The aim of this review was to determine the impact of the fatty acid desaturase (FADS) genotype on plasma and tissue concentrations of the long-chain (LC) n-3 PUFA, including EPA and DHA, which are associated with the risk of several diet-related chronic diseases, including CVD. In addition to dietary intakes, which are low for many individuals, tissue EPA and DHA are also influenced by the rate of bioconversion from α-linolenic acid (αLNA). Δ-5 and Δ-6 desaturase enzymes, encoded for by FADS1 and FADS2 genes, are key desaturation enzymes involved in the bioconversion of essential fatty acids (αLNA and linoleic acid (LA)) to longer chained PUFA. In general, carriers of FADS minor alleles tend to have higher habitual plasma and tissue levels of LA and αLNA, and lower levels of arachidonic acid, EPA and also to a lesser extent DHA. In conclusion, available research findings suggest that FADS minor alleles are also associated with reduced inflammation and CVD risk, and that dietary total fat and fatty acid intake have the potential to modify relationships between FADS gene variants and circulating fatty acid levels. However to date, neither the size-effects of FADS variants on fatty acid status, nor the functional SNP in FADS1 and 2 have been identified. Such information could contribute to the refinement and targeting of EPA and DHA recommendations, whereby additional LC n-3 PUFA intakes could be recommended for those carrying FADS minor alleles.

Vitamin D is obtained by cattle from the diet and from skin production via UVB exposure from sunlight. The vitamin D status of the cow impacts the vitamin D content of the milk produced, much like human breast milk, with seasonal variation in the vitamin D content of milk well documented. Factors such as changes in husbandry practices therefore have the potential to impact the vitamin D content of milk. For example, a shift to year-round housing from traditional practices of cattle being out to graze during the summer months and housed during the winter only, minimises exposure to the sun and has been shown to negatively influence the vitamin D content of the milk produced. Other practices such as changing dietary sources of vitamin D may also influence the vitamin D content of milk, and evidence exists to suggest genetic factors such as breed can cause variation in the concentrations of vitamin D in the milk produced. The present review aims to provide an overview of the current understanding of how genetic and environmental factors influence the vitamin D content of the milk produced by dairy cattle. A number of environmental and genetic factors have previously been identified as having influence on the nutritional content of the milk produced. The present review highlights a need for further research to fully elucidate how farmers could manipulate the factors identified to their advantage with respect to increasing the vitamin D content of milk and standardising it across the year.

Nutrient profiling aims to classify or rank foods according to their nutritional composition to assist policies aimed at improving the nutritional quality of foods and diets. The present paper reviews a French approach of nutrient profiling by describing the SAIN,LIM system and its evolution from its early draft to the simplified nutrition labelling system (SENS) algorithm. Considered in 2010 by WHO as the ‘French model’ of nutrient profiling, SAIN,LIM classifies foods into four classes based on two scores: a nutrient density score (NDS) called SAIN and a score of nutrients to limit called LIM, and one threshold on each score. The system was first developed by the French Food Standard Agency in 2008 in response to the European regulation on nutrition and health claims (European Commission (EC) 1924/2006) to determine foods that may be eligible for bearing claims. Recently, the European regulation (EC 1169/2011) on the provision of food information to consumers allowed simplified nutrition labelling to facilitate consumer information and help them make fully informed choices. In that context, the SAIN,LIM was adapted to obtain the SENS algorithm, a system able to rank foods for simplified nutrition labelling. The implementation of the algorithm followed a step-by-step, systematic, transparent and logical process where shortcomings of the SAIN,LIM were addressed by integrating specificities of food categories in the SENS, reducing the number of nutrients, ordering the four classes and introducing European reference intakes. Through the French example, this review shows how an existing nutrient profiling system can be specifically adapted to support public health nutrition policies.

Stable isotopes are non-radioactive, safe and are applied for various purposes in human health assessment in trace amounts that minimally disturb normal physiology. The International Atomic Energy Agency supports the use of stable isotope techniques to design and evaluate interventions addressing malnutrition in all its forms with focus on infant and young child feeding; maternal and adolescent nutrition; diet quality; prevention and control of non-communicable diseases; healthy ageing and gut function. These techniques can be used to objectively measure: (1) amount of human milk consumed and whether an infant is exclusively breastfed; (2) body composition in the context of re-feeding programmes for moderate and severe acute malnutrition and as an indicator of the risk for obesity; (3) bioavailability and bioconversion of pro-vitamin A and vitamin A body stores following vitamin A intervention programmes; (4) absorption and retention of iron, zinc and protein; (5) total energy expenditure for validation of physical activity measurement and dietary assessment tools and (6) diagnosis of Helicobacter pylori. Stable isotope techniques will be invaluable in the tracking of global targets on exclusive breast-feeding childhood obesity and anaemia among women. Efforts are underway to make nuclear techniques more affordable, field-friendly and less invasive, and to develop less sophisticated but precise equipment. Advocacy for the wide adoption of the techniques is needed.

The primary goal of front of pack (FOP) labelling is to help consumers make healthier choices through communication. A secondary goal is to encourage producers to improve the nutritional composition of their products. Evidence has shown that (FOP) labelling can help consumers to make healthier food choices and has been an incentive for producers to improve product composition. As FOP labelling is seen as an important tool to improve food environments for public health purposes, the WHO supports initiatives of governments to implement an FOP labelling system. Based on the experiences of a wide range of countries over many years, possible success factors for such an FOP system have been defined, six of which are discussed in the present paper and used to evaluate the Dutch Choices Programme that was started in 2006. In the course of time a large number of producers joined the programme and the logo was recognised by more than 90 % of the consumers, but by 2016 the Dutch consumer organisation argued on the basis of their own research that a quarter of the consumers did not understand the colour coding of the logo and as a result the Dutch government decided to no longer support this logo and to introduce a nutrition app. The challenge that remains is to find a system that consumers understand well and that still encourages manufacturers of food to improve product composition. New technology-based data collecting initiatives might provide the right tools to develop such a system.

Maternal and child health (MCH) consists of an interdependent reproductive system that collectively determines the survival of the mother during childbirth, and determines the health and survival of the child. This interdependency underscores the importance of appropriate and timely interventions during pregnancy through the first 1000 d at the minimum. The Millennium Development Goals (MDG) recommended the use of the continuum of care for the development of interventions by addressing all the stages of MCH. The purpose of the present paper is to review the factors that contributed to the attainment of the MDG 4 and MDG 5 by analysing the interventions conducted by the countries that achieved at least 5·0 and 5·5 %, respectively, and determine the level of their intervention based on the MCH conceptual framework. Out of the eighteen selected countries discussed, fifteen countries achieved their target for either MDG 4 or MDG 5 or both, while three countries did not achieve their target. The countries that were more likely to achieve their targets addressed the societal, underlying and direct causes, and implemented country wide policies. In contrast, the countries that did not succeed were more likely to address the direct causes with poor policy implementation. Understanding the motivation and limitations of the target population, including nutrition education and targeting behaviour change has the potential to result in sustainable MCH. This information has the potential to enlighten the policymakers as we progress to the sustainable development goals, specifically goals 2 and 3.