11,229 research outputs found
Cognitive Bias Modification for Depression
No full textChapter titled, "Cognitive Bias Modification for Depression" written by Christopher G. Beevers, Mary E. McNamara, Mackenzie Zisser, and Rachel L. Weisenburger for a forthcoming book, APA Handbook of Depression, edited by Jeremy Pettit and Thomas Olino
Pre-print for "Change in Negative Attention Bias Mediates the Association BetweenAttention Bias Modification Training and Depression Symptom Improvement"
No full textPre-print for manuscript titled "Change in Negative Attention Bias Mediates the Association Between Attention Bias Modification Training and Depression Symptom Improvement" by Christopher G. Beevers, Kean J. Hsu, David M. Schnyer, Jasper A.J. Smits, & Jason Shumake to appear in the Journal of Consulting and Clinical Psycholog
Cluster Analysis of Attentional Bias in MDD
No full textUsing data from Beevers et al. (2015), we applied k-means clustering to eye-tracking dot-probe data from 57 MDD patients
Analysis code for manuscript and supplemental materials
No full textAnalysis code used in manuscript: Self-referent encoding and depression symptoms: An intensive sampling approach by Rachel L. Weisenburger, Justin Dainer-Best, Mackenzie Zisser, Mary E. McNamara, Christopher G. Beever
Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"
No full textRaw data and statistical code accompanied by analysis narrative for reproducing pre- and post-ABM means for attention bias and BDI-II from the published paper. We are providing data to help facilitate meta-analyses in the future
Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach
No full textThese files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript
Pre-print for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"
No full textPre-prints of "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial.
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Dysfunctional Attitude Scale - Short Forms 1 & 2
No full textShort form of the Dysfunctional Attitude Scale (versions 1 and 2) that were created as part of this publication: Beevers, C. G., Strong, D. R., Meyer, B., Pilkonis, P. A., & Miller, I. R. (2007). Efficiently assessing negative cognition in depression: An item response theory analysis of the Dysfunctional Attitude Scale. Psychological Assessment, 19(2), 199–209. https://doi.org/10.1037/1040-3590.19.2.199Psycholog
Using network analysis to identify central symptoms of adolescent depression
No full textObjective: Experiencing depression symptoms, even at mild to moderate levels, is associated with maladaptive outcomes for adolescents. We used network analysis to evaluate which symptoms (and associations between symptoms) are most central to adolescent depression.
Method: Participants were part of a large, diverse community sample (N = 1,409) of adolescents between the ages of 13-19 years old. Network analysis was used to identify the most central symptoms (nodes) and associations between symptoms (edges) assessed by the Children’s Depression Inventory (CDI). We also evaluated these centrality indicators for network robustness using stability and accuracy tests, associated symptom centrality with mean levels of symptoms, and examined potential differences between the structure and connectivity of depression networks in boys and girls.
Results: The most central symptoms in the network were self-hatred, loneliness, sadness, and pessimism. The strongest associations between symptoms were sadness-crying, anhedonia-school dislike, sadness-loneliness, school work difficulty-school performance decrement, self-hatred-negative body image, sleep disturbance-fatigue, and self-deprecation-self-blame. The network was robust to stability and accuracy tests. Notably, symptom centrality and mean levels of symptoms were not associated. Boys and girls’ networks did not differ in levels of connectivity, though the link between body image and self-hatred was stronger in girls than boys.
Conclusions: Self-hatred, loneliness, sadness, and pessimism were the most central symptoms in adolescent depression networks, suggesting these symptoms (and associations between symptoms) should be prioritized in theoretical models of adolescent depression and could also serve as important treatment targets for adolescent depression interventions
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