Nguyen Phuong Hong, Martin-Prevel Yves, Moursi Mourad, Tran Lan Mai, Menon Purnima, Ruel Marie T, Arimond Mary
International Food Policy Research Institute, Washington, DC, USA.
Nutripass, Université de Montpellier, Research Institute for Development (IRD), SupAgro, Montpellier, France.
Curr Dev Nutr. 2019 Nov 18;4(1):nzz134. doi: 10.1093/cdn/nzz134. eCollection 2020 Jan.
The Minimum Dietary Diversity for Women (MMD-W) was validated as a proxy of micronutrient adequacy for nonpregnant women, with proposed data collection being either a list-based or a qualitative open recall method. Few studies have compared the performance of these 2 methods.
We compared performance in predicting micronutrient adequacy of food group indicators (FGIs) measured by the list-based and the quantitative open recall methods using varying quantity cut-offs. We also examined the agreement between list-based and open recall FGIs.
Data were collected in Bangladesh ( = 600 pregnant women) and India ( = 655). The performance of different indicators to predict micronutrient adequacy was compared using receiver operating characteristic (ROC) analysis. Correlations between list-based and open recall FGIs were calculated using Spearman's rank test; agreement was assessed by the intraclass correlation coefficient (ICC) and kappa statistics. Food groups that were most often misreported by the list-based method were identified.
There were no statistically significant differences in ROC curves between list-based and open recall FGIs in either country. In Bangladesh, correlations between list-based and open recall FGIs varied between 0.6 and 0.8; ICC values were 0.43-0.75; kappa values were 0.51-0.53 when using a cut-off of any quantity or 15 g for open recall, but were lower (k = 0.24) with the cut-off of 1 portion. In India, these values were lower: ∼0.4 for correlation, 0.32-0.37 for ICCs, and 0.17-0.22 for kappas. Food groups most susceptible to misreporting using the list-based method were beans/peas in Bangladesh and other vegetables in India.
Our study provides initial support for the use of list-based questionnaires in assessing food group diversity or prevalence of MDD-W in pregnant women. Additional and context-specific work may be required to understand the potential of simple methodologies to assess consumption of specific food groups. This trial was registered at clinicaltrials.gov as NCT02745249 (Bangladesh) and NCT03378141 (India).
女性最低膳食多样性（MMD-W）已被确认为非孕期女性微量营养素充足状况的一个替代指标，建议的数据收集方式为基于列表法或定性开放式回忆法。很少有研究比较这两种方法的性能。
我们比较了基于列表法和定量开放式回忆法在使用不同数量临界值时预测食物组指标（FGIs）微量营养素充足状况的性能。我们还检验了基于列表法和开放式回忆FGIs之间的一致性。
在孟加拉国（n = 600名孕妇）和印度（n = 655名孕妇）收集数据。使用受试者工作特征（ROC）分析比较不同指标预测微量营养素充足状况的性能。使用Spearman秩相关检验计算基于列表法和开放式回忆FGIs之间的相关性；通过组内相关系数（ICC）和kappa统计量评估一致性。确定基于列表法最常误报的食物组。
在两个国家中，基于列表法和开放式回忆FGIs的ROC曲线均无统计学显著差异。在孟加拉国，基于列表法和开放式回忆FGIs之间的相关性在0.6至0.8之间；ICC值为0.43 - 0.75；当开放式回忆的临界值为任何数量或15克时，kappa值为0.51 - 0.53，但当临界值为1份时则较低（k = 0.24）。在印度，这些值较低：相关性约为0.4，ICC为0.32 - 0.37，kappa为0.17 - 0.22。在孟加拉国使用基于列表法最易误报的食物组是豆类/豌豆，在印度是其他蔬菜。
我们的研究为使用基于列表的问卷评估孕妇食物组多样性或MMD-W患病率提供了初步支持。可能需要开展更多针对具体情况的工作，以了解简单方法在评估特定食物组摄入量方面的潜力。该试验在clinicaltrials.gov上注册，注册号为NCT02745249（孟加拉国）和NCT03378141（印度）。
