Evidence map›Paper›PMID 29280393›Full record

ArticleJournal of behavioral addictions2017

Internet gaming disorder and online gambling disorder: Clinical and personality correlates.

Nuria Mallorquí-Bagué, Fernando Fernández-Aranda, María Lozano-Madrid, Roser Granero, Gemma Mestre-Bach, Marta Baño, Amparo Del Pino-Gutiérrez, Mónica Gómez-Peña, Neus Aymamí, José M Menchón and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Nuria Mallorquí-Bagué1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Fernando Fernández-Aranda1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
María Lozano-Madrid1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Roser Granero2 Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III , Madrid, Spain.
Gemma Mestre-Bach1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Marta Baño1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Amparo Del Pino-Gutiérrez1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Mónica Gómez-Peña1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Neus Aymamí1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
José M Menchón1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.
Susana Jiménez-Murcia1 Department of Psychiatry, University Hospital of Bellvitge-IDIBELL , Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims The recent growth of Internet use has led to an increase of potentially problematic behaviors that can be engaged online, such as online gambling or Internet gaming. The aim of this study is to better conceptualize Internet gaming disorder (IGD) by comparing it with gambling disorder (GD) patients who only gamble online (online GD). Methods A total of 288 adult patients (261 online GD and 27 IGD) completed self-reported questionnaires for exploring psychopathological symptoms, food addiction (FA), and personality traits. Results Both clinical groups presented higher psychopathological scores and less functional personality traits when compared with a normative Spanish population. However, when comparing IGD to online GD, some singularities emerged. First, patients with IGD were younger, more likely single and unemployed, and they also presented lower age of disorder onset. In addition, they displayed lower somatization and depressive scores together with lower prevalence of tobacco use but higher FA scores and higher mean body mass index. Finally, they presented lower novelty seeking and persistence traits. Discussion GD is fully recognized as a behavioral addiction, but IGD has been included in the Appendix of DSM-5 as a behavioral addiction that needs further study. Our findings suggest that IGD and online GD patients share some emotional distress and personality traits, but patients with IGD also display some differential characteristics, namely younger age, lower novelty seeking scores and higher BMI, and FA scores. Conclusions IGD presents some characteristics that are not extensive to online GD. These specificities have potential clinical implications and they need to be further studied.

Indexed as

InternetPersonalityVideo GamesAdultBehavior, AddictiveFemaleFood AddictionGamblingHumansMaleMiddle AgedYoung Adultbehavioral addictiongambling disorderInternet gaming disorderonline gambling

Identifiers

PMID29280393
PMCPMC6034948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.