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Behaviour patterns on social media and their associations with cognitive, social and emotional skills in university students

Bibliographic Data

ID15699341
AuthorsNéstor Guerrero-Gutiérrez (University of Pamplona), Silvia Juliana Rojas-Cadena (University of Pamplona), Eliana María Ibáñez Casadiegos (0000-0002-0379-1309, University of Pamplona), Eliana Ibáñez-Casadiegos, Astrid Rozo-Sánchez (University of Pamplona), Daniel Cepeda-Pineda (0009-0006-8677-2731, Universidad de La Sabana), Sandra Milena Carrillo-Sierra (0000-0001-9848-2367, University of Pamplona, corresponding author), Sandra-Milena Carrillo-Sierra (corresponding author), Valmore Bermúdez (0000-0003-1880-8887, Universidad Simón Bolívar), Julio Contreras-Velásquez (0000-0002-5179-5400, University of the Coast), Julio César Contreras-Velásquez, Yulineth Gómez-Charris (0000-0003-3630-3276, University of the Coast), Diego Rivera-Porras (0000-0003-2169-3208, University of the Coast)
Year2026
Volume14
Issue1
Publication date2026-02-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Psychology (JOURNAL)
Journal identifiersISSN: 2050-7283 • E-ISSN: 2050-7283
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s40359-026-04109-0
PMID41749303
OpenAlexW7131641911
LanguageEN
References cited48

Research on digital behaviour has largely centred on aggregated screen-time metrics, which offer limited insight into how distinct patterns of engagement within social media environments relate to psychosocial competencies. Life skills—encompassing cognitive, social and emotional domains—are fundamental to adaptive functioning in young adults, yet the behavioural features of online interaction that align with these capacities remain insufficiently characterised. A cross-sectional study was carried out with 1,140 university students aged 18–25. Participants completed a questionnaire assessing instrumental, passive and reactive social media behaviours, alongside a validated measure of life skills. Analytical procedures included descriptive statistics, Spearman correlations, exploratory factor analysis and structural equation modelling. Reliability coefficients were estimated from the present sample, and model fit indices were examined to assess structural coherence. Instrumental engagement displayed small positive associations with cognitive and social life skills. Passive browsing and reactive interaction showed small negative associations with emotional and social skills. Although modest in magnitude, these associations displayed a stable configuration across the analytical models, suggesting that behavioural differentiation within social media use aligns with distinct life-skill profiles. The study contributes to a more nuanced understanding of digital engagement by shifting the analytical focus from global usage frequency to behaviour-specific patterns. Instrumental, goal-directed use aligned with more adaptive skill configurations, whereas passive and reactive tendencies were associated with less favourable profiles. The cross-sectional design and the demographic composition of the sample constrain generalisability, underscoring the need for longitudinal and diverse population studies. The findings reinforce the relevance of intentional and reflective digital practices within university settings, where online interaction is embedded in daily life

Computer-assisted web interviewing · Exploratory factor analysis · Exploratory research · Population · Psychosocial · Relevance (law · Social cognitive theory · Social media · Structural equation modeling · Child Development and Digital Technology · Impact of Technology on Adolescents · Media Influence and Health

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