2023
DOI: 10.1037/cps0000120
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Are hoarding disorder and buying-shopping disorder behavioural addictions? A conceptual review.

Abstract: There is considerable conceptual debate about how hoarding disorder (HD) and buying-shopping disorder (BSD) can be best classified. In this article, we reason that these disorders may represent behavioral addictions by mapping evidence to the Components Model of Addiction and the Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors. Our review identifies phenomenological, psychological, and neurobiological evidence to support both disorders as behavioral addictions. However, … Show more

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Cited by 7 publications
(26 citation statements)
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“…Wrapping up, when examining the evidence for considering BSD and HD behavioral addictions, as done in the conceptual review by Pickering and Norberg (2022), we argue that it is important to not only look at a specific theoretical model and consider all the components equally, but to put the individual elements in a logical and hierarchical structure in order to check which comparisons (e.g., gaming disorder with BSD and HD) are permissible at which level (e.g., core criteria versus clinical features or core criteria versus driving factors). When we consider the above mentioned ideas of structuring components into those related to ICD-11 criteria and which are recognized by experts (e.g., within the Delphi study on BSD) compared with perhaps more “secondary” components (clinical features, driving factors), the conclusion by Pickering and Norberg (2022) to consider BSD and HD behavioral addictions would be even stronger. The components of the model by Griffiths (2005), for which Pickering and Norberg (2022) only found limited or reasonable evidence (tolerance, withdrawal, relapse), are those which are apparently not considered the core components relevant for the diagnosis by most experts.…”
Section: Core Components and Diagnostic Criteria Versus Clinical Feat...mentioning
confidence: 99%
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“…Wrapping up, when examining the evidence for considering BSD and HD behavioral addictions, as done in the conceptual review by Pickering and Norberg (2022), we argue that it is important to not only look at a specific theoretical model and consider all the components equally, but to put the individual elements in a logical and hierarchical structure in order to check which comparisons (e.g., gaming disorder with BSD and HD) are permissible at which level (e.g., core criteria versus clinical features or core criteria versus driving factors). When we consider the above mentioned ideas of structuring components into those related to ICD-11 criteria and which are recognized by experts (e.g., within the Delphi study on BSD) compared with perhaps more “secondary” components (clinical features, driving factors), the conclusion by Pickering and Norberg (2022) to consider BSD and HD behavioral addictions would be even stronger. The components of the model by Griffiths (2005), for which Pickering and Norberg (2022) only found limited or reasonable evidence (tolerance, withdrawal, relapse), are those which are apparently not considered the core components relevant for the diagnosis by most experts.…”
Section: Core Components and Diagnostic Criteria Versus Clinical Feat...mentioning
confidence: 99%
“…What might be the difference between excessive behaviors in the context of OCD (and note that HD is classified currently in the category of obsessive-compulsive or related disorders in ICD-11) versus excessive behaviors in the context of a behavioral addiction? Addressing this question leads us to the second model that Pickering and Norberg (2022) considered interesting in their conceptual review, the I-PACE model (Brand et al, 2019). Particularly in the early stages of addictive behaviors, it is assumed that striving motivations and rewarding experiences linked to specific behaviors (such as gaming, buying–shopping, using pornography) result in positive reinforcement.…”
Section: Psychological Processes Driving Addictive Behaviorsmentioning
confidence: 99%
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