Evidence map›Paper›PMID 42073982›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Social Media Use Profiles in Adolescents: A Cluster Analysis of Interpersonal Difficulties and Social Anxiety.

Natalia Morán-Pallero, Elena Felipe-Castaño, Margarita Gozalo, Marina Rojas-Valverde

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

4 authors.

Natalia Morán-PalleroConsejería de Educación, Junta de Extremadura, 10002 Caceres, Spain.
Elena Felipe-CastañoDepartment of Psychology and Anthropology, Faculty of Teacher Training College, University of Extremadura, 10071 Caceres, Spain.ORCID 0000-0001-6167-877X
Margarita GozaloDepartment of Psychology and Anthropology, Faculty of Sport Science (Psychology Laboratory), University of Extremadura, 10005 Caceres, Spain.ORCID 0000-0003-0823-6344
Marina Rojas-ValverdeDepartment of Psychology and Anthropology, Faculty of Teacher Training College, University of Extremadura, 10071 Caceres, Spain.ORCID 0009-0003-5355-8446

Funding

This publication has been co-financed 85% by the European Union, European Regional Devel-opment Fund, and the Regional Government of Extremadura. Managing Authority, Ministry of Finance GR24031
6 · The paper itself

Abstract

Social media (SM) are virtual platforms for interpersonal interactions and play a significant role in the well-being of adolescents. It is therefore essential to understand how they use SM and how this use relates to interpersonal difficulties and social anxiety. The primary aim of this study was to examine SM use profiles together with interpersonal difficulties and social anxiety in a sample of adolescents. The sample comprised 304 adolescents aged 16-18 years, selected through probabilistic sampling: 170 (55.9%) were female and 134 (44.1%) were male. Four SM use profiles were identified, according to sex, time spent on SM, and number of accounts. Differences in interpersonal difficulties and social anxiety were observed across profiles, particularly among adolescents who showed intensive SM-centred use of the internet. Differences between males and females were also evident. The findings and their implications for the development of programmes aimed at encouraging healthy SM use among adolescents with a special focus on interpersonal well-being are discussed.

Indexed as

adolescencecluster analysisinterpersonal difficultiessocial anxietysocial media

Identifiers

PMID42073982
PMCPMC13113016

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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.