Evidence map›Paper›PMID 39199027›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Exploring the Relationship between Self-Compassion and Psychological Pain: A Canonical Correlation Analysis.

Ariana Garabedian, Alexandra Dluzniewski, Russell T Baker, Madeline P Casanova

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ariana GarabedianWWAMI Medical Education Program, University of Idaho, Moscow, ID 83844, USA.ORCID 0009-0008-9376-1840
Alexandra DluzniewskiIdaho Office of Rural and Underserved Medical Research, University of Idaho, Moscow, ID 83844, USA.ORCID 0009-0000-0477-5098
Russell T BakerIdaho Office of Rural and Underserved Medical Research, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0003-3352-9632
Madeline P CasanovaIdaho Office of Rural and Underserved Medical Research, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0001-8383-3232

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Carolyn Hovde Bohach · 2012 to 2026
$59.8M
National Institute of General Medical Sciences of the National Institutes of Health P20GM103408NIGMS NIH HHS P20 GM103408
6 · The paper itself

Abstract

This study investigated the association between self-compassion and psychological pain across various demographic variables. Using canonical correlation analysis, we observed an inverse relationship between the combined factors of the Self-Compassion Scale (SCS) and the Orbach and Mikulincer Mental Pain Scale (OMMP-8). Subgroup analyses revealed differences in SCS subscales among demographic groups with females, individuals with mental health diagnoses, and non-athletes displaying higher scores on negative SCS subscales and PsyPn. Injury status did not significantly affect self-compassion levels, although injured individuals scored higher on the irreversibility subscale of PsyPn. Negative SCS factors exhibited larger group differences and stronger correlations with PsyPn, indicating the potency of negative thinking in influencing psychological pain. These findings underscore the importance of self-compassion in mental health and suggest potential implications for intervention strategies.

Indexed as

canonical correlationpositive psychologypsychological painself-compassion

Identifiers

PMID39199027
PMCPMC11352143

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.