Evidence map›Paper›PMID 42560868›Full record

ArticleEmotion (Washington, D.C.)2026

Emotional reactions to real-world events predict shifts in longer term affective states.

Isabella C D'Ottone, Noah I Kraus, William J Villano, Claire H Landon, Aaron S Heller

Abstract read
In one paragraph

Article in Emotion (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Isabella C D'OttoneDepartment of Psychology, University of Miami.ORCID 0000-0003-3739-4480
Noah I KrausDepartment of Psychology, University of Miami.
William J VillanoDepartment of Psychology, University of Miami.
Claire H LandonDepartment of Psychology, University of Miami.
Aaron S HellerDepartment of Psychology, University of Miami.ORCID 0000-0002-0680-3248

Funding

Mapping links between real-world diversity, positive emotion, and neural dynamics in anhedoniaR01MH133693 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI AARON S HELLER · 2023 to 2026
$2.4M
Using high-stakes, real-world events to map the neural dynamics linked to internalizing disordersR01MH142713 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI AARON S HELLER · 2026 to 2026
$731k
Using Real-World, Personally Meaningful Events to build Computational Models of EmotionR21MH125311 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI HELLER, AARON S · 2021 to 2022
$414k
National Institutes of Health; National Institute of Mental HealthNIMH NIH HHS R01 MH133693NIMH NIH HHS R01 MH142713NIMH NIH HHS R21 MH125311
6 · The paper itself

Abstract

Our affective experiences, including both positive and negative emotions and longer term affective states (LTASs) like moods, color everyday life. Emotional responses, momentary affective reactions arising from individual events and lasting from seconds to hours, can impact one's mood, diffuse affective states that lack a single causal event, and last much longer (e.g., days to weeks). However, the extent to which emotional responses and the events that elicited them impact mood on these longer timescales is unclear. Using a high-stakes, naturalistic paradigm, we tested whether exam grades, grade prediction errors, or the emotional reactions they elicit predict shifts in LTAS. For several semesters from 2019 through 2022, we assessed 821 college students' emotional responses to exam grades and, in the weeks surrounding exam grade feedback, assessed their LTASs. We demonstrate that emotional reactions to exam grades, grades themselves, and exam prediction errors all predict shifts in LTAS but that these effects decay across time. After completing model comparisons of several combinations of predictors, we found that the model best fit to predict LTASs includes immediate emotional response, grade, and exam prediction errors. Upon examining the model outputs, we found that emotional response and exam grade primarily predict changes in LTASs, suggesting that LTASs are not just an aggregate of time-attenuated emotions but can reflect other features like outcome value. However, there may be limits to the generalizability of the findings due to the diversity of the age, race, and gender diversity of the sample. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Identifiers

PMID42560868
PMCPMC13456410

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.