Evidence map›Paper›PMID 41464092›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Profiles Vulnerable to Maladaptive Use of Recreational Digital Environments Identified Using the Big Five Model.

Bárbara Caffarel-Rodríguez, Andrés González Llamas, Elena Porras-García

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bárbara Caffarel-RodríguezDepartment of Audiovisual Communication and Advertising Studies, Rey Juan Carlos University, 28942 Madrid, Spain.ORCID 0000-0002-2388-7623
Andrés González LlamasDepartment of Communication and Sociology, Rey Juan Carlos University, 28942 Madrid, Spain.ORCID 0009-0004-8601-6958
Elena Porras-GarcíaDepartment of Physiology, Anatomy and Cell Biology Pablo de Olavide University, 41013 Seville, Spain.ORCID 0000-0003-4995-2021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Big Five Model has been widely applied across various areas for detecting problematic or even antisocial behaviors. This research explores its potential to identify behavior patterns and usage profiles in digital environments, such as social media use, digital gaming, and related activities. This study first conducted a literature review on mobile phone use, video game addiction, and social media overuse through the lens of the Big Five Model. Then, empirical data from 492 participants were analyzed to assess how each personality trait is associated with exposure to excessive internet use. The results shown that individuals with high openness and extraversion are more likely to engage intensively with social media and online entertainment, whereas those with higher levels of neuroticism, agreeableness, or conscientiousness display lower exposure. These findings align with previous research linking personality traits to neuroanatomical patterns that shape behavioral tendencies. This study suggests that specific personality traits, as defined by the Big Five Model, influence the use of digital media and advertising channels, potentially fostering addictive behaviors in users with higher openness and extraversion.

Indexed as

addictionBig fivecognitiondigital leisure and harmful use of the internetneuroanatomysocial media

Identifiers

PMID41464092
PMCPMC12729823

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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.