Disentangling the exposure experience: the roles of community context and report-back of environmental exposure data

This article examines participants' responses to receiving their results in a study of household exposure to endocrine disrupting compounds and other pollutants. The authors study how the "exposure experience"-the embodied, personal experience and understanding of chronic exposure to environmental pollutants-is shaped by community context and the report-back process itself. In addition, the authors investigate an activist, collective form of exposure experience. The authors analyze themes of expectations and learning, trust, and action. The findings reveal that while participants interpret scientific results to affirm lay knowledge of urban industrial toxics, they also absorb new information regarding other pollutant sources. By linking the public understanding of science literature to the illness and exposure experience concepts, this study unravels the complex relationship between lay experience and lay understanding of science. It also shows that to support policy development and/or social change, community-based participatory research efforts must attend to participants' understanding of science.     

Estimating detailed distributions from grouped sociodemographic data: ‘get me started in’ curve fitting using nonlinear models

In much demographic analysis, it is important to know how occurrence-exposure rates or transition probabilities vary continuously by age or by time. Often we have coarse or fluctuating data so there can be a need for estimation and smoothing. Since the distributions of rates or counts across age or another variable are often curved, a nonlinear model is likely to be appropriate. The main focus of this paper is on the estimation of detailed information from grouped data such as age and income bands; however, the methods we outline could also be applied to other settings such as smoothing rates where the original data are ragged. The ability to carry out curve fitting is a very useful skill for population geographers and demographers. Curve fitting is not well covered in statistics textbooks, and whilst there is a large literature in journals thoroughly discussing the detail of functions which define curves, these texts are likely to be inaccessible to researchers who are not specialists in mathematics. We aim here to make nonlinear modelling as accessible as possible. We demonstrate how to carry out nonlinear regression using SPSS, giving stepped-through hypothetical and research examples. We note other software in which nonlinear regression can be carried out, and outline alternative methods of curve fitting.     

Son Preference and the Persistence of Culture: Evidence from South and East Asian Immigrants to Canada

Preference for sons over daughters, evident in China's and South Asia's male sex ratios, is commonly rationalized by poverty and the need for old‐age support. In this article we study South and East Asian immigrants to Canada, a group for whom the economic imperative to select sons is largely absent. Analyzing the 2001 and 2006 censuses, 20 percent samples, we find clear evidence of extensive sex selection in favor of boys at higher parities among South and East Asian immigrants unless they are Christian or Muslim. The latter finding accords with the explicit prohibition against (female) infanticide—traditionally the main sex‐selection method—in these religions. Our findings point to a strong cultural component to both the preference for sons and the willingness to resort to induced abortion based on sex.     

Job Strain,Effort-Reward Imbalance and Mental Distress: A study of occupations in general medical practice

There is increasing evidence to support the predictive power of social epidemiological models such as Effort-Reward Imbalance (Siegrist, 1996) and the Job-Strain Model (Karasek, and Theorell, 1990) for explaining occupational stress, although it has been suggested that the models may have distinctive contributions towards explaining work stress in specific work settings. Alternatively, it has been suggested that the explanatory power of the different models might be enhanced if they were combined. The aim of this paper is to explore these questions by examining the power of the two different models both separately and in combination for explaining job satisfaction and mental distress in general medical practice. This analysis was based on data collected from a postal survey of the members of staff (N=1089, response rate = 70%) of 81 practices, which were randomly selected from all general practices in the National Health Service Executive South East region. The results show that while both models were predictors of mental distress and job satisfaction the models that combined different dimensions were the strongest predictors.     

Advantages of a wholly Bayesian approach to assessing efficacy in early drug development: a case study

This paper illustrates how the design and statistical analysis of the primary endpoint of a proof‐of‐concept study can be formulated within a Bayesian framework and is motivated by and illustrated with a Pfizer case study in chronic kidney disease. It is shown how decision criteria for success can be formulated, and how the study design can be assessed in relation to these, both using the traditional approach of probability of success conditional on the true treatment difference and also using Bayesian assurance and pre‐posterior probabilities. The case study illustrates how an informative prior on placebo response can have a dramatic effect in reducing sample size, saving time and resource, and we argue that in some cases, it can be considered unethical not to include relevant literature data in this way. Copyright © 2015 John Wiley & Sons, Ltd.     

Reforming Professional Training and Protecting Vulnerable Adults from Abuse: A Thematic Analysis of the New Social Work Degree's Prescribed Curriculum

Correspondence to Phil Slater, School of Health and Social Sciences, Middlesex University, Queensway, Enfield EN3 4SF, UK. E-mail: p.slater{at}mdx.ac.uk Summary This paper analyses the Prescribed Curriculum of the new Degreein Social Work in relation to the Department of Health themeof ‘protecting vulnerable adults from abuse’. Areview of post-war social policy first establishes the significanceof these terms, both individually and in varying combinations.Subsequently, the phrase as a whole provides the focus for acontent analysis of the three constituents of the PrescribedCurriculum, namely, the Secretary of State’s Requirementsfor Social Work Training, the employment-focussed National OccupationalStandards for Social Work, and the academically oriented BenchmarkStatement for Social Work. With the exception of ‘abuse’,the key terms are all registered, albeit unevenly. This presenceis subsequently enhanced via strategic considerations of ‘logicalimportance’ and ‘organising rubrics’. Finally,terminological variants of ‘abuse’ are traced, withparticular regard to the emerging language of ‘rights’.