The Effort-Reward Imbalance model of psychosocial stress at the workplace—a comparison of ERI exposure assessment using two estimation methods

It is not unusual for old data to be used in epidemiological studies. Recently developed instruments for measuring work-related stress did not exist when the data collection was carried out. Therefore, approximate questions are sometimes used. An apparent problem is the lack of validation of proxy questions. The aim of this study was to compare the original questions for measuring Effort-Reward Imbalance (ERI) with approximate questions. The study population corresponded with a subgroup in the WOLF-n (WOrk, Lipids, Fibrinogen-north) cohort study of cardiovascular risk in a working population in the north of Sweden: 655 men and 178 women. The agreement in exposure between the original and the approximate ERI single questions was relatively low throughout, whereas the correlation between the ERI subscales and the ERI ratios was reasonable. The latter agreement between the original and the approximate ERI ratio indicates that the approximate measures might have been useful in the past. Yet, whenever possible the implementation of the original questionnaire in study protocols is recommended since a complete measurement of ERI might help to further improve the internal consistency and the predictive validity of this exposure to effort-reward imbalance.     

Job characteristics as predictors of ill-health and sickness absenteeism in different occupational types--a multigroup structural equation modelling approach

The objective of the present study was to test for multigroup invariance in measurement models and structural models between job characteristics, psychosocial intervening variables, health outcomes and sickness absenteeism. Four types of occupation were represented in the study: blue-collar workers ( n = 241), white-collar workers ( n = 209), elderly-care workers ( n = 338) and child-care workers ( n = 336). A first-order, six-factor multigroup confirmatory factor analysis model (i.e. measurement model) composed of two perceived job characteristics ( job autonomy and skill discretion), appraised workload, job satisfaction, stress-related ill-health and sickness absenteeism provided a good model fit. Invariance tests showed that the six-factor model fits well for all occupations. A partially recursive mediated multigroup structural model showed both similarities and differences across occupations as regards the relationships between independent latent variables ( job autonomy, skill discretion), intervening latent variables (appraised workload, job satisfaction) and dependent latent variables (stressrelated ill-health, sickness absenteeism). By comparing a generic model with occupation-specific models across occupations, this study showed that occupation-specific models were more plausible. The results indicate that it is important to examine different occupational contexts in detail to better understand how certain psychosocial factors at work influence strain in different occupations. Since job characteristics can potentially be amended, the findings have important implications for the differentiation of prevention and intervention in different occupations.     

Anthropic Shadow: Observation Selection Effects and Human Extinction Risks

We describe a significant practical consequence of taking anthropic biases into account in deriving predictions for rare stochastic catastrophic events. The risks associated with catastrophes such as asteroidal/cometary impacts, supervolcanic episodes, and explosions of supernovae/gamma‐ray bursts are based on their observed frequencies. As a result, the frequencies of catastrophes that destroy or are otherwise incompatible with the existence of observers are systematically underestimated. We describe the consequences of this anthropic bias for estimation of catastrophic risks, and suggest some directions for future work.     

Evaluation of an STD-Prevention Program for Swedish University Students

Abstract

The authors evaluated a sexually transmitted disease (STD)-prevention program that combined a mass media campaign with peer education. The program was designed to increase Swedish university students' knowledge about STDs. improve attitudes toward condom use, and tell students where to get an STD checkup. Preintervention and postintervention postal questionnaires were used with an intervention group and two types of control groups. Responses ranged from 32% to 67% for the randomly selected students and from 93% to 99% for classroom and clinic participants. The intervention was noticed by a majority of the students (85–98%) and discussed by 43% to 57%; more women than men observed and discussed the campaign. Knowledge about STDs. where to turn for STD checkups, and the intention of having an STD checkup increased. Attitudes toward condom use were equally positive before and after the intervention. Although it was successful in attracting attention and leading to discussions of STD prevention, the campaign did not encourage students to have an STD checkup.     

Becoming a Narrator: A Case Study in the Dynamics of Learning Based on the Theories/Methods of Vygotsky

This article focuses on the learning that is enabled while a primary school child makes a story using multimodal software. This child is diagnosed with autism. The aim is to use a cultural-historical framework to carry out an in-depth analysis of a process of learning with action as a unit of analysis. The article is based on a collaborative research project in which assignments on narration concurrently served as experiments with cultural tools. The child's learning process in one assignment is analyzed sequentially, highlighting changes in the action, based on data from videotape. The child's decision to record audio was a turning point that expanded the formal learning and animated the idea of making the story in a desired multimodal format. The multifaceted quality and the dialectics revealed in the process are vital to achieve expansive action and learning. The combination of a generative narrative model and the multimodal affordances is crucial for actualizing the potential in the research approach to accomplish an analysis of the learner's changes in action. Thus, the study indicates the relevance of using a cultural-historical framework in research and practice that focuses on processes of learning and processes of becoming among diverse learners.     

BOGDAN MUSIAL AND THE QUESTION OF JEWISH RESPONSIBILITY FOR THE POGROMS IN LVIV IN THE SUMMER OF 1941

This paper demonstrates that the rescue operations that saved thousands of Jewish lives during the Holocaust were in part the result of coordination and cooperation between the Hebrew Immigrant Aid Society (HIAS) and the American Joint Distribution Committee (JDC), via a network of local relief organisations in Europe and worldwide. A landmark decision in building this network was the creation in 1927 of a new agency – HICEM, an abbreviation of the names of three resettlement organisations: HIAS, an American organisation with its headquarters in New York; the Paris‐based Jewish Colonisation Association, and Emigdirect, based in Berlin. During the Nazi period, as Jews were gradually pushed out of German social and economic life, HICEM was able to connect dozens of local Jewish committees throughout the world and bring thousands of Jewish refugees to safe havens in the United States, South and Central America, the Far East and Australia. The study also shows that, despite tension between HIAS and the JDC, both organisations stood firm in their mission of rescuing Jewish refugees.     

A Distribution for Multivariate Frailty Based on the Compound Poisson Distribution with Random Scale

Frailty models are often used to model heterogeneity in survival analysis. The most common frailty model has an individual intensity which is a product of a random factor and a basic intensity common to all individuals. This paper uses the compound Poisson distribution as the random factor. It allows some individuals to be non-susceptible, which can be useful in many settings. In some diseases, one may suppose that a number of families have an increased susceptibility due to genetic circumstances. Then, it is logical to use a frailty model where the individuals within each family have some shared factor, while individuals between families have different factors. This can be attained by randomizing the Poisson parameter in the compound Poisson distribution. To our knowledge, this is a new distribution. The power variance function distributions are used for the Poisson parameter. The subsequent appearing distributions are studied in some detail, both regarding appearance and various statistical properties. An application to infant mortality data from the Medical Birth Registry of Norway is included, where the model is compared to more traditional shared frailty models.