-term mood regulation in procrastination, we then draw the connection between the focus on shortterm mood repair and the temporal disjunction between present and future selves. We present research that exemplifies these intra-personal processes in understanding temporal notions of self characterized by procrastination, and then link these processes to the negative consequences of procrastination for health and well-being. We conclude with a discussion of possible avenues for future research to provide further insights into how temporal views of the self are linked to the dynamics of mood regulation over time in the context of procrastination.
This study examined the factor structure of the Self-Compassion Scale (SCS) using secondary data drawn from 20 samples (N = 11,685)-7 English and 13 non-English-including 10 community, 6 student, 1 mixed community/student, 1 meditator, and 2 clinical samples. Self-compassion is theorized to represent a system with 6 constituent components: self-kindness, common humanity, mindfulness and reduced self-judgment, isolation and overidentification. There has been controversy as to whether a total score on the SCS or if separate scores representing compassionate versus uncompassionate self-responding should be used. The current study examined the factor structure of the SCS using confirmatory factor analyses (CFA) and Exploratory Structural Equation Modeling (ESEM) to examine 5 distinct models: 1-factor, 2-factor correlated, 6-factor correlated, single-bifactor (1 general self-compassion factor and 6 group factors), and 2-bifactor models (2 correlated general factors each with 3 group factors representing compassionate or uncompassionate self-responding). Results indicated that a 1- and 2-factor solution to the SCS had inadequate fit in every sample examined using both CFA and ESEM, whereas fit was excellent using ESEM for the 6-factor correlated, single-bifactor and correlated 2-bifactor models. However, factor loadings for the correlated 2-bifactor models indicated that 2 separate factors were not well specified. A general factor explained 95% of the reliable item variance in the single-bifactor model. Results support use of the SCS to examine 6 subscale scores (representing the constituent components of self-compassion) or a total score (representing overall self-compassion), but not separate scores representing compassionate and uncompassionate self-responding. (PsycINFO Database Record
Self-compassion may be an important quality to cultivate for promoting positive health behaviors, due in part to its association with adaptive emotions.
A recent review suggested that self-compassion promotes use of adaptive rather than maladaptive coping. Less is known about how self-compassion is linked to stress and coping in the context of a chronic stressor. Across two primarily female chronic illness samples, inflammatory bowel disease (N = 155) and arthritis (N = 164), a model linking self-compassion to lower stress through coping styles and coping efficacy was tested. Path analyses revealed significant indirect effects for adaptive coping styles (active, positive reframing, and acceptance), and negatively for maladaptive coping styles (behavioral disengagement and self-blame) in both samples. Findings suggest that the relative balance of adaptive and maladaptive coping strategies used by self-compassionate people is associated with better coping outcomes in the context of chronic illness.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.