Soil type influences crop mineral composition in Malawi

Food supply and composition data can be combined to estimate micronutrient intakes and deficiency risks among populations. These estimates can be improved by using local crop composition data that can capture environmental influences including soil type. This study aimed to provide spatially resolved crop composition data for Malawi, where information is currently limited. Six hundred and fifty-two plant samples, representing 97 edible food items, were sampled from N150 sites in Malawi between 2011 and 2013. Samples were analysed by ICP-MS for up to 58 elements, including the essential minerals calcium (Ca), copper (Cu), iron (Fe), magnesium (Mg), selenium (Se) and zinc (Zn). Maize grain Ca, Cu, Fe, Mg, Se and Zn concentrations were greater from plants grown on calcareous soils than those from the more widespread low-pH soils. Leafy vegetables from calcareous soils had elevated leaf Ca, Cu, Fe and Se concentrations, but lower Zn concentrations. Several foods were found to accumulate high levels of Se, including the leaves of Moringa, a crop not previously been reported in East African food composition data sets. New estimates of national dietary mineral supplies were obtained for non-calcareous and calcareous soils. High risks of Ca (100%), Se (100%) and Zn (57%) dietary deficiencies are likely on non-calcareous soils. Deficiency risks on calcareous soils are high for Ca (97%), but lower for Se (34%) and Zn (31%). Risks of Cu, Fe and Mg deficiencies appear to be low on the basis of dietary supply levels

Chemical simulation of greywater

Sustainable water resources management attracts considerable attention in today’s world. Recycling and reuse of both wastewater and greywater are becoming more attractive. The strategy is to protect ecosystem services by balancing the withdrawal of water and the disposal of wastewater. In the present study, a timely and novel synthetic greywater composition has been proposed with respect of the composition of heavy metals, nutrients and organic matter. The change in water quality of the synthetic greywater due to increasing storage time was monitored to evaluate the stability of the proposed chemical formula. The new greywater is prepared artificially using analytical grade chemicals to simulate either low (LC) or high (HC) pollutant concentrations. The characteristics of the synthetic greywater were tested (just before starting the experiment, after two days and a week of storage under real weather conditions) and compared to those reported for real greywater. Test results for both synthetic greywater types showed great similarities with the physiochemical properties of published findings concerning real greywater. Furthermore, the synthetic greywater is relatively stable in terms of its characteristics for different storage periods. However, there was a significant (p<0.05) reduction in 5-day biochemical oxygen demand (BOD5) for both low (LC) and high (HC) concentrations of greywater after two days of storage with reductions of 62% and 55%, respectively. A significant (p<0.05) change was also noted for the reduction (70%) of nitrate‒nitrogen (NO3‒N) concerning HC greywater after seven days of storage

Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation.

Global disease suitability models are essential tools to inform surveillance systems and enable early detection. We present the first global suitability model of highly pathogenic avian influenza (HPAI) H5N1 and demonstrate that reliable predictions can be obtained at global scale. Best predictions are obtained using spatial predictor variables describing host distributions, rather than land use or eco-climatic spatial predictor variables, with a strong association with domestic duck and extensively raised chicken densities. Our results also support a more systematic use of spatial cross-validation in large-scale disease suitability modelling compared to standard random cross-validation that can lead to unreliable measure of extrapolation accuracy. A global suitability model of the H5 clade 2.3.4.4 viruses, a group of viruses that recently spread extensively in Asia and the US, shows in comparison a lower spatial extrapolation capacity than the HPAI H5N1 models, with a stronger association with intensively raised chicken densities and anthropogenic factors

Child-centered food systems: reorienting food systems towards healthy diets for children

Current food systems are failing to guide children towards healthy diets. This paper presents a tool to identify the actions needed to reorient food systems to become more child-centred from a nutrition perspective. To connect the dots between children's lives, their food environments and food supply systems, the tool takes a child-centred, food systems approach. Comprising six methodological steps, the tool starts by measuring and understanding children's realities and then working back up into the system to identify how food environments and supply systems could make relevant foods more or less available, affordable, appealing and aspirational in the contexts of children's lives. The paper spells out the mix of methods needed to make this assessment, gives examples of the data and studies already available and type of insights they provide, and discusses the methodological challenges and gaps. It presents a worked example that shows how following these steps in sequence enables the identification of a package of actions that can act coherently to reorient food systems in the way most likely to have impact on child malnutrition

Association between wasting and food insecurity among children under five years: findings from Nepal demographic health survey 2016

Background Wasting is a consequence of food insecurity, inappropriate dietary practices, and inadequate caring and feeding practices. The present study assessed association between wasting and household food insecurity among under 5 years old children, along with other socio-demographic characteristics. Methods This study is a secondary analysis of the Nepal Demographic and Health Survey 2016. The survey is cross-sectional in design with use of standardized tools. The sampling frame used is an updated version of the frame from the 2011 National Population and Housing Census. The participants were children under 5 years of age (n = 2414). Logistic regression was carried out to identify the odds of being wasted for children belonging to different levels of food insecure households using odds ratio and 95% confidence intervals. Results The prevalence of wasting increased with the level of food insecurity, from mild (9.4%) to moderate (10.8%) and to severe (11.3%). The highest proportions of wasted children were in Province 2 (14.3%), from rural areas (10.1%), born to mothers with no education (12.4%) and from a richer quintile (11.3%). Children belonging to severe food insecure households had 1.36 (95%CI 0.72–2.57) adjusted odds of being wasted and those belonging to mild food insecure and moderately food insecure households had 0.98 (95%CI 0.64-1.49) and 1.13 (95%CI 0.65–1.97) odds of being wasted respectively. Province 1 (AOR 2.06, 95%CI 1.01–4.19) and Province 2 (AOR 2.45, 95%CI 1.22–4.95) were significantly associated with wasting. Conclusion Considering the increment in childhood wasting as per level of food insecurity, an integrated intervention should be developed in Nepal that, 1. addresses improving knowledge and behavior of community people with respect to diet and nutrition; 2. reduce the problem of food insecurity through agricultural interventions

Statement on the risks for public health related to a possible increase of the maximum level of deoxynivalenol for certain semi-processed cereal products

The European Food Safety Authority (EFSA) was asked to deliver a scientific opinion on the risks for public health related to a possible increase of the maximum level (ML) of deoxynivalenol (DON) for certain semi-processed cereal products from 750 µg/kg to 1000 µg/kg. For this statement, EFSA relied on existing occurrence data on DON in food collected between 2007 and 2012 and reported by 21 European countries. Due to the lack of appropriate occurrence data from pre-market monitoring, the impact of increasing the ML was estimated using a simulation approach, resulting in an expected increase in mean levels of the respective food products by a factor of 1.14-1.16. Based on median chronic exposure in several age classes, the percentage of consumers exceeding the group provisional maximum tolerable daily intake (PMTDI) of 1 μg/kg body weight (b.w.) for the sum of DON and its 3- and 15-acetyl-derivatives, established by the Joint FAO/WHO Expert Committee on Food Additives (JECFA) in 2010, is approximately 2-fold higher with the suggested increased ML than with the current ML. Several acute exposure scenarios resulted in exceedance of the group acute reference dose (ARfD) of 8 µg/kg b.w. established by JECFA with up to 25.9 % of the consumption days above the group ARfD. The EFSA Scientific Panel on Contaminants in the Food Chain notes that the group health based guidance values (HBGVs) include 3-Ac-DON and 15-Ac-DON. The exposure from the acetyl-derivatives has not been covered in this statement, since the acetyl-derivatives are not included in the current or suggested increased ML and because only few occurrence data are available. An increase of the DON ML can be expected to be associated with an increase of the levels of DON and Ac-DONs, and can therefore increase the exposure and consequently the exceedances of the group HBGVs

The Double Burden of Malnutrition: A Systematic Review of Operational Definitions

Background Despite increasing research on the double burden of malnutrition (DBM; i.e., coexisting over- and undernutrition), there is no global consensus on DBM definitions. Objectives To identify published operational DBM definitions, measure their frequency of use, and discuss implications for future assessment. Methods Following a structured search of peer-reviewed articles with terms describing “overnutrition” [e.g., overweight/obesity (OW/OB)] and “undernutrition” (e.g., stunting, micronutrient deficiency), we screened 1920 abstracts, reviewed 500 full texts, and extracted 623 operational definitions from 239 eligible articles. Results We organized three identified DBM dimensions (level of assessment, target population, and forms of malnutrition) into a framework for building operational DBM definitions. Frequently occurring definitions included coexisting: 1) OW/OB and thinness, wasting, or underweight (n = 289 occurrences); 2) OW/OB and stunting (n = 161); 3) OW/OB and anemia (n = 74); and 4) OW/OB and micronutrient deficiency (n = 73). Conclusions Existing DBM definitions vary widely. Putting structure to possible definitions may facilitate selection of fit-for-purpose indicators to meet public health priorities