The relationship between executive functioning and addictive behavior: new insights from a longitudinal community study.

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Title: The relationship between executive functioning and addictive behavior: new insights from a longitudinal community study.
Authors: Kräplin, Anja, Joshanloo, Mohsen, Wolff, Max, Krönke, Klaus-Martin, Goschke, Thomas, Bühringer, Gerhard, Smolka, Michael N.
Source: Psychopharmacology. Nov2022, Vol. 239 Issue 11, p3507-3524. 18p. 1 Diagram, 7 Charts, 2 Graphs.
Subjects: Substance abuse, Executive function, Self-control, Cognition, Growth curves (Statistics)
Abstract: Rationale: Although there is evidence that impaired executive functioning plays a role in addictive behavior, the longitudinal relationship between the two remains relatively unknown. Objectives: In a prospective-longitudinal community study, we tested the hypothesis that lower executive functioning is associated with more addictive behavior at one point in time and over time. Methods: Three hundred and thirty-eight individuals (19–27 years, 59% female) from a random community sample were recruited into three groups: addictive disorders related to substances (n = 100) or to behaviors (n = 118), or healthy controls (n = 120). At baseline, participants completed nine executive function tasks from which a latent variable of general executive functioning (GEF) was derived. Addictive behavior (i.e., quantity and frequency of use, and number of DSM-5 criteria met) were assessed using standardized clinical interviews at baseline and three annual follow-ups. The trajectories of addictive behaviors were examined using latent growth curve modeling. Results: At baseline, we found weak to no evidence of an associations between GEF and addictive behavior. We found evidence for an association between a lower GEF at baseline and a higher increase in the quantity of use and a smaller decrease in frequency of use over time, but no evidence for an association with an increase in the number of DSM-5 criteria met. Conclusions: Lower EFs appear to lead to a continuing loss of control over use, whereas addictive disorders may develop secondarily after a long period of risky use. Previous etiological models assuming lower EF as a direct vulnerability factor for addictive disorders need to be refined. [ABSTRACT FROM AUTHOR]
Copyright of Psychopharmacology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The relationship between executive functioning and addictive behavior: new insights from a longitudinal community study.
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  Data: <searchLink fieldCode="AR" term="%22Kräplin%2C+Anja%22">Kräplin, Anja</searchLink><br /><searchLink fieldCode="AR" term="%22Joshanloo%2C+Mohsen%22">Joshanloo, Mohsen</searchLink><br /><searchLink fieldCode="AR" term="%22Wolff%2C+Max%22">Wolff, Max</searchLink><br /><searchLink fieldCode="AR" term="%22Krönke%2C+Klaus-Martin%22">Krönke, Klaus-Martin</searchLink><br /><searchLink fieldCode="AR" term="%22Goschke%2C+Thomas%22">Goschke, Thomas</searchLink><br /><searchLink fieldCode="AR" term="%22Bühringer%2C+Gerhard%22">Bühringer, Gerhard</searchLink><br /><searchLink fieldCode="AR" term="%22Smolka%2C+Michael+N%2E%22">Smolka, Michael N.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Psychopharmacology%22">Psychopharmacology</searchLink>. Nov2022, Vol. 239 Issue 11, p3507-3524. 18p. 1 Diagram, 7 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Self-control%22">Self-control</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Growth+curves+%28Statistics%29%22">Growth curves (Statistics)</searchLink>
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  Data: Rationale: Although there is evidence that impaired executive functioning plays a role in addictive behavior, the longitudinal relationship between the two remains relatively unknown. Objectives: In a prospective-longitudinal community study, we tested the hypothesis that lower executive functioning is associated with more addictive behavior at one point in time and over time. Methods: Three hundred and thirty-eight individuals (19–27 years, 59% female) from a random community sample were recruited into three groups: addictive disorders related to substances (n = 100) or to behaviors (n = 118), or healthy controls (n = 120). At baseline, participants completed nine executive function tasks from which a latent variable of general executive functioning (GEF) was derived. Addictive behavior (i.e., quantity and frequency of use, and number of DSM-5 criteria met) were assessed using standardized clinical interviews at baseline and three annual follow-ups. The trajectories of addictive behaviors were examined using latent growth curve modeling. Results: At baseline, we found weak to no evidence of an associations between GEF and addictive behavior. We found evidence for an association between a lower GEF at baseline and a higher increase in the quantity of use and a smaller decrease in frequency of use over time, but no evidence for an association with an increase in the number of DSM-5 criteria met. Conclusions: Lower EFs appear to lead to a continuing loss of control over use, whereas addictive disorders may develop secondarily after a long period of risky use. Previous etiological models assuming lower EF as a direct vulnerability factor for addictive disorders need to be refined. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychopharmacology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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