The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cognitive reactivity to sad mood: structure and validity of a new measure
Open accessAbstract
Cognitive reactivity to the experimental induction of sad mood has been found to predict relapse in recovered depressed patients. The present report describes the development and test of a questionnaire that aims to measure cognitive reactivity independently from a mood induction procedure. The Leiden Index of Depression Sensitivity (LEIDS) was filled out by 198 participants. After Principal Components Analysis, 26 items were retained, which comprised four factors with good psychometric properties: Negative Self-Evaluation; Acceptance/Coping; Indifference; and Harm Avoidance. In a sample of 48 college students, LEIDS scores--particularly Negative Self-Evaluation and Harm Avoidance--were rather strong predictors of cognitive reactivity in a mood induction procedure. In contrast, baseline depression and baseline cognitive dysfunction did not predict cognitive reactivity. It is concluded that the LEIDS is a promising measure of cognitive reactivity, and that clinical studies need to be carried out to test its ability to predict relapse of depression.
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Cites
Responses to depression and their effects on the duration of depressive episodes
Nolen-Hoeksema, S. (1991) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.100.4.569 · Cited by 4,529
SPINHOVEN, P., ORMEL, J., SLOEKERS, P. P. A., KEMPEN, G. I. J. M., SPECKENS, A. E. M., & HEMERT, A. M. V. (1997) · Psychological Medicine · doi:10.1017/s0033291796004382 · Cited by 2,158
Cognitive vulnerability to persistent depression
Teasdale, J. D. (1988) · Cognition & Emotion · doi:10.1080/02699938808410927 · Cited by 798 · cited 1×
“Modern cognitive theories have accommodated this finding by stating that dysfunctional cognitions do not disappear during remissions of depressive episodes, but become inactive (‘ latently present’ ) (Teasdale, 1988; Miranda & Persons, 1988; Segal, Williams, Teasdale, & Gemar, 1996).”
BackgroundSegal, Z. V., Gemar, M., & Williams, S. (1999) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.108.1.3 · Cited by 355
The Dysfunctional Attitude Scale: how well can it measure depressive thinking
Nelson, L. D., Stern, S. L., & Cicchetti, D. V. (1992) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/bf00962629 · Cited by 87
Cited by
Constructive and unconstructive repetitive thought
Watkins, E. R. (2008) · Psychological Bulletin · doi:10.1037/0033-2909.134.2.163 · Cited by 2,421
The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods
Penninx, B. W. J. H., Beekman, A. T. F., Smit, J. H., Zitman, F. G., Nolen, W. A., Spinhoven, P., Cuijpers, P., De Jong, P. J., Van Marwijk, H. W. J., Assendelft, W. J. J., et al. (2008) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.256 · Cited by 927
Steenbergen, L., Sellaro, R., van Hemert, S., Bosch, J. A., & Colzato, L. S. (2015) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2015.04.003 · Cited by 671
“The total score is calculated by adding-up all items, hence scores range between 0 and 63 (0–13: minimal depression, 14–19: mild depression, 20–28: moderate depression and 29–63: severe depression; van der Does, 2002a).”
MethodEhring, T., Ehlers, A., & Glucksman, E. (2008) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.76.2.219 · Cited by 313
The default mode network and recurrent depression: A neurobiological model of cognitive risk factors
Marchetti, I., Koster, E. H. W., Sonuga-Barke, E. J., & De Raedt, R. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9199-9 · Cited by 287
Metadata
- Authors
- Van der Does, W.
- Venue
- Behaviour Research and Therapy
- Publisher
- Elsevier BV
- Published
- 2002-01
- Volume
- 40
- Issue
- 1
- Pages
- 105-119
- ISSN
- 0005-7967 (ISSN-L)
- OpenAlex
- W2161299858
- Cited by
- 205
- References
- 5
- FWCI
- 3.34
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
