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      Detecting Impending Symptom Transitions Using Early-Warning Signals in Individuals Receiving Treatment for Depression

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          Abstract

          Drawing on dynamical systems theory, we investigated whether within-persons-detected early-warning signals in momentary affect preceded critical transitions toward lower levels of depressive symptoms during therapy. Participants were 41 depressed individuals who were starting psychological treatment. Positive and negative affect (high and low arousal) were measured 5 times a day using ecological momentary assessments over 4 months ( M = 522 observations per individual). Depressive symptoms were assessed weekly over 6 months. Within-persons rising autocorrelation was found for 89% of individuals with transitions in at least one variable (vs. 62.5% for individuals without transitions) and in a consistently higher proportion of the separate variables (~44% across affect measures) than for individuals without transitions (~27%). Rising variance was found for few individuals, both preceding transitions (~11%) and for individuals without transitions (~12%). Part of our sample showed critical slowing down, but early-warning signals may have limited value as a personalized prediction method.

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          Generalized Additive Models

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            Clinical significance: A statistical approach to defining meaningful change in psychotherapy research.

            In 1984, Jacobson, Follette, and Revenstorf defined clinically significant change as the extent to which therapy moves someone outside the range of the dysfunctional population or within the range of the functional population. In the present article, ways of operationalizing this definition are described, and examples are used to show how clients can be categorized on the basis of this definition. A reliable change index (RC) is also proposed to determine whether the magnitude of change for a given client is statistically reliable. The inclusion of the RC leads to a twofold criterion for clinically significant change.
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              A modified Mann-Kendall trend test for autocorrelated data

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                Author and article information

                Contributors
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                Journal
                Clinical Psychological Science
                Clinical Psychological Science
                SAGE Publications
                2167-7026
                2167-7034
                November 2023
                December 01 2022
                November 2023
                : 11
                : 6
                : 994-1010
                Affiliations
                [1 ]Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen
                [2 ]Department of Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen
                Article
                10.1177/21677026221137006
                cfaa289a-ca6d-42bf-8254-319076337377
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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