Evidence map›Paper›PMID 36441760›Full record

ArticlePloS one2022

Characterization and prediction of gambling behavior in adolescents using the COM-B model.

Álvaro Botella-Guijarro, Daniel Lloret-Irles, José Vicente Segura-Heras, Juan A Moriano-León

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Álvaro Botella-GuijarroDepartment of Social and Organizational Psychology, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.ORCID 0000-0001-9718-9193
Daniel Lloret-IrlesHealth Psychology Department, Universidad Miguel Hernández de Elche, Elche, Spain.
José Vicente Segura-HerasOperations Research Center, Universidad Miguel Hernández de Elche, Elche, Spain.
Juan A Moriano-LeónDepartment of Social and Organizational Psychology, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.ORCID 0000-0002-8332-1314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gambling is an international phenomenon, posing a serious threat to adolescents who begin gambling at a young age. This study aims, to explore gambling behavior in adolescents and interpret its risk factors. We conducted a three-waves cohort longitudinal study assessing gambling and associated risk factors in south-eastern Spain. Data were analyzed using the Capabilities, Opportunities, Motivations, Behavior (COM-B) model and the partial least squares path modelling (PLS-PM) technique. Gambling was measured by frequency and money spent; associated factors were knowledge about gambling, parental attitude towards gambling, risk perception, normative perception, and intention to gamble. These items were assigned as indicators of each construct of the COM-B model-capability, opportunity, motivation, and behavior-using the theoretical domains framework. Once the behavior was performed, feedback on future capability, opportunity, and motivation was observed. Results show that capability, determined by past experience, and opportunity, determined by parental attitudes, motivates adolescents to seek gambling experiences in the future. Identifying such factors that affect gambling behavior in adolescents and establishing relationships between them through a robust theoretical model is essential for designing effective interventions.

Indexed as

GamblingAdolescentHumansIntentionKnowledgeLongitudinal StudiesMotivation

Identifiers

PMID36441760
PMCPMC9704688

What OpenQuestion holds

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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.