372 research outputs found

    Prospective cognitions in anxiety and depression: Replication and methodological extension

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    The present study presents a replication and methodological extension of MacLeod, Tata, Kentish, and Jacobsen (1997) with a nonclinical sample, using future-directed imagery to assess prospective cognitions. Results showed that only anxiety (but not depression) was related to enhanced imagery for future negative events. Both anxiety and depression showed significant zero-order correlations with reduced imagery for future positive events. However, when the overlap between anxiety and depression was controlled for, only depression (but not anxiety) showed a unique association with reduced imagery for positive events. Implications of these findings for cognitive models of anxiety and depression are discussed

    Changes in the relationship between self-reference and emotional valence as a function of dysphoria

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    The self-positivity bias is found to be an aspect of normal cognitive function. Changes in this bias are usually associated with changes in emotional states, such as dysphoria or depression. The aim of the present study was to clarify the role of emotional valence within self-referential processing. By asking non-dysphoric and dysphoric individuals to rate separately the emotional and self-referential content of a set of 240 words, it was possible to identify the differences in the relationship between self-reference and emotional valence, which are associated with dysphoria. The results support the existence of the self-positivity bias in non-dysphoric individuals. More interestingly, dysphoric individuals were able to accurately identify the emotional content of the word stimuli. They failed, however, to associate this emotional valence with self-reference. These findings are discussed in terms of attributional self-biases and their consequences for cognition

    Structural invariance of General Behavior Inventory (GBI) scores in Black and White young adults.

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    In the United States, Black and White individuals show discrepant rates of diagnosis of bipolar disorder versus schizophrenia and antisocial personality disorder, as well as disparate access to and utilization of treatment for these disorders (e.g., Alegria, Chatterji et al., 2008; Chrishon et al., 2012). Such diagnostic discrepancies might stem from racially-related cognitive biases in clinical judgment or from racial biases in measurements of bipolar disorder. The General Behavior Inventory (GBI) is among the most well-validated and widely used measures of bipolar mood symptoms, but the psychometric properties of the GBI have been examined primarily in predominantly White samples. This study used multi-group confirmatory factor analyses (CFA) to examine the invariance of GBI scores across racial groups with a non-clinical sample. Fit was acceptable for tests of configural invariance, equal factor loadings, and equal intercepts, but not invariance of residuals. Findings indicate that GBI scores provide functionally invariant measurement of mood symptoms in both Black and White samples. The use of GBI scores may contribute consistent information to clinical assessments and could potentially reduce diagnostic discrepancies and associated differences in access to and utilization of mental health services

    Differentiating bipolar disorder from unipolar depression and ADHD: The utility of the General Behavior Inventory.

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    Adolescence and early adulthood are the peak ages for the onset of unipolar and bipolar mood disorders. Moreover, for most individuals with attention deficit hyperactivity disorder (ADHD), symptoms and impairment begin in childhood but persist well into adolescence and adulthood (e.g., Barkley, 2010). Thus, adolescence and early adulthood represent a developmental window wherein individuals can be affected by mood disorders, ADHD, or both. Because treatment protocols for unipolar depression (UPD), bipolar disorder (BD), and ADHD are quite different, it is crucial that assessment instruments used among adolescents and young adults differentiate between these disorders. The primary objectives of this study were to evaluate the predictive and diagnostic validity of General Behavior Inventory (GBI; Depue, Krauss, Spoont, & Arbisi, 1989) scores in discriminating BD from UPD and ADHD. Participants were drawn from adolescent (n=361) and young adult (n=614) samples. Based on findings from logistic regression and receiver operating characteristics analyses, the diagnostic efficiency of the GBI scales range from fair (discriminating UPD from BD) to good (discriminating BD participants from nonclinical controls). Multilevel diagnostic likelihood ratios are also provided to facilitate individual decision making

    Associations between sleep disturbance, cognitive functioning and work disability in Bipolar Disorder

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    Bipolar Disorder (BD) is associated with impairment in a number of areas including poor work functioning, often despite the remission of mood symptoms. The present study aimed to examine the role of sleep disturbance and cognitive functioning in occupational impairment in BD. Twenty-four euthymic BD participants and 24 healthy control participants completed a week of prospective assessment of sleep disruption via self-report and actigraphy, a battery of neuropsychological tests of executive functioning, working memory, and verbal learning, and assessments of work functioning. BD participants experienced significantly poorer cognitive functioning as well as greater months of unemployment and greater incidence of being fired than controls. Moderation analyses revealed that both poor sleep and cognitive functioning were associated with poor work performance in BD participants, but not control participants. Sleep and cognitive functioning may be impaired in euthymic BD and are associated with poor work functioning in this population. More research should be conducted to better understand how sleep and cognitive functioning may interact in BD

    Problem-Solving Orientation and Attributional Style: Moderators of the Impact of Negative Life Events on the Development of Depressive Symptoms in Adolescence?

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    Followed up 733 adolescents, ages 12 to 14 years, from a community sample over a 1-year period. Depressive symptoms at 1-year follow-up, controlling for baseline depression levels, were predicted by negative life events (NLEs) in the previous 12 months, attributional style (AS), negative problem solving orientation (NPSO), and the interaction between NLEs and NPSO. In the presence, but not absence, of high NLEs, NPSO predicted increases in depressive symmptoms. In contrast, pessimistic AS predicted future increases in depression irrespective of the occurrence of NLEs. The findings supported a cognitive diathesis-stress model of the development of depression for NPSO but not AS

    The interaction of affective states and cognitive vulnerabilities in the prediction of non-suicidal self-injury

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    Non-suicidal self-injury (NSSI) is a serious public health concern and remains poorly understood. This study sought to identify both cognitive and affective vulnerabilities to NSSI and examine their interaction in the prediction of NSSI. A series of regressions indicated that low levels of positive affect moderated the relationships between self-criticism and brooding and NSSI. The associations of self-criticism and brooding with greater frequency of NSSI were attenuated by higher levels of positive affect. The interaction of cognitive and affective vulnerabilities is discussed within the context of current NSSI theory

    A systematic review of the relationship between rumination and suicidality

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    Rumination has been persistently implicated in the etiology of hopelessness and depression: proximal predictors of suicidality. As a result, research has started to examine the role of rumination in suicidality. This systematic review aims to: (i) provide a concise synopsis of the current progress in examining the relationship between rumination and suicidality; and (ii) highlight areas for future research. To this end, a search of the international literature was conducted using the three main psychological and medical databases (Psych Info [1887-October 2007], Medline [1966-October 2007] and Web of Knowledge [1981-October 2007]). Eleven studies were identified providing evidence, with one exception, of a relationship between rumination and suicidality. This systematic review has highlighted a considerable dearth of studies, specifically of case-control and prospective, clinical studies, in the worldwide literature. Key areas for future research are discussed

    Severity of Depressive Symptoms and Accuracy of Dietary Reporting among Obese Women with Major Depressive Disorder Seeking Weight Loss Treatment

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    An elevation in symptoms of depression has previously been associated with greater accuracy of reported dietary intake, however this association has not been investigated among individuals with a diagnosis of major depressive disorder. The purpose of this study was to investigate reporting accuracy of dietary intake among a group of women with major depressive disorder in order to determine if reporting accuracy is similarly associated with depressive symptoms among depressed women. Reporting accuracy of dietary intake was calculated based on three 24-hour phone-delivered dietary recalls from the baseline phase of a randomized trial of weight loss treatment for 161 obese women with major depressive disorder. Regression models indicated that higher severity of depressive symptoms was associated with greater reporting accuracy, even when controlling for other factors traditionally associated with reporting accuracy (coefficient  =  0.01 95% CI = 0.01 – 0.02). Seventeen percent of the sample was classified as low energy reporters. Reporting accuracy of dietary intake increases along with depressive symptoms, even among individuals with major depressive disorder. These results suggest that any study investigating associations between diet quality and depression should also include an index of reporting accuracy of dietary intake as accuracy varies with the severity of depressive symptoms
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