Mortality inequality in two native population groups

A sample of people aged 40–67 years, taken from a longitudinal register compiled by Statistics Finland, is used to analyse mortality differences between Swedish speakers and Finnish speakers in Finland. Finnish speakers are known to have higher death rates than Swedish speakers. The purpose is to explore whether labour-market experience and partnership status, treated as proxies for measures of variation in health-related characteristics, are related to the mortality differential. Persons who are single, disability pensioners, and those having experienced unemployment are found to have substantially higher death rates than those with a partner and employed persons. Swedish speakers have a more favourable distribution on both variables, which thus notably helps to reduce the Finnish–Swedish mortality gradient. A conclusion from this study is that future analyses on the topic should focus on mechanisms that bring a greater proportion of Finnish speakers into the groups with poor health or supposed unhealthy behaviour.     

Some optimal block designs with nested rows and columns for research on alternative methods of limiting slug damage

Some criteria of optimality of a block design with nested rows and columns are considered. The criteria are based on the eigenvalues of the information matrix C or on the eigenvalues of the matrix C with respect to a diagonal matrix R of treatment replications. New constructions of some optimal block designs with nested rows and columns are presented for application to special plant protection experiments.     

Quantitative Risk Assessment of Human Salmonellosis in Canadian Broiler Chicken Breast from Retail to Consumption

The current quantitative risk assessment model followed the framework proposed by the Codex Alimentarius to provide an estimate of the risk of human salmonellosis due to consumption of chicken breasts which were bought from Canadian retail stores and prepared in Canadian domestic kitchens. The model simulated the level of Salmonella contamination on chicken breasts throughout the retail‐to‐table pathway. The model used Canadian input parameter values, where available, to represent risk of salmonellosis. From retail until consumption, changes in the concentration of Salmonella on each chicken breast were modeled using equations for growth and inactivation. The model predicted an average of 318 cases of salmonellosis per 100,000 consumers per year. Potential reasons for this overestimation were discussed. A sensitivity analysis showed that concentration of Salmonella on chicken breasts at retail and food hygienic practices in private kitchens such as cross‐contamination due to not washing cutting boards (or utensils) and hands after handling raw meat along with inadequate cooking contributed most significantly to the risk of human salmonellosis. The outcome from this model emphasizes that responsibility for protection from Salmonella hazard on chicken breasts is a shared responsibility. Data needed for a comprehensive Canadian Salmonella risk assessment were identified for future research.     

How bad are the effects of bad leaders? A meta-analysis of destructive leadership and its outcomes

While the focus on constructive leadership still dominates leadership research, an increasing number of studies investigate different forms of destructive leadership. This meta-analysis integrates different conceptualizations of destructive leadership and analyzes the relationship between destructive leadership and outcome variables. The search for articles yielded more than 200 studies of which 57 could be included in the meta-analysis. Results indicate the expected negative correlations with positive followers' outcomes and behaviors (e.g., attitudes towards the leader, well-being, and individual performance) and positive correlations with negative outcomes (e.g., turnover intention, resistance towards the leader, counterproductive work behavior). As expected, the highest correlation arises between destructive leadership and attitudes towards the leader. Surprisingly, the next highest correlation was found between destructive leadership and counterproductive work behavior. After discussing the results, an agenda for future research is proposed. Given the negative impact of destructive leadership, more knowledge is especially necessary regarding what triggers destructive leadership.     

Enhancing Self‐Protective Behavior: Efficacy Beliefs and Peer Feedback in Risk Communication

In times of a high‐impact safety incident citizens may have a variety of sources available to help them cope with the situation. This research focuses on the interplay of efficacy information in risk communication messages and peer feedback, such as responses on social network sites (SNSs) in the context of a high‐impact risk on the intention to engage in self‐protective behavior. The study pitted high and low efficacy information messages against supporting and opposing peer feedback (N = 242). Results show a significant interaction effect between efficacy information in a news article and peer feedback from SNS messages on both the intention to engage in self‐protective behavior and levels of involvement. Participants who received the article with more efficacy information and also received supportive peer feedback via SNS messages were more likely to express higher levels of involvement and greater intentions to engage in protective behavior. When confronted with a low efficacious news article, the effect of peer feedback on these two variables was significantly stronger. Finally, implications for theory and government risk communication are discussed.     

Flexible estimation of serial correlation in nonlinear mixed models

In the conventional linear mixed-effects model, four structures can be distinguished: fixed effects, random effects, measurement error and serial correlation. The latter captures the phenomenon that the correlation structure within a subject depends on the time lag between two measurements. While the general linear mixed model is rather flexible, the need has arisen to further increase flexibility. In addition to work done in the area, we propose the use of spline-based modeling of the serial correlation function, so as to allow for additional flexibility. This approach is applied to data from a pre-clinical experiment in dementia which studied the eating and drinking behavior in mice.     

Green Care services in the Nordic countries: an integrative literature review

This article reviews Nordic literature on Green Care for people out of work or school, or with mental health- and/or drug-related problems, published from 1995 to April 2014. Green Care is a well-established international concept that uses animals, plants and nature in an active process to offer health-promoting activities for people. Reports, evaluations and scientific articles are included. The main finding was that the Green Care services described in the literature provided positive activities for our target group. Seven main categories emerged during the analysis: mastery and coping, positive effects on mental health, physical activity, structure and meaningfulness, the feeling of dignity produced by performing a decent ordinary job, social gains, animals and nature experienced as being supportive. Essential intervention factors identified can be described as: (i) contact with animals, (ii) supportive natural environments, (iii) the service leader as a significant important other, (iv) social acceptance and fellowship with other participants and (v) meaningful and individually adapted activities in which mastery can be experienced. These five components interact in a holistic way; the synergetic effects extend the sum of the single factors.     

Rank-Optimal Weighting or “How to be Best in the OECD Better Life Index?”

We present a method of rank-optimal weighting which can be used to explore the best possible position of a subject in a ranking based on a composite indicator by means of a mathematical optimization problem. As an example, we explore the dataset of the OECD Better Life Index and compute for each country a weight vector which brings it as far up in the ranking as possible with the greatest advance of the immediate rivals. The method is able to answer the question “What is the best possible rank a country can achieve with a given set of weighted indicators?” Typically, weights in composite indicators are justified normatively and not empirically. Our approach helps to give bounds on what is achievable by such normative judgments from a purely output-oriented and strongly competitive perspective. The method can serve as a basis for exact bounds in sensitivity analysis focused on ranking positions. In the OECD Better Life Index data we find that 19 out the 36 countries in the OECD Better Life Index 2014 can be brought to the top of the ranking by specific weights. We give a table of weights for each country which brings it to its highest possible position. Many countries achieve their best rank by focusing on their strong dimensions and setting the weights of many others to zero. Although setting dimensions to zero is possible in the OECD’s online tool, this contradicts the idea of better life being multidimensional in essence. We discuss modifications of the optimization problem which could take this into account, e.g. by allowing only a minimal weight of one. Methods to find rank-optimal weights can be useful for various multidimensional datasets like the ones used to rank universities or employers.     

Changing bonuses and the resulting effects of employees’ incentives to an inspection game

The following paper analyses an intraorganizational conflict in materials management between a manager, a controller and the company management. By using a game theoretic approach, this paper especially seeks to answer the question: ‘Do bonuses change employees’ incentives when the focus is directed at the control level of company management?’ This analysis is based upon an application of a three-person inspection game. Within the three-person game a partial influence of a variation of penalties and bonuses is measured analytically. A simultaneous variation of the bonuses for the subordinated players, as the incentive effect to guarantee rational behaviour, is presented here as a simulation. While different intervals of bonus values, which also affect the payoff of the company management, and their influence on the equilibrium probabilities are examined, it becomes apparent that bonuses are able to neutralize each other in their effect on improved decision-making behaviours of the manager (inspectee) and the controller (inspector). But also a diverse variation leads to positive and negative effects on the manager’s behaviour.