Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 202-209 |
| Number of pages | 8 |
| Journal | Computers in Human Behavior |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
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A cognitive-behavioral model of problematic online gaming in adolescents aged 12-22 years. / Haagsma, M.C.; Caplan, S.E.; Peters, O.; Pieterse, M.E.
In: Computers in Human Behavior, Vol. 29, No. 1, 2013, p. 202-209.Research output: Contribution to Journal › Article › Academic › peer-review
TY - JOUR
T1 - A cognitive-behavioral model of problematic online gaming in adolescents aged 12-22 years
AU - Haagsma, M.C.
AU - Caplan, S.E.
AU - Peters, O.
AU - Pieterse, M.E.
PY - 2013
Y1 - 2013
N2 - The aim of this study was to apply the cognitive behavioral model of problematic Internet use to the context of online game use to obtain a better understanding of problematic use of online games and its negative consequences. In total, 597 online game playing adolescents aged 12-22 years participated in this study. Results showed that the cognitive behavioral model of problematic Internet use can also be used in the context of online game use. More specifically, preference for online social interaction, mood regulation and deficient self-regulation appeared to play an important role in predicting negative outcomes from problematic online game use. Together, these cognitions and behaviors explained 79% of the variance of negative outcomes scores. These findings can be used to develop strategies that aim at reducing problematic online game behavior and its negative consequences. © 2012 Elsevier Ltd. All rights reserved.
AB - The aim of this study was to apply the cognitive behavioral model of problematic Internet use to the context of online game use to obtain a better understanding of problematic use of online games and its negative consequences. In total, 597 online game playing adolescents aged 12-22 years participated in this study. Results showed that the cognitive behavioral model of problematic Internet use can also be used in the context of online game use. More specifically, preference for online social interaction, mood regulation and deficient self-regulation appeared to play an important role in predicting negative outcomes from problematic online game use. Together, these cognitions and behaviors explained 79% of the variance of negative outcomes scores. These findings can be used to develop strategies that aim at reducing problematic online game behavior and its negative consequences. © 2012 Elsevier Ltd. All rights reserved.
U2 - 10.1016/j.chb.2012.08.006
DO - 10.1016/j.chb.2012.08.006
M3 - Article
VL - 29
SP - 202
EP - 209
JO - Computers in Human Behavior
JF - Computers in Human Behavior
SN - 0747-5632
IS - 1
ER -