Evidence map›Paper›PMID 33389414›Full record

ArticleJournal of gambling studies2021

Self-compassion Buffers Impaired Decision-Making by Potential Problem Gamblers in a Casino Setting.

Daniel S Bailis, Nicolas J Brais, Alanna N Single, Benjamin J I Schellenberg

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of gambling studies, 2021. 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.

Daniel S BailisDepartment of Psychology, University of Manitoba, P437 Duff Roblin Bldg., Winnipeg, MB, R3T2N2, Canada. Dan.Bailis@umanitoba.ca.ORCID http://orcid.org/0000-0001-7963-4441
Nicolas J BraisDepartment of Psychology, University of Manitoba, P437 Duff Roblin Bldg., Winnipeg, MB, R3T2N2, Canada.
Alanna N SingleDepartment of Psychology, University of Manitoba, P437 Duff Roblin Bldg., Winnipeg, MB, R3T2N2, Canada.
Benjamin J I SchellenbergFaculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, Canada.

Funding

Manitoba Gambling Research Program SM-15-18
6 · The paper itself

Abstract

Self-compassionate individuals treat themselves kindly when undergoing stress. The present study examined self-compassion's relationship to risky decision-making on a gambling task by 240 problem and non-problem gamblers who were tested in a casino setting. Multi-level modeling analyses showed that participants expressed differential rates of learning to avoid risks on the gambling task, depending on their status as potential problem/non-problem gamblers and their level of self-compassion. Among potential problem gamblers, participants higher in self-compassion showed significant gains in performance over decision-making trials, which approximated those of non-problem gamblers and adults without impairments in the population. In contrast, potential problem gamblers lower in self-compassion showed chance levels of performance, which approximated those of adults with impairments. In some circumstances, self-compassion can disinhibit individuals from taking greater risks. For potential problem gamblers in a casino setting, however, the benefits of self-compassion as a means to reinforce self-control appear to outweigh the risks.

Indexed as

EmpathySelf ConceptAdolescentAdultAgedAged, 80 and overBehavior, AddictiveDecision MakingFemaleGamblingHumansMaleMiddle AgedRisk-TakingYoung AdultIowa gambling taskMulti-level modelingProblem gambling severity indexRisky decision-makingSelf-compassion

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.