• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评价健康声称营养素评分标准(NPSC)与健康之星评级(HSR)营养素评分模型之间的一致性。

Evaluation of Alignment between the Health Claims Nutrient Profiling Scoring Criterion (NPSC) and the Health Star Rating (HSR) Nutrient Profiling Models.

机构信息

The George Institute for Global Health, University of New South Wales, Sydney, NSW 2052, Australia.

Faculty of Medicine, University of Sydney, Sydney, NSW 2052, Australia.

出版信息

Nutrients. 2018 Aug 10;10(8):1065. doi: 10.3390/nu10081065.

DOI:10.3390/nu10081065
PMID:30103402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6115993/
Abstract

In Australia, manufacturers can use two government-endorsed approaches to advertise product healthiness: the Health Star Rating (HSR) front-of-pack nutrition labelling system, and health claims. Related, but different, algorithms determine the star rating of a product (the HSR algorithm) and eligibility to display claims (the Nutrient Profiling Scoring Criterion (NPSC) algorithm). The objective of this study was to examine the agreement between the HSR and NPSC algorithms. Food composition information for 41,297 packaged products was extracted from The George Institute's FoodSwitch database. HSR and the NPSC scores were calculated, and the proportion of products in each HSR category that were eligible to display a health claim under the NPSC was examined. The highest agreement between the HSR scoring algorithm and the NPSC threshold to determine eligibility to display a health claim was at the HSR cut-off of 3.5 stars ( = 0.83). Overall, 97.3% ( = 40,167) of products with star ratings of 3.5 or higher were also eligible to display a health claim, and 94.3% ( = 38,939) of products with star ratings less than 3.5 were ineligible to display a health claim. The food group with greatest divergence was "edible oils", with 45% products ( = 342) with HSR >3.5, but 64% ( = 495) eligible to display a claim. Categories with large absolute numbers of products with HSR <3.5, but eligible to display a claim, were "yoghurts and yoghurt drinks" (335 products, 25.4%) and "soft drinks" (299 products, 29.7%). Categories with a large number of products with HSR ≥3.5, but ineligible to display a claim, were "milk" (260 products, 21.2%) and "nuts and seeds" (173 products, 19.7%). We conclude that there is good agreement between the HSR and the NPSC systems overall, but divergence in some food groups is likely to result in confusion for consumers, particularly where foods with low HSRs are eligible to display a health claim. The alignment of the NPSC and HSR scoring algorithms should be improved.

摘要

在澳大利亚,制造商可以采用两种经政府认可的方法来宣传产品的健康性:一是使用健康星级(HSR)包装营养标签系统,二是使用健康声称。相关但不同的算法分别确定产品的星级(HSR 算法)和展示声称的资格(营养成分特征评分标准(NPSC)算法)。本研究旨在检验 HSR 和 NPSC 算法之间的一致性。从乔治研究所的 FoodSwitch 数据库中提取了 41,297 种包装食品的成分信息。计算了 HSR 和 NPSC 得分,并检查了每个 HSR 类别中符合 NPSC 健康声称条件的产品比例。HSR 评分算法与确定展示健康声称资格的 NPSC 阈值之间的最高一致性出现在 HSR 分界值为 3.5 星(=0.83)。总体而言,星级为 3.5 或更高的产品中有 97.3%(=40,167)有资格展示健康声称,星级小于 3.5 的产品中有 94.3%(=38,939)没有资格展示健康声称。差异最大的食品类别是“食用油”,其中 45%的产品(=342)HSR 大于 3.5,但有 64%(=495)有资格展示声称。有大量 HSR 小于 3.5 但有资格展示声称的产品的类别是“酸奶和酸奶饮料”(335 种产品,占 25.4%)和“软饮料”(299 种产品,占 29.7%)。有大量 HSR 大于等于 3.5 但没有资格展示声称的产品的类别是“牛奶”(260 种产品,占 21.2%)和“坚果和种子”(173 种产品,占 19.7%)。我们的结论是,总体而言,HSR 和 NPSC 系统之间具有良好的一致性,但某些食品类别的差异可能会使消费者感到困惑,尤其是那些 HSR 较低的食品有资格展示健康声称的情况下。应改进 NPSC 和 HSR 评分算法的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e721/6115993/9532d0554fda/nutrients-10-01065-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e721/6115993/63acbe3d86c7/nutrients-10-01065-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e721/6115993/9532d0554fda/nutrients-10-01065-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e721/6115993/63acbe3d86c7/nutrients-10-01065-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e721/6115993/9532d0554fda/nutrients-10-01065-g002.jpg

相似文献

1
Evaluation of Alignment between the Health Claims Nutrient Profiling Scoring Criterion (NPSC) and the Health Star Rating (HSR) Nutrient Profiling Models.评价健康声称营养素评分标准(NPSC)与健康之星评级(HSR)营养素评分模型之间的一致性。
Nutrients. 2018 Aug 10;10(8):1065. doi: 10.3390/nu10081065.
2
Investigating nutrient profiling and Health Star Ratings on core dairy products in Australia.澳大利亚核心乳制品的营养成分分析及健康星级评定研究。
Public Health Nutr. 2016 Oct;19(15):2860-5. doi: 10.1017/S1368980016000975. Epub 2016 May 2.
3
Incorporating Added Sugar Improves the Performance of the Health Star Rating Front-of-Pack Labelling System in Australia.添加糖的纳入提高了澳大利亚健康星级包装正面标签系统的性能。
Nutrients. 2017 Jul 5;9(7):701. doi: 10.3390/nu9070701.
4
A nutrient profiling assessment of packaged foods using two star-based front-of-pack labels.使用两种基于星级的包装正面标签对包装食品进行营养成分剖析评估。
Public Health Nutr. 2016 Aug;19(12):2165-74. doi: 10.1017/S1368980015002748. Epub 2015 Sep 28.
5
Do Nutrient-Based Front-of-Pack Labelling Schemes Support or Undermine Food-Based Dietary Guideline Recommendations? Lessons from the Australian Health Star Rating System.基于营养素的标签方案是否支持或破坏了基于食物的膳食指南推荐?来自澳大利亚星级评分系统的经验教训。
Nutrients. 2018 Jan 5;10(1):32. doi: 10.3390/nu10010032.
6
Use of Added Sugars Instead of Total Sugars May Improve the Capacity of the Health Star Rating System to Discriminate between Core and Discretionary Foods.使用添加糖而非总糖可能会提高健康星级评分系统区分核心食物和 discretionary 食物的能力。
J Acad Nutr Diet. 2017 Dec;117(12):1921-1930.e11. doi: 10.1016/j.jand.2017.08.013.
7
Effects of a Voluntary Front-of-Pack Nutrition Labelling System on Packaged Food Reformulation: The Health Star Rating System in New Zealand.自愿性的包装食品营养标签系统对食品配方调整的影响:新西兰的“星级营养评分系统”。
Nutrients. 2017 Aug 22;9(8):918. doi: 10.3390/nu9080918.
8
Examining the Nutritional Quality of Canadian Packaged Foods and Beverages with and without Nutrition Claims.检查有和没有营养声称的加拿大包装食品和饮料的营养质量。
Nutrients. 2018 Jun 27;10(7):832. doi: 10.3390/nu10070832.
9
Defining 'Unhealthy': A Systematic Analysis of Alignment between the Australian Dietary Guidelines and the Health Star Rating System.定义“不健康”:澳大利亚膳食指南与健康星级评分系统一致性的系统分析。
Nutrients. 2018 Apr 18;10(4):501. doi: 10.3390/nu10040501.
10
Nutrition and health claims on healthy and less-healthy packaged food products in New Zealand.新西兰健康及不太健康包装食品上的营养与健康声称
Br J Nutr. 2016 Sep;116(6):1087-94. doi: 10.1017/S0007114516002981. Epub 2016 Aug 9.

引用本文的文献

1
Development of a Nutrient Profiling Model for Processed Foods in Japan.日本加工食品营养成分分析模型的建立。
Nutrients. 2024 Sep 7;16(17):3026. doi: 10.3390/nu16173026.
2
Trends in the healthiness and nutrient composition of packaged products sold by major food and beverage companies in New Zealand 2015 to 2019.2015 年至 2019 年新西兰主要食品和饮料公司销售的包装产品的健康状况和营养成分趋势。
BMC Med. 2024 Sep 11;22(1):372. doi: 10.1186/s12916-024-03567-w.
3
Healthiness of food products promoted through placement strategies in Australian online supermarkets: a cross-sectional study.

本文引用的文献

1
Consumers' responses to health claims in the context of other on-pack nutrition information: a systematic review.消费者在其他包装营养信息背景下对健康声明的反应:一项系统综述。
Nutr Rev. 2017 Apr 1;75(4):260-273. doi: 10.1093/nutrit/nuw070.
2
Do Health Claims and Front-of-Pack Labels Lead to a Positivity Bias in Unhealthy Foods?健康声明和食品包装正面标签会导致对不健康食品的积极偏见吗?
Nutrients. 2016 Dec 2;8(12):787. doi: 10.3390/nu8120787.
3
Protecting New Zealand children from exposure to the marketing of unhealthy foods and drinks: a comparison of three nutrient profiling systems to classify foods.
通过在澳大利亚在线超市中的定位策略来推广食品的健康性:一项横断面研究。
BMC Med. 2024 Aug 26;22(1):341. doi: 10.1186/s12916-024-03557-y.
4
Uptake of Front-of-Package Nutrition Labeling Scheme after 5 Years of Adoption in Thailand: An Analysis of New Launched Pre-Packaged Food and Beverages Products.泰国采用预包装食品和饮料产品的营养标签方案 5 年后的采纳情况:新推出产品的分析。
Nutrients. 2023 Jul 12;15(14):3116. doi: 10.3390/nu15143116.
5
Comparison of Nutri-Score and Health Star Rating Nutrient Profiling Models Using Large Branded Foods Composition Database and Sales Data.比较 Nutri-Score 和健康星级评分营养素分析模型,使用大型品牌食品成分数据库和销售数据。
Int J Environ Res Public Health. 2023 Feb 23;20(5):3980. doi: 10.3390/ijerph20053980.
6
Validation of the Thumbs food classification system as a tool to accurately identify the healthiness of foods.验证拇指食物分类系统作为一种准确识别食物健康程度的工具。
Br J Nutr. 2023 Jun 14;129(11):2001-2010. doi: 10.1017/S0007114522002756. Epub 2022 Aug 30.
7
Methodology for the Review and Update of Nutrient Criteria Underpinning Front-of-Pack Labeling: Application to the Glycemic Index Symbol.包装正面标签营养标准的审查与更新方法:血糖生成指数符号的应用
Front Nutr. 2022 Jun 9;9:867349. doi: 10.3389/fnut.2022.867349. eCollection 2022.
8
Applying and comparing various nutrient profiling models against the packaged food supply in South Africa.将各种营养成分分析模型应用于南非的包装食品供应并进行比较。
Public Health Nutr. 2022 Aug;25(8):2296-2307. doi: 10.1017/S1368980022000374. Epub 2022 Feb 16.
9
The relationship between voluntary product (re) formulation commitments and changes in the nutritional quality of products offered by the top packaged food and beverage companies in Canada from 2013 to 2017.2013年至2017年加拿大顶级包装食品和饮料公司的自愿性产品(重新)配方承诺与所提供产品营养质量变化之间的关系。
BMC Public Health. 2022 Feb 10;22(1):271. doi: 10.1186/s12889-022-12683-2.
10
Branded Foods Databases as a Tool to Support Nutrition Research and Monitoring of the Food Supply: Insights From the Slovenian Composition and Labeling Information System.品牌食品数据库作为支持营养研究和食品供应监测的工具:来自斯洛文尼亚成分与标签信息系统的见解
Front Nutr. 2022 Jan 4;8:798576. doi: 10.3389/fnut.2021.798576. eCollection 2021.
保护新西兰儿童免受不健康食品和饮料营销的影响:三种营养成分分析系统对食品进行分类的比较。
N Z Med J. 2016 Sep 9;129(1441):41-53.
4
Investigating nutrient profiling and Health Star Ratings on core dairy products in Australia.澳大利亚核心乳制品的营养成分分析及健康星级评定研究。
Public Health Nutr. 2016 Oct;19(15):2860-5. doi: 10.1017/S1368980016000975. Epub 2016 May 2.
5
Nutrient profile of 23 596 packaged supermarket foods and non-alcoholic beverages in Australia and New Zealand.澳大利亚和新西兰23596种包装超市食品及非酒精饮料的营养成分概况
Public Health Nutr. 2016 Feb;19(3):401-8. doi: 10.1017/S1368980015000968. Epub 2015 Apr 14.
6
FoodSwitch: A Mobile Phone App to Enable Consumers to Make Healthier Food Choices and Crowdsourcing of National Food Composition Data.FoodSwitch:一款帮助消费者做出更健康食物选择的手机应用程序,以及国家食物成分数据的众包。
JMIR Mhealth Uhealth. 2014 Aug 21;2(3):e37. doi: 10.2196/mhealth.3230.
7
The growing role of front-of-pack nutrition profile labeling: a consumer perspective on key issues and controversies.预包装食品营养标签作用日益凸显:消费者视角下的关键问题和争议。
Crit Rev Food Sci Nutr. 2015;55(3):291-303. doi: 10.1080/10408398.2011.653018.
8
Nutrient profiling and the regulation of marketing to children. Possibilities and pitfalls.营养成分分析与针对儿童的营销法规。可能性与陷阱。
Appetite. 2013 Mar;62:232-5. doi: 10.1016/j.appet.2012.06.021. Epub 2012 Aug 7.
9
International collaborative project to compare and monitor the nutritional composition of processed foods.国际合作项目,比较和监测加工食品的营养成分。
Eur J Prev Cardiol. 2012 Dec;19(6):1326-32. doi: 10.1177/1741826711425777. Epub 2011 Oct 4.
10
Changing the future of obesity: science, policy, and action.改变肥胖的未来:科学、政策与行动。
Lancet. 2011 Aug 27;378(9793):838-47. doi: 10.1016/S0140-6736(11)60815-5.