Democratic Values and Civic Engagement of Local Voluntary Associations

In this study I investigate whether and to what extent local voluntary associations in Sweden maintain values of democratic governance. The study is based upon a survey of about 400 local voluntary associations within four local communities. The results show that a vast majority of these associations are supportive of member influence and governance through internal democracy. These values can also explain civic engagement of these local voluntary associations. The results indicate that if these values would change radically it would probably have an impact on civic engagement of these organizations, but at present the support remains solid.     

Family Policies and Fertility in Norway

We address the relationship between family policies and fertility in Norway, including three somewhat different policies: parental leave, formal childcare, and the childcare cash benefit. We use administrative register data covering the period 1995–2004. Norwegian family policies are designed both to improve reconciliation of work and family and to improve childcare choices for parents. The analysis shows different patterns of work–family reconciliation and fertility choices among one-child couples and two-child couples. The parental leave policy is the most influential of the three policies on second-birth intensities, especially if parental leave is also taken by the father. The introduction of the childcare cash benefit is most influential on third-birth intensities. This means that policies that promote paternal involvement in childcare and gender equality are positively associated with second births, while policies giving more general family support are positively associated with third births.     

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a state process characterized by a first order autoregressive dynamic model and spatially correlated innovations. This kind of model is well discussed and widely used in the air quality literature thanks to its flexibility in modelling the effect of relevant covariates (i.e. meteorological and geographical variables) as well as time and space dependence. However, Bayesian inference—through Markov chain Monte Carlo (MCMC) techniques—can be a challenge due to convergence problems and heavy computational loads. In particular, the computational issue refers to the infeasibility of linear algebra operations involving the big dense covariance matrices which occur when large spatio-temporal datasets are present. The main goal of this work is to present an effective estimating and spatial prediction strategy for the considered spatio-temporal model. This proposal consists in representing a GF with Matérn covariance function as a Gaussian Markov Random Field (GMRF) through the Stochastic Partial Differential Equations (SPDE) approach. The main advantage of moving from a GF to a GMRF stems from the good computational properties that the latter enjoys. In fact, GMRFs are defined by sparse matrices that allow for computationally effective numerical methods. Moreover, when dealing with Bayesian inference for GMRFs, it is possible to adopt the Integrated Nested Laplace Approximation (INLA) algorithm as an alternative to MCMC methods giving rise to additional computational advantages. The implementation of the SPDE approach through the R-library INLA (www.r-inla.org) is illustrated with reference to the Piemonte PM data. In particular, providing the step-by-step R-code, we show how it is easy to get prediction and probability of exceedance maps in a reasonable computing time.     

A Wavelet-Based Approach of Testing for Granger Causality in the Presence of GARCH Effects

The size and power of the most commonly used tests and a new wavelet-based approach of testing for Granger causality is evaluated by means of a Monte Carlo study in which the error term follows a generalized autoregressive conditional heteroscedasticity consistent (GARCH) process. In the simulation study it is shown that the commonly used causality tests tend to overreject the true null hypothesis in the presence of GARCH errors and that the new wavelet-based approach improves the size properties of the Granger causality test for all of the different situations evaluated.     

Health Self-management Among Older Prisoners: Current Understandings and Directions for Policy,Practice, and Research

The population of aging prisoners has increased significantly over the past several decades, resulting in concerns about the criminal justice system’s ability to address the needs of prisoners and parolees with chronic health conditions. This is troubling, given the health disparities among incarcerated populations. Health self-management has become a strategy within the community-based health care industry to improve health services and outcomes while reducing health care costs for nonincarcerated individuals with chronic conditions. However, to date little research has focused on the practice or promotion of health self-management among current and former incarcerated populations. This article highlights current understandings about chronic health self-management among older prisoners and parolees, with an emphasis on the potential benefits and current challenges in promoting their health self-management practices. Finally, specific recommendations are made for promoting health self-management for these populations through social work practice, policy advocacy, and research to achieve goals in improving health outcomes and reducing healthcare costs.     

Social functioning and mental health among children who have been living in kinship and non‐kinship foster care: results from an 8‐year follow‐up with a Norwegian sample

Studies have shown relatively high rates of emotional and behavioural problems among children living in out‐of‐home care. This study reports the prevalence of social problems at an 8‐year follow‐up for a group of children/young adults. Predictors for prevalence and change in emotional and behavioural problems at the follow‐up are examined. A prospective cohort design with 233 children who had been living in foster care was used. Forty‐eight per cent (n = 111) of those interviewed at baseline were located and interviewed at follow‐up. Mean age was 17.4 (standard deviation = 2.9) years. Mental health symptomatology was measured with Child Behaviour Checklist and Adult Self‐Report. Linear and generalized mixed model analyses were used. Changes in internalizing and externalizing problems from baseline to follow‐up was associated with gender. Boys showed more problems at a young age, whereas girls developed more problems later. Predictors for social problems at follow‐up were mental health at baseline, kinship care and care placement away from the local community.     

Adventure Therapy: Nondeliberative Group Work in Action

ABSTRACT

Nondeliberative group work allows group members to generate their own solutions and provides experiential opportunities to transfer learning to life outside of a therapeutic setting. Adventure therapy is explored as a tool for engaging groups in a nondeliberative manner. The theoretical underpinnings of adventure therapy are presented and contextualized within the larger framework of experiential education. Specific methods and models of adventure work are presented and considered in relationship to nondeliberative social work with groups. Two case examples are presented to illustrate the nondeliberative nature of adventure therapy.     

Tests for multivariate normality based on canonical correlations

We propose new affine invariant tests for multivariate normality, based on independence characterizations of the sample moments of the normal distribution. The test statistics are obtained using canonical correlations between sets of sample moments in a way that resembles the construction of Mardia’s skewness measure and generalizes the Lin–Mudholkar test for univariate normality. The tests are compared to some popular tests based on Mardia’s skewness and kurtosis measures in an extensive simulation power study and are found to offer higher power against many of the alternatives.     

Developing visibility for aging in social work: the first NGSWC

In March 2001, the Council on Social Work Education's (CSWE) Strengthening Aging and Gerontology Education for Social Work (SAGE-SW) project published an action agenda for social work and aging (CSWE/SAGE-SW, 2001). CSWE SAGE-SW, funded by the John A. Hartford Foundation from 1998 to 2004, had several charges in the first phase of funding, including the gathering of data through a thorough review of literature, focus groups, surveys and a variety of activities to garner expert input. This agenda, often referred to as the Blueprint, identified a number of serious issues regarding the lack of attention, preparation, leadership and interest in aging within the social work profession. It also provided some recommended actions to address these issues and help set the stage for the creation of the National Gerontological Social Work Conference. What were the issues at hand and why might a National Gerontological Social Work Conference (NGSWC) address some of these issues?     

Target groups for prevention of neck/shoulder and low back disorders: an exploratory cluster analysis of working and living conditions

Musculoskeletal disorders (MSDs) have a multifactorial etiology. Therefore, a holistic approach to identifying target groups for primary/secondary prevention is essential. In this study, an exploratory person-oriented approach was applied, using cluster analysis of variables related to physical and psychosocial work conditions, and conditions in the private sphere, on a data set of 1,341 Swedish women and men who had not sought care for MSDs the 6 months preceding enrollment in the study. Three groups at risk and five "healthy" groups regarding MSDs were identified. Two of the risk groups had a strained situation regarding psychosocial work conditions or domestic/family conditions, respectively. The majority of individuals in these groups were women. The third risk group had a strained situation regarding both physical and psychosocial work conditions. This group consisted largely of men working in male-dominated jobs. The five healthy groups had low/moderate metabolic demands at work, and all of them having high proportions of subjects with moderate to high education, and fairly even distributions of men and women. In conclusion, the results indicate that gender-specific working and living conditions are associated with an increased risk for MSDs. The identification of these subgroups in the population may facilitate a selective prevention approach.