-
Something wrong with this record ?
Excessive internet use in European adolescents: what determines differences in severity
L. Blinka, K. Škařupová, A. Ševčíková, K. Wölfling, KW. Müller, M. Dreier,
Language English Country Switzerland
Document type Comparative Study, Journal Article, Research Support, Non-U.S. Gov't
NLK
Directory of Open Access Journals
from 1956
ProQuest Central
from 1997-01-01 to 2018-12-31
Medline Complete (EBSCOhost)
from 2010-02-01
Health & Medicine (ProQuest)
from 1997-01-01 to 2018-12-31
Public Health Database (ProQuest)
from 1997-01-01 to 2018-12-31
- MeSH
- Time Factors MeSH
- Adolescent Behavior psychology MeSH
- Child MeSH
- Mental Health * MeSH
- Risk Assessment MeSH
- Internet utilization MeSH
- Confidence Intervals MeSH
- Humans MeSH
- Logistic Models MeSH
- Adolescent MeSH
- Multivariate Analysis MeSH
- Behavior, Addictive * MeSH
- Odds Ratio MeSH
- Attention physiology MeSH
- Cross-Sectional Studies MeSH
- Surveys and Questionnaires MeSH
- Self Concept MeSH
- Video Games statistics & numerical data MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Comparative Study MeSH
- Geographicals
- Europe MeSH
OBJECTIVES: This study investigated the differences between non-excessive, moderately excessive, and highly excessive internet use among adolescents. These differences were explored in terms of personal characteristics, psychological difficulties, environmental factors, and manner of internet use. METHODS: A representative sample was investigated, consisting of 18,709 adolescents aged 11-16 and their parents, from 25 European countries. Excessive internet use was measured using a five item scale covering following factors: salience, conflict, tolerance, withdrawal symptoms, and relapse and reinstatement. The main data analysis utilised multinomial and binary logistic regression models. RESULTS: The vast majority of respondents reported no signs of excessive internet use. Moderately excessive users (4.4%) reported higher emotional and behavioural difficulties, but also more sophisticated digital skills and a broader range of online activities. The highly excessive users (1.4%) differed from the non-excessive and moderately excessive users in their preference for online games and in having more difficulties with self-control. CONCLUSIONS: Adolescents who struggle with attention and self-control and who are inclined toward online gaming may be especially vulnerable to the otherwise uncommon phenomenon of excessive internet use.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc16000432
- 003
- CZ-PrNML
- 005
- 20200121092459.0
- 007
- ta
- 008
- 160108s2015 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/s00038-014-0635-x $2 doi
- 035 __
- $a (PubMed)25532555
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Blinka, Lukas $u Faculty of Social Studies, Institute for Research on Children, Youth and Family, Masaryk University, Joštova 10, 602 00, Brno, Czech Republic, blinka@fss.muni.cz.
- 245 10
- $a Excessive internet use in European adolescents: what determines differences in severity / $c L. Blinka, K. Škařupová, A. Ševčíková, K. Wölfling, KW. Müller, M. Dreier,
- 520 9_
- $a OBJECTIVES: This study investigated the differences between non-excessive, moderately excessive, and highly excessive internet use among adolescents. These differences were explored in terms of personal characteristics, psychological difficulties, environmental factors, and manner of internet use. METHODS: A representative sample was investigated, consisting of 18,709 adolescents aged 11-16 and their parents, from 25 European countries. Excessive internet use was measured using a five item scale covering following factors: salience, conflict, tolerance, withdrawal symptoms, and relapse and reinstatement. The main data analysis utilised multinomial and binary logistic regression models. RESULTS: The vast majority of respondents reported no signs of excessive internet use. Moderately excessive users (4.4%) reported higher emotional and behavioural difficulties, but also more sophisticated digital skills and a broader range of online activities. The highly excessive users (1.4%) differed from the non-excessive and moderately excessive users in their preference for online games and in having more difficulties with self-control. CONCLUSIONS: Adolescents who struggle with attention and self-control and who are inclined toward online gaming may be especially vulnerable to the otherwise uncommon phenomenon of excessive internet use.
- 650 _2
- $a mladiství $7 D000293
- 650 _2
- $a chování mladistvých $x psychologie $7 D000294
- 650 _2
- $a pozornost $x fyziologie $7 D001288
- 650 12
- $a návykové chování $7 D016739
- 650 _2
- $a dítě $7 D002648
- 650 _2
- $a interval spolehlivosti $7 D016001
- 650 _2
- $a průřezové studie $7 D003430
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a internet $x využití $7 D020407
- 650 _2
- $a logistické modely $7 D016015
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 12
- $a duševní zdraví $7 D008603
- 650 _2
- $a multivariační analýza $7 D015999
- 650 _2
- $a odds ratio $7 D016017
- 650 _2
- $a hodnocení rizik $7 D018570
- 650 _2
- $a sebepojetí $7 D012649
- 650 _2
- $a průzkumy a dotazníky $7 D011795
- 650 _2
- $a časové faktory $7 D013997
- 650 _2
- $a videohry $x statistika a číselné údaje $7 D018910
- 651 _2
- $a Evropa $7 D005060
- 655 _2
- $a srovnávací studie $7 D003160
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Škařupová, Kateřina
- 700 1_
- $a Ševčíková, Anna
- 700 1_
- $a Wölfling, Klaus
- 700 1_
- $a Müller, Kai W
- 700 1_
- $a Dreier, Michael
- 773 0_
- $w MED00188766 $t International journal of public health $x 1661-8564 $g Roč. 60, č. 2 (2015), s. 249-56
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/25532555 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20160108 $b ABA008
- 991 __
- $a 20200121092836 $b ABA008
- 999 __
- $a ok $b bmc $g 1102713 $s 924638
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 60 $c 2 $d 249-56 $e 20141223 $i 1661-8564 $m International journal of public health $n Int J Public Health $x MED00188766
- LZP __
- $a Pubmed-20160108