Critical fluctuations as an early-warning signal for sudden gains and losses in patients receiving psychotherapy for mood disorders
| Autor: | Marieke A. Helmich, Anna Lichtwarck-Aschoff, Fred Hasselman, Marieke M. J. W. van Rooij, Benjamin Aas, Merlijn Olthof, Guido Strunk, Guenter Karl Schiepek |
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| Přispěvatelé: | Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE) |
| Rok vydání: | 2020 |
| Předmět: |
sudden gains
replication Psychotherapist cognitive-behavioral therapy NONEQUILIBRIUM PHASE-TRANSITIONS onset medicine.medical_treatment open data CRITICAL SLOWING-DOWN dynamic-systems approach 050105 experimental psychology preregistered 03 medical and health sciences 0302 clinical medicine early-warning signals medicine 0501 psychology and cognitive sciences In patient patterns complex systems Depression (differential diagnoses) Warning system 05 social sciences Symptom severity medicine.disease mood disorders Cognitive behavioral therapy psychotherapy Clinical Psychology Mood disorders depression COORDINATED BIOLOGICAL MOTION Psychology Developmental Psychopathology 030217 neurology & neurosurgery |
| Zdroj: | Clinical Psychological Science Clinical Psychological Science. SAGE Publications Inc. Clinical Psychological Science, 8, 1, pp. 25-35 Clinical Psychological Science, 8, 25-35 |
| ISSN: | 2167-7026 |
| Popis: | Contains fulltext : 214849.pdf (Publisher’s version ) (Open Access) Whereas sudden gains and losses (large shifts in symptom severity) in patients receiving psychotherapy appear abrupt and hence may seem unexpected, hypotheses from complex-systems theory suggest that sudden gains and losses are actually preceded by certain early-warning signals (EWSs). We tested whether EWSs in patients' daily self-ratings of the psychotherapeutic process predicted future sudden gains and losses. Data were collected from 328 patients receiving psychotherapy for mood disorders who completed daily self-ratings about their therapeutic process using the Therapy Process Questionnaire (TPQ). Sudden gains and losses were classified from the Problem Intensity scale of the TPQ. The other items of the TPQ were used to compute the EWSs. EWSs predicted an increased probability for sudden gains and losses in a 4-day predictive window. These results show that EWSs can be used for real-time prediction of sudden gains and losses in clinical practice. 11 p. |
| Databáze: | OpenAIRE |
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