Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prevalence and predictors of problematic smartphone use in a sample of Spanish undergraduate students

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月27日

查看全文
  • Enrique Ramón-Arbués,
  • Emmanuel Echániz-Serrano,
  • José Manuel Granada-López,
  • Pedro José Satústegui-Dordá,
  • María Teresa Fernández-Rodrigo,
  • Lucía Sagarra-Romero

摘要

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.