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dc.contributor.authorMedvedev, Oleg N.en_NZ
dc.contributor.authorCervin, Mattien_NZ
dc.contributor.authorBarcaccia, Barbaraen_NZ
dc.contributor.authorSiegert, Richard J.en_NZ
dc.contributor.authorRoemer, Anjaen_NZ
dc.contributor.authorKrägeloh, Christian U.en_NZ
dc.coverage.spatialUnited Statesen_NZ
dc.date.accessioned2020-12-08T02:01:37Z
dc.date.available2020-12-08T02:01:37Z
dc.date.issued2020en_NZ
dc.identifier.citationMedvedev, O. N., Cervin, M., Barcaccia, B., Siegert, R. J., Roemer, A., & Krägeloh, C. U. (2020). Network analysis of mindfulness facets, affect, compassion, and distress. Mindfulness, 1–12. https://doi.org/10.1007/s12671-020-01555-8en
dc.identifier.issn1868-8527en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/14008
dc.description.abstractObjectives: Mindfulness, positive affect, and compassion may protect against psychological distress but there is lack of understanding about the ways in which these factors are linked to mental health. Network analysis is a statistical method used to investigate complex associations among constructs in a single network and is particularly suitable for this purpose. The aim of this study was to explore how mindfulness facets, affect, and compassion were linked to psychological distress using network analysis. Methods: The sample (n = 400) included equal numbers from general and student populations who completed measures of five mindfulness facets, compassion, positive and negative affect, depression, anxiety, and stress. Network analysis was used to explore the direct associations between these variables. Results: Compassion was directly related to positive affect, which in turn was strongly and inversely related to depression and positively related to the observing and describing facets of mindfulness. The non-judgment facet of mindfulness was strongly and inversely related to negative affect, anxiety, and depression, while non-reactivity and acting with awareness were inversely associated with stress and anxiety, respectively. Strong associations were found between all distress variables. Conclusions: The present network analysis highlights the strong link between compassion and positive affect and suggests that observing and describing the world through the lens of compassion may enhance resilience to depression. Taking a non-judging and non-reacting stance toward internal experience while acting with awareness may protect against psychological distress. Applicability of these findings can be examined in experimental studies aiming to prevent distress and enhance psychological well-being.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherSpringer
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.subjectAffecten_NZ
dc.subjectAnxietyen_NZ
dc.subjectCompassionen_NZ
dc.subjectDepressionen_NZ
dc.subjectMindfulnessen_NZ
dc.subjectNetwork analysisen_NZ
dc.subjectStressen_NZ
dc.titleNetwork analysis of mindfulness facets, affect, compassion, and distress.en_NZ
dc.typeJournal Article
dc.identifier.doi10.1007/s12671-020-01555-8en_NZ
dc.relation.isPartOfMindfulnessen_NZ
pubs.begin-page1
pubs.elements-id258395
pubs.end-page12
pubs.publication-statusPublished onlineen_NZ


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