Alcohol abuse among women is a public health importance that may impair prenatal and postnatal growth. Tella is among the most common homemade alcoholic beverages in rural Ethiopia, but little is known about the magnitude of tella intake during pregnancy and lactation or its effects on child growth. The present study investigated associations between maternal tella intake and the growth of their children. A cross-sectional mixed-methods study was conducted with mothers (n 228) and their 12–36-month-old children and with key informants (n 12). Tella intake during most recent pregnancy and lactation was estimated retrospectively by glasses per drinking event and frequency of events. Nearly 80 % of mothers had consumed some amount of tella during their most recent pregnancy and lactation. Furthermore, 72 % of children had tasted or drunk tella at some time during their life. Stunting was 42 % and was significantly associated with maternal tella consumption at least every other day during pregnancy (adjusted odds ratio (AOR) 4⋅97, 95 % confidence interval (CI) 2⋅20, 11⋅25), male sex (AOR 2⋅31, 95 % CI 1⋅27, 4⋅19), two or more under-5-year-old children in the household (AOR 3⋅52, 95 % CI 1⋅49, 8⋅33) and family size >5 (AOR 1⋅84, 95 % CI 1⋅01, 3⋅36). Underweight was 24⋅6 % and was associated with the child drinking tella with their mother (AOR 4⋅23, 95 % CI 1⋅99, 8⋅97), being male (AOR 3⋅73, 95 % CI 1⋅73, 7⋅94), having ≥3 diarrhoeal episodes in the last 3 months (AOR 11⋅83, 95 % CI 4⋅22, 33⋅14) and being in the older age group (AOR 2⋅98, 95 % CI 1⋅09, 8⋅13). The associations between tella intake and child growth suggest the need to mitigate the effects of tella on child anthropometry.

The aim of the present study is to analyse the qualitative text written on the back page of a quantitative survey concerned with the Church of England’s response to the Covid-19 pandemic. Of the 1460 rural lay people in England who took part in the Coronavirus, Church & You survey, 501 wrote further (sometimes detailed) comments on the back page (34 per cent participation rate). This study analyses the comments made by a subsection of these 501 rural lay people, specifically the 52 participants who voiced their views on how the Church of England’s leadership responded during the first four months of the Covid-19 pandemic. Analysis identified a number of issues and concerns, including: a lack of quality leadership, comparing with other Churches, becoming irrelevant, centralizing action, closing rural churches, neglecting rural people, neglecting rural clergy, marginalizing rural communities, using the kitchen table, and looking to the future. Overall, rural lay people were disappointed with the response of church leadership to the first national lockdown. If these churchgoers are to be fruitfully reconnected with their churches after the pandemic, then leadership of the Church of England may need to hear and to take seriously their concerns.

Automotive systems are changing rapidly from purely mechanical to smart, programmable assistants. These systems react and respond to the driving environment and communicate with other subsystems for better driver support and safety. However, instead of supporting, the complexity of such systems can result in a stressful experience for the driver, adding to the workload. Hence, a poorly designed system, from a usability and user experience perspective, can lead to reduced usage or even ignorance of the provided functionalities, especially concerning Adaptive Driver Assistance Systems.

In this paper, the authors propose a combined design approach for user behavior evaluation of such systems. At the core of the design is a mixed methods approach, where objective data, which is automatically collected in vehicles, is augmented with subjective data, which is gathered through in- depth interviews with end-users. The aim of the proposed methodology design is to improve current practices on user behavior evaluation, achieve a deeper understanding of driver's behavior, and improve the validity and rigor of the named results.

Background: In the past decade, a great deal of research has examined the efficacy and mechanisms of attentional bias modification (ABM), a computerized cognitive training intervention for anxiety and other disorders. However, little research has examined how anxious patients perceive ABM, and it is unclear to what extent perceptions of ABM influence outcome. Aims: To examine patient perceptions of ABM across two studies, using a mixed methods approach. Method: In the first study, participants completed a traditional ABM program and received a hand-out with minimal information about the purpose of the task. In the second study, participants completed an adaptive ABM program and were provided with more extensive rationale and instructions for changing attentional biases. Results: A number of themes emerged from qualitative data related to perceived symptom changes and mechanisms of action, acceptability, early perceptions of the program, barriers/facilitators to engagement, and responses to adaptive features. Moreover, quantitative data suggested that patients’ perceptions of the program predicted symptom reduction as well as change in attentional bias. Conclusions: Our quantitative data suggest that it may be possible to quickly and inexpensively identify some patients who may benefit from current ABM programs, although our qualitative data suggest that ABM needs major modifications before it will be an acceptable and credible treatment more broadly. Although the current study was limited by sample size and design features of the parent trials from which these data originated, our findings may be useful for guiding hypotheses in future studies examining patient perceptions towards ABM.

This paper is concerned with nearest-neighbour systems on the coloured lattice (unordered state space). It extends the paper of Strauss (1975) on clustering in the two-colour case. Comparison is made with the more general methods of Besag (1974). Some tests are developed, and illustrated with an example.