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.     

Union commitment and participation: a 10-year longitudinal study

The authors longitudinally investigated the causal nature of the relationship between union commitment and participation in informal union activities. A total of 134 members of the National Association of Letter Carriers were studied over a 10-year period. Using cross-lagged regression analysis, early union commitment was found to predict the level of informal union participation 10 years later. The reverse and reciprocal relationships were not supported. These findings support and extend earlier research on the causal nature of the short-term relationship between union commitment and participation. The implications of the findings for researchers and labor unions are discussed.     

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.