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A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents

Overview of attention for article published in European Child & Adolescent Psychiatry, November 2015
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Title
A 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents
Published in
European Child & Adolescent Psychiatry, November 2015
DOI 10.1007/s00787-015-0779-0
Pubmed ID
Authors

Esther Strittmatter, Peter Parzer, Romuald Brunner, Gloria Fischer, Tony Durkee, Vladimir Carli, Christina W. Hoven, Camilla Wasserman, Marco Sarchiapone, Danuta Wasserman, Franz Resch, Michael Kaess

Abstract

Longitudinal studies of prospective predictors for pathological Internet use (PIU) in adolescents as well as its course are lacking. This three-wave longitudinal study was conducted within the framework of the European Union-funded project "Saving and Empowering Young Lives in Europe" over a 2-year period. The sample consisted of 1444 students at the baseline investigation (T0); 1202 students after 1 year (T1); and 515 students after 2 years (T2). Structured self-report questionnaires were administered at all three time points. PIU was assessed using the Young Diagnostic Questionnaire (YDQ). In addition, demographic (i.e., gender), social (i.e., parental involvement), psychological (i.e., emotional problems), and Internet use-related factors (i.e., online activities) were assessed as prospective predictors. The prevalence of PIU was 4.3 % at T0, 2.7 % at T1 and 3.1 % at T2. However, only 3 students (0.58 %) had persistent categorical PIU (YDQ score of ≥5) over the 2-year period. In univariate models, a variety of variables that have been previously identified in cross-sectional investigations predicted PIU at T2. However, multivariate regression demonstrated that only previous PIU symptoms and emotional problems were significant predictors of PIU 2 years later (adjusted R (2) 0.23). The stability of categorical PIU in adolescents over 2 years was lower than previously reported. However, current PIU symptoms were the best predictor of later PIU; emotional symptoms also predicted PIU over and above the influence of previous problematic Internet use. Both PIU symptoms and emotional problems may contribute to the vicious cycle that supports the perpetuation of PIU.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 186 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 13%
Student > Ph. D. Student 21 11%
Student > Bachelor 21 11%
Researcher 20 11%
Student > Postgraduate 13 7%
Other 43 23%
Unknown 47 25%
Readers by discipline Count As %
Psychology 57 30%
Medicine and Dentistry 33 17%
Social Sciences 20 11%
Nursing and Health Professions 10 5%
Computer Science 4 2%
Other 13 7%
Unknown 52 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2016.
All research outputs
#13,449,870
of 22,831,537 outputs
Outputs from European Child & Adolescent Psychiatry
#1,048
of 1,644 outputs
Outputs of similar age
#135,186
of 285,068 outputs
Outputs of similar age from European Child & Adolescent Psychiatry
#17
of 22 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,068 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.