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dc.contributor.authorLevitt, E. E.
dc.contributor.authorOshri, A.
dc.contributor.authorAmlung, M.
dc.contributor.authorRay, L. A.
dc.contributor.authorSanchez-Roige, S.
dc.contributor.authorPalmer, A. A.
dc.contributor.authorMacKillop, J.
dc.date.accessioned2023-04-11T19:06:18Z
dc.date.available2023-04-11T19:06:18Z
dc.date.issued2022-01-26
dc.identifier.citationLevitt, E., Oshri, A., Amlung, M., Ray, L., Sanchez-Roige, S., Palmer, A., & MacKillop, J. (2023). Evaluation of delay discounting as a transdiagnostic research domain criteria indicator in 1388 general community adults. Psychological Medicine, 53(4), 1649-1657. doi:10.1017/S0033291721005110en_US
dc.identifier.urihttps://hdl.handle.net/1808/34094
dc.description.abstractBackground The Research Domain Criteria (RDoC) approach proposes a novel psychiatric nosology using transdiagnostic dimensional mechanistic constructs. One candidate RDoC indicator is delay discounting (DD), a behavioral economic measure of impulsivity, based predominantly on studies examining DD and individual conditions. The current study sought to evaluate the transdiagnostic significance of DD in relation to several psychiatric conditions concurrently.

Methods Participants were 1388 community adults (18–65) who completed an in-person assessment, including measures of DD, substance use, depression, anxiety, posttraumatic stress disorder, and attention-deficit hyperactivity disorder (ADHD). Relations between DD and psychopathology were examined with three strategies: first, examining differences by individual condition using clinical cut-offs; second, examining DD in relation to latent psychopathology variables via principal components analysis (PCA); and third, examining DD and all psychopathology simultaneously via structural equation modeling (SEM).

Results Individual analyses revealed elevations in DD were present in participants screening positive for multiple substance use disorders (tobacco, cannabis, and drug use disorder), ADHD, major depressive disorder (MDD), and an anxiety disorder (ps < 0.05–0.001). The PCA produced two latent components (substance involvement v. the other mental health indicators) and DD was significantly associated with both (ps < 0.001). In the SEM, unique significant positive associations were observed between the DD latent variable and tobacco, cannabis, and MDD (ps < 0.05–0.001).

Conclusions These results provide some support for DD as a transdiagnostic indicator, but also suggest that studies of individual syndromes may include confounding via comorbidities. Further systematic investigation of DD as an RDoC indicator is warranted.
en_US
dc.publisherCambridge University Pressen_US
dc.rights© The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectAddictionen_US
dc.subjectDelay discountingen_US
dc.subjectPsychiatric disorderen_US
dc.subjectRDoCen_US
dc.subjectTransdiagnosticen_US
dc.titleEvaluation of delay discounting as a transdiagnostic research domain criteria indicator in 1388 general community adultsen_US
dc.typeArticleen_US
kusw.kuauthorAmlung, M.
kusw.kudepartmentApplied Behavioral Scienceen_US
dc.identifier.doi10.1017/S0033291721005110en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2675-7744en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5471-1591en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4483-7155en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6137-5699en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3634-0747en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4118-9500en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC10009385en_US
dc.rights.accessrightsopenAccessen_US


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© The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution license.
Except where otherwise noted, this item's license is described as: © The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution license.