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Development and testing of a self-regulation model for recurrent depression

Bibliographic Data

ID4229265
AuthorsBonnie M Hagerty (University of Michigan), Melissa A Bathish (0000-0002-7651-9138, University of Michigan), Emily Kuchman (University of Michigan)
Year2020
Volume25
Issue10-11
Pages1732-1742
Publication date2020-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Health Psychology (JOURNAL)
Journal identifiersISSN: 1359-1053 • E-ISSN: 1461-7277
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1359105318772083
OpenAlexW2800878826
LanguageEN
Citations received3
References cited37

Self-regulation is a strategy for self-management of depression. Study aims were to (1) describe development of an intervention based on metacognition and self-regulation, (2) test intervention feasibility and utility, and (3) determine its effectiveness in reducing depressive symptoms. The Self-Regulated Illness Management of Depression intervention was developed and taught to 22 participants with recurrent depression. There was no attrition 6 months post intervention. At 6 months, there was a significant decrease in depressive symptoms ( M = 10.21, standard deviation = 8.0), t(18) = 5.60, p < .001, and 73 percent of participants used Self-Regulated Illness Management of Depression frequently. Results indicated that Self-Regulated Illness Management of Depression was feasible and useful

Attrition · Cognition · Depression (economics · Depressive symptoms · Intervention (counseling · Psychiatry · Self-management · Digital Mental Health Interventions · Medicine · Mental Health Research Topics · Psychology · Schizophrenia research and treatment · Clinical Psychology

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Unique citing works3
Citations per year0,5
Citation span2020 - 2023 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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