Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts

High levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, but the exact nature of the dose-response relationship is less well understood. To investigate this relationship, data were assembled from six longitudinal birth cohort studies examining the effects of PAE on cognitive outcomes from early school age through adolescence. Structural equation models (SEMs) are a natural approach to consider, because of the way they conceptualise multiple observed outcomes as relating to an underlying latent variable of interest, which can then be modelled as a function of exposure and other predictors of interest. However, conventional SEMs could not be fitted in this context because slightly different outcome measures were used in the six studies. In this paper we propose a multi-group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes. The relation between these variables and PAE is then examined while controlling for potential confounders via propensity score adjustment. By examining different possible dose-response functions, the proposed framework is used to investigate whether there is a threshold PAE level that results in minimal cognitive deficit.     

Challenging the ‘dirty worker’—‘clean client’ dichotomy: Conceptualizing worker-client relations in dirty work

Dirty work research has long analytically prioritized focusing on the people who do dirty work, largely sidestepping who the clients of dirty work are and what contribution they can make to workers’ experience of the job as more or less dirty. We address these oversights through a systematic review and analysis of 65 articles, theorizing the role played by clients within dirty work. Firstly, we propose a three-fold categorization of dirty work clients based on their temporal-spatial proximity to the work and explain how clients can be a source of stigma through communicative and corporeal interactions with workers. Secondly, we collate existing discussions that mention worker-client relations into a conceptual framework of clients’ contributions to dirty work through considering several feedback loops between clients’ and workers’ behaviours and discourses. In doing so, we examine the ways in which clients can both reinforce and alleviate workers’ experience of dirty work stigma.