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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1038/s41598-025-28829-2</dc:identifier><dc:language>eng</dc:language><dc:creator>Ramón-Arbués, Enrique</dc:creator><dc:creator>Echániz-Serrano, Emmanuel</dc:creator><dc:creator>Granada-López, José Manuel</dc:creator><dc:creator>Satústegui-Dordá, Pedro José</dc:creator><dc:creator>Fernández-Rodrigo, María Teresa</dc:creator><dc:creator>Sagarra-Romero, Lucía</dc:creator><dc:title>Prevalence and predictors of problematic smartphone use in a sample of Spanish undergraduate students</dc:title><dc:identifier>ART-2025-147281</dc:identifier><dc:description>The aim of this study was to determine the prevalence and predictors of problematic smartphone use (PSU) in a sample of young Spanish university students. A descriptive cross-sectional study was conducted in a sample of university students. An online questionnaire collected data on socio-demographic characteristics, health-related behaviours, loneliness, life satisfaction and smartphone use. PSU was assessed using the Smartphone Addiction Scale-Short Version. Logistic regression analysis was used to examine predictors of PSU. 545 students (52.5% female) participated in the study. PSU was present in 33.8% of participants. PSU was associated with duration of device use (OR = 1.39; 95%CI 1.22–1.58), smartphone use before sleep (OR = 3.31; 95%CI 1.32–8.30), preferred use for entertainment purposes (OR = 5.03; 95%CI 1.32–19.17), smoking (OR = 1.75; 95%CI 1.07–2.87), alcohol consumption (OR = 1.60; 95%CI 1.30–1.98) and loneliness (OR = 1.20; 95%CI 1.03–1.40). In contrast, high physical activity was a protective factor for PSU (OR = 0.55; 95%CI 0.31–0.98). Prevalence of PSU is high among Spanish university students. Loneliness, smartphone use habits and certain health-related behaviours are predictors of PSU. Our findings highlight the need to formulate policies and institutional guidelines that promoted a balanced use of technology.</dc:description><dc:date>2025</dc:date><dc:source>http://zaguan.unizar.es/record/165617</dc:source><dc:doi>10.1038/s41598-025-28829-2</dc:doi><dc:identifier>http://zaguan.unizar.es/record/165617</dc:identifier><dc:identifier>oai:zaguan.unizar.es:165617</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/B53-23R</dc:relation><dc:identifier.citation>Scientific reports (Nature Publishing Group) 15, 45457 (2025), 12</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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