Can daily internet use time screen for problematic internet use among college students? A receiver operator characteristic curve-based multi-country study

Q3 Medicine
Yatan Pal Singh Balhara , Swarndeep Singh , Ana Doric , Dejan Stevanovic , Rajna Knez , Mita Rani Roy Chowdhury , Helin Yilmaz Kafali , Pawan Sharma , Zahir Vally , Tuong Vi Vu , Sidharth Arya , Aishita Mahendru , Ramdas Ransing , Gamze Erzin , Huynh Le Thi Cam Hong Le
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引用次数: 9

Abstract

Background and objective

The current article explored the possibility of using daily internet use time as an indicator for problematic internet use (PIU) among college/ university students based on observations from a multi-centric, multi-country study conducted across eight different countries. Additionally, the current article explored whether daily night time sleep and physical activity can serve as possible indicators of PIU.

Methods

The present article presents the findings from analysis of information collected from 2643 college/university students from eight countries. Area under the ROC curve (AUC) was calculated to compare the predictive performance of three different indicator variables in the study participants to determine PIU.

Results

The AUC for daily internet use time was 0.64 (95 % CI: 0.62 to 0.656), which was higher than the AUC for weekly physical activity (0.599; 95 % CI: 0.580 to 0.618) and daily night time sleep (0.563; 95 % CI: 0.544 to 0.582). The AUC for three indicator variables was compared, which showed that the AUC for daily internet time was significantly higher than the AUC for daily night-time sleep.

Conclusions

The assessment of daily internet use time as part of a larger battery of general health-related questions could be applied periodically among young students for screening of PIU in addition to a host of other important mental and physical health related conditions and behaviors. However, further studies are needed to determine optimal cut-off depending upon the desired trade-off between sensitivity and specificity for screening among different populations.

每天上网的时间是否能显示出大学生上网的问题?基于接收话务员特征曲线的多国研究
背景和目的本文基于在八个不同国家进行的多中心、多国研究的观察结果,探讨了将每日互联网使用时间作为大学生问题互联网使用(PIU)指标的可能性。此外,本文还探讨了每日夜间睡眠和身体活动是否可以作为PIU的可能指标。方法对来自8个国家的2643名大学生的信息进行了分析。计算ROC曲线下面积(AUC),比较研究参与者中三个不同指标变量的预测性能,以确定PIU。结果每日网络使用时间的AUC为0.64 (95% CI: 0.62 ~ 0.656),高于每周体力活动的AUC (0.599;95% CI: 0.580 ~ 0.618)和每日夜间睡眠时间(0.563;95% CI: 0.544 ~ 0.582)。比较三个指标变量的AUC,发现每日上网时间的AUC显著高于每日夜间睡眠的AUC。结论:除了其他重要的心理和身体健康相关的状况和行为外,每日互联网使用时间的评估可以作为一组更大的一般健康相关问题的一部分,定期应用于年轻学生的PIU筛查。然而,需要进一步的研究来确定最佳的截止点,这取决于在不同人群中筛查的敏感性和特异性之间所需的权衡。
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期刊介绍: Neurology, Psychiatry & Brain Research publishes original papers and reviews in biological psychiatry, brain research, neurology, neuropsychiatry, neuropsychoimmunology, psychopathology, psychotherapy. The journal has a focus on international and interdisciplinary basic research with clinical relevance. Translational research is particularly appreciated. Authors are allowed to submit their manuscript in their native language as supplemental data to the English version. Neurology, Psychiatry & Brain Research is related to the oldest German speaking journal in this field, the Centralblatt fur Nervenheilkunde, Psychiatrie und gerichtliche Psychopathologie, founded in 1878. The tradition and idea of previous famous editors (Alois Alzheimer and Kurt Schneider among others) was continued in modernized form with Neurology, Psychiatry & Brain Research. Centralblatt was a journal of broad scope and relevance, now Neurology, Psychiatry & Brain Research represents a journal with translational and interdisciplinary perspective, focusing on clinically oriented research in psychiatry, neurology and neighboring fields of neurosciences and psychology/psychotherapy with a preference for biologically oriented research including basic research. Preference is given for papers from newly emerging fields, like clinical psychoimmunology/neuroimmunology, and ideas.
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