TY - JOUR
T1 - Can daily internet use time screen for problematic internet use among college students? A receiver operator characteristic curve-based multi-country study
AU - Yatan Pal Singh, Balhara
AU - Singh, Swarndeep
AU - Doric, Ana
AU - Stevanovic, Dejan
AU - Knez, Rajna
AU - Roy Chowdhury, Mita Rani
AU - Kafali, Helin Yilmaz
AU - Sharma, Pawan
AU - Vally, Zahir
AU - Vi Vu, Tuong
AU - Arya, Sidharth
AU - Mahendru, Aishita
AU - Ransing, Ramdas
AU - Erzin, Gamze
AU - Le, Huynh Le Thi Cam Hong
N1 - Publisher Copyright:
© 2020 Elsevier GmbH
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Daily internet use time
KW - Internet addiction
KW - Problematic internet use
KW - Screening
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U2 - 10.1016/j.npbr.2020.09.002
DO - 10.1016/j.npbr.2020.09.002
M3 - Article
AN - SCOPUS:85093108022
SN - 0941-9500
VL - 38
SP - 43
EP - 48
JO - Neurology Psychiatry and Brain Research
JF - Neurology Psychiatry and Brain Research
ER -