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Informes Psicológicos
Article . 2025 . Peer-reviewed
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Sexting, afecto positivo y afecto negativo en universitarios colombianos durante la era digital

Authors: Erika Patricia Ruiz Gonzalez; Kattia Cabas Hoyos; Oscar Armando Erazo Santander; null Martha Nereida Muñoz Argel;

Sexting, afecto positivo y afecto negativo en universitarios colombianos durante la era digital

Abstract

Sexting is the exchange of information through images, messages, or videos with sexual content via electronic devices. Studies on this topic from a positive perspective are scarce, as most research approaches it from a legal standpoint and in relation to psychological risks. In this regard, a quantitative and correlational study was conducted with 970 university students to analyze sexting behavior and subjective well-being. The Sexting Behavior Scale (ECS) and the Positive and Negative Affect Scale (PNA-10) were used. Associations between positive and negative affect and sexting were observed, and findings suggest that men are more inclined than women to engage in sexting. However, no genderdifferences were found in emotional expression or actual sexting behavior.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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