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
Division of Human Nutrition, Wageningen University, P.O. Box 17, 6700 AA, Wageningen, The Netherlands.
Wageningen Food & Biobased Research, Wageningen University and Research Centre, Wageningen, The Netherlands.
Matern Child Health J. 2019 Jan;23(Suppl 1):46-54. doi: 10.1007/s10995-018-2528-8.
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.
目标 食物成分数据是研究、规划和政策等许多与营养相关活动的关键。如微笑项目所旨在实现的，采用可持续的基于食物的方法来应对妇女和幼儿中的微量营养素营养不良问题，需要高质量的食物成分数据。方法 为了培养能力并统一东南亚食物成分表中关键营养素数据的建立、更新和质量评估程序，制定了一份详细路线图来确定并提出相关步骤。这包括举办一次培训研讨会，以培养食物成分数据领域的能力，统一选择纳入质量评估的食物和营养素的程序，以及更新各国特定的食物成分表。微笑项目中的东南亚合作伙伴最终确定了一份各国特定的食物成分表（FCT），其中包含了选定食物和营养素的更新成分数据，这些食物和营养素被认为是为目标群体设计营养密集型和最佳饮食的关键。结果 各国特定的食物成分表中选择纳入了140至175种食物。关键营养素包括：能量、蛋白质、总脂肪、碳水化合物、铁、锌、（原）维生素A、叶酸、钙、维生素D、维生素B1、维生素B2、维生素B3、维生素B6、维生素B12和维生素C。使用国际准则对每种营养素的13种关键食物进行了详细的质量评估。特定本地食物项目的营养素数据往往不可得，叶酸、维生素B12和维生素B6含量的数据大多缺失。对于许多食物，缺乏相关文档，这使得深入的质量评估变得复杂。尽管存在这些限制，微笑项目提供了一个独特的机会，以提高人们对高质量且有充分记录的食物成分数据重要性的认识。实践结论 自我报告的数据质量表明，一些国家的营养素数据质量有相当大的改进空间。此外，需要投资于可持续的能力发展，并且迫切需要生成并记录特别是本地食物的微量营养素成分的高质量数据。
