Bouncing back from emotional ups and downs: insights in emotional recovery using survival analyses of burst ESM data.
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| Title: | Bouncing back from emotional ups and downs: insights in emotional recovery using survival analyses of burst ESM data. |
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| Authors: | Schreuder, Marieke J. (AUTHOR), Ariens, Sigert (AUTHOR), Lafit, Ginette (AUTHOR), Ceulemans, Eva (AUTHOR) |
| Source: | Cognition & Emotion. Jun2025, Vol. 39 Issue 4, p910-919. 10p. |
| Subjects: | Survival analysis (Biometry), Emotional experience, Emotions, Sensitivity analysis, Proof of concept |
| Abstract: | Many experience sampling (ESM) studies suggested that high resilience is reflected by quickly recovering one's emotional baseline. However, former studies relied on coarse data and did not look into differential recovery from emotional ups and downs. This preregistered proof-of-concept study therefore used high-resolution data collected in 2022 to compute emotional recovery after high levels of positive versus negative emotions. Adults (N = 68) participated in a three-week ESM study with eight assessments per day, complemented by short-spaced burst assessments. Resilience was assessed at baseline (trait-level; TR) and daily (day-level; DR). Multilevel survival analyses showed that high DR predicted faster returns from negative emotions, but also delayed returns following positive emotions (exp(β) = 1.32, p = 0.006). Instead, TR did not relate to emotional recovery (exp(β) = 0.85, p = 0.067). These findings were generally robust across different sensitivity analyses. This illustrates how innovative ESM designs combined with time-to-event analyses may further our insight in emotional recovery and the timescale at which it unfolds. [ABSTRACT FROM AUTHOR] |
| Copyright of Cognition & Emotion is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 186133045 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bouncing back from emotional ups and downs: insights in emotional recovery using survival analyses of burst ESM data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schreuder%2C+Marieke+J%2E%22">Schreuder, Marieke J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ariens%2C+Sigert%22">Ariens, Sigert</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lafit%2C+Ginette%22">Lafit, Ginette</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ceulemans%2C+Eva%22">Ceulemans, Eva</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cognition+%26+Emotion%22">Cognition & Emotion</searchLink>. Jun2025, Vol. 39 Issue 4, p910-919. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Survival+analysis+%28Biometry%29%22">Survival analysis (Biometry)</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+experience%22">Emotional experience</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Proof+of+concept%22">Proof of concept</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Many experience sampling (ESM) studies suggested that high resilience is reflected by quickly recovering one's emotional baseline. However, former studies relied on coarse data and did not look into differential recovery from emotional ups and downs. This preregistered proof-of-concept study therefore used high-resolution data collected in 2022 to compute emotional recovery after high levels of positive versus negative emotions. Adults (N = 68) participated in a three-week ESM study with eight assessments per day, complemented by short-spaced burst assessments. Resilience was assessed at baseline (trait-level; TR) and daily (day-level; DR). Multilevel survival analyses showed that high DR predicted faster returns from negative emotions, but also delayed returns following positive emotions (exp(β) = 1.32, p = 0.006). Instead, TR did not relate to emotional recovery (exp(β) = 0.85, p = 0.067). These findings were generally robust across different sensitivity analyses. This illustrates how innovative ESM designs combined with time-to-event analyses may further our insight in emotional recovery and the timescale at which it unfolds. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Cognition & Emotion is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=186133045 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/02699931.2024.2423706 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 910 Subjects: – SubjectFull: Survival analysis (Biometry) Type: general – SubjectFull: Emotional experience Type: general – SubjectFull: Emotions Type: general – SubjectFull: Sensitivity analysis Type: general – SubjectFull: Proof of concept Type: general Titles: – TitleFull: Bouncing back from emotional ups and downs: insights in emotional recovery using survival analyses of burst ESM data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schreuder, Marieke J. – PersonEntity: Name: NameFull: Ariens, Sigert – PersonEntity: Name: NameFull: Lafit, Ginette – PersonEntity: Name: NameFull: Ceulemans, Eva IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02699931 Numbering: – Type: volume Value: 39 – Type: issue Value: 4 Titles: – TitleFull: Cognition & Emotion Type: main |
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