Impact of Genetic Relatedness and Emotional Closeness on Intergenerational Relations

Both emotional closeness and genetic relatedness are known to influence helping behavior between family generations, yet few studies have explored them together. The authors investigated the associations between (a) parenthood and perceived emotional closeness toward own parents and parents‐in‐law and (b) emotional closeness and receiving child care from grandparents across and within lineage lines. The data include information on the 8 dyads of possible parent–grandparent relations from a nationally representative survey of young adults in Finland (born 1962–1990, sample N = 1,216). The results show that parenthood was associated with women's emotional closeness to their own mothers and men's emotional closeness to their parents‐in‐law. Maternal grandmothers provided the most grandchild care. After controlling for emotional closeness, the difference in child care provision between one's own mother and one's mother‐in‐law disappeared for women but was accentuated in men. Thus, emotional closeness shapes intergenerational relations differently for kin and in‐laws.     

Gambling-Related Harms Among Adolescents: A Population-Based Study

Internationally, and also in Europe, adolescent gambling is increasingly recognized as an important public health issue. Most research on adolescent gambling, however, is prevalence-focused and population-based studies are scarce. Few studies have examined gambling-related harms among adolescents. In a national sample, we examined self-experienced harms related to gambling and the relationship between reported harms and gambling behavior among Finnish adolescents. A national survey of 12–18-year-olds was conducted in Finland in 2011 (N = 4,566). Main measures were frequency of gambling and gambling-related harms reported during the past 6 months. The relationship between reported harms and gambling behavior was assessed using logistic regression analysis. Overall, 44% had gambled during the past 6 months. Of the sample, 12% were frequent gamblers (at least weekly) and 32% were occasional gamblers (monthly or less often). Compared to occasional gamblers, frequent gamblers were more likely to experience harms. The most commonly reported harms among frequent gamblers were “felt guilty or shameful due to gambling” (17%) followed by “problems with relationships” (13%) and “disruptions of daily rhythm” (10%). In age and gender-adjusted analysis, daily gamblers were significantly more likely to report all different types of harms when compared to other groups. These findings suggest that when planning and targeting youth gambling prevention and harm reduction strategies the nature and extent to which gambling may contribute to the different types of harms are important to consider.     

Type a behaviour and back pain

Abstract

Type A behaviour and back pain     

Work factors related to stress and recurrent low back pain among Finnish planners and workers

Factors related both to the experience of prolonged stress and to recurrent low back pain were analysed by means of questionnaire responses of planners (n = 146) and workers (n = 315) in the Finnish metal industry. Job factors and overall satisfaction turned out to be related independently to stress in both groups. The strongest relation was found between stress and organizational job characteristics. Among the workers physical exhaustion and defects in ergonomy were also related to the experience of stress. Factors related to low back pain were mainly physical in origin, although organizational factors also made some contribution to such pain.     

Order Management in the Customization‐Responsiveness Squeeze*

Make‐to‐order (MTO) products may be either customized or standard, and customization can occur either at the configuration or component level. Consequently, MTO production processes can be divided into three customization gestalts: non‐customizers, custom assemblers, and custom producers. In this article, we examine how the multilevel nature of customization affects order management in processes that produce complex MTO products. We first empirically validate the existence of the three customization gestalts and subsequently, analyze the order management challenges and solutions in each gestalt in a sample of 163 MTO production processes embedded in seven different supply chains. In the analyses, we follow a mixed‐methods approach, combining a quantitative survey with qualitative interview data. The results show that important contingencies make different order management practices effective in different gestalts. Further qualitative inquiry reveals that some seemingly old‐fashioned practices, such as available‐to‐promise verifications, are effective but commonly neglected in many organizations. The results also challenge some of the conventional wisdom about custom assembly (and indirectly, mass customization). For example, the systematic configuration management methods—conventionally associated with project business environments—appear to be equally important in custom assembly.     

A Modular Bayesian Salmonella Source Attribution Model for Sparse Data

Several statistical models for salmonella source attribution have been presented in the literature. However, these models have often been found to be sensitive to the model parameterization, as well as the specifics of the data set used. The Bayesian salmonella source attribution model presented here was developed to be generally applicable with small and sparse annual data sets obtained over several years. The full Bayesian model was modularized into three parts (an exposure model, a subtype distribution model, and an epidemiological model) in order to separately estimate unknown parameters in each module. The proposed model takes advantage of the consumption and overall salmonella prevalence of the studied sources, as well as bacteria typing results from adjacent years. The latter were used for a smoothed estimation of the annual relative proportions of different salmonella subtypes in each of the sources. The source‐specific effects and the salmonella subtype‐specific effects were included in the epidemiological model to describe the differences between sources and between subtypes in their ability to infect humans. The estimation of these parameters was based on data from multiple years. Finally, the model combines the total evidence from different modules to proportion human salmonellosis cases according to their sources. The model was applied to allocate reported human salmonellosis cases from the years 2008 to 2015 to eight food sources.