Second-generation mindfulness-based interventions (SG-MBIs) align well with positive psychology philosophy and practices, but trials of SG-MBIs have largely focused on ill-being. This study developed a mindfulness-based positive psychology (MBPP) intervention integrating positive psychology with an SG-MBI to enhance well-being. A randomized control trial was performed to compare MBPP with a waitlist condition among 138 Chinese participants. The results showed that MBPP significantly reduced negative emotions for subjective well-being and significantly improved environmental mastery for psychological well-being. Improvements in self-compassion and negative attitudes but not avoidance, mediated changes in well-being. Changes in positive emotions, positive relations, and awareness were associated with the amount of meditation practice. These findings showed that MBPP is promising for improving well-being and that the positive psychology components play important roles. Broadly, the study illustrated that positive psychology and SG-MBIs can be effectively integrated, and it supported the further application of SG-MBIs from the positive psychology perspective.
Facial stimuli are widely used in behavioural and brain science research to investigate emotional facial processing. However, some studies have demonstrated that dynamic expressions elicit stronger emotional responses compared to static images. To address the need for more ecologically valid and powerful facial emotional stimuli, we created Dynamic FACES, a database of morphed videos (n?=?1026) from younger, middle-aged, and older adults displaying naturalistic emotional facial expressions (neutrality, sadness, disgust, fear, anger, happiness). To assess adult age differences in emotion identification of dynamic stimuli and to provide normative ratings for this modified set of stimuli, healthy adults (n?=?1822, age range 18–86 years) categorised for each video the emotional expression displayed, rated the expression distinctiveness, estimated the age of the face model, and rated the naturalness of the expression. We found few age differences in emotion identification when using dynamic stimuli. Only for angry faces did older adults show lower levels of identification accuracy than younger adults. Further, older adults outperformed middle-aged adults’ in identification of sadness. The use of dynamic facial emotional stimuli has previously been limited, but Dynamic FACES provides a large database of high-resolution naturalistic, dynamic expressions across adulthood. Information on using Dynamic FACES for research purposes can be found at http://faces.mpib-berlin.mpg.de. 相似文献