Aker Servet, Şahin Mustafa Kürşat, Sezgin Serap, Oğuz Gülay
Servet Aker, MD, Public Health Directorate, Canik Community Health Center, Samsun, Turkey. Mustafa Kürşat Şahin, MD, Department of Family Medicine, School of Medicine, Ondokuz Mayis University, Samsun, Turkey Serap Sezgin, PhD, Faculty of Health Sciences, Ondokuz Mayis University, Samsun, Turkey Gülay Oğuz, MD, Simurg Academy, Samsun, Turkey.
J Addict Nurs. 2017 Oct/Dec;28(4):215-219. doi: 10.1097/JAN.0000000000000197.
Smartphone addiction is a recent concern that has resulted from the dramatic increase in worldwide smartphone use. The purpose of this cross-sectional study was to evaluate psychosocial factors affecting smartphone addiction in university students. The study was performed among students at the Ondokuz Mayis University Samsun School of Health (Samsun, Turkey) on October-December 2015. Four hundred ninety-four students possessing smartphones and agreeing to participate were included. A sociodemographic data form produced by the authors and consisting of 10 questions was administered together with a questionnaire involving the Smartphone Addiction Scale-Short Version (SAS-SV), the Flourishing Scale, the General Health Questionnaire, and the Multidimensional Scale of Perceived Social Support. The questionnaires were applied in a class environment at face-to-face interviews. SAS-SV scores of 6.47% of students were "significantly higher" than the participating group mean SAS-SV score. Multiple regression analysis revealed that depression, anxiety and insomnia, and familial social support statistically, significantly predicted smartphone addiction. Further studies of smartphone addiction in different age groups and with different educational levels are now needed.
智能手机成瘾是全球智能手机使用量急剧增加所引发的一个近期受到关注的问题。这项横断面研究的目的是评估影响大学生智能手机成瘾的心理社会因素。该研究于2015年10月至12月在土耳其萨姆松市于尔杜兹马伊斯大学健康学院的学生中进行。共有494名拥有智能手机并同意参与的学生被纳入研究。作者编制的一份包含10个问题的社会人口统计学数据表格与一份包含智能手机成瘾量表简版(SAS-SV)、繁荣量表、一般健康问卷和多维感知社会支持量表的问卷一起发放。这些问卷在课堂环境中通过面对面访谈的方式进行填写。6.47%的学生的SAS-SV得分“显著高于”参与组的平均SAS-SV得分。多元回归分析显示,抑郁、焦虑和失眠以及家庭社会支持在统计学上显著预测了智能手机成瘾。现在需要对不同年龄组和不同教育水平的智能手机成瘾情况进行进一步研究。