Borgonjen-van den Berg Karin J, de Vries Jeanne H M, Chopera Prosper, Feskens Edith J M, Brouwer Inge D
Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands.
Department of Nutrition Dietetics and Food Science, Faculty of Science, University of Zimbabwe, Mt Pleasant, Harare P.O. Box MP 167, Zimbabwe.
Nutrients. 2021 Sep 30;13(10):3485. doi: 10.3390/nu13103485.
Food-based recommendations (FBR) developed using linear programming generally use dietary intake and energy and nutrient requirement data. It is still unknown to what extent the availability and selection of these data affect the developed FBR and identified problem nutrients. We used 24 h dietary recalls of 62 Kenyan children (4-6 years of age) to analyse the sensitivity of the FBR and problem nutrients to (1) dietary intake data, (2) selection criteria applied to these data and (3) energy and nutrient requirement data, using linear programming (Optifood©), by comparing a reference scenario with eight alternative scenarios. Replacing reported by estimated consumption frequencies increased the recommended frequencies in the FBR for most food groups while folate was no longer identified as a problem nutrient. Using the 10-90th instead of the 5-95th percentile of distribution to define minimum and maximum frequencies/week decreased the recommended frequencies in the FBR and doubled the number of problem nutrients. Other alternative scenarios negligibly affected the FBR and identified problem nutrients. Our study shows the importance of consumption frequencies for developing FBR and identifying problem nutrients by linear programming. We recommend that reported consumption frequencies and the 5-95th percentiles of distribution of reported frequencies be used to define the minimum and maximum frequencies.
使用线性规划制定的基于食物的建议（FBR）通常会使用膳食摄入量以及能量和营养素需求数据。目前尚不清楚这些数据的可得性和选择在多大程度上会影响所制定的FBR以及所确定的问题营养素。我们利用62名肯尼亚儿童（4至6岁）的24小时膳食回顾，通过将一个参考情景与八个替代情景进行比较，运用线性规划（Optifood©）来分析FBR和问题营养素对以下方面的敏感性：（1）膳食摄入量数据；（2）应用于这些数据的选择标准；（3）能量和营养素需求数据。用估计的消费频率取代报告的消费频率，会增加FBR中大多数食物组的推荐频率，同时叶酸不再被认定为问题营养素。使用分布的第10 - 90百分位数而非第5 - 95百分位数来定义每周的最低和最高频率，会降低FBR中的推荐频率，并使问题营养素的数量翻倍。其他替代情景对FBR和所确定的问题营养素影响可忽略不计。我们的研究表明了消费频率对于通过线性规划制定FBR和确定问题营养素的重要性。我们建议使用报告的消费频率以及报告频率分布的第5 - 95百分位数来定义最低和最高频率。
