Evidence map›Paper›PMID 32573467›Full record

ArticleJournal of behavioral addictions2020

The influence of chronological age on cognitive biases and impulsivity levels in male patients with gambling disorder.

Roser Granero, Fernando Fernández-Aranda, Susana Valero-Solís, Amparo Del Pino-Gutiérrez, Gemma Mestre-Bach, Isabel Baenas, S Fabrizio Contaldo, Mónica Gómez-Peña, Neus Aymamí, Laura Moragas and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 14 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

16 authors at 3 institutions in 1 country.

Roser Granero1CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Fernando Fernández-Aranda1CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Susana Valero-Solís3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Amparo Del Pino-Gutiérrez3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Gemma Mestre-Bach1CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Isabel Baenas3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
S Fabrizio Contaldo3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Mónica Gómez-Peña3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Neus Aymamí3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Laura Moragas3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Cristina Vintró3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Teresa Mena-Moreno1CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Eduardo Valenciano-Mendoza3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Bernat Mora-Maltas3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
José M Menchón3Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain.
Susana Jiménez-Murcia1CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-3596-8033
Bellvitge University Hospital · ESInstituto de Salud Carlos III · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDue to the contribution of age to the etiology of gambling disorder (GD), there is a need to assess the moderator effect of the aging process with other features that are highly related with the clinical profile. The objective of this study is to examine the role of the chronological age into the relationships between cognitive biases, impulsivity levels and gambling preference with the GD profile during adulthood.

methodsSample included n = 209 patients aged 18-77 years-old recruited from a Pathological Gambling Outpatients Unit. Orthogonal contrasts explored polynomial patterns in data, and path analysis implemented through structural equation modeling assessed the underlying mechanisms between the study variables.

resultsCompared to middle-age patients, younger and older age groups reported more impairing irrational beliefs (P = 0.005 for interpretative control and P = 0.043 for interpretative bias). A linear trend showed that as people get older sensation seeking (P = 0.006) and inability to stop gambling (P = 0.018) increase. Path analysis showed a direct effect between the cognitive bias and measures of gambling severity (standardized effects [SE] between 0.12 and 0.17) and a direct effect between impulsivity levels and cumulated debts due to gambling (SE = 0.22).

conclusionScreening tools and intervention plans should consider the aging process. Specific programs should be developed for younger and older age groups, since these are highly vulnerable to the consequences of gambling activities and impairment levels of impulsivity and cognitive biases.

Indexed as

AdolescentAdultAgedAge FactorsAgingCognitive DysfunctionGamblingHumansImpulsive BehaviorMaleMiddle AgedSeverity of Illness IndexThinkingYoung Adultcognitive biasesgambling disorderimpulsivityolder agepath analysisyounger age

Identifiers

PMID32573467
PMCPMC8939415
OpenAlexW3037410708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.