- Chair Nutrition and Health over the Lifecourse (5)
- Global Nutrition (5)
- HNE Nutrition and Health over the Lifecourse (5)
- Human Nutrition (5)
- Human Nutrition & Health (5)
- Human Nutrition (HNE) (5)
- VLAG (5)
- Chair Nutrition and Disease (2)
- HNE Nutrition and Disease (2)
- Nutrition and Disease (2)
- Consumer Science & Health (1)
- FBR Consumer Science & Health (1)
- Food, Health & Consumer Research (1)
- RIKILT - Business Unit Safety & Health (1)
- Rikilt B&T Toxicologie en Effectanalyse (1)
- Esmee Doets (1)
- L. Elburg (5)
- Lucy Elburg (1)
- F. Erdelmann (1)
- Umi Famida (1)
- G.I.J. Feunekes (1)
- P.C.H. Hollman (2)
- Le Hong Dung (1)
- J. Houwen (1)
- P.J.M. Hulshof (4)
- Paul Hulshof (1)
- Abas Jahari (1)
- Sengchanh Kounnavong (1)
- Alida Melse-Boonstra (1)
- Siti Muslimatun (1)
- Nazarina Nazarudin (1)
- Verena Nowak (1)
- Sri Prihatini (1)
- Nipa Rojroongwasinkul (1)
- Otte Santika (1)
- Sok Seyha (1)
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- Manithong Vonglokham (1)
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- C. Witthöft (1)
Food Composition Tables in Southeast Asia : The Contribution of the SMILING Project
Hulshof, Paul ; Doets, Esmee ; Seyha, Sok ; Bunthang, Touch ; Vonglokham, Manithong ; Kounnavong, Sengchanh ; Famida, Umi ; Muslimatun, Siti ; Santika, Otte ; Prihatini, Sri ; Nazarudin, Nazarina ; Jahari, Abas ; Rojroongwasinkul, Nipa ; Chittchang, Uraiporn ; Mai, Le Bach ; Dung, Le Hong ; Lua, Tran Thi ; Nowak, Verena ; Elburg, Lucy ; Melse-Boonstra, Alida ; Brouwer, Inge - \ 2019
Maternal and Child Health 23 (2019)1. - ISSN 1092-7875 - p. 46 - 54.
Capacity building - Data quality - Food composition - Nutrient data - SMILING project
Objectives Food composition data are key for many nutrition related activities in research, planning and policy. Combatting micronutrient malnutrition among women and young children using sustainable food based approaches, as aimed at in the SMILING project, requires high quality food composition data. Methods In order to develop capacity and to align procedures for establishing, updating and assessing the quality of key nutrient data in the food composition tables in Southeast Asia, a detailed roadmap was developed to identify and propose steps for this. This included a training workshop to build capacity in the field of food composition data, and alignment of procedures for selecting foods and nutrients to be included for quality assessment, and update of country specific food composition tables. The SEA partners in the SMILING project finalised a country specific food composition table (FCT) with updated compositional data on selected foods and nutrients considered key for designing nutrient dense and optimal diets for the target groups. Results Between 140 and 175 foods were selected for inclusion in the country specific FCTs. Key-nutrients were: energy, protein, total fat, carbohydrates, iron, zinc, (pro-)-vitamin A, folate, calcium, vitamin D, vitamin B1, vitamin B2, vitamin B3, vitamin B6, vitamin B12 and vitamin C. A detailed quality assessment on 13 key-foods per nutrient was performed using international guidelines. Nutrient data for specific local food items were often unavailable and data on folate, vitamin B12 and vitamin B6 contents were mostly missing. For many foods, documentation was not available, thereby complicating an in-depth quality assessment. Despite these limitations, the SMILING project offered a unique opportunity to increase awareness of the importance of high quality well documented food composition data. Conclusion for Practise The self-reported data quality demonstrated that there is considerable room for improvement of the nutrient data quality in some countries. In addition, investment in sustainable capacity development and an urgent need to produce and document high quality data on the micronutrient composition of especially local foods is required.
Nutrient analysis explained for non-chemists by using interactive e-learning material
Busstra, M.C. ; Hulshof, P.J.M. ; Houwen, J. ; Elburg, L. ; Hollman, P.C.H. - \ 2012
Journal of Food Composition and Analysis 25 (2012)1. - ISSN 0889-1575 - p. 88 - 95.
instructional-design - quality
The diverse educational and professional background of individuals involved in food composition data work presents challenges in their training. In particular, it is difficult to explain chemical analysis of nutrients to individuals lacking a background in chemistry. Therefore an interactive e-learning module entitled “Nutrient Analysis for Non-chemists” was developed. Interactive e-learning provides a powerful set of tools to stimulate a learning process tailored to the needs and background of course members. In its design, specific aims derived from theories on learning and instruction were first formulated: motivate the student; provide an authentic learning context; visualize important concepts; promote active learning; and avoid unnecessary cognitive load. The e-learning module developed contains a large variety of interactive exercises, animations, and background information. The following four topics or cases were elaborated: Fats and Fatty Acids, Proteins and Amino Acids, Carbohydrates and Fiber, and Elements. In diverse educational settings, the module was evaluated by course members of postgraduate courses who highly appreciated it with an overall score of 4.5 on a 5-point scale. The e-learning module that was developed can be nicely integrated into a blended learning course on food composition data. However, it is also very well suited for individual distance learning
Training aspects in the use and production of food composition databases. The EuroFIR experience.
Hollman, P.C.H. ; Witthöft, C. ; Busstra, M.C. ; Elburg, L. ; Hulshof, P.J.M. - \ 2009
Food Chemistry 113 (2009)3. - ISSN 0308-8146 - p. 842 - 845.
An increasing number of national food databases have been published on the internet. However, these internet databases can only be searched individually, and the data have been compiled at a national level, resulting in incompatibilities. To resolve these problems, the Network of Excellence EuroFIR develops an internet based platform for online access to various national authoritative sources of food composition data in Europe. Training is essential for its use, and for the development of harmonised procedures of data production, evaluation, compilation, and retrieval. The training program developed within EuroFIR consists of individual training, supported by exchange grants, and a collection of workshops and training courses. Supportive E-learning modules are under construction. Procedures for the evaluation of each training activity have been made to measure its efficacy, and to learn about new training needs. Attention is given to special training needs of compilers in central and eastern European countries.
European Food Information Resource (EuroFIR) Training & Associated Activities
Hulshof, P.J.M. ; Elburg, L. - \ 2006
Manual for the determination of retinol and carotenoids in blood en human milk
Elburg, L. ; Hulshof, P.J.M. ; West, C.E. - \ 2003
|Validity of dietary questionnaires in studies on nutrition and heart disease.
Staveren, W.A. van; Feunekes, G.I.J. ; Elburg, L. ; Erdelmann, F. - \ 1992
Bibliotheca Nutritio et Dieta 49 (1992). - ISSN 0067-8198 - p. 47 - 58.