Evidence map›Paper›PMID 42755550›Full record

ArticleGeneral psychiatry2026

Pre-planned reappraisal via implementation intention down-regulates emotional experiences of youth with self-reported depressive symptoms.

Shengdong Chen, Li Luo, Xiling Zhang, Jiemin Yang, Tao Wang, Jiajin Yuan

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

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5 · Who and what money

Authors and funding

6 authors.

Shengdong ChenSchool of Psychology Qufu Normal University Qufu Shandong China.
Li LuoThe Department of Education Science Neijiang Normal University Neijiang Sichuan China.
Xiling ZhangMianyang Talent School Mianyang Sichuan China.
Jiemin YangInstitute of Brain and Psychological Sciences, Sichuan Normal University Chengdu Sichuan China.
Tao WangSchool of Psychology Qufu Normal University Qufu Shandong China.
Jiajin YuanInstitute of Brain and Psychological Sciences, Sichuan Normal University Chengdu Sichuan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive reappraisal is an emotion-regulation strategy that involves altering the emotional impact of a situation by changing its appraisal. However, individuals with depressive symptoms often struggle to deploy momentary cognitive reappraisal during emotional encounters due to impaired cognitive control. Pre-planned reappraisal formed through implementation intentions, that is, a strategy rehearsed in advance to activate automatically upon emotional triggers, may offer a more efficient alternative. Aims: This study examined whether pre-planned cognitive reappraisal via implementation intentions more effectively reduces negative emotional experience in youth with depressive symptoms than momentary reappraisal, and whether these effects persist after short-term re-exposure. Methods: This randomised, single-blind and three-arm experiment was conducted from 10 December 2021 to 19 December 2021 at Southwest University in China. Following screening with the Beck Depression Inventory-II (BDI-II), 64 undergraduate students with depressive symptoms (score ≥ 20) and 64 without depressive symptoms (score ≤ 10) were enrolled. Participants were randomly allocated to one of three experimental conditions: passive watching of emotional stimuli, momentary reappraisal (reinterpreting the meaning of a sad face upon presentation) or pre-planned reappraisal (applying a pre-trained reappraisal framework before stimulus presentation). The formal experiment included an emotion elicitation and regulation task, a 20-min interval during which participants completed questionnaires and a re-exposure phase in which all groups passively viewed novel sad faces. Subjective emotional experiences were measured using the nine-point self-assessment manikin (SAM). Results: Pre-planned reappraisal produced significantly less negative valence and lower arousal ratings for sad faces than passive watching in both participants with and without depressive symptoms. Momentary reappraisal only reduced negative emotional ratings in participants without depressive symptoms, but not those with depressive symptoms. During re-exposure, only prior pre-planned reappraisal yielded sustained reductions in negative emotional ratings. Participants with depressive symptoms also reported greater perceived benefit from pre-planned than from momentary reappraisal. Conclusions: Compared with momentary reappraisal, pre-planned cognitive reappraisal via implementation intentions produced stronger and more short-term sustained effects among youth with depressive symptoms, supporting its potential use in low-cost self-regulation interventions and clinical cognitive therapies.

Indexed as

cognitive reappraisaldepressive symptomsemotional experiencepre‐planned emotion regulationsad

Identifiers

PMID42755550
PMCPMC13581676

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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.