Evidence map›Paper›PMID 42744955›Full record

ArticleScientific reports2026

Emotion regulation strategy use and daily levels of affective arousal, affective valence and dissociation in a clinical sample.

Martin Tegtmeyer, James J Gross, David A Preece, Johannes B Heekerens

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Martin TegtmeyerDepartment of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Berlin, Germany. martin.tegtmeyer@fu-berlin.de.ORCID 0009-0006-4124-9832
James J GrossDepartment of Psychology, Stanford University, Stanford, USA.
David A PreeceDepartment of Psychology, Stanford University, Stanford, USA.
Johannes B HeekerensDepartment of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical models and cross-sectional research suggest that habitual use of disengagement-oriented emotion regulation strategies is associated with high levels of affective arousal, negative valence, and dissociation, whereas engagement-oriented strategies show the opposite effect. However, intensive longitudinal evidence remains scarce. This study examined whether habitual use of 10 emotion regulation strategies, assessed using the Process Model of Emotion Regulation Questionnaire (PMERQ), predicts affective arousal and valence, and dissociation in daily life. We analysed ecological momentary assessment data from 88 individuals with posttraumatic stress disorder, borderline personality disorder, and dissociative disorders. Baseline PMERQ scores did not robustly predict daily levels of affective arousal and valence, and dissociation. The overall null findings of our study could reflect either a true absence of meaningful effects, insufficient sample size, or a mismatch between trait-level emotion regulation measures and momentary affect/dissociation. Future studies should prioritise momentary assessments of emotion regulation to disentangle state and trait effects.

Indexed as

AffectArousalBorderline Personality DisorderDissociative DisordersEmotional RegulationEmotionsStress Disorders, Post-TraumaticAdultEcological Momentary AssessmentFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAffectBorderline personality disorderDissociationEcological momentary assessmentEmotion regulationPosttraumatic stress disorder

Identifiers

PMID42744955
PMCPMC13578288

What OpenQuestion holds

Textmetadata
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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.