Objective: To determine the prevalence and predictors of anxiety and depression in patients with heart failure due to Left Ventricular Systolic Dysfunction (LVSD). Background: Psychological adjustment to Chronic Heart Failure (CHF) can be poor, with the prevalence of depression in out-patients ranging from 13% to 48%. The prevalence of anxiety disorders in this population is unknown and the factors that predict anxiety and depression are not well understood. Methods: 100 out-patients from a community heart failure programme completed a clinical diagnostic interview-the Structured Clinical Interview (SCID-I), to evaluate anxiety and depression. Mean age was 67 T 11 years, 17% were women and 91% were NYHA Class II or III. Other standardised measures were of cognition, biomedical status, social support and previous physical and mental health history. Results: The prevalence rates of anxiety and depression (all subtypes) were 18.4% and 28.6%, respectively. Predictors of depression included a reported history of mental ill-health and NYHA class. Predictors of anxiety included a reported history of mental ill-health, comorbid physical illness (diabetes and angina) and NYHA class. Severity of LVSD did not predict either anxiety or depression. Conclusions: Both anxiety and depression are common in CHF patients. The data on the predictors of poor psychological adjustment might assist in targeting bio-psychosocial intervention for patients who are at most at risk of anxiety and depression, within community CHF disease management programmes.

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Anxiety and depression are common mental health problems in later life. Since worry and rumination are thought to underpin the respective primary cognitive processes in anxiety and depression, we developed a measure to distinguish worry from rumination in later life. The Ruminative Response Scale was adapted to include items that characterise the cognitive features of worry. We examined its properties using 92 clinical and non-clinical participants, aged over 65. Factor analysis demonstrated a three-factor structure: brooding, reflection and worry with internal consistencies of alpha = 0.72, alpha = 0.67 and alpha = 0.55 respectively. We found no evidence for concurrent validity of these factors using the Penn State Worry Questionnaire. Modest but significant associations between reflection and brooding (r = 0.36) and reflection and worry (r = 0.2) were found. Brooding and worry sub-scales remained unrelated. We suggest that it is possible to distinguish worry from rumination in older people and that differentiating between their key underlying characteristics in the assessment of mood problems may enhance the targeting and evaluation of cognitive-behavioural therapy for anxiety and depression in later life. Future research with a substantial clinical sample is needed to explore the underlying dimensions and correlates of worry in later life.

Previous research has established the importance of socially aversive personality traits (i.e., the Dark Triad) in rape cognitions (operationalized here as rape-supportive attitudes, rape victim empathy, and hostile masculinity). However, less is known about how sexist social media content influences attitudes toward rape cognitions depending on the personality of the individual. In an online experiment, after completing the Short Dark Triad-3 questionnaire, participants ( N = 180) were primed with either sexist or neutral tweets, rating them for acceptability, humor, rudeness, and ignorance. Participants then completed scales for rape-supportive attitudes, victim empathy, and hostile masculinity. Sexist tweets were rated as significantly less acceptable and humorous, and more rude and ignorant than neutral tweets. However, those high in the Dark Triad found the sexist tweets as funny and acceptable. Overall, exposure to the sexist tweets did not increase rape cognitions. Moreover, the Dark Triad traits had similar significant, positive correlations with rape-supportive attitudes, victim blame, and hostile masculinity in both sexist and neutral tweet conditions. Multiple regression analyses (controlling for gender) revealed that psychopathy was the strongest positive predictor for increased rape cognitions. Findings suggest that short exposure to sexist social media content may not influence rape cognitions, but that dispositional factors such as psychopathy are more important.

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