Evidence map›Paper›PMID 39227828›Full record

ArticleBMC psychiatry2024

Targeting emotion dysregulation in depression: an intervention mapping protocol augmented by participatory action research.

Myungjoo Lee, Han Choi, Young Tak Jo

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Myungjoo LeeDepartment of Psychiatry, Kangdong Sacred Heart Hospital, 150, Seongan-Ro, Gangdong-Gu, Seoul, Republic of Korea.ORCID 0000-0002-8301-7996
Han ChoiDepartment of Bio-Medical Engineering, Ajou University, 206, World Cup-Ro, Yeongtong-Gu, Gyeonggi-do, Republic of Korea.ORCID 0000-0003-0406-5605
Young Tak JoDepartment of Psychiatry, Kangdong Sacred Heart Hospital, 150, Seongan-Ro, Gangdong-Gu, Seoul, Republic of Korea. youngtak.psyche@gmail.com.ORCID 0000-0002-0561-2503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a highly prevalent and often recurrent condition; however, treatment is not always accessible or effective in addressing abnormalities in emotional processing. Given the high prevalence of depression worldwide, identifying and mapping out effective and sustainable interventions is crucial. Emotion dysregulation in depression is not readily amenable to improvement due to the complex, time-dynamic nature of emotion; however, systematic planning frameworks for programs addressing behavioral changes can provide guidelines for the development of a rational intervention that tackles these difficulties. This study proposes an empirical and theoretical art-based emotion regulation (ER) intervention using an integrated approach that combines intervention mapping (IM) with participatory action research (PAR).

methodsWe used the IM protocol to identify strategies and develop an intervention for patients with major depressive disorder (MDD). As applied in this study, IM comprises six steps: (a) determining the need for new treatments and determinants of risk; (b) identifying changeable determinants and assigning specific intervention targets; (c) selecting strategies to improve ER across relevant theories and research disciplines; (d) creating a treatment program and refining it based on consultations with an advisory group; (e) developing the implementation plan and conducting a PAR study to pilot-test it; and (f) planning evaluation strategies and conducting a PAR study for feedback on the initial testing.

resultsFollowing the steps of IM, we developed two frameworks for an art-based ER intervention: an individual and an integrative framework. The programs include four theory- and evidence-based ER strategies aimed mainly at decreasing depressive symptoms and improving ER in patients with MDD. We also developed a plan for evaluating the proposed intervention. Based on our preliminary PAR studies, the intervention was feasible and acceptable for adoption and implementation in primary care settings.

conclusionThe application of IM incorporated with PAR has resulted in an intervention for improving ER in depression. While changing behavior is perceived as a challenging and elaborate task, this method can be useful in offering a clear structure for developing rational interventions. Further refinement is necessary through rigorous research.

Indexed as

Emotional RegulationMajor Depressive DisorderCommunity-Based Participatory ResearchHealth Services ResearchHumansDepressionEmotion regulationIntervention mappingParticipatory action researchPsychotherapy

Identifiers

PMID39227828
PMCPMC11373265

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LicenceCC BY-NC-ND
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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.