The complexity of producing and interpreting dietary vitamin A statistics.

Producing, reporting, and interpreting vitamin A statistics present multiple challenges largely attributable to the systems of equivalence used to convert pro-vitamin A carotenoids into retinol equivalents, and to the criteria used by institutions to set recommendations. This study describes the information on total vitamin A, retinol and provitamin A carotenoids available in 90 food composition tables/databases (FCTs/FCDBs). It also evaluates the effect of the definition of vitamin A intake (Retinol Equivalents [RE] or Retinol Activity Equivalents [RAE]) and the source of requirements on the potential contribution of dietary intake to the population's requirements. We found that 43 percent of the FCTs/FCDBs reviewed, many of them from high-income countries, do not provide total vitamin A or sufficient information for computing it, or present inconsistencies between the metadata and the published values; 9 percent publish total vitamin A in RE and RAE; and 28 percent provide information on retinol and provitamin A carotenoids that enables calculating total vitamin A in both definitions. Vitamin A adequacy ratios are lowest when the consumption unit is RAE and the source of requirements is the US Health and Medicine Division. When the consumption definition is RE, adequacy ratios are higher using FAO/WHO than EFSA requirements. It is imperative to reach consensus on the system of conversion of provitamin A carotenoids into retinol equivalents.

Development of the FAO/INFOODS/IZINCG Global Food Composition Database for Phytate.

Phytate is widely distributed in the plant kingdom, and its significance for human nutrition has been often described. Data on phytate is available in very few composition tables, for a limited number of foods and mainly for raw products. With the aim of publishing the first global repository of analytical data on phytate, data on moisture, phytate, zinc, iron and calcium were compiled. Other aspects, such as the analytical method used, biodiversity and processing, were considered, and phytate: mineral ratios were calculated when possible. From a comprehensive literature search, over 250 references were compiled, generating 3377 entries: 39% for raw and 61% for processed foods. Most of the entries were for cereals (35%), followed by legumes (27%) and vegetables (11%). The most common analytical methods used were indirect precipitation (26%) and anion exchange (25%), while separate determination of IPs is the most recommended. The database can be used as a tool for nutrition workers to include into food composition tables and to develop programmes related to mineral deficiencies. These data will be useful for designing diets with enhanced mineral bioavailability and for improving the estimates for nutrient requirements. The database is available at the INFOODS (www.fao.org/infoods/infoods/tables-and-databases/en) and IZiNCG webpages (www.izincg.org).

Importance and use of reliable food composition data generation by nutrition/dietetic professionals towards solving Africa's nutrition problem: constraints and the role of FAO/INFOODS/AFROFOODS and other stakeholders in future initiatives.

Despite the rich biodiversity of the African continent and the tremendous progress so far made in food production, Africa is still struggling with the problems of food insecurity, hunger and malnutrition. To combat these problems, the production and consumption of nutritious and safe foods need to be promoted. This cannot be achieved without reliable data on the quantity and quality of nutrients and other components provided through these foods. Food composition data (FCD) are compiled as food composition tables (FCT) or food composition databases (FCDB). These are subsequently used for a variety of purposes, ranging from clinical practice, research, public health/education, food industry to planning and policy, as well as nutrition monitoring and surveillance. To perform these functions effectively, the importance of reliable FCT/FCDB cannot be overemphasised. Poor quality FCT/FCDB have serious consequences on the health of the population, and provide skew evidence towards developing nutrition and health-related policies. The present paper reviews different methods to generate FCT/FCDB, their importance and use in assisting nutrition/dietetic professionals in solving Africa's nutrition problems; current status of FCT/FCDB generation, compilation and dissemination in Africa, constraint to their use by professionals and the role of FAO/INFOODS/AFROFOODS and other stakeholders towards improvement and future initiatives. The information provided will create awareness on the need for up-to-date and high-quality FCT/FCDB and facilitate the identification of data gaps and prioritisation of future efforts in FCD generation, compilation and dissemination in Africa and subsequent strategies for the alleviation of the food and nutrition problems in Africa.

Global Dietary Surveillance: Data Gaps and Challenges.

BACKGROUND: Detailed information on global individual-level consumption patterns is imperative for informed policy making. However, such data are dispersed and incomplete. OBJECTIVE: To review and discuss the methodologies, observed data availability, challenges, and opportunities pertaining to global dietary surveillance. METHODS: This investigation provides an extensive review of global dietary assessment methodologies and challenges, including at the survey level, the dietary collection and assessment level, and the dietary data processing and analysis level. The focus is on nationally representative individual-level data, and additional types of dietary data, such as dietary biomarkers, household assessment, and food availability, are reviewed as alternatives. Practical guidance is provided to inform key decisions when designing dietary surveys and collecting, analyzing, and using dietary data. This article further identifies and describes existing global and regional dietary initiatives/data sets. RESULTS: Harmonized and standardized primary individual-level dietary data collection, processing, and analysis worldwide are currently not available. Evaluation and decision-making should be based on best available data, that is, secondary nonharmonized yet to the extent possible, standardized individual-level dietary data. Existing initiatives differ substantially in methodologies, including survey design/representativeness, coverage, diet assessment, and dietary metric standardization and processing. Data gaps have been identified that were more profound for certain countries, certain dietary indicators across countries, population subgroups, representativeness, or time periods. CONCLUSIONS: Optimizing worldwide dietary habits to improve population health requires systematically identified and evaluated data on a continuing basis. Leveraging existing available dietary data and efforts is an indispensable prerequisite for informed priority setting targeting the intersections between diet and disease.

Measurement Errors in Dietary Assessment Using Self-Reported 24-Hour Recalls in Low-Income Countries and Strategies for Their Prevention.

Securing accurate measurements of dietary intake across populations is challenging. Of the methods, self-reported 24-h recalls are often used in low-income countries (LICs) because they are quick, culturally sensitive, do not require high cognitive ability, and provide quantitative data on both foods and nutrients. Measuring intakes via 24-h recalls involves 1) collecting data on food intakes, 2) the appropriate use of relevant food-composition data for calculating nutrient intakes, and 3) statistically converting observed intakes to "usual intakes" for evaluating nutrient adequacy or relations between foods and nutrients and health outcomes. Like all dietary methods, 24-h recalls are subject to random errors that lower the precision and systematic errors that can reduce accuracy at each stage of the measurement protocol. Research has identified the potential sources of measurement errors in 24-h recall protocols and emphasized that sources of random error can be reduced by incorporating standardized quality-control procedures and collecting more than one 24-h recall per person, with the number depending on the study objective. Careful design of the initial 24-h recall protocol can take into account potential sources of systematic error, such as day of the week, season, age, etc. Other sources of systematic error (e.g., energy underreporting) can best be detected by including a reference measure (e.g., doubly labeled water to measure energy expenditure). Alternatively, 24-h recall intakes of energy can be compared with same-day weighed intakes. Nevertheless, very few studies in LICs have assessed the validity of 24-h recalls in their study settings or adopted recommended standardized protocols to mitigate random errors. Hence, efforts should be made to improve the assessment, analysis, and interpretation of self-reported 24-h recall data for population studies in LICs. Accurate and precise dietary intake data at the national level can play an essential role in informing food, nutrition, and agricultural policies; food fortification planning; and compliance to food-based dietary guidelines.

Overcoming Dietary Assessment Challenges in Low-Income Countries: Technological Solutions Proposed by the International Dietary Data Expansion (INDDEX) Project.

An increasing number of low-income countries (LICs) exhibit high rates of malnutrition coincident with rising rates of overweight and obesity. Individual-level dietary data are needed to inform effective responses, yet dietary data from large-scale surveys conducted in LICs remain extremely limited. This discussion paper first seeks to highlight the barriers to collection and use of individual-level dietary data in LICs. Second, it introduces readers to new technological developments and research initiatives to remedy this situation, led by the International Dietary Data Expansion (INDDEX) Project. Constraints to conducting large-scale dietary assessments include significant costs, time burden, technical complexity, and limited investment in dietary research infrastructure, including the necessary tools and databases required to collect individual-level dietary data in large surveys. To address existing bottlenecks, the INDDEX Project is developing a dietary assessment platform for LICs, called INDDEX24, consisting of a mobile application integrated with a web database application, which is expected to facilitate seamless data collection and processing. These tools will be subject to rigorous testing including feasibility, validation, and cost studies. To scale up dietary data collection and use in LICs, the INDDEX Project will also invest in food composition databases, an individual-level dietary data dissemination platform, and capacity development activities. Although the INDDEX Project activities are expected to improve the ability of researchers and policymakers in low-income countries to collect, process, and use dietary data, the global nutrition community is urged to commit further significant investments in order to adequately address the range and scope of challenges described in this paper.

Enabled or Disabled: Is the Environment Right for Using Biodiversity to Improve Nutrition?

How can we ensure that 9 billion people will have access to a nutritious and healthy diet that is produced in a sustainable manner by 2050? Despite major advances, our global food system still fails to feed a significant part of humanity adequately. Diversifying food systems and diets to include nutrient-rich species can help reduce malnutrition, while contributing other multiple benefits including healthy ecosystems. While research continues to demonstrate the value of incorporating biodiversity into food systems and diets, perverse subsidies, and barriers often prevent this. Countries like Brazil have shown that, by strategic actions and interventions, it is indeed possible to create better contexts to mainstream biodiversity for improved nutrition into government programs and public policies. Despite some progress, there are few global and national policy mechanisms or processes that effectively join biodiversity with agriculture and nutrition efforts. This perspective paper discusses the benefits of biodiversity for nutrition and explores what an enabling environment for biodiversity to improve nutrition might look like, including examples of steps and actions from a multi-country project that other countries might replicate. Finally, we suggest what it might take to create enabling environments to mainstream biodiversity into global initiatives and national programs and policies on food and nutrition security. With demand for new thinking about how we improve agriculture for nutrition and growing international recognition of the role biodiversity, the 2030 Agenda for Sustainable Development presents an opportunity to move beyond business-as-usual to more holistic approaches to food and nutrition security.

FAO/INFOODS e-Learning Course on Food Composition Data.

The FAO/INFOODS e-Learning Course on Food Composition Data was developed to close existing knowledge gaps on food composition of professionals working with those data. It covers the important aspects of food composition, is based on instructional design, is highly interactive and comprises 14 lessons of approximate 10h duration. It was developed primarily for usage in universities, but also suits self-paced learning and blended learning programmes. It is available at: http://www.fao.org/infoods/infoods/training/en/ free-of-charge in English, as on-line version or CD-ROM. Feedback from users was very positive and universities start to incorporate it into their curricula. The translation into other languages and the implementation of a certification and assessment programme are envisaged. e-Learning is cost-effective and reaches a wide audience. The course is expected to contribute to the improved data quality, usage, generation, publication and appreciation of food composition data.

Thirty years of progress in harmonizing and compiling food data as a result of the establishment of INFOODS.

The International Network of Foods Data Systems (INFOODS) has provided leadership on the development and use of food composition data for over 30years. The mission of INFOODS is the promotion of international participation, cooperation and harmonization in the generation, compilation and dissemination of adequate and reliable data on the composition of foods, beverages, and their ingredients in forms appropriate to meet the needs of various users. Achievements include the development of guidelines and standards, increased capacity development in generating and compiling food composition data, a food composition database management system, improvements in laboratory quality assurance, and development of several food composition databases and tables. Recently, INFOODS has led efforts to define and document food biodiversity. As new foods and food components come into prominence, and as analytical methods evolve, the activities of INFOODS will continue to advance the quality and quantity of food composition data globally into the future.

Assessment of the nutritional composition of quinoa (Chenopodium quinoa Willd.).

Quinoa (Chenopodium quinoa Willd.) is an ancient crop which can play an important role for worldwide food security. The current review aimed at evaluating existing compositional data which were compiled according to international standards. A limited number of data were found that met the dataset quality criteria. In general, high variations in nutrient contents of quinoa were observed per 100g edible portion on fresh weight basis, for example: protein (9.1-15.7g), total fat (4.0-7.6g) and dietary fiber (8.8-14.1g). The variations of nutrient values among different varieties and among different data sources were considerable. The results show the nutritional potential of quinoa but they also demonstrate that more high-quality analytical data of quinoa are needed, especially for minerals and vitamins.

Review of food composition data for edible insects.

Edible insects are considered rich in protein and a variety of micronutrients, and are therefore seen as potential contributors to food security. However, the estimation of the insects' contribution to the nutrient intake is limited since data are absent in food composition tables and databases. Therefore, FAO/INFOODS collected and published analytical data from primary sources with sufficient quality in the Food Composition Database for Biodiversity (BioFoodComp). Data were compiled for 456 food entries on insects in different developmental stages. A total of 5734 data points were entered, most on minerals and trace elements (34.8%), proximates (24.5%), amino acids (15.3%) and (pro)vitamins (9.1%). Data analysis of Tenebrio molitor confirms its nutritive quality that can help to combat malnutrition. The collection of data will assist compilers to incorporate more insects into tables and databases, and to further improve nutrient intake estimations.

Improving food composition data quality: Three new FAO/INFOODS guidelines on conversions, data evaluation and food matching.

Food composition data play a key role in many sectors and the availability of quality data is critically important. Since 1984, the International Network of Food Data Systems (INFOODS) has been working towards improving food composition data quality and availability, including the development and updating of standards, guidelines and tools for food composition. FAO/INFOODS has recently published three comprehensive guidelines to improve and harmonise the compilation of data: (1) Guidelines for Food Matching, (2) Guidelines for Checking Food Composition Data prior to Publication of a User Table/Database, and (3) Guidelines for Converting Units, Denominators and Expressions. This article describes their content and development processes. Their adoption, along with additional ones planned for the future by FAO/INFOODS, should further improve the quality of published food composition data, which in turn can lead to more accurate nutrient intake estimates and more precise food labels, as well as better-targeted programs and policies.

Report on the development of the FAO/INFOODS user database for fish and shellfish (uFiSh) - Challenges and possible solutions.

Reliable food composition data are required for virtually all nutrition-related programs and policies. In many food composition tables, fish are included to a limited extent. Therefore, FAO/INFOODS decided to compile and publish a user databases for fish and shellfish (uFiSh), considering the following main objectives: to develop a global database for fish, crustaceans and molluscs with raw, cooked and processed foods; to base the database preferable on analytical data; to include major as well as minor species consumed; and to capture intra-species variation due to habitat, edible part, season or region. The development of the uFiSh is based on FAO/INFOODS international standards and guidelines. The paper describes challenges and possible solution of data compilation specific to fish and shellfish, as well as the uFiSh in terms of its structure, including coverage of nutrients, documentation and format of publication. The first edition is intended to be published in 2015.

Impact of dietary fiber energy on the calculation of food total energy value in the Brazilian Food Composition Database.

Dietary fiber (DF) contributes to the energy value of foods and including it in the calculation of total food energy has been recommended for food composition databases. The present study aimed to investigate the impact of including energy provided by the DF fermentation in the calculation of food energy. Total energy values of 1753 foods from the Brazilian Food Composition Database were calculated with or without the inclusion of DF energy. The energy values were compared, through the use of percentage difference (D%), in individual foods and in daily menus. Appreciable energy D% (⩾10) was observed in 321 foods, mainly in the group of vegetables, legumes and fruits. However, in the Brazilian typical menus containing foods from all groups, only D%<3 was observed. In mixed diets, the DF energy may cause slight variations in total energy; on the other hand, there is appreciable energy D% for certain foods, when individually considered.

Dietary exposure and health risk assessment for 14 toxic and essential trace elements in Yaoundé: the Cameroonian total diet study.

Dietary exposure to trace elements (aluminium, antimony, barium, cadmium, lead, nickel, vanadium, copper, manganese, molybdenum, germanium, lithium, strontium and tellurium) was assessed by the total diet study (TDS) method. Sixty-four pooled samples representing 96.5% of the diet in Yaoundé, Cameroon, were prepared "as consumed" before analysis. Consumption data were sourced from a households' budget survey. Dietary exposures were compared with health-based guidance or nutritional values and to worldwide TDS results. The health-based guidance value was exceeded by ≤ 0.2% of the study population for aluminium, antimony, barium, cadmium, nickel and vanadium. For lead, the observed 95th percentile of exposure (3.05 µg kg(-1) body weight day(-1)) equals the critical value considered by JECFA for cardiovascular effects; therefore, risk to health cannot be excluded for certain consumer groups. The population at risk of excess intake for manganese, copper, molybdenum and nickel was considered to be low (≤ 0.3%). The prevalence of inadequate intake was estimated at 5.9% for copper and was nil for molybdenum. Due to the lack of toxicological and/or nutritional consistent data to perform a risk assessment, dietary exposures to germanium, lithium, strontium and tellurium were provided as supplementary data. The food groups highest contributors to exposure were "tubers and starches" for aluminium (27%), lead (39%) and copper (26%), "cereals and cereal products" for cadmium (54%) and manganese (35%), "fruits, vegetables and oilseeds" for barium (34%), molybdenum (49%) and nickel (31%), "beverages" for antimony (27%) and "fish" for vanadium (43% - lower bound). Measures should be recommended to maintain low levels of exposure before the problem could become an important health or trade issue.

Proposal on the usage of conversion factors for fatty acids in fish and shellfish.

Different approaches for converting fatty acid (FA) data in fish and shellfish expressed as weight percent of total FA or of total lipid content (TL) to per 100g edible portion fresh weight (EP) are used. FAO/INFOODS studied on a dataset of 668 fish and shellfish firstly the impact on their FA and TL content per 100g EP using two fatty acid conversion factors, namely the factors published by Weihrauch et al. (XFAW) and Greenfield and Southgate (XFAGS), and secondly the usefulness of Sheppard factors (ShF), which convert fatty acid methyl esters to fatty acids. The data show that XFAW should be used as they are applicable to fish and shellfish and the resulting FA values are a continuous function of the TL content while applying a minimum TL value of 0.55 g/100 g EP even for lower TL values. This study showed that the use of ShF is not necessary for fish and shellfish as they do not influence fatty acid values significantly.

Review of availability of food composition data for fish and shellfish.

The FAO/INFOODS database on fish and shellfish (aFiSh) is a collection of analytical data from primary sources and holds values for 2,277 entries on raw and processed food with sufficient quality. Most data were entered on fatty acids (60%), followed by macronutrients and their fractions (16%), minerals (10%), amino acids (7%), (pro)vitamins (2%), heavy metals (2%) and other components (3%). Information on several factors that contribute to the variation of compositional data (e.g., biodiversity, catch season, habitat, size and part of fish/shellfish analysed) as well as the bibliographic references are presented alongside with each food entry. The data were published in the FAO/INFOODS Food Composition Database for Biodiversity (BioFoodComp2.0) and in the FAO/INFOODS Analytical Food Composition Database (AnFooD1.0), freely available at the INFOODS webpage http://www.fao.org/infoods/biodiversity/index_en.stm. The provision of easy accessible, analytical compositional data should be seen as stimulation for researchers and compilers to incorporate more analytical and detailed data of fish and shellfish into future food composition tables and databases and to improve dietary assessment tools.

Nutrient composition of selected indigenous fruits from sub-Saharan Africa.

Indigenous fruits constitute an important part of human diets in many sub-Saharan African countries, particularly in rural areas and during droughts. In order to promote and expand the utilisation of these fruits, knowledge on their nutritional composition is essential. This review presents the results of a literature research of the nutritional composition of ten selected indigenous fruits from sub-Saharan Africa. Species were selected based on their current importance as well as their future potential for nutrition, processing and cash income generation. Compositional data were compiled and mean values of components per species were calculated. Most papers were compiled for Adansonia digitata (26) and Dacryodes edulis (16), followed by Tamarindus indica (ten), Balanites aegyptiaca (nine), Sclerocarya birrea (nine), Ziziphus mauritiana (nine), Vitex doniana (seven) and Irvingia gabonensis (five), and least for Uapaca kirkiana (three) and Syzygium guineense (three). Fruits were found to be mainly analysed for macronutrients and minerals. Vitamins, apart from vitamin C, were rarely reported. Substantial compositional differences were found among as well as within the different fruit species. The results of this study emphasise the need to generate more high-quality data on a wider spectrum of components of the selected indigenous fruits in sub-Saharan Africa.