Matar Boumosleh Jocelyne, Jaalouk Doris
Department of Nursing and Health Sciences, Notre Dame University-Louaize, Zouk Mosbeh, Lebanon.
PLoS One. 2017 Aug 4;12(8):e0182239. doi: 10.1371/journal.pone.0182239. eCollection 2017.
The study aims to assess prevalence of smartphone addiction symptoms, and to ascertain whether depression or anxiety, independently, contributes to smartphone addiction level among a sample of Lebanese university students, while adjusting simultaneously for important sociodemographic, academic, lifestyle, personality trait, and smartphone-related variables.
A random sample of 688 undergraduate university students (mean age = 20.64 ±1.88 years; 53% men) completed a survey composed of a) questions about socio-demographics, academics, lifestyle behaviors, personality type, and smartphone use-related variables; b) 26-item Smartphone Addiction Inventory (SPAI) Scale; and c) brief screeners of depression and anxiety (PHQ-2 and GAD-2), which constitute the two core DSM-IV items for major depressive disorder and generalized anxiety disorder, respectively.
Prevalence rates of smartphone-related compulsive behavior, functional impairment, tolerance and withdrawal symptoms were substantial. 35.9% felt tired during daytime due to late-night smartphone use, 38.1% acknowledged decreased sleep quality, and 35.8% slept less than four hours due to smartphone use more than once. Whereas gender, residence, work hours per week, faculty, academic performance (GPA), lifestyle habits (smoking and alcohol drinking), and religious practice did not associate with smartphone addiction score; personality type A, class (year 2 vs. year 3), younger age at first smartphone use, excessive use during a weekday, using it for entertainment and not using it to call family members, and having depression or anxiety, showed statistically significant associations with smartphone addiction. Depression and anxiety scores emerged as independent positive predictors of smartphone addiction, after adjustment for confounders.
Several independent positive predictors of smartphone addiction emerged including depression and anxiety. It could be that young adults with personality type A experiencing high stress level and low mood may lack positive stress coping mechanisms and mood management techniques and are thus highly susceptible to smartphone addiction.
本研究旨在评估智能手机成瘾症状的患病率,并确定在黎巴嫩大学生样本中,抑郁或焦虑是否独立导致智能手机成瘾程度,同时对重要的社会人口学、学术、生活方式、人格特质和智能手机相关变量进行调整。
对688名本科大学生(平均年龄 = 20.64 ± 1.88岁;53%为男性)进行随机抽样,他们完成了一项调查,该调查包括:a)关于社会人口学、学术、生活方式行为、人格类型和智能手机使用相关变量的问题;b)26项智能手机成瘾量表(SPAI);c)抑郁和焦虑的简短筛查工具(PHQ - 2和GAD - 2),它们分别构成了重度抑郁症和广泛性焦虑症的两个核心DSM - IV项目。
与智能手机相关的强迫行为、功能损害、耐受性和戒断症状的患病率很高。35.9%的人因深夜使用智能手机而在白天感到疲倦,38.1%的人承认睡眠质量下降,35.8%的人因不止一次使用智能手机而睡眠不足四小时。而性别、居住情况、每周工作时长、学院、学业成绩(平均绩点)、生活习惯(吸烟和饮酒)以及宗教活动与智能手机成瘾得分无关;A型人格、年级(二年级与三年级)、首次使用智能手机的年龄较小、工作日过度使用、用于娱乐而非给家人打电话以及患有抑郁或焦虑,与智能手机成瘾显示出统计学上的显著关联。在对混杂因素进行调整后,抑郁和焦虑得分成为智能手机成瘾的独立正向预测因素。
出现了几个智能手机成瘾的独立正向预测因素,包括抑郁和焦虑。可能是A型人格的年轻人经历高压力水平和低情绪状态,可能缺乏积极的压力应对机制和情绪管理技巧,因此极易患上智能手机成瘾症。