Evidence map›Paper›PMID 34909006›Full record

ArticleClinical neuropsychiatry2020

Association of Loss Aversion, Personality Traits, Depressive, Anxious, and Suicidal Symptoms: Systematic Review.

Cristina Yumi Nogueira Sediyama, Carolina de Castro Martins, Maycoln Leôni Martins Teodoro

Open access · greenAbstract read
In one paragraph

Article in Clinical neuropsychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Cristina Yumi Nogueira SediyamaFederal University of Minas Gerais (UFMG) Belo Horizonte - MG, Faculty of Philosophy and Human Sciences, Program Psychology Cognition and Behavior.
Carolina de Castro MartinsFederal University of Minas Gerais (UFMG) Belo Horizonte - MG, Faculty of Philosophy and Human Sciences, Program Psychology Cognition and Behavior.
Maycoln Leôni Martins TeodoroFederal University of Minas Gerais (UFMG) Belo Horizonte - MG, Faculty of Philosophy and Human Sciences, Program Psychology Cognition and Behavior.
Universidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLoss aversion is defined as the individual perception of losses with a more significant impact than the gains of the same proportion, where people would be more sensitive to the possibility of losing objects or money than to the possibility of winning, even the same quantities. However, studies relating to loss aversion and psychological factors are still incipient. The aim of the present literature review was to identify and analyze the results of studies that investigated loss aversion regarding personality traits and symptoms of depression, anxiety, and suicidal tendencies.

methodA systematic review was done through PUBMED and Scopus databases. Descriptors were defined according to each database specificities.

resultsAt first, 103 articles were encountered. After evaluation of the inclusion and exclusion criteria, there were a total of 14 remaining articles that were group together into six categories related to loss aversion, depression, anxiety, suicidal tendencies, and personality.

conclusionsThe present study contributes to the literature mapping in the Behavioural Economics field. However, discrepancies were found among the studies, which made it difficult to acquire more conclusive findings.

Indexed as

behavioural economicsloss aversionpsychology

Identifiers

PMID34909006
PMCPMC8629034
OpenAlexW4206417976

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.