Int. J. Environ. Res. Ëffentlech Gesondheet 2016, 13(3), 294; doi:10.3390 / ijerph13030294
mythologesch
: Risk-behaviors are a major contributor to the leading causes of morbidity among adolescents and young people; however, their association with pathological Internet use (PIU) is relatively unexplored, particularly within the European context. The main objective of this study is to investigate the association between risk-behaviors and PIU in European adolescents. This cross-sectional study was conducted within the framework of the FP7 European Union project: Saving and Empowering Young Lives in Europe (SEYLE). Data on adolescents were collected from randomized schools within study sites across eleven European countries. PIU was measured using Young’s Diagnostic Questionnaire (YDQ). Risk-behaviors were assessed using questions procured from the Global School-Based Student Health Survey (GSHS). A total of 11,931 adolescents were included in the analyses: 43.4% male and 56.6% female (M/F: 5179/6752), with a mean age of 14.89 ± 0.87 years. Adolescents reporting poor sleeping habits and risk-taking actions showed the strongest associations with PIU, followed by tobacco use, poor nutrition and physical inactivity. Among adolescents in the PIU group, 89.9% were characterized as having multiple risk-behaviors. The significant association observed between PIU and risk-behaviors, combined with a high rate of co-occurrence, underlines the importance of considering PIU when screening, treating or preventing high-risk behaviors among adolescents.
1. Aféierung
2. Material a Methoden
2.1. Study Design and Population
2.2. Moossnahmen
2.3. Individual Risk-Behaviors
2.3.1. Substance Use
2.3.2. Sensation-Seeking
2.3.3. Lifestyle Characteristics
2.4. Multiple Risk-Behaviors
3. Statistesch Analysen
4. Resultater
4.1. Characteristics of the Study Sample
4.2. Prevalence of Risk-Behaviors
4.3. Multiple Risk-Behaviors
4.4. GLMM Analysis of the Association between Risk-Behaviors, MIU and PIU
4.5. Gender Interactions
5. Diskussioun
5.1. Prevalence of Risk-Behaviors
5.2. Substance Use
5.3. Sensation-Seeking
5.4. Lifestyle Characteristics
5.5. Multiple Risk-Behaviors
5.6. Gender Interactions
5.7. Griffiths’ Components Model
5.8. Strengths and Limitations
6. Conclusiounen
Arbeschterlidder
Autor Contributeuren
Conflicts of Interest
Ofkierzungen
SEYLE | Saving and Empowering Young Lives in Europe |
YRBSS | Youth Risk Behavior Surveillance System |
GSHS | Global School-Based Student Health Survey |
YDQ | Young's Diagnostic Questionnaire |
GLMM | Generaliséiert linear gemoossene Modeller |
ANOVA | Een-Manéier Analyse vun Varianz |
PIU | Pathological Internet use |
MIU | Maladaptive Internet use |
AIU | Adaptive Internet use |
CI | Confidence intervals |
Sem | Standard error of the mean |
M | Mëttelen |
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