Factors associated with exercise participation in adults with arthritis

Most people with arthritis are not regularly active. Understanding what factors influence exercise is essential for designing programs to increase participation. The objective of this study was to examine the correlates of exercise in people with arthritis. Using a cross-sectional design, sociodemographic, health-related, and psychosocial variables were collected from community-dwelling individuals with arthritis (N = 141). Associations with exercise level were examined with bivariate statistics (ANOVAs, chi-squares) and logistic-regression analyses. Exercisers were less likely than nonexercisers and insufficiently active people to report that arthritis negatively affected their physical and social functioning, and they reported more positive affect and greater self-efficacy (p < .05). Exercisers also reported less pain than nonexercisers (p < .05). In multiple logistic-regression analyses, self-efficacy and physical limitations remained independent predictors of exercise. The results suggest the need to target exercise self-efficacy when designing exercise interventions. Results also suggest the need to tailor exercise programs to individuals' physical limitations.     

An alternative approach for analysis of performance of one-sided cusum charts with variable sampling intervals

An alternative approach for analyzing performance of one-sided Cusum charts with variable sampling intervals (VSI) is proposed. In this approach, a Markov chain with some dummy states is used. By this approach some dynamic performance measures of the VSI Cusum charts, such as the distribution of time to signal and the average time to signal against a change-point, can be determined. Some numerical results are shown, and from these results the dynamic performance of VSI Cusum charts is discussed.     

A mixture-based approach to robust analysis of generalised linear models

A method for robustness in linear models is to assume that there is a mixture of standard and outlier observations with a different error variance for each class. For generalised linear models (GLMs) the mixture model approach is more difficult as the error variance for many distributions has a fixed relationship to the mean. This model is extended to GLMs by changing the classes to one where the standard class is a standard GLM and the outlier class which is an overdispersed GLM achieved by including a random effect term in the linear predictor. The advantages of this method are it can be extended to any model with a linear predictor, and outlier observations can be easily identified. Using simulation the model is compared to an M-estimator, and found to have improved bias and coverage. The method is demonstrated on three examples.     

Local deprivation and the labour market integration of new migrants to England

ABSTRACT

Using data on new migrants to England from the Quarterly Labour Force Survey, we show how a key component of migrant integration - labour market progress in terms of wages and unemployment rates – is broadly positive in the early years after arrival across a range of migrant groups and across gender. However, the precise level of labour market success achieved varies considerably across groups reflecting both the initial entry-level and labour market trajectories after migration. Migrants from Western Europe and the Old Commonwealth countries have unemployment rates (wages) which are generally lower (higher) than other groups, particularly non-white groups, while migrants from the Accession countries experience relatively low unemployment but also low wages. Groups which have better outcomes on entry also tend to experience higher rates of progress over time in England. However, the extent of multiple deprivation in the local authority where migrants reside interacts with years since migration to dampen wage trajectories for some groups and accounting for deprivation highlights the importance of internal migration for access to employment. The results emphasise structural explanations for patterns of labour market integration of new migrants to England.