The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Combining imagination and reason in the treatment of depression: A randomized controlled trial of internet-based cognitive-bias modification and internet-CBT for depression.
Open accessAbstract
OBJECTIVE: Computerized cognitive-bias modification (CBM) protocols are rapidly evolving in experimental medicine yet might best be combined with Internet-based cognitive behavioral therapy (iCBT). No research to date has evaluated the combined approach in depression. The current randomized controlled trial aimed to evaluate both the independent effects of a CBM protocol targeting imagery and interpretation bias (CBM-I) and the combined effects of CBM-I followed by iCBT. METHOD: Patients diagnosed with a major depressive episode were randomized to an 11-week intervention (1 week/CBM-I + 10 weeks/iCBT; n = 38) that was delivered via the Internet with no face-to-face patient contact or to a wait-list control (WLC; n = 31). RESULTS: Intent-to-treat marginal models using restricted maximum likelihood estimation demonstrated significant reductions in primary measures of depressive symptoms and distress corresponding to medium-large effect sizes (Cohen's d = 0.62-2.40) following CBM-I and the combined (CBM-I + iCBT) intervention. Analyses demonstrated that the change in interpretation bias at least partially mediated the reduction in depression symptoms following CBM-I. Treatment superiority over the WLC was also evident on all outcome measures at both time points (Hedges gs = .59-.98). Significant reductions were also observed following the combined intervention on secondary measures associated with depression: disability, anxiety, and repetitive negative thinking (Cohen's d = 1.51-2.23). Twenty-seven percent of patients evidenced clinically significant change following CBM-I, and this proportion increased to 65% following the combined intervention. CONCLUSIONS: The current study provides encouraging results of the integration of Internet-based technologies into an efficacious and acceptable form of treatment delivery. (PsycINFO Database Record (c) 2013 APA, all rights reserved).
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Cites
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
KESSLER, R. C., ANDREWS, G., COLPE, L. J., HIRIPI, E., MROCZEK, D. K., NORMAND, S.-L. T., WALTERS, E. E., & ZASLAVSKY, A. M. (2002) · Psychological Medicine · doi:10.1017/s0033291702006074 · Cited by 10,327
Self-citationJacobson, N. S., & Truax, P. (1991) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.59.1.12 · Cited by 7,770
Psychometric properties of the credibility/expectancy questionnaire
Devilly, G. J., & Borkovec, T. D. (2000) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/s0005-7916(00)00012-4 · Cited by 2,295 · cited 1×
“Our Treatment Expectancy and Outcomes Questionnaire (adapted from Devilly & Borkovec, 2000) contained these three questions: “At this point, how logical does the program offered to you seem?”
MethodAndrews, G., Cuijpers, P., Craske, M. G., McEvoy, P., & Titov, N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013196 · Cited by 1,311
Self-citationInduced emotional interpretation bias and anxiety.
Mathews, A., & Mackintosh, B. (2000) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.109.4.602 · Cited by 739 · cited 1×
“…are repeatedly presented with ambiguous scenarios that are consistently resolved in a positive manner, thus training an automatic bias to positively interpret novel ambiguous information in their day-to-day lives (Holmes, Mathews, Dalgleish, & Mackintosh, 2006; Mathews & Mackintosh, 2000).”
BackgroundCognitive processes in anxiety
Butler, G., & Mathews, A. (1983) · Advances in Behaviour Research and Therapy · doi:10.1016/0146-6402(83)90015-2 · Cited by 738
Effect of Acute Antidepressant Administration on Negative Affective Bias in Depressed Patients
Harmer, C. J., O’Sullivan, U., Favaron, E., Massey-Chase, R., Ayres, R., Reinecke, A., Goodwin, G. M., & Cowen, P. J. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.09020149 · Cited by 485
Titov, N., Andrews, G., Davies, M., McIntyre, K., Robinson, E., & Solley, K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010939 · Cited by 406
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Cited by
Mental Imagery: Functional Mechanisms and Clinical Applications
Pearson, J., Naselaris, T., Holmes, E. A., & Kosslyn, S. M. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.08.003 · Cited by 1,087
Self-citationAndrews, G., Basu, A., Cuijpers, P., Craske, M. G., McEvoy, P., English, C. L., & Newby, J. M. (2018) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2018.01.001 · Cited by 922
Self-citationExamining emotion regulation in depression: A review and future directions
Joormann, J., & Stanton, C. H. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.07.007 · Cited by 749
Digital interventions for the treatment of depression: a meta-analytic review
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021) · Psychological Bulletin · doi:10.1037/bul0000334 · Cited by 390
Josephine, K., Josefine, L., Philipp, D., David, E., & Harald, B. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.021 · Cited by 341
Metadata
- Authors
- Williams, A. D., Blackwell, S. E., Mackenzie, A., Holmes, E. A., & Andrews, G.
- Venue
- Journal of Consulting and Clinical Psychology
- Published
- 2013-10
- Volume
- 81
- Issue
- 5
- Pages
- 793-799
- ISSN
- 0022-006X (ISSN-L)
- 1939-2117
- OpenAlex
- W2046371322
- Cited by
- 195
- References
- 19
- FWCI
- 28.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
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