A highly replicable decline in mood during rest and simple tasks

David C. Jangraw, Hanna Keren, Haorui Sun, Rachel L. Bedder, Robb B. Rutledge, Francisco Pereira, Adam G. Thomas, Daniel S. Pine, Charles Zheng, Dylan M. Nielson, Argyris Stringaris

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)596-610
Number of pages15
JournalNature Human Behaviour
Volume7
Issue number4
Early online date27 Feb 2023
DOIs
StatePublished - Apr 2023

Bibliographical note

Publisher Copyright:
© 2023, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Funding

This research was supported in part by the Intramural Research Program of the National Institute of Mental Health, part of the NIH (grant nos. ZIAMH002957 (to A.S.), ZICMH002968 (to F.P.), ZIAMH002871 (to D.S.P.), ZIAMH002872 (to D.S.P.) and ZICMH002960 (to A.G.T.)). This work used the computational resources of the NIH high-performance computing (HPC) Biowulf cluster ( http://hpc.nih.gov ). Data collection for the mobile app dataset was supported by the Wellcome Trust (grant no. 101252/Z/13/Z). The online adolescent sample in this study was collected under NIH IRB protocol number 18-M-0037, registered on clinicaltrials.gov as NCT03388606. The online adult sample was collected under NIH Office of Human Subjects Research Protection protocol P194594. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. The views expressed in this article do not necessarily represent the views of the NIH, the Department of Health and Human Services or the United States Government.

FundersFunder number
National Institutes of HealthZICMH002960, ZIAMH002871, ZIAMH002872, ZICMH002968, ZIAMH002957
National Institute of Mental Health
Wellcome Trust101252/Z/13/Z

    Fingerprint

    Dive into the research topics of 'A highly replicable decline in mood during rest and simple tasks'. Together they form a unique fingerprint.

    Cite this