Perfectionism Dimensions and Dependency in Relation to Personality Vulnerability and Psychosocial Adjustment in Patients with Coronary Artery Disease

The present study sought to illuminate self-criticism and personal standards dimensions of perfectionism and dependency as specific cognitive-personality vulnerability factors that might contribute to a better understanding of numerous psychosocial problem areas that are relevant to coronary artery disease (CAD). One hundred and twenty-three patients diagnosed with clinically significant CAD completed self-report questionnaires. Zero-order correlations and factor analysis results revealed that self-criticism was primarily related to personality vulnerability (aggression/anger/hostility, Type D negative affectivity) and psychosocial maladjustment (depressive symptoms, worry, avoidant coping, support dissatisfaction), whereas personal standards was primarily related to adaptive coping (problem-focused coping, positive reinterpretation) and dependency was primarily related to worry. Hierarchical regression results demonstrated the incremental utility of self-criticism, personal standards, and dependency in relation to (mal)adjustment over and above aggression/anger/hostility, negative affectivity, and social inhibition. Continued efforts to understand the role of perfectionism dimensions and dependency in CAD appear warranted.     

Suicide Intervention Skills and Related Factors in Community and Health Professionals

Health and community professionals have considerable exposure to suicidal people and need to be well skilled to deal with them. We assessed suicide intervention skills with a Dutch version of the SIRI in 980 health and community professionals and psychology students. Suicide intervention skills clearly differed among professional groups and were strongly related to experience, especially suicide‐specific experience. Some community professionals scored below acceptable levels on their ability to respond appropriately to suicidal people they encounter, and tended to overestimate their skills level. Training is therefore indicated for these groups, and may be useful to more highly experienced groups too.     

Measuring clustering differences among categories in the same list

A method is presented for analysis of clustering differences among categories in the same list. This allows category characteristics to be varied within Ss by using mixed lists, whereas previously only homogeneous lists could be employed.