A highly replicable decline in mood during rest and simple tasks
Does our mood change as time passes? This question is central to behavioural and affective science, yet it remains largely unexamined. To investigate, we intermixed subjective momentary mood ratings into repetitive psychology paradigms. Here we demonstrate that task and rest periods lowered particip...
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| Veröffentlicht in: | Nature human behaviour Jg. 7; H. 4; S. 596 - 610 |
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| Hauptverfasser: | , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Nature Publishing Group UK
01.04.2023
Nature Publishing Group |
| Schlagworte: | |
| ISSN: | 2397-3374, 2397-3374 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Does our mood change as time passes? This question is central to behavioural and affective science, yet it remains largely unexamined. To investigate, we intermixed subjective momentary mood ratings into repetitive psychology paradigms. Here we demonstrate that task and rest periods lowered participants’ mood, an effect we call ‘Mood Drift Over Time’. This finding was replicated in 19 cohorts totalling 28,482 adult and adolescent participants. The drift was relatively large (−13.8% after 7.3 min of rest, Cohen’s
d
= 0.574) and was consistent across cohorts. Behaviour was also impacted: participants were less likely to gamble in a task that followed a rest period. Importantly, the drift slope was inversely related to reward sensitivity. We show that accounting for time using a linear term significantly improves the fit of a computational model of mood. Our work provides conceptual and methodological reasons for researchers to account for time’s effects when studying mood and behaviour.
In a series of experiments, Jangraw et al. show that people’s mood declines over time in common psychological tasks and during rest periods, but not in freely chosen behaviours. |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 D.C.J., H.K., D.M.N., and A.S. devised the task. D.C.J. wrote the online experiments. D.C.J. and H.S. collected the online data. R.L.B. and R.B.R. provided data and information from the mobile app experiments. C. Z. and F.P. devised the computational model. D.C.J., C.Z., and D.M.N. wrote analysis code. D.C.J. and D. M.N. ran the analyses. D.C.J., D.M.N., and A.S. wrote the manuscript. All authors provided revisions and finalized the text. These authors contributed equally to this work Author Contributions |
| ISSN: | 2397-3374 2397-3374 |
| DOI: | 10.1038/s41562-023-01519-7 |