
doi: 10.1111/aphw.12468
pmid: 37432062
Abstract A randomized‐controlled‐trial study ( N = 219) tested two pre‐registered hypotheses that mobile‐phone app‐based mindfulness training improves wellbeing and increases self‐transcendent emotions: gratitude, self‐compassion, and awe. Latent change score modeling with a robust maximum likelihood estimator was used to test how those changes are associated in the training versus the waiting‐list group. The training increased wellbeing and all self‐transcendent emotions regardless of interindividual variance in the changes across time. Changes in all self‐transcendent emotions were positively associated with changes in wellbeing. The strength of those associations was comparable in the waiting‐list group and the training group. More studies are needed to test whether the effects of mindfulness practice on wellbeing are driven by increases in self‐transcendent emotions. The study was conducted over 6 weeks during the COVID19 pandemic. The results indicate that the mindfulness training can be an easily accessible effective intervention supporting eudaimonic wellbeing in face of adversity.
Emotions, Humans, COVID-19, Mindfulness, Mobile Applications, Pandemics
Emotions, Humans, COVID-19, Mindfulness, Mobile Applications, Pandemics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
