Efficacy of Guided iCBT for Depression and Mediation of Change by Cognitive Skill Acquisition

Guided internet CBT (iCBT) is a promising treatment for depression; however, it is less well known through what mechanisms iCBT works. Two possible mediators of change are the acquisition of cognitive skills and increases in behavioral activation. We report results of an 8-week waitlist controlled trial of guided iCBT, and test whether early change in cognitive skills or behavioral activation mediated subsequent change in depression. The sample was 89 individuals randomized to guided iCBT (n = 59) or waitlist (n = 30). Participants were 75% female, 72% Caucasian, and 33 years old on average. The PHQ9 was the primary outcome measure. Mediators were the Competencies of Cognitive Therapy Scale–Self Report and the Behavioral Activation Scale for Depression–Short Form. Treatment was Beating the Blues plus manualized coaching. Outcomes were analyzed using linear mixed models, and mediation with a bootstrap resampling approach. The iCBT group was superior to waitlist, with large effect sizes at posttreatment (Hedges’ g = 1.45). Dropout of iCBT was 29% versus 10% for waitlist. In the mediation analyses, the acquisition of cognitive skills mediated subsequent depression change (indirect effect = -.61, 95% bootstrapped biased corrected CI: -1.47, -0.09), but increases in behavioral activation did not. iCBT is an effective treatment for depression, but dropout rates remain high. Change in iCBT appears to be mediated by improvements in the use of cognitive skills, such as critically evaluating and restructuring negative thoughts.     

The Incremental Validity of Self-Report and Performance-Based Methods for Assessing Hostility to Predict Cardiovascular Disease in Physicians

We evaluated the utility of an integrative, multimethod approach for assessing hostility-related constructs to predict premature cardiovascular disease (CVD) and premature coronary heart disease (CHD) using participants from the Johns Hopkins Precursors Study, which was designed to identify risk factors for heart disease. Participants were assessed at baseline while in medical school from 1946 to 1962 (M age = 24.6) and have been followed annually since then. Baseline assessment included individually administered Rorschach protocols (N = 416) scored for aggressive imagery (i.e., Aggressive Content, Aggressive Past) and self-reports of 3 possible anger responses to stress. Cox regression analyses predicting morbidity or mortality by age 55 revealed a significant interaction effect; high levels of Aggressive Content with high self-reported hostility predicted an increased rate of premature CVD and CHD, and incrementally predicted the rate of these events after controlling for the significant covariates of smoking (CVD and CHD) and cholesterol (CHD) that were also assessed at baseline. The hostility and anger measures, as well as other baseline covariates, were not predictors of CVD risk factors assessed at midlife during follow-up. Overall, this integrative model of hostility illustrates the potential value of multimethod assessment to areas of health psychology and preventive medicine.     

A Brief Argument For Consciousness Without Access

This paper proposes a new argument in favour of the claim that phenomenal consciousness overflows – that is, has a far higher capacity than – cognitive access. It shows that opponents of overflow implicate a necessary role for visual imagery in the change detection paradigm. However, empirical evidence suggests that there is no correlation between visual imagery abilities and performance in this paradigm. Since the use of imagery is not implicated in the performance strategy of subjects, we find a new argument for consciousness without access.     

Neurocognitive predictors of performance‐based functional capacity in bipolar disorder

Neurocognitive impairment can predict functional capacity in individuals with bipolar disorder, though little research has examined whether different neurocognitive domains impact specific types of tasks. This study examined the relationship between several neurocognitive variables and the UCSD Performance‐Based Skills Assessment (UPSA; Patterson et al., 2011) to identify the domains and tests that best predict the performance across the subscales. Forty‐seven euthymic participants who were diagnosed with either Bipolar I or Bipolar II were recruited and assessed on a battery of neuropsychological measures and the UPSA. Correlational and regression analyses were run to identify neurocognitive predictors of UPSA subscales. Per the literature, verbal learning and memory and executive function composites were first examined. Verbal learning and memory predicted the Communication subscale and Total score variables above and beyond the estimated FSIQ and symptom rating scales. In a secondary exploratory analysis, the Benton Judgment of Line Orientation subtest predicted the Finance subscale while the California Verbal Learning Test predicted the UPSA total score. Verbal learning and memory emerged as the strongest predictor of functional capacity, suggesting that this domain should be investigated in future mediational and longitudinal studies with the UPSA.     

Examining the Factor Structure and Structural Invariance of the PANAS Across Children,Adolescents, and Young Adults

It is unclear what factor structure best represents the Positive and Negative Affect Schedule (PANAS) from childhood to adulthood. The PANAS structure was examined in a sample of 555 children (M age = 11.66, SD = 1.24), 608 adolescents (M age = 15.45, SD = 1.09), and 553 young adults (M age = 18.75, SD = 1.00). A partially invariant model consisting of Positive Affect, Fear, and Distress factors best represented the PANAS across all age groups, indicating that the underlying constructs are the same across age but that the factors become increasingly interrelated with increasing age.