The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Critical Fluctuations as an Early-Warning Signal for Sudden Gains and Losses in Patients Receiving Psychotherapy for Mood Disorders
Open accessAbstract
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.
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“However, EMA data has also been successfully used to predict the development of symptoms within treatments [e.g., (42)].”
From Personalised depression forecasting using mobile sensor data and ecological momentary assessment (2022) · cites this paper as [42]
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Early-warning signals for critical transitions
Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M., & Sugihara, G. (2009) · Nature · doi:10.1038/nature08227 · Cited by 4,854
A Dynamic Systems Approach to the Development of Cognition and Action
Thelen, E., & Smith, L. B. (1994) · doi:10.7551/mitpress/2524.001.0001 · Cited by 3,470
A dynamic systems approach to the development of cognition and action
Thelen, E., & Smith, L. B. (1996) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(96)90021-8 · Cited by 3,454
Mediators and Mechanisms of Change in Psychotherapy Research
Kazdin, A. E. (2007) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091432 · Cited by 2,504 · cited 4×
“One central issue in the study of change processes in psychotherapy is the establishment of a timeline in individual change trajectories (i.e., a temporal relation between a hypothesized mechanism and a symptom severity measure; Kazdin, 2007).”
BackgroundMethodInfluentialAnticipating Critical Transitions
Scheffer, M., Carpenter, S. R., Lenton, T. M., Bascompte, J., Brock, W., Dakos, V., van de Koppel, J., van de Leemput, I. A., Levin, S. A., van Nes, E. H., et al. (2012) · Science · doi:10.1126/science.1225244 · Cited by 2,208
Haken, H. (1983) · Springer series in synergetics · doi:10.1007/978-3-642-88338-5 · Cited by 1,471
Lack of group-to-individual generalizability is a threat to human subjects research
Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711978115 · Cited by 1,099
Critical slowing down as early warning for the onset and termination of depression
van de Leemput, I. A., Wichers, M., Cramer, A. O. J., Borsboom, D., Tuerlinckx, F., Kuppens, P., van Nes, E. H., Viechtbauer, W., Giltay, E. J., Aggen, S. H., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312114110 · Cited by 816
Research works printed but not linked: 5
- Haken H., Schiepek G. (2010). Synergetik in der Psychologie: Selbstorganisation verstehen und gestalten [Synergetics in psychology: understanding and shaping self-organization] (corrected ed.). Göttingen, Germany: Hogrefe.
- 10.1016/j.cpr.2007.01.008.Change · DOI
- Heinzel S., 2014, Nonlinear Dynamics, Psychology, and Life Sciences, 18, 155
- Helmich M. A., 2019, Sudden gains and linear change predict better outcomes for depressed individuals in therapy
- World Health Organization, 1992, International statistical classification of diseases and related health problems, 10th revisions (ICD-10)
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Roefs, A., Fried, E. I., Kindt, M., Martijn, C., Elzinga, B., Evers, A. W. M., Wiers, R. W., Borsboom, D., & Jansen, A. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104096 · Cited by 185
Studying Behaviour Change Mechanisms under Complexity
Heino, M. T. J., Knittle, K. P., Noone, C., Hasselman, F., & Hankonen, N. E. (2021) · Behavioral Sciences · doi:10.3390/bs11050077 · Cited by 161
Self-citationA complex systems approach to the study of change in psychotherapy
Hayes, A. M., & Andrews, L. A. (2020) · BMC Medicine · doi:10.1186/s12916-020-01662-2 · Cited by 149
A review of approaches and models in psychopathology conceptualization research
Eaton, N. R., Bringmann, L. F., Elmer, T., Fried, E. I., Forbes, M. K., Greene, A. L., Krueger, R. F., Kotov, R., McGorry, P. D., Mei, C., et al. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00218-4 · Cited by 171
Studying Mental Health Problems as Systems, Not Syndromes
Fried, E. I. (2022) · Current Directions in Psychological Science · doi:10.1177/09637214221114089 · Cited by 169
Metadata
- Authors
- Olthof, M., Hasselman, F., Strunk, G., van Rooij, M., Aas, B., Helmich, M. A., Schiepek, G., & Lichtwarck-Aschoff, A.
- Affiliations
- Radboud University Nijmegen (NL)
- TU Dortmund University (DE)
- Behavioural Science Institute, Radboud University
- LMU Klinikum (DE)
- University Medical Center Groningen (NL)
- Paracelsus Medical University (AT)
- Corresponding author
- Olthof, Merlijn
- Venue
- Clinical Psychological Science
- Publisher
- SAGE Publications
- Published
- 2019-09-24
- Volume
- 8
- Issue
- 1
- Pages
- 25-35
- ISSN
- 2167-7026 (ISSN-L)
- 2167-7034
- OpenAlex
- W2976346093
- Cited by
- 146
- References
- 53
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 20 · 2023: 30 · 2022: 32 · 2021: 23 · 2020: 16 · 2019: 2
- FWCI
- 21.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Psychological Science (publishedVersion, cc-by-nc)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by-nc)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by-nc)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by-nc)
- Funders
- h2020 european research council (ERC-CoG-2015; No 681466)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
- Keywords
- early warning indicators, critical fluctuations, psychotherapy outcome prediction, mood disorders, therapeutic process, complexity theory
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