Suppr超能文献

孟加拉国常见的加工包装食品不健康,其营养成分与标签声明不符。

Commonly consumed processed packaged foods in Bangladesh are unhealthy and their nutrient contents are not in conformity with the label declaration.

作者信息

Shaheen Nazma, Shamim Abu Ahmed, Choudhury Sohel Reza, Sarwar Sneha, Ashraf Md Musharraf, Bahar Nisarga, Al Mamun Mohammad Abdullah, Sobhan Sheikh Mohammad Mahbubus, Abedin Md Joynul, Karim Md Rizwanul, Amin Mohammad Robed, Alim Abdul

机构信息

Institute of Nutrition and Food Science University of Dhaka Dhaka Bangladesh.

National Heart Foundation Hospital & Research Institute Dhaka Bangladesh.

出版信息

Food Sci Nutr. 2023 Oct 30;12(1):481-493. doi: 10.1002/fsn3.3772. eCollection 2024 Jan.

Abstract

The present study was undertaken to identify the major nutrient content in processed foods commonly consumed in Bangladesh, their label conformity healthiness, and percent daily nutrient contribution. Twenty-four nationally representative composite samples were analyzed using AOAC and other standard methods. Results were compared with label information using a restrictive approach and EU tolerance guidelines. The healthiness of the products was evaluated in terms of the Health Star Rating (HSR) scheme and the UK traffic light labeling system. Among the analyzed samples, fried pulse, chanachur, lozenge, and fried peas had the highest amount of protein, fat, carbohydrates, and dietary fiber, respectively. Biscuits and milk chocolate had high levels of trans fatty acids (TFA) and saturated fatty acids (SFA). It was observed that around half of the products lacked information about saturated fatty acid (46%), followed by total dietary fiber and trans-fat (38% each). Other information was missing in one-fifth of the products, namely protein (17%), total fat (17%), available carbohydrate (17%), energy (17%), sugar (21%), and salt (21%). Label compliance analysis according to the restrictive approach revealed that none of the products accurately reported the salt, sugar, saturated fat, and trans fat content on the label. According to the EU tolerance guideline, approximately half of the products had protein (58%), fat (54%), and carbohydrate (42%) levels that fell within the EU tolerance limit. However, only around one-third of the samples had sugar (21%), salt (38%), and saturated fat (33%) levels that met the EU tolerance limit. In terms of healthiness analysis, according to the HSR, the range of stars was between 0.5 and 2.5 of the foods where fried peas got the highest rating (2.5 stars), while in terms of the UK traffic light system, none of the samples got all green signals. The lozenge got green lights for fat, SFA, and salt contents. It was also found that consumption of 100 g of fried peas or pulse would exceed the acceptable daily limit of salt, sugar, and SFA compared to the daily maximum allowable intake for the 2000 kcal diet recommended by the WHO. However, according to the serving size, biscuits were major contributors of TFA, sugar, and SFA, whereas fried pulse was a key contributor of sodium/salt. Proper regulatory actions should be introduced to promote healthy processed foods with user-friendly front-of-the-pack labeling and monitor their quality to prevent non-communicable diseases (NCDs).

摘要

本研究旨在确定孟加拉国常见加工食品中的主要营养成分、其标签符合健康标准情况以及每日营养贡献百分比。使用美国官方分析化学师协会(AOAC)和其他标准方法对24个具有全国代表性的复合样本进行了分析。采用严格方法并参照欧盟耐受准则,将结果与标签信息进行了比较。根据健康星级评定(HSR)方案和英国红绿灯标签系统对产品的健康程度进行了评估。在所分析的样本中,油炸豆类、炸碎粒、含片和油炸豌豆分别含有最高量的蛋白质、脂肪、碳水化合物和膳食纤维。饼干和牛奶巧克力含有高水平的反式脂肪酸(TFA)和饱和脂肪酸(SFA)。据观察,约一半的产品缺少饱和脂肪酸信息(46%),其次是总膳食纤维和反式脂肪(各38%)。五分之一的产品缺少其他信息,即蛋白质(17%)、总脂肪(17%)、可利用碳水化合物(17%)、能量(17%)、糖(21%)和盐(21%)。根据严格方法进行的标签合规性分析表明,没有一种产品在标签上准确报告盐、糖、饱和脂肪和反式脂肪含量。根据欧盟耐受准则,约一半的产品蛋白质(58%)、脂肪(54%)和碳水化合物(42%)含量在欧盟耐受限度内。然而,只有约三分之一的样本糖(21%)、盐(38%)和饱和脂肪(33%)含量符合欧盟耐受限度。在健康程度分析方面,根据HSR,食品的星级范围在0.5至2.5之间,其中油炸豌豆评级最高(2.5星),而根据英国红绿灯系统,没有一个样本获得全绿信号。含片在脂肪、SFA和盐含量方面获得绿灯。还发现,与世界卫生组织推荐的2000千卡饮食的每日最大允许摄入量相比,食用100克油炸豌豆或豆类会超过盐、糖和SFA的可接受每日限量。然而,按每份食用量计算,饼干是TFA、糖和SFA的主要贡献者,而油炸豆类是钠/盐的主要贡献者。应采取适当的监管行动,推广带有用户友好型包装正面标签的健康加工食品,并监测其质量,以预防非传染性疾病(NCDs)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0be3/10804074/321663bc82b9/FSN3-12-481-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验