期刊论文详细信息
Public Health Nutrition
Contribution to the development of a food guide in Benin: linear programming for the optimization of local diets
Victoire Agueh1  Hélène Delisle1  Sarah Levesque1 
关键词: Food guide;    Food-based dietary guidelines;    Linear programming;    Africa;   
DOI  :  10.1017/S1368980014000706
学科分类:卫生学
来源: Cambridge University Press
PDF
【 摘 要 】

AbstractObjectiveFood guides are important tools for nutrition education. While developing a food guide in Benin, the objective was to determine the daily number of servings per food group and the portion sizes of common foods to be recommended.DesignLinear programming (LP) was used to determine, for each predefined food group, the optimal number and size of servings of commonly consumed foods. Two types of constraints were introduced into the LP models: (i) WHO/FAO Recommended Nutrient Intakes and dietary guidelines for the prevention of chronic diseases; and (ii) dietary patterns based on local food consumption data recently collected in southern Benin in 541 adults. Dietary intakes of the upper tertile of participants for diet quality based on prevention and micronutrient adequacy scores were used in the LP algorithms.SettingSouthern area of the Republic of Benin.SubjectsLocal key-players in nutrition (n 30) from the government, academic institutions, international organizations and civil society were partners in the development of the food guide directed at the population.ResultsThe number of servings per food group and the portion size for eight age–sex groups were determined. For four limiting micronutrients (Fe, Ca, folate and Zn), local diets could be optimized to meet only 70 % of the Recommended Nutrient Intakes, not 100 %.ConclusionsIt was possible to determine the daily number of servings and the portion sizes of common foods that can be recommended in Benin with the help of LP to optimize local diets, although Recommended Nutrient Intakes were not fully met for a few critical micronutrients.

【 授权许可】

Unknown   

【 预 览 】
附件列表
Files Size Format View
RO201911300051973ZK.pdf 184KB PDF download
  文献评价指标  
  下载次数:11次 浏览次数:5次