Dikmen Derya, Kızıl Mevlüde, Uyar Muhemmet Fatih, Pekcan Gülden
Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey.
Cent Eur J Public Health. 2015 Jun;23(2):155-60. doi: 10.21101/cejph.a3992.
The objective of this study was to evaluate the nutrient profile of labelled foods and also understand the application of two international nutrient profiling models of labelled foods and beverages.
WXYfm and NRF 9.3 nutrient profiling models were used to evaluate 3,171 labelled foods and beverages of 38 food categories and 500 different brands.
According to the WXYfm model, pasta, grains and legumes and frozen foods had the best scores whereas oils had the worst scores. According to the NRF 9.3 model per 100 kcal, the best scores were obtained for frozen foods, grains and legumes and milk products whereas the confectionery foods had the worst scores. According to NRF 9.3 per serving size, grains and legumes had the best scores and flavoured milks had the worst scores. A comparison of WXYfm and NRF 9.3 nutrient profiling models ranked scores showed a high positive correlation (p=0.01).
The two nutrient models evaluated yielded similar results. Further studies are needed to test other category specific nutrient profiling models in order to understand how different models behave.
本研究的目的是评估标签食品的营养成分，并了解两种国际标签食品和饮料营养成分分析模型的应用。
使用WXYfm和NRF 9.3营养成分分析模型对38个食品类别和500个不同品牌的3171种标签食品和饮料进行评估。
根据WXYfm模型，面食、谷物和豆类以及冷冻食品得分最高，而油类得分最低。根据NRF 9.3模型每100千卡计算，冷冻食品、谷物和豆类以及奶制品得分最高，而糖果类食品得分最低。根据NRF 9.3每份计算，谷物和豆类得分最高，调味牛奶得分最低。WXYfm和NRF 9.3营养成分分析模型得分的比较显示出高度正相关（p=0.01）。
所评估的两种营养模型产生了相似的结果。需要进一步研究来测试其他特定类别的营养成分分析模型，以了解不同模型的表现。
Zotero 插件