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Enregistrement W1978568515 · doi:10.1111/add.12044

Commentary on Festl <i>et al</i>. (2013): Gaming addiction – how far have we come, and how much further do we need to go?

2013· letter· en· W1978568515 sur OpenAlexaboutno aff
Nancy M. Petry

Notice bibliographique

RevueAddiction · 2013
Typeletter
Langueen
DomaineSocial Sciences
ThématiqueImpact of Technology on Adolescents
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute on Alcohol Abuse and Alcoholism
Mots-clésAddictionHarmThe InternetPsychologyMental healthQuarter (Canadian coin)PsychiatryBehavioral addictionInclusion (mineral)Social psychology

Résumé

récupéré en direct d'OpenAlex

Festl et al. 1 are to be complimented for conducting a nationally representative study of gaming addiction in Germany. In contrast to many prior studies in this field, they surveyed a large number of respondents across a vast age range. They came to the conclusion that very few individuals in Germany are ‘addicted’ to gaming, but a small minority, primarily youth, experience some degree of problematic gaming. Their methodology is commendable, and I agree with their conclusions. Below, suggestions are provided for moving the field of internet gaming forward based on the results from this study. As noted in the Introduction of this paper, the DSM-5 will not include gaming addiction—or internet addiction more generally—as a psychiatric disorder. This topic has been highly controversial and publicized widely. On one hand, inclusion of such a diagnosis may help individuals suffering from problems related to internet or gaming use access treatments that may reduce their suffering. On the other hand, the proliferation of psychiatric diagnoses stands to harm individuals with mental health disorders and possibly the individuals themselves. Treatment dollars will be stretched too thin if they are divided among hundreds of conditions, and people will be labeled inappropriately if behavioral patterns on the high end of ‘normal’ become defined as pathological. It is clear from this study 1 that at least some degree of participation in gaming is ‘normal’. In the larger 50 000-person survey from which these 4382 respondents were drawn, 25% played computerized games at least occasionally. Thus, about a quarter of the German population plays computer games, making this a popular activity. Although gaming is popular, rates of problematic gaming appear to be quite low. Of the 25% at least occasional gamers, 3.7% endorsed four or more of the seven items suggestive of gaming-related problems. If one considers that the 3.7% relates to the 25% of the population who were asked the problem gaming questions, the overall population base rate of ‘problematic users’ in this sample is much lower—about 0.9%. (This calculation presumes that the 75% of the population who do not play games would not endorse more than four of the Game Addiction Scale items, probably a safe assumption.) Correspondingly, the proportion of the overall population who would be considered ‘addicted’ is almost non-existent, at far less than 0.05%. These prevalence rates are even lower than those reported in other European samples 2, 3, and differences may relate to the samples surveyed or other design features. Festl et al. 1 conclude that gaming, while popular, does not appear to lead to substantive problems in the vast majority of individuals, at least not as assessed by the Gaming Addiction Short Scale (3). As noted in this paper 1, methods to classify individuals as having a gaming problem are far from established 4-12. Unlike some prior studies that considered endorsement of even a single item to constitute problematic use, this study used more conservative definitions of ‘problems’ and ‘addiction,’ requiring endorsement of at least four or all seven of the scale items, respectively. In examining the actual items of the GAS, one item does not appear to be very discriminating. The item ‘Did you play longer than intended?’ was endorsed far more often than any other item, with means of about 1.5 versus means well under 0.65 for all items. Although this study 1 was not intended to examine patterns of item endorsement, statistical techniques such as item response theory can assess patterns of responses across items. Such analyses may ultimately provide guidance regarding appropriate constructs to include in the assessment of problematic gaming and identify those that may not provide particularly useful information. If gaming addition is a mental disorder, then first and foremost we need methods to assess it reliably and validly. As noted in this paper 1 and prior reports 4-12, numerous scales exist to assess problems with gaming and internet use more generally. The field needs more systematic research and initial consensus statements, derived from empirical data, to establish more clearly its defining characteristics. Assessment in both the general population and clinically affected samples is needed. Study of the association of ‘gaming addiction’ with other psychiatric illnesses can establish if they are unique or reflect different manifestations of a similar disorder. Additionally, longitudinal studies should evaluate the temporal stability of the condition; if many cases subside rapidly (13), then a psychiatric diagnosis is unlikely to be appropriate. Gaining a fuller understanding of the nature, severity, prevalence and temporal stability of this condition is critical before recognizing ‘gaming addiction’ as a psychiatric disorder.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,050
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,269
Écart entre enseignants0,253 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2013
Routes d'admission1
Résumé présentoui

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