Physical, social and emotional function after work accidents: a medicolegal perspective

The aim of this study was to analyse social and functional consequences of work accidents in a group of workers' compensation claimants who had been referred from the National Insurance Administration for a medicolegal assessment. The injured workers were evaluated on average 3 years after their accidents. Their medical records were analysed, and each injury was scored according to the Abbreviated Injury Scale (AIS). Participants completed the Short Form Questionnaire (SF-36). Factors relating to outcome on SF-36 were analysed using univariate and multivariate methods. 191 claimants returned the SF-36 (62%), 83% of the respondents had an AIS score of less than two, 33% reported working full time. Compared to population-based norms, the respondents reported significantly reduced health on all eight scales of SF-36. Better health and function was mainly associated with a higher level of education and more serious injuries. The extent of social support in the workplace after the accident was only partly related to outcome. The importance of psychosocial factors when making injury assessments in a medicolegal setting is highlighted.     

The strength of sensitivity to ambiguity

We report an experiment where each subject’s ambiguity sensitivity is measured by an ambiguity premium, a concept analogous to and comparable with a risk premium. In our design, some tasks feature known objective risks and others uncertainty about which subjects have imperfect, heterogeneous, information (“ambiguous tasks”). We show how the smooth ambiguity model can be used to calculate ambiguity premia. A distinctive feature of our approach is estimation of each subject’s subjective beliefs about the uncertainty in ambiguous tasks. We find considerable heterogeneity among subjects in beliefs and ambiguity premia; and that, on average, ambiguity sensitivity is about as strong as risk sensitivity.     

A factor model approach for the joint segmentation with between‐series correlation

We consider the detection of changes in the mean of a set of time series. The breakpoints are allowed to be series specific, and the series are assumed to be correlated. The correlation between the series is supposed to be constant along time but is allowed to take an arbitrary form. We show that such a dependence structure can be encoded in a factor model. Thanks to this representation, the inference of the breakpoints can be achieved via dynamic programming, which remains one the most efficient algorithms. We propose a model selection procedure to determine both the number of breakpoints and the number of factors. This proposed method is implemented in the FASeg R package, which is available on the CRAN. We demonstrate the performances of our procedure through simulation experiments and present an application to geodesic data.     

Exact or approximate inference in graphical models: why the choice is dictated by the treewidth,and how variable elimination can be exploited

Probabilistic graphical models offer a powerful framework to account for the dependence structure between variables, which is represented as a graph. However, the dependence between variables may render inference tasks intractable. In this paper, we review techniques exploiting the graph structure for exact inference, borrowed from optimisation and computer science. They are built on the principle of variable elimination whose complexity is dictated in an intricate way by the order in which variables are eliminated. The so‐called treewidth of the graph characterises this algorithmic complexity: low‐treewidth graphs can be processed efficiently. The first point that we illustrate is therefore the idea that for inference in graphical models, the number of variables is not the limiting factor, and it is worth checking the width of several tree decompositions of the graph before resorting to the approximate method. We show how algorithms providing an upper bound of the treewidth can be exploited to derive a ‘good' elimination order enabling to realise exact inference. The second point is that when the treewidth is too large, algorithms for approximate inference linked to the principle of variable elimination, such as loopy belief propagation and variational approaches, can lead to accurate results while being much less time consuming than Monte‐Carlo approaches. We illustrate the techniques reviewed in this article on benchmarks of inference problems in genetic linkage analysis and computer vision, as well as on hidden variables restoration in coupled Hidden Markov Models.     

Servant Leadership: A systematic review and call for future research

Notwithstanding the proliferation of servant leadership studies with over 100 articles published in the last four years alone, a lack of coherence and clarity around the construct has impeded its theory development. We provide an integrative and comprehensive review of the 285 articles on servant leadership spanning 20?years (1998–2018), and in so doing extend the field in four different ways. First, we provide a conceptual clarity of servant leadership vis-à-vis other value-based leadership approaches and offer a new definition of servant leadership. Second, we evaluate 16 existing measures of servant leadership in light of their respective rigor of scale construction and validation. Third, we map the theoretical and nomological network of servant leadership in relation to its antecedents, outcomes, moderators, mediators. We finally conclude by presenting a detailed future research agenda to bring the field forward encompassing both theoretical and empirical advancement. All in all, our review paints a holistic picture of where the literature has been and where it should go into the future.     

Physical and mental health inequalities between native and immigrant Swedes

To study health inequalities between native and immigrant Swedes, we investigated differences in self‐rated health (SRH), mental wellbeing (MW), common symptoms (CS), and persistent illness (PI), and if socioeconomic status (SES), negative status inconsistency, or social support could account for such differences. A secondary analysis was conducted on questionnaire data from a random adult population sample of 4,023 individuals and register data from Statistics Sweden. χ² tests and binary logistic regressions were used to identify health differences and study these after accounting for explanatory variables. Compared with natives, immigrants more commonly reported negative status inconsistency, poorer SES, and poorer social support as well as poor SRH, very poor MW, and high level of CS but not PI. Significant differences were accounted for by work‐related factors and social support. We encourage future research to address how pre‐ and peri‐migration factors relate to immigrants’ post‐migration SES, social support, and health status.

Policy Implications

• Given the relationship between work‐related factors (employment status, hours worked per week, and income) and all health outcomes in this study, labour market interventions that facilitate the integration of immigrants into the labour market, and into occupations that better correspond with their capacity, will arguably have public health benefits.
• Feelings of loneliness was, in our study, important in accounting for immigrants’ poorer self‐rated health compared with natives’. Therefore, we endorse interventions that facilitate immigrants’ social networking and integration and thereby reduce feelings of loneliness.
• Common physical and mental symptoms may be important indicators of health and we, thus, suggest these to be taken into account when developing ill‐health prevention programmes.

     

“Hedge Your Bets”: Technology’s Role in Young Gay Men’s Relationship Challenges

Technology is playing an increasingly pervasive role among young gay men in the process of meeting potential romantic or sexual partners. We investigated challenges posed by technology related to young gay men’s relationships. Focus groups (n = 9) of young gay men aged 18–24 (n = 43) were transcribed verbatim, and thematic analysis was used to identify two major themes regarding challenges to relationship development and maintenance. Subthemes include unrealistic expectations of relationships, inauthentic self-presentation online, sexual primacy over romance, increased opportunities for infidelity, and jealousy. The implications of this study for sexual education and sexual health promotion are discussed.     

Patterns of Sexual Experience Among Urban Latino and African American Ninth Grade Students

This analysis assessed patterns of sexual experience, the order in which behaviors were initiated, and associated factors, among Latino and African American ninth grade students (average age 15.2) who self-administered audio-computer-assisted surveys on netbooks in classes at 10 Los Angeles–area public high schools. Lifetime experiences with vaginal and oral sex were most common (19% and 16%, respectively); fewer reported anal sex (6%). Of the 23% reporting any sex, 91% fell into four categories: 36% reporting both oral and vaginal sex; 23% vaginal only; 18% all three; and 13% oral only. Most sexually experienced students (88%) initiated with vaginal or oral sex (46% vaginal, 33% oral, 9% both same day). No dominant pathway of sexual onset emerged for those reporting all three types of sex. We found no evidence that oral or anal sex substituted for or delayed vaginal sex. Males, those with a current partner, and those reporting multiple partners were more likely than others to report all three sexual behaviors versus vaginal only (odds ratios [ORs] 2.0, 1.5, 3.0; p = .02, .06, < .01, respectively). Although vaginal intercourse dominated their early sexual behavior, one-fifth of sexually experienced students reported anal intercourse, highlighting the need for specific prevention messages surrounding this higher-risk behavior.     

Diversification and Work Satisfaction: Testing a Claim by Marx and Engels for Farmers

In conventional economics, a great deal of energy has been devoted to empirical validation of the benefits of specialization in terms of efficiency, in fields including the agricultural sector. Marx and Engels's claim that the diversification of working lives would increase work satisfaction has gained attention among social scientists but has never been verified for the agricultural sector, despite a growing body of literature on the determinants of work satisfaction. Based on a survey of Swiss and northeast German farmers, this study shows that farm diversification significantly increases work satisfaction. This applies both to the lines of agricultural production pursued on a farm and to the farm's nonagricultural activities.