Historique
Article de Périodique
Reframing video gaming and internet use addiction: empirical cross-national comparison of heavy use over time and addiction scales among young users (2016)
Auteur(s) :
S. BAGGIO ;
M. DUPUIS ;
J. STUDER ;
S. SPILKA ;
J. B. DAEPPEN ;
O. SIMON ;
A. BERCHTOLD ;
G. GMEL
Article en page(s) :
513-522
Refs biblio. :
37
Domaine :
Addictions sans produit / Addictions without drug
Langue(s) :
Anglais
Discipline :
EPI (Epidémiologie / Epidemiology)
Thésaurus mots-clés
ESCAPAD
;
ETUDE TRANSVERSALE
;
JEU VIDEO
;
INTERNET
;
COMPARAISON
;
ADOLESCENT
;
ECHELLE D'EVALUATION
;
ADDICTION
;
COMORBIDITE
Thésaurus géographique
FRANCE
;
SUISSE
Note générale :
Commentary: Internet/gaming addiction is more than heavy use over time. Demetrovics Z., Kiraly O., p. 523-524.
Résumé :
Background and aims: Evidence-based and reliable measures of addictive disorders are needed in general population-based assessments. One study suggested that heavy use over time (UOT) should be used instead of self-reported addiction scales (AS). This study compared UOT and AS regarding video gaming and internet use empirically, using associations with comorbid factors.
Design: Cross-sectional data from the 2011 French Survey on Health and Consumption on Call-up and Preparation for Defence-Day (ESCAPAD), cross-sectional data from the 2012 Swiss ado@internet.ch study and two waves of longitudinal data (2010-13) of the Swiss Longitudinal Cohort Study on Substance Use Risk Factors (C-SURF).
Setting: Three representative samples from the general population of French and Swiss adolescents and young Swiss men, aged approximately 17, 14 and 20 years, respectively.
Participants: ESCAPAD: n =22 945 (47.4% men); ado@internet.ch: n = 3049 (50% men); C-SURF: n =4813 (baseline + follow-up, 100% men).
Measurements: We assessed video gaming/internet UOT ESCAPAD and ado@internet.ch: number of hours spent online per week, C-SURF: latent score of time spent gaming/using internet] and AS (ESCAPAD: Problematic Internet Use Questionnaire, ado@internet.ch: Internet Addiction Test, C-SURF: Gaming AS). Comorbidities were assessed with health outcomes (ESCAPAD: physical health evaluation with a single item, suicidal thoughts, and appointment with a psychiatrist; ado@internet.ch: WHO-5 and somatic health problems; C-SURF: Short Form 12 (SF-12 Health Survey) and Major Depression Inventory (MDI).
Findings: UOT and AS were correlated moderately (ESCAPAD: r = 0.40, ado@internet.ch: r = 0.53 and C-SURF: r = 0.51). Associations of AS with comorbidity factors were higher than those of UOT in cross-sectional (AS: .005 Conclusions: The measurement of heavy use over time captures part of addictive video gaming/internet use without overlapping to a large extent with the results of measuring by self-reported addiction scales (AS). Measuring addictive video gaming/internet use via self-reported addiction scales relates more strongly to comorbidity factors than heavy use over time.
Design: Cross-sectional data from the 2011 French Survey on Health and Consumption on Call-up and Preparation for Defence-Day (ESCAPAD), cross-sectional data from the 2012 Swiss ado@internet.ch study and two waves of longitudinal data (2010-13) of the Swiss Longitudinal Cohort Study on Substance Use Risk Factors (C-SURF).
Setting: Three representative samples from the general population of French and Swiss adolescents and young Swiss men, aged approximately 17, 14 and 20 years, respectively.
Participants: ESCAPAD: n =22 945 (47.4% men); ado@internet.ch: n = 3049 (50% men); C-SURF: n =4813 (baseline + follow-up, 100% men).
Measurements: We assessed video gaming/internet UOT ESCAPAD and ado@internet.ch: number of hours spent online per week, C-SURF: latent score of time spent gaming/using internet] and AS (ESCAPAD: Problematic Internet Use Questionnaire, ado@internet.ch: Internet Addiction Test, C-SURF: Gaming AS). Comorbidities were assessed with health outcomes (ESCAPAD: physical health evaluation with a single item, suicidal thoughts, and appointment with a psychiatrist; ado@internet.ch: WHO-5 and somatic health problems; C-SURF: Short Form 12 (SF-12 Health Survey) and Major Depression Inventory (MDI).
Findings: UOT and AS were correlated moderately (ESCAPAD: r = 0.40, ado@internet.ch: r = 0.53 and C-SURF: r = 0.51). Associations of AS with comorbidity factors were higher than those of UOT in cross-sectional (AS: .005 Conclusions: The measurement of heavy use over time captures part of addictive video gaming/internet use without overlapping to a large extent with the results of measuring by self-reported addiction scales (AS). Measuring addictive video gaming/internet use via self-reported addiction scales relates more strongly to comorbidity factors than heavy use over time.
Affiliation :
Institute for Social Sciences, University of Lausanne, Lausanne, Switzerland