Consuming Anxiety? Parenting Practices in China after the Infant Formula Scandal

This paper examines the social context and implications of the 2008 infant formula scandal in China. It argues that the crisis was precipitated by China's rapid urbanization and the growth of middle class consumption patterns as well as by a lack of effective government regulation of the supply chain. The paper uses focus group research with families in Chengdu to examine the way parenting practices changed in light of the scandal as parents switched to more expensive imported formula and came to rely on food supplies from rural friends and relatives. The paper argues that parenting practices, including infant feeding, should be understood in terms of the high rate of female labor-force participation in China (with low levels of maternity leave), the medicalization of childbirth and antenatal care, and the heavy reliance on grandparents to provide childcare for newborn babies. While parental practices have adjusted since the infant formula scandal, a range of food-related anxieties persist

Computationally efficient optimization of stock pooling and allocation levels for two-demand-classes under general lead time distributions

<p>In this article we develop a procedure for estimating service levels (fill rates) and for optimizing stock and threshold levels in a two-demand-class model managed based on a lot-for-lot replenishment policy and a static threshold allocation policy. We assume that the priority demand classes exhibit mutually independent, stationary, Poisson demand processes and non-zero order lead times that are independent and identically distributed. A key feature of the optimization routine is that it requires computation of the stationary distribution only once. There are two approaches extant in the literature for estimating the stationary distribution of the stock level process: a so-called single-cycle approach and an embedded Markov chain approach. Both approaches rely on constant lead times. We propose a third approach based on a Continuous-Time Markov Chain (CTMC) approach, solving it exactly for the case of exponentially distributed lead times. We prove that if the independence assumption of the embedded Markov chain approach is true, then the CTMC approach is exact for general lead time distributions as well. We evaluate all three approaches for a spectrum of lead time distributions and conclude that, although the independence assumption does not hold, both the CTMC and embedded Markov chain approaches perform well, dominating the single-cycle approach. The advantages of the CTMC approach are that it is several orders of magnitude less computationally complex than the embedded Markov chain approach and it can be extended in a straightforward fashion to three demand classes.</p

High Impact/ Low Frequency extreme events: Enabling Reflection and Resilience in a Hyper-connected World

Helbing (2013:51) poignantly argues that ‘Globalization and technological revolutions are changing our planet’. Along with the benefits and opportunities associated with worldwide collaboration networks comes ‘pathways along which dangerous and damaging events can spread rapidly and globally’. With our hyper-connected world underpinned by hyper or hybrid-risks, the impact of unexpected events such as floods, earthquakes, financial crisis, and cyber-attacks has revealed the fragility and vulnerabilities that lie within the social/technological/economic/political/ecological interdependent systems. In particular, events that affect critical infrastructure such as damage to electric power, telecommunications, transportation, health care systems, financial markets and water-supply systems can have local, regional and global impact. calls these extreme events ‘Black swans’ to describe their inherent quality of surprise. Many of the systemic risks that characterize Natural Hazard triggered Technological disasters (NATECH) often arise from unanticipated consequences of interactions within and between different types of systems. Johnson and Tivnan (2012:65) argue that, ‘…understanding, controlling and predicting extreme behavior [of NATECH] is an important strategic goal to support resilience planning’. In this light, a new paradigm is required to support disaster risk reduction (DRR) embedded in hyper-risks; one that will develop not only anticipatory measures for risk management but also prepare for the unpredictable and the ‘unknown’ by building organisational resilience for hyper-risks in general and NATECH disasters in particular. In this paper we explore the emergency management domain associated with the Fukushima Daiichi nuclear accident to show the hyper-connectivity and hyper-risks that permeated the problem space and thereby show how ‘reflective responses’ underpinned by ‘critical reflective practices’ can be used to support resilience in such a complex disaster

Supplementary information files for Assessing community readiness for overweight and obesity prevention among Ghanaian immigrants living in Greater Manchester, England

Supplementary files for article Assessing community readiness for overweight and obesity prevention among Ghanaian immigrants living in Greater Manchester, England Aim: This study assesses community readiness to prevent overweight/obesity among Ghanaian immigrants in Greater Manchester, England.  Subject and method: The Community Readiness Model (CRM) was applied using a semi-structured interview tool with 13 key informants (religious and other key community members) addressing five readiness dimensions. A maximum of 9 points per dimension (from 1 = no awareness to 9 = high level of community ownership), was assigned, alongside qualitative textual thematic analysis.  Results: The mean readiness score indicated that the study population was in the “vague awareness stage” (3.08 ± 0.98). The highest score was observed for community knowledge of the issue (4.42 ± 0.99) which was in the pre-planning phase, followed by community climate (vague awareness; 3.58 ± 0.62). The lowest scores were seen for resources (denial/resistance; 2.70 ± 0.61) and knowledge of efforts (no awareness; 1.53 ± 0.44). Findings identified structural barriers, including poor living conditions as a result of poorly paid menial jobs and high workload, contributing to the adoption of unhealthy lifestyle behaviours. Socio-cultural factors such as fatalism, hereditary factors, and social status were associated with acceptance of overweight.  Conclusion: Despite recognising overweight/obesity as an important health issue in these communities, especially among women, it is not seen as a priority for targeting change. To help these communities to become more ready for interventions that tackle overweight/obesity, the focus should initially be to address the structural barriers identified, including reducing poverty, alongside designing interventions that work with these structural barriers, and thereafter focus on the socio-cultural factors.</p

Additional file 1 of Patient level barriers to accessing TB care services during the COVID-19 pandemic in Uganda, a mixed methods study

Supplementary Material