Problematic internet use profiles and their associated factors among adolescents

The cognitive- behavioral model of generalized Problematic Internet Use (PIU) is the theoretical approach that has obtained the most evidence on the study of this problem, which includes four components: Online Social Preference, Mood Regulation, Deficient Self- Regulation, and Negative Outcomes. Th...

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Detalles Bibliográficos
Autores: Piqueras, José A., Rico Bordera, Pilar, Galán, Manuel, García Oliva, Carlos, Marzo Campos, Juan Carlos, Pineda, David
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Miguel Hernández de Elche
Repositorio:REDIUMH. Depósito Digital de la UMH
OAI Identifier:oai:dspace.umh.es:11000/35030
Acceso en línea:https://hdl.handle.net/11000/35030
Access Level:acceso abierto
Palabra clave:adolescents
internet addiction
latent profile analysis
problematic internet use
risk factors
CDU::1 - Filosofía y psicología::159.9 - Psicología
Descripción
Sumario:The cognitive- behavioral model of generalized Problematic Internet Use (PIU) is the theoretical approach that has obtained the most evidence on the study of this problem, which includes four components: Online Social Preference, Mood Regulation, Deficient Self- Regulation, and Negative Outcomes. This study aimed to identify PIU profiles using Latent Profile Analysis, and to analyze the differences in them attending to some of the principal PIU risk and protective factors. A total of 675 Spanish adolescents completed questionnaires assessing PIU, Internet usage, mental health problems, personality, psychological strengths, and family relationships. Four profiles were obtained: Nonproblematic use (68.30% of the sample), Slightly problematic use (17.90% of the sample), Problematic use (8.50% of the sample), and Severe problematic use (5.40% of the sample). Results showed differences between them, with the profile with more PIU having more risk factors and less protective factors. Results showed that many different personal and social variables included in the study play a role in PIU. Knowing the different PIU profiles can help in the design of more specific and precise procedures and instruments for risk assessment, as well as aiding in prevention and in the design of more individualized treatments.