Correlates of sport participation among community-dwelling elderly people in Germany: a cross-sectional study

The aims of this study were (1) to analyze the sport participation in a cohort of community-dwelling elderly people in Germany and (2) to evaluate associations between sport participation, sociodemographic factors, cardiovascular risk factors, and health status. In a monitored prospective cohort study (getABI), 6,880 unselected patients ≥65 years have been followed up by 344 general practitioners beginning in 2001. As part of the 5-year follow-up telephone interview, a sample of 1,376 participants was interviewed on sport participation. The association between participation in at least one sporting activity (“sporty” yes/no) during the past week (cycling) or month (other sports) and the following parameters was analyzed by logistic regression: age, sex, immigration background, education, waist circumference, smoking, self-reported health, history of vascular events, diabetes mellitus, lipometabolic disorder, and arterial hypertension. Analysis of activities (n = 1,304; median age 76 (70–94) years; 55.1% women) showed that 27.6% of participants rode a bicycle during the previous week. During the previous month, 24.9% of participants did gymnastics or strength training, and 16.5% swam. Of all participants, 53.8% were sporty. Multivariate analysis revealed several independent factors to be associated with being sporty (p < 0.05): younger age, male sex, higher education, nonsmoking, better self-reported health, and not being diagnosed with diabetes. Immigration background, waist circumference, history of vascular events, lipometabolic disorder, and hypertension did not show a statistically significant association (p ≥ 0.05) with sport participation. Summing up, the most frequently performed sporting activities were cycling, gymnastics or strength training, and swimming. Sport participation was associated with, for example, age and sex.     

When Social Partners Unite – Explaining Continuity and Change in Austrian and Dutch Labour Market Governance

Why do Austria and the Netherlands, two highly corporatist, coordinated, consensual countries diverge with respect to the involvement of social partners in their Public Employment Service? By comparing and contrasting the competing predictions of the power‐resource, employer‐centred and social partnership approaches, we identify a key omitted variable that can explain the observed variations: the ability of the social partners to unite on reform positions. We demonstrate that when the social partners are divided, their collective power is reduced and partisan‐based policy outcomes become more pronounced. In turn, when the social partners jointly favour a particular outcome, their collective power increases and they can override governmental reform plans, even if the government holds a large legislative majority. These findings highlight the causal importance of power relations between and within the social partners for institutional continuity and change.     

Sparse Markov Chains for Sequence Data

Finite memory sources and variable‐length Markov chains have recently gained popularity in data compression and mining, in particular, for applications in bioinformatics and language modelling. Here, we consider denser data compression and prediction with a family of sparse Bayesian predictive models for Markov chains in finite state spaces. Our approach lumps transition probabilities into classes composed of invariant probabilities, such that the resulting models need not have a hierarchical structure as in context tree‐based approaches. This can lead to a substantially higher rate of data compression, and such non‐hierarchical sparse models can be motivated for instance by data dependence structures existing in the bioinformatics context. We describe a Bayesian inference algorithm for learning sparse Markov models through clustering of transition probabilities. Experiments with DNA sequence and protein data show that our approach is competitive in both prediction and classification when compared with several alternative methods on the basis of variable memory length.     

Scheduling algorithms for computer-aided line balancing in printed circuit board assembly

Generalized flexible flow line (GFFL) is a scheduling environment comprising several machine banks which the products visit in the same order but can skip some machine banks. The type of machines in a bank can differ but they are suitable for performing the same manufacturing tasks. To change one product to another demands a set-up operation of the machine. This paper describes several scheduling algorithms for the GFFL problem. The overall structure of these algorithms is similar, consisting of machine allocation and sequencing phases. The algorithms have been integrated into an interactive production scheduling system for electronics assembly. Sample cases are used to illustrate the operation of the system in practice.     

Job demands and job control as correlates of early retirement thoughts in Finnish social and health care employees

Given the ageing workforce, there is an increasing interest in understanding the retirement process. This study examined whether early retirement thoughts can be explained by job demands, job control and their interaction, a hypothesis derived from the job demand-control model of Karasek (). The moderated hierarchical regression analyses of early retirement thoughts were based on a sample of 274 male and 2798 female employees aged 20 to 65 years in Finnish social and health care. Our results suggest that job demands and job control are independent predictors of early retirement thoughts even when adjusted for age, gender, educational level and self-rated health. Furthermore, our results offered support for the interaction effect of job demands and job control on early retirement thoughts. Among people over 45 years old, these associations were even stronger, compared to the whole sample. This indicates that one way to reduce the number of people taking early retirement would be to put the emphasis on psychosocial factors, such as job control, affecting the older workers.     

Measuring Human Recognition for Women in Malawi using the Alkire Foster Method of Multidimensional Poverty Counting

Social Indicators Research - Policy indicators rarely account for the contribution of societal inter- and intra-personal interactions to economic development. We propose an index of...     

Disconnected Lives: Trends in Time Spent Alone in Finland

Discussions about social isolation have been extensive over the past few decades. A less sociable nature of social ties has been identified in Western societies. The phenomenon has been associated with demographic changes such as aging and living alone as well as changes in the use of new technologies. In this study we employ representative Finnish Time Use Surveys from three decades, 1987–1988 (n?=?1887), 1999–2000 (n?=?2673) and 2009–2010 (n?=?1887) to examine the trends in social isolation, measured as time spent alone. Our results showed that between 1987 and 2010 the time spent alone increased by 124 min per day. The increase was linear and occurred in nearly all population groups. Structural factors, such as aging and an increase in the number of single households, are strongly associated with increased time spent alone. Time spent alone has increased, especially during leisure activities. Specifically, time spent watching television and using computers is associated with the decreasing tendency for face-to-face interaction.

     

‘It's an ordinary matter’: perceptions of cyberbullying in Thai youth culture

This qualitative study focuses on youth perceptions of cyberbullying (definition, causes, consequences, and management). We also articulate how perceptions of cyberbullying among Thai youth are influenced by Thai culture, including Thai youth culture. Data were collected from 15 to 24 year-olds in Central Thailand through 22 focus group discussions (FGDs) with 4–6 participants each, as well as 26 in-depth interviews (IDIs), totaling 136 participants. These youth defined cyberbullying as harming others through mobile phones and the Internet. To count as cyberbullying, actions had to cause real harm or annoyance and be committed with malicious intent. The relationship between the parties involved also mattered: close friends were unlikely to be considered cyberbullies. Participants thought that the anonymity of cyberspace is a key cause of cyberbullying but also that cyberbullying often results from previous offline incidents of violence. In their view, cyberbullying impacts individuals and their social interactions. Participants tended to manage the problem by themselves and not consult their parents. Alarmingly, participants viewed cyberbullying as ‘an ordinary matter’. To raise awareness that cyberbullying is a societal problem with serious consequences, state agencies and educational institutions need to play active roles in preventing it and responding to it constructively when it occurs.