Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Nutrition and Food Security Research Center, Department of Food Science and Technology, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
J Res Health Sci. 2024 Jun 1;24(2):e00616. doi: 10.34172/jrhs.2024.151.
Regarding the importance of the prevention of non-communicable diseases (NCDs) and higher consumption of salt among the Iranian population than the level recommended by the World Health Organization, the aim of this study was to evaluate the accuracy of the salt mentioned in the traffic light labelling of nuts and seeds. A cross-sectional study.
A total of 53 packaged nuts and seeds, including 7, 8, 9, 9, 10, and 10 samples of pumpkin, pistachios, almond, sunflower, peanut, and watermelon nuts and seeds, respectively, with traffic light labelling, were randomly purchased from several local markets in Isfahan, Iran. The amount of sodium was measured by the inductively coupled plasma-optical emission spectroscopy technique and then multiplied by 2.5 to achieve the amount of salt.
Varying levels of traffic light labeling value accuracy were observed in most of the samples. In the almond, pistachio, peanut, and watermelon groups, the average amount of laboratory value had a statistically significant difference with the label value (<0.05).
The results demonstrated that the salt content of 82% of the studied samples had discrepancies with the values stated on the traffic light labelling. The presentation of an accurate amount of salt content is essential for promoting healthy eating habits and enabling individuals to make informed choices about their diet. It is recommended that regulatory authorities should review labelling guidelines and enforce stricter compliance to ensure accurate representation of salt content on packaged foods.
鉴于非传染性疾病(NCDs)预防的重要性,以及伊朗人口的盐摄入量高于世界卫生组织建议的水平,本研究旨在评估坚果和种子类食品中红绿灯标签上标注的盐含量的准确性。这是一项横断面研究。
本研究从伊朗伊斯法罕市的多个当地市场随机购买了 53 份包装好的坚果和种子,包括南瓜、开心果、杏仁、葵花籽、花生和西瓜籽等 7、8、9、9、10 和 10 个样本,这些产品均带有红绿灯标签。采用电感耦合等离子体-光学发射光谱技术测量钠含量,然后将其乘以 2.5 以获得盐含量。
在大多数样本中,红绿灯标签值的准确性存在差异。在杏仁、开心果、花生和西瓜组中,实验室值的平均值与标签值存在统计学差异(<0.05)。
研究结果表明,82%的研究样本的盐含量与红绿灯标签上标注的数值存在差异。准确标注盐含量对于促进健康饮食习惯和使人们能够明智地选择饮食非常重要。建议监管机构审查标签指南并加强合规性,以确保包装食品上准确表示盐含量。