Işik Kevser, İster Emine Derya
Faculty of Health Sciences, Department of Public Health Nursing, Gaziantep University, Gaziantep, Turkey.
Faculty of Health Sciences, Department of Internal Medicine Nursing, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey.
Int J Environ Health Res. 2025 Jun;35(6):1571-1580. doi: 10.1080/09603123.2024.2396444. Epub 2024 Aug 29.
This study was conducted to determine the smartphone addiction and severity of depressive symptoms of high school students. In this descriptive cross-sectional and correlational study, the sample consisted of 1744 high school students. In the study, data were collected using a Descriptive Questionnaire, the Smartphone Addiction Scale-Short Form, and the Depression Scale for Children. Data were analyzed in independent groups Student's t test, One-way ANOVA, Pearson correlation analysis, and a multiple regression model. It was determined that the students' mean smartphone addiction score was affected by gender, grade level, school success, having problems with the family, relationship with family, relationship with friends, and social self-evaluation. The mean depression score was affected by family type, economic status, social self-evaluation. According to the multiple regression analysis, effects of socio-demographic variables on smartphone addiction were 25%. It was concluded that the socio-demographic characteristics of high school students have an effect on smartphone addiction and depression.
本研究旨在确定高中生的智能手机成瘾情况及抑郁症状的严重程度。在这项描述性横断面相关性研究中,样本包括1744名高中生。在研究中,使用描述性问卷、智能手机成瘾量表简版和儿童抑郁量表收集数据。数据采用独立样本t检验、单因素方差分析、Pearson相关分析和多元回归模型进行分析。结果发现,学生的平均智能手机成瘾得分受性别、年级、学业成绩、与家庭存在问题、与家人的关系、与朋友的关系以及社会自我评估的影响。平均抑郁得分受家庭类型、经济状况、社会自我评估的影响。根据多元回归分析,社会人口统计学变量对智能手机成瘾的影响为25%。研究得出结论,高中生的社会人口统计学特征对智能手机成瘾和抑郁有影响。