Women's Experiences with a Mindful Eating Program for Binge and Emotional Eating: A Qualitative Investigation into the Process of Change (original) (raw)
Abstract
Objectives: Mindfulness-based interventions (MBIs) have been shown to reduce engagement in disordered eating behaviors, although how these interventions engender change remains unclear. The objective of this exploratory qualitative study was to describe the experiences and perceived attitudinal and behavioral changes of women participating in a mindful eating program. Design: Focus group discussions were held with women participating in a community-based mindful eating program for binge and emotional eating. A semistructured interview guide was used to explore participants' conceptualizations of mindfulness-based attitudinal and behavior change, as related to food, eating, and body image. The focus group discussions were audio-recorded, transcribed, and analyzed using thematic analysis to identify salient concepts. Settings/Location: Focus group discussions were held at the Center for Mindfulness at the University of Massachusetts Medical School (UMMS) (United States). Participants: A sample of nine women who were enrolled in the mindful eating program at UMMS for problems with self-reported binge and/or emotional eating participated in this study. Results: Four themes were constructed that described a process of mindfulness-based behavior change, including (1) Learning Through Self-Awareness, (2) Self-Empowerment, (3) Mindful Choice-Making, and (4) Resilient Self-Care. An overarching description of the participants' perceived attitudinal and behavior changes was developed: ''unforced freedom of choice, emerging from embodied awareness.'' Conclusions: These findings suggest that MBIs reduce may disordered eating behaviors through empowering women to make positive choices about food, eating, and coping, without focusing on weight control. Future research is needed to examine whether these findings replicate in larger and more diverse samples, and how they can be used to optimize and implement eating-specific MBIs in community-based settings.
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