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Objectives: The primary purpose of the current study was to assess the effects of a mindfulness-based stress reduction (MBSR) program, facilitated by non-psychologist clinicians, for improving psychosocial well-being. A secondary purpose of the current study was to explore the role of self-compassion as a potential underlying factor for improvements in emotional distress. Application of these findings to a physical therapy setting is provided. Methods: One hundred and thirty participants with a variety of medical complaints completed an eight-week MBSR program at Vanderbilt University’s Osher Center for Integrative Medicine. Prior to the intervention and at the eight-week time point, participants completed measures for emotional distress (Brief Symptom Inventory), stress (Perceived Stress Scale-10), mindfulness (Mindfulness Attention and Awareness Scale), and self-compassion (Self-Compassion Scale). Wilcoxon signed-rank test was used to evaluate changes in outcomes after MBSR. Linear model estimation using ordinary least squares was used to evaluate the association between changes in self-compassion with changes in emotional distress. Results: Following MBSR, participants reported significant reductions in emotional distress (p < 0.001). Additionally, participants reported improvements in mindfulness and self-compassion (p < 0.001). Linear regression model revealed that changes in self-compassion were significantly associated with changes in emotional distress (p < 0.001). Discussion: An MBSR program conducted by non-psychologist clinicians was associated with improvements in emotional distress, stress, and self-compassion. MBSR is a promising adjunct intervention in which principles can be integrated within a physical therapy approach for chronic conditions. Level of Evidence: 3B

Health-related online social networks are starting to play a role in many people's daily lives by enabling them to monitor their diet and motivating them to change their lifestyles. These social networks provide different motivation mechanisms. However, little research has been done on the effectiveness of these motivation mechanisms. This research analyzes data collected from a digital health community to examine what mechanisms can help motivate people. The results suggest that there is a high level of correlation between users' exercise activities and their participation in these digital health communities. This research benefits the digital health communities by providing insights into the design of motivation mechanisms.

Wearable medical devices have enabled unobtrusive monitoring of vital signs and emerging biofeedback services in a pervasive manner. This article describes a wearable respiratory biofeedback system based on a generalized body sensor network (BSN) platform. The compact BSN platform was tailored for the strong requirements of overall system optimizations. A waist-worn biofeedback device was designed using the BSN. Extensive bench tests have shown that the generalized BSN worked as intended. In-situ experiments with 22 subjects indicated that the biofeedback device was discreet, easy to wear, and capable of offering wearable respiratory trainings. Pilot studies on wearable training patterns and resultant heart rate variability suggested that paced respirations at abdominal level and with identical inhaling/exhaling ratio were more appropriate for decreasing sympathetic arousal and increasing parasympathetic activities.