Sociotropy and autonomy: differential patterns of clinical presentation in unipolar depression

We examined the relations between sociotropy and autonomy and clinical features of depression. Beck (1983) proposed that sociotropy is related to a sense of deprivation and clinical features associated with reactive depression and that autonomy is related to a sense of defeat and clinical features associated with endogenous depression. Robins, Block, & Peselow (1989) found support for the hypothesis for sociotropy but not for autonomy, and they suggested that the autonomy scale may be problematic. We administered new measures of sociotropy and autonomy and a more comprehensive assessment of clinical features to 50 unipolar depressed inpatients. The results support the selective relations of both sociotropy and autonomy to the predicted sets of clinical features. This study adds to the growing evidence that these personality dimensions are important to the understanding of depression.     

The structure of the Hospital Anxiety and Depression Scale: Theoretical and methodological considerations

The Hospital Anxiety and Depression Scale (HADS; Zigmond - Snaith, 1983) is widely used; however, its factor structure is unclear, with studies reporting differing unidimensional, two-factor and three-factor models. We aimed to address some key theoretical and methodological issues contributing to inconsistencies in HADS structures across samples. We reviewed existing HADS models and compared their fit using confirmatory factor analysis (CFA). We also investigated methodological effects by comparing factor structures derived from Rasch and Principal Components Analysis (PCA) methods, as well as effects of a negative wording factor. An Australian community-dwelling sample consisting of 189 females and 158 males aged 17–86 (M = 35.73, SD = 17.41) completed the 14-item HADS. The Rasch Analysis, PCA and CFA all supported the original two-factor structure. Although some three-factor models had good fit, they had unacceptable reliability. In the CFA, a hierarchical bifactor model with a general distress factor and uncorrelated depression and anxiety subscales produced the best fit, but the general factor was not unidimensional. The addition of a negative wording factor improved model fit. These findings highlight the effects of differing methodologies in producing inconsistent HADS factor structures across studies. Further replication of model fit across samples and refinement of the HADS items is warranted.     

Relational discrepancies and emotion: The moderating roles of relationship type and relational discrepancy valence

Relational discrepancy theory proposes that discrepancies in the extents to which relational partners meet relational standards are associated with emotions and that perceiving relationships in specified ways moderates associations. In a range of relationships, ideal relational discrepancies were associated with dejection and ought relational discrepancies with agitation (Study 1), associations moderated by relationship type. Discrepancy valence also moderated ideal discrepancy associations. Similar associations were found in friendships, moderated by relationship type (Study 2). Finally, relationship type and valence moderated associations in relationships with supervisors but not with colleagues (Study 3). These results support relational discrepancy theory propositions.     

The Self‐Conscious Emotions: How are they Experienced,Expressed, and Assessed?

The self‐conscious emotions (e.g., embarrassment, guilt, pride, shame) are a special class of emotions that critically involve the self, including the capacity to form stable self‐representations and to evaluate oneself relative to internal and external standards. In this article, we summarize five areas of recent research on self‐conscious emotions: (a) the cognitive elicitors, or causal appraisals, that generate them; (b) their non‐verbal expressions; (c) the underlying neural processes; (d) the degree to which their experience and expression varies across cultures; and (e) the measures that have been developed to assess them. In each section, we provide recommendations for future research directions.     

Virtual augmented exercise gaming for older adults.

This paper details the design, development, and testing of virtual augmented exercise (VAE) gaming for older adults. Three versions of an underwater VAE environment were tested with a sample of 22 healthy adults aged 50 or over. Participants strongly preferred VAE to traditional physical exercise, and adherence rate was 100%. The findings suggest that VAE with puzzles changes or negates the expected negative associations among exercise outcomes. Fitness level was not associated with performance in the game, irrespective of VAE type, indicating that persons who are less physically fit can expect to perform similarly to those who are more physically fit. In conclusion, the research found some evidence for the benefits of VAE with cognitive exercise (solving simple puzzles and hitting targets based on the answer). This type of exercise appears to be a promising method of exercise for older adults.