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Impulsive decision-making predicts the course of substance-related and addictive disorders
Metadaten
| Für den Inhalt der Forschungsdaten verantwortliche Person(en) | Kräplin, Anja | |
| Art der Erhebung der Daten | Other: standardized clinical interviews and four behavioural experiments | |
| Kurzbeschreibung | Data and do-files for the analyses presented in the paper "Impulsive decision-making predicts the course of substance-related and addictive disorders" // Aims of the analyses: To test whether impulsive decision-making (1) differs between individuals with substance use disorders (SUD) or non-substance-related addictive disorders (ND) and healthy controls and (2) predicts the course of SUD and ND severity after one year. // Design of the study: Baseline and one year follow-up of a prospective-longitudinal community study. // Setting of the study: Clinical interviews and behavioural tasks in the laboratory. // Participants: 338 individuals between age 20 and 26 were selected from a random sample from the registration office files of Dresden, Germany. Participants fulfilled the criteria for one of three groups: SUD, ND, or healthy controls. After one year, we assessed 313 participants again (93%). // Measurements: ND and SUD severity were operationalized with number of DSM-5 symptoms (partly modified for ND) and quantity-frequency indices of use. Four tasks were applied to assess independent facets of impulsive decision-making: 1) delay discounting, 2) risk seeking for gains and 3) for losses, and 4) loss aversion. | |
| Angewendete Methoden oder Verfahren | (1) SAD severity: standardized clinical interviews for symptoms of substance-related and gambling disorders according to the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5] or of addictive disorders related to shopping, Internet use or gaming assessed according to adapted criteria from DSM-5 SUD. (2) impulsive decision-making: behavioural experiments presented with the Psychophysics Toolbox in MATLAB R2010a | |
| Informationen zur Serie | Data were collected as part of a prospective-longitudinal community study within the Collaborative Research Centre (SFB 940) at the Technische Universität Dresden, Germany. To recruit a representative baseline sample from metropolitan Dresden, individuals aged from 20 to 26 were randomly sampled from the registration office files of Dresden from 2013 to 2016. After providing informed consent, participants completed personality questionnaires and participated in four different test sessions. For this paper, we included clinical data and data on impulsive decision-making from the baseline assessment and clinical data from the first follow-up assessment after one year. | |
| Länder, auf die sich die Daten beziehen | GERMANY | de |
| Weitere Schlagwörter | substance use disorders, behavioural addictions, impulsivity, risk seeking, risk aversion, loss aversion | |
| Sprache | eng | |
| Entstehungsjahr oder Entstehungszeitraum | 2013-2017 | |
| Veröffentlichungsjahr | 2018 | |
| Herausgeber | Technische Universität Dresden | |
| Referenzen auf ergänzende Materialien | IsPartOf: 123456789/1357 (Handle) | |
| Inhalt der Forschungsdaten | Text, Dataset, Other: Stata data set with clinical data and data on impulsive decision-making (also as excel file) Stata do-files of the analyses presented in the paper (also as text file) | |
| Eigene Spezifikation der Nutzungsrechte | ||
| Inhaber der Nutzungsrechte | Technische Universität Dresden | |
| Nutzungsrechte des Datensatzes | CC-BY-NC-4.0 | |
| Eingesetzte Software | Resource Processing: Stata 15.0 | |
| Eingesetzte Software | Resource Production: MATLAB R2010a | |
| Angabe der Fachgebiete | Psychology | de |
| Titel des Datensatzes | Impulsive decision-making predicts the course of substance-related and addictive disorders |
Dateien zu dieser Ressource
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Impulsive decision-making predicts the course of substance-related and addictive disorders [1]
In this paper, we tested whether impulsive decision-making (1) differs between individuals with substance use disorders (SUD) or non-substance-related addictive disorders (ND) and healthy controls and (2) predicts the course of SUD and ND severity after one year.