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Do what matters, no matter what! Factorizing positive activities during Covid-19 lockdown

Bibliographic Data

ID4226931
AuthorsPhilipp Y Herzberg (0000-0003-1662-7564, Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg), Tanja Stender (Technische Universität Dresden), Janina Charlotte Gabriela Dechmann (Technische Universität Dresden), Jasmin Čolić (0000-0001-8504-9898, Technische Universität Dresden), Jürgen Hoyer (0000-0002-1697-6732, Technische Universität Dresden)
Year2023
Volume28
Issue5
Pages477-490
Publication date2023-04-01
Open AccessYes
TypeARTICLE
VenueJournal of Health Psychology (JOURNAL)
Journal identifiersISSN: 1359-1053 • E-ISSN: 1461-7277
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/13591053221120967
PMID36124687
OpenAlexW4296784195
LanguageEN
References cited45

Behavioral activation (BA) interventions systematically encourage positive and value-based activities. Engaging in them is an effective way to counteract negative affect, but it is unknown whether there are subtypes of activities that may have differential effects on mood. This study investigated the factorial structure of 99 potentially rewarding activities used in an online BA intervention during the COVID-19 lockdown. About 3624 German-speaking participants evaluated a list of 99 activities that were easy to apply. We analyzed the initially 99 activities by means of confirmatory factor analysis. Since activities can either be seen as reflective or formative indicators, a reflective as well as a formative model was analyzed. Although the range of chosen activities differed clearly between respondents, a one-factor model provided the best fit. It seems that a general "activity" factor is more important for explaining whether people choose a certain activity or not, than specific characteristics of the activity itself

2019-20 coronavirus outbreak · Affect (linguistics · Confirmatory factor analysis · Coronavirus disease 2019 (COVID-19 · Disease · Formative assessment · German · Mood · Psychiatry · Psychological intervention · Structural equation modeling · Behavioral Health and Interventions · Computer Science · COVID-19 and Mental Health · Digital Mental Health Interventions · Medicine · Psychology · Clinical Psychology

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