- AutorIn
- Hilmar G. Zech Technische Universität Dresden, Department of Psychiatry
- Markus ReichertDepartment of eHealth and Sports Analytics, Faculty of Sport Science, Ruhr-Universität Bochum (RUB)#Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Mental mHealth Lab, Karlsruhe#Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University
- Ulrich W. Ebner-PriemerInstitute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Mental mHealth Lab, Karlsruhe#Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University
- Heike Tost
- Michael A. Rapp
- Andreas Heinz
- Raymond J. Dolan
- Michael N. Smolka
- Lorenz Deserno
- Titel
- Mobile Data Collection of Cognitive-Behavioral Tasks in Substance Use Disorders
- Untertitel
- Where Are We Now?
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-891391
- Quellenangabe
- Neuropsychobiology
Erscheinungsjahr: 2022
Jahrgang: 81
Heft: 5
Seiten: 438-450
ISSN: 1423-0224 - Abstract (EN)
- Introduction: Over the last decades, our understanding of the cognitive, motivational, and neural processes involved in addictive behavior has increased enormously. A plethora of laboratory-based and cross-sectional studies has linked cognitive-behavioral measures to between-subject differences in drinking behavior. However, such laboratory-based studies inevitably suffer from small sample sizes and the inability to link temporal fluctuations in task measures to fluctuations in real-life substance use. To overcome these problems, several existing behavioral tasks have been transferred to smartphones to allow studying cognition in the field. Method: In this narrative review, we first summarize studies that used existing behavioral tasks in the laboratory and self-reports of substance use with ecological momentary assessment (EMA) in the field. Next, we review studies on psychometric properties of smartphone-based behavioral tasks. Finally, we review studies that used both smartphone-based tasks and self-reports with EMA in the field. Results: Overall, studies were scarce and heterogenous both in tasks and in study outcomes. Nevertheless, existing findings are promising and point toward several methodological recommendations: concerning psychometrics, studies show that – although more systematic studies are necessary – task validity and reliability can be improved, for example, by analyzing several measurement sessions at once rather than analyzing sessions separately. Studies that use tasks in the field, moreover, show that power can be improved by choosing sampling schemes that combine time-based with event-based sampling, rather than relying on time-based sampling alone. Increasing sampling frequency can further increase power. However, as this also increases the burden to participants, more research is necessary to determine the ideal sampling frequency for each task. Conclusion: Although more research is necessary to systematically study both the psychometrics of smartphone-based tasks and the frequency at which task measures fluctuate, existing studies are promising and reveal important methodological recommendations useful for researchers interested in implementing behavioral tasks in EMA studies.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der Zeitschrift „Neuropsychobiology” erschienen ist.
DOI: 10.1159/000523697 - Freie Schlagwörter (EN)
- Ecological momentary assessment, Behavioral tasks, Smartphone, Substance use, Addiction
- Klassifikation (DDC)
- 610
- Verlag
- S. Karger AG, Basel
- Förder- / Projektangaben
- Deutsche Forschungsgemeinschaft (DFG)
TRR 265 “Losing and Regaining Control over Drug intake”
ID: 402170461 - Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-891391
- Veröffentlichungsdatum Qucosa
- 19.01.2024
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
- CC BY 4.0