Cognitive Styles in Mood Disorders: Discriminative Ability of Unipolar and Bipolar Cognitive Profiles.

Although previous research has identified cognitive styles that distinguish individuals with bipolar disorder (BD), individuals with major depressive disorder (MDD), and individuals without mood disorders from one another, findings have been inconsistent. The current study included 381 participants classified into a BD group, a MDD group, and a no mood disorder group. To differentiate between these groups, this study evaluated cognitive styles with a battery of traditional and more recently-developed measures. Receiver operating characteristics (ROC) analyses were used to determine the discriminate ability of variables with significant between group differences. Results supported that BD and MDD may be characterized by distinct cognitive styles. Given work showing that interventions for MDD may not be effective at treating BD, it is important to directly compare individuals with these disorders. By clarifying the overlapping and divergent cognitive styles characterizing BD and MDD, research can not only improve diagnostic validity, but also provide more efficacious and effective interventions.

Aggression and impulsivity as predictors of stress generation in bipolar spectrum disorders.

BACKGROUND: Some evidence suggests that individuals with bipolar spectrum disorders (BSD) generate stressful life events, contributing to a more severe course of disorder. A recent update to the Behavioral Approach System (BAS) dysregulation theory of BSD highlights the need to investigate anger as approach motivation. Although research has shown that individuals with BSD generate stress, it is unclear whether personality traits characteristic of BSD, such as aggression and impulsivity, are related to this stress generation. METHODS: The current longitudinal study employed multilevel modeling to examine stress generation in a sample of 104 individuals with BSD and 96 healthy controls. We examined rates of BAS-deactivating, BAS-activating, and Anger-evoking life events over a period of up to 4.5 years as a function of levels of aggression and impulsivity. RESULTS: Individuals with BSD reported significantly higher numbers of dependent Anger-evoking events and BAS-deactivating events, but not dependent BAS-activating events, than controls. Trait levels of hostility and impulsivity predicted all types of events, although bipolar diagnosis remained a significant predictor of BAS-deactivating and Anger-evoking events. LIMITATIONS: The life events measures were not designed to assess Anger-evoking events; further research should replicate these findings and develop more finely tuned assessments of stressful anger events. In addition, the sample was not a clinical sample. CONCLUSIONS: This study adds to the literature on stress generation in BSD; trait level personality differences predict stress generation, beyond bipolar diagnosis. This also further establishes the importance of including anger-evoking events in the BAS model of BSDs and stress generation.

Emotion regulation characteristics and cognitive vulnerabilities interact to predict depressive symptoms in individuals at risk for bipolar disorder: a prospective behavioural high-risk study.

Recent work has identified behavioural approach system (BAS) sensitivity as a risk factor for the first onset and recurrence of mood episodes in bipolar disorder, but little work has evaluated risk factors for depression in individuals at risk for, but without a history of, bipolar disorder. The present study evaluated cognitive styles and the emotion-regulatory characteristics of emotional clarity and ruminative brooding as prospective predictors of depressive symptoms in individuals with high versus moderate BAS sensitivity. Three separate regressions indicated that the associations between dysfunctional attitudes, self-criticism, and neediness with prospective increases in depressive symptoms were moderated by emotional clarity and brooding. Whereas brooding interacted with these cognitive styles to exacerbate their impact on depressive symptoms, emotional clarity buffered against their negative impact. These interactions were specific to high-BAS individuals for dysfunctional attitudes, but were found across the full sample for self-criticism and neediness. These results indicate that emotion-regulatory characteristics and cognitive styles may work in conjunction to confer risk for and resilience against depression, and that some of these relationships may be specific to individuals at risk for bipolar disorder.

Positive overgeneralization and Behavioral Approach System (BAS) sensitivity interact to predict prospective increases in hypomanic symptoms: a behavioral high-risk design.

Recent work has identified Behavioral Approach System (BAS) sensitivity as a risk factor for the first onset and recurrence of mood episodes in bipolar disorder, but little work has evaluated risk factors for the prospective development of hypomanic symptoms in individuals at risk for, but without a history of, bipolar disorder. The present study used a prospective behavioral high-risk design to evaluate the impact of positive overgeneralization, a cognitive correlate of risk for hypomania, on hypomanic symptoms in individuals with high vs. moderate BAS sensitivity, but without a history of mood elevation. Hierarchical linear regressions indicated that upward positive overgeneralization and BAS sensitivity interacted to predict increased levels of hypomanic symptoms at follow-up, controlling for initial hypomanic symptoms. The pattern of this interaction was such that positive overgeneralization predicted higher levels of hypomanic symptoms among high-BAS, but not moderate-BAS, individuals. Thus, the self-reported tendency to experience grandiose increases in confidence following success may confer additional risk for mood elevation among individuals already at risk for developing bipolar disorder. Potential implications for prevention and treatment are discussed.

High Behavioral Approach System (BAS) sensitivity, reward responsiveness, and goal-striving predict first onset of bipolar spectrum disorders: a prospective behavioral high-risk design.

A prospective, behavioral high-risk design provided a theoretically guided examination of vulnerability to first onset of bipolar spectrum disorder based on the Behavioral Approach System (BAS) model. Adolescents (ages 14-19) at an "age of risk" for bipolar disorder onset were screened on BAS sensitivity by interviewers blind to current symptoms, lifetime history, and family history of psychopathology. Participants were selected with high versus moderate levels of BAS sensitivity and administered a lifetime diagnostic interview. Those with a bipolar spectrum disorder, psychosis, or hypomanic episode with onset prior to the BAS sensitivity assessment were excluded. High BAS (n = 171) and moderate BAS (n = 119) sensitivity participants in the final sample completed baseline measures of symptoms, goal-setting, and reward responsiveness and were followed prospectively with semistructured diagnostic interviews every 6 months. Consistent with the vulnerability hypothesis of the BAS model of bipolar disorder, high BAS participants had a greater likelihood, and shorter time to onset, of bipolar spectrum disorder than moderate BAS participants across an average of 12.8 months of follow-up (12.9% vs. 4.2%), controlling for baseline depressive and hypomanic symptoms, and family history of bipolar disorder. High reward responsiveness on a behavioral task and ambitious goal-striving for popular fame and financial success (but not impulsivity) also predicted first onset of bipolar spectrum disorder controlling for the covariates and BAS risk group, and ambitious goal-striving partially mediated the BAS risk group effect. We discuss implications of the findings for the BAS model of bipolar disorder and early intervention efforts.