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
{"title":"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","authors":"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","doi":"10.1016/j.npbr.2020.09.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objective</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>","PeriodicalId":49756,"journal":{"name":"Neurology Psychiatry and Brain Research","volume":"38 ","pages":"Pages 43-48"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.npbr.2020.09.002","citationCount":"9","resultStr":"{\"title\":\"Can daily internet use time screen for problematic internet use among college students? A receiver operator characteristic curve-based multi-country study\",\"authors\":\"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\",\"doi\":\"10.1016/j.npbr.2020.09.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and objective</h3><p>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.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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). 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Can daily internet use time screen for problematic internet use among college students? A receiver operator characteristic curve-based multi-country study
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.
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.