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Applied Psychology Health and Well-Being
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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App‐based mindfulness training supported eudaimonic wellbeing during the COVID19 pandemic

Authors: Agnieszka Golec de Zavala; Oliver Keenan; Matthias Ziegler; Pawel Ciesielski; Julia E. Wahl; Magdalena Mazurkiewicz;

App‐based mindfulness training supported eudaimonic wellbeing during the COVID19 pandemic

Abstract

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.

Keywords

Emotions, Humans, COVID-19, Mindfulness, Mobile Applications, Pandemics

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
hybrid