Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.
Department of Sleep-Wake Disorders, National Center of Neurology and Psychiatry, Tokyo, Japan.
Psychiatry Clin Neurosci. 2018 Jul;72(7):531-539. doi: 10.1111/pcn.12662. Epub 2018 May 9.
Research on the adverse effects of Internet use has gained importance recently. However, there is currently insufficient data on Japanese young adults' Internet use, so we conducted a survey targeting Japanese university students to research problematic Internet use (PIU). We also investigated the relationship between PIU and multiple psychiatric symptoms.
A paper-based survey was conducted at five universities in Japan. Respondents were asked to fill out self-report scales regarding their Internet dependency using the Internet Addiction Test (IAT). Sleep quality, attention-deficit hyperactivity disorder (ADHD) tendency, depression, and anxiety symptom data were also collected based on respective self-reports.
There were 1336 responses and 1258 were included in the analysis. The mean IAT score (± SD) was 37.87 ± 12.59; and 38.2% of participants were classified as PIU, and 61.8% as non-PIU. The trend level for young women showed that they were more likely to be classified as PIU than young men (40.6% and 35.2% respectively, P = 0.05). Compared to the non-PIU group, the PIU group used the Internet longer (P < 0.001), had significantly lower sleep quality (P < 0.001), had stronger ADHD tendencies (P < 0.001), had higher Depression scores (P < 0.001), and had higher Trait-Anxiety scores (P < 0.001). Based on multiple logistic regression analyses, the factors that contributed to an increased risk of PIU were: being female (odds ratio [OR] = 1.52), being older (OR = 1.17), having poor sleep quality (OR = 1.52), having ADHD tendencies (OR = 2.70), having depression (OR = 2.24), and having anxiety tendencies (OR = 1.43).
We found a high PIU prevalence among Japanese young adults. The factors that predicted PIU were: female sex, older age, poor sleep quality, ADHD tendencies, depression, and anxiety.
最近，互联网使用的不良影响研究受到了重视。然而，目前关于日本年轻成年人互联网使用的数据还不够充分，因此我们针对日本大学生进行了一项调查，以研究网络成瘾问题（PIU）。我们还调查了 PIU 与多种精神症状之间的关系。
在日本的五所大学进行了一项基于纸质的调查。要求受访者使用互联网成瘾测试（IAT）填写关于其互联网依赖的自我报告量表。还根据各自的报告收集了睡眠质量、注意缺陷多动障碍（ADHD）倾向、抑郁和焦虑症状数据。
共收到 1336 份回复，其中 1258 份可用于分析。IAT 评分（平均值±标准差）为 37.87±12.59；38.2%的参与者被归类为 PIU，61.8%为非 PIU。年轻女性的趋势水平表明，她们比年轻男性更有可能被归类为 PIU（分别为 40.6%和 35.2%，P=0.05）。与非 PIU 组相比，PIU 组使用互联网的时间更长（P<0.001），睡眠质量明显较差（P<0.001），ADHD 倾向更强（P<0.001），抑郁评分更高（P<0.001），特质焦虑评分更高（P<0.001）。基于多项逻辑回归分析，导致 PIU 风险增加的因素有：女性（优势比[OR] =1.52）、年龄较大（OR=1.17）、睡眠质量差（OR=1.52）、ADHD 倾向（OR=2.70）、抑郁（OR=2.24）和焦虑倾向（OR=1.43）。
我们发现日本年轻成年人中 PIU 的患病率较高。预测 PIU 的因素有：女性、年龄较大、睡眠质量差、ADHD 倾向、抑郁和焦虑。
