Wondafrash Mekitie, Huybregts Lieven, Lachat Carl, Bouckaert Kimberley P, Kolsteren Patrick
1Department of Population and Family Health,College of Public Health and Medical Sciences,Jimma University,PO Box 378,Jimma,Ethiopia.
2Department of Food Safety and Food Quality, Faculty of Bioscience Engineering,Ghent University,Ghent,Belgium.
Public Health Nutr. 2016 Oct;19(14):2485-94. doi: 10.1017/S1368980016000525. Epub 2016 Apr 4.
Simple, cost-effective and convenient instruments like food group-based scores are proposed to assess micronutrient adequacy of children in developing countries. We assessed the predictive ability and seasonal stability of a dietary diversity score (DDS) to indicate dietary quality of infants.
A 24 h dietary recall assessment was carried out on a sample of 320 and 312 breast-fed infants aged 6-12 months during harvest (HS) and pre-harvest (PHS) seasons, respectively, in Ethiopia. DDS was calculated based on seven food groups, while mean micronutrient density adequacy (MMDA) was calculated for eight micronutrients. Multiple linear regression models were used to assess the relationship between DDS and MMDA, and differences in nutrient intake between the two seasons. A receiver-operating characteristic curve analysis was performed to derive DDS cut-offs that maximized sensitivity and specificity of assessing dietary quality.
The study was conducted in the catchment of the Gilgel Gibe Field Research Centre of Jimma University, south-west Ethiopia.
The mean (sd) DDS for HS and PHS was 2·1 (0·94) and 2·3 (1·1), respectively. The DDS was associated with MMDA (β=0·045, P<0·0001 in HS; β=0·044, P<0001 in PHS). A DDS of ≤2 food groups best predicted 'low' MMDA (<50 %) with 84 % and 92 % sensitivity, 36 % and 43 % specificity, and 47 % and 51 % correct classification for the HS and PHS, respectively.
DDS is predictive of dietary quality of breast-fed infants. The study supports the use of DDS to indicate inadequate intakes of micronutrients by breast-fed infants in different seasons.
有人提议使用基于食物组的简单、经济高效且便捷的工具，如食物组评分，来评估发展中国家儿童的微量营养素充足情况。我们评估了饮食多样性评分（DDS）对婴儿饮食质量的预测能力和季节稳定性。
在埃塞俄比亚，分别对320名和312名6至12个月大的母乳喂养婴儿进行了24小时饮食回顾评估，样本采集时间分别为收获季节（HS）和收获前季节（PHS）。基于七个食物组计算DDS，同时针对八种微量营养素计算平均微量营养素密度充足率（MMDA）。使用多元线性回归模型评估DDS与MMDA之间的关系，以及两个季节之间营养素摄入量的差异。进行了受试者工作特征曲线分析，以得出能使评估饮食质量的敏感性和特异性最大化的DDS临界值。
该研究在埃塞俄比亚西南部吉马大学吉尔吉尔吉贝田间研究中心的集水区进行。
HS和PHS的平均（标准差）DDS分别为2.1（0.94）和2.3（1.1）。DDS与MMDA相关（HS中β = 0.045，P < 0.0001；PHS中β = 0.044，P < 0.0001）。食物组数量≤2的DDS对“低”MMDA（<50%）的预测效果最佳，HS和PHS的敏感性分别为84%和92%，特异性分别为36%和43%，正确分类率分别为47%和51%。
DDS可预测母乳喂养婴儿的饮食质量。该研究支持使用DDS来表明不同季节母乳喂养婴儿微量营养素摄入不足的情况。
