Evidence map›Paper›PMID 33262860›Full record

ArticleMindfulness2021

Network Analysis of Mindfulness Facets, Affect, Compassion, and Distress.

Oleg N Medvedev, Matti Cervin, Barbara Barcaccia, Richard J Siegert, Anja Roemer, Christian U Krägeloh

Abstract read
In one paragraph

Article in Mindfulness, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Oleg N MedvedevUniversity of Waikato, School of Psychology, Hillcrest, Hamilton, 3216 New Zealand.ORCID 0000-0002-0529-9764
Matti CervinLund University, Lund, Sweden.
Barbara BarcacciaSapienza University of Rome, Rome, Italy.
Richard J SiegertAuckland University of Technology, Auckland, New Zealand.
Anja RoemerUniversity of Waikato, School of Psychology, Hillcrest, Hamilton, 3216 New Zealand.
Christian U KrägelohAuckland University of Technology, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMindfulness, 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.

methodsThe sample (

resultsCompassion 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.

conclusionsThe 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.

Indexed as

AffectAnxietyCompassionDepressionMindfulnessNetwork analysisStress

Identifiers

PMID33262860
PMCPMC7689647

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.