The evolution of the 'components model of addiction' and the need for a confirmatory approach in conceptualizing behavioral addictions

Griffiths, M.D. ORCID: 0000-0001-8880-6524, 2019. The evolution of the 'components model of addiction' and the need for a confirmatory approach in conceptualizing behavioral addictions. Düşünen Adam: The Journal of Psychiatry and Neurological Sciences, 32, pp. 179-184. ISSN 1018-8681

[img]
Preview
Text
15023_Griffiths.pdf - Published version

Download (100kB) | Preview

Abstract

Many psychometric instruments assessing the risk of developing various behavioral addictions have been developed over the past decade based upon Griffiths’ ‘components model of addiction’ (1). This paper briefly examines the evolution of the components model and argues that some of the components are not “peripheral” to addiction (as some have argued) but that the problem lies in the operationalization of some of these components in many psychometric instruments (because items in such instruments do not necessarily include negative wordings in operationalizing the components). The paper also argues that the confirmatory approach for identifying those at risk of behavioral addictions (i.e., classifying behaviors on the basis of criteria of substance use disorders or behavioral addictions such as gambling disorder) is the best way to unify to the behavioral addiction field rather than bespoke idiosyncratic criteria.

Item Type: Journal article
Publication Title: Düşünen Adam: The Journal of Psychiatry and Neurological Sciences
Creators: Griffiths, M.D.
Publisher: Yerküre Tanıtım ve Yayıncılık Hizmetleri A.Ş.
Date: 29 September 2019
Volume: 32
ISSN: 1018-8681
Identifiers:
NumberType
10.14744/DAJPNS.2019.00027DOI
Divisions: Schools > School of Social Sciences
Record created by: Jonathan Gallacher
Date Added: 30 Sep 2019 09:21
Last Modified: 30 Sep 2019 09:21
URI: https://irep.ntu.ac.uk/id/eprint/37866

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year