Correa Guzmán Nathalia, Calvo Betancur Víctor Daniel, Sepúlveda Herrera Diana María, Cárdenas Sánchez Diana Liseth, Manjarrés Correa Luz Mariela
School of Nutrition and Dietetics, University of Antioquia (Universidad de Antioquia), Medellín051054, Colombia.
Research Group on Food and Human Nutrition, Medellín, Colombia.
Public Health Nutr. 2022 Apr 8;25(10):1-11. doi: 10.1017/S1368980022000854.
To validate a Food Diversity Questionnaire (CDA, for its name in Spanish) that identifies the prevalence of the risk of deficiency in the intake of eleven micronutrients.
The CDA paper form, an online application for data entry and handling, was designed and compared with the 24-h recall (24HR) as a reference method. All data were processed in Personal Computer Software for Intake Distribution Estimation (PC-SIDE) v1 software. A descriptive analysis and comparisons between prevalence, concordance and reproducibility analyses were performed.
Medellín, Colombia.
Women of childbearing age between 19 and 50 years ( 186) who worked for the Buen Comienzo programme in 2019.
When comparing the adjusted 24HR technique and the CDA, there was no significant difference in population-level data at risk of deficiency in any micronutrient intake. However, based on individual-level data of the best linear unbiased predictor, the concordance analyses were weak, and although agreements were high according to the diagnostic performance tests, a good ability to detect deficiency was only observed in a few nutrients: vitamin A 100·0 %, Ca 98·7 %, Fe 92·8 %, folates 91·6 %, and pyridoxine 81·8 %.
The CDA validated in this study is useful and faster at evaluating population-level data at risk of deficiency in the intake of Ca, Fe, Zn, thiamine, riboflavin, niacin, pyridoxine, folates, vitamin B, vitamin C and vitamin A. Based on individual-level data, a good ability to detect deficiencies was observed in the intake of vitamin A, Ca, Fe, folates and pyridoxine.
验证一份食物多样性问卷（西班牙语名称为CDA），该问卷用于确定11种微量营养素摄入不足风险的流行情况。
设计了CDA纸质表格以及用于数据录入和处理的在线应用程序，并与作为参考方法的24小时回顾法（24HR）进行比较。所有数据均在个人计算机软件“摄入量分布估计软件（PC-SIDE）”v1版中进行处理。进行了描述性分析以及流行率、一致性和可重复性分析之间的比较。
哥伦比亚麦德林。
2019年参与“良好开端”计划的19至50岁育龄妇女（186名）。
比较调整后的24HR技术和CDA时，在任何微量营养素摄入不足风险的人群水平数据上均无显著差异。然而，基于最佳线性无偏预测器的个体水平数据，一致性分析结果较弱，尽管根据诊断性能测试一致性较高，但仅在少数营养素中观察到良好的缺乏检测能力：维生素A为100.0%、钙为98.7%、铁为92.8%、叶酸为91.6%、吡哆醇为81.8%。
本研究中验证的CDA在评估钙、铁、锌、硫胺素、核黄素、烟酸、吡哆醇、叶酸、维生素B、维生素C和维生素A摄入不足风险的人群水平数据方面是有用且快速的。基于个体水平数据，在维生素A、钙、铁、叶酸和吡哆醇的摄入中观察到良好的缺乏检测能力。
