Modifying the Health Star Rating nutrient profiling algorithm to account for ultra-processing.

IF 2.6 4区 医学 Q3 NUTRITION & DIETETICS Nutrition & Dietetics Pub Date : 2024-07-10 DOI:10.1111/1747-0080.12892
Eden M Barrett, Simone Pettigrew, Bruce Neal, Mike Rayner, Daisy H Coyle, Alexandra Jones, Damian Maganja, Allison Gaines, Dariush Mozaffarian, Fraser Taylor, Nadine Ghammachi, Jason H Y Wu
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Abstract

Aim: To modify the Australian and New Zealand Health Star Rating to account for ultra-processing and compare the alignment of the modified ratings with NOVA classifications and the current Australian Dietary Guidelines classifications of core (recommended foods) and discretionary (foods to limit).

Methods: Data was cross-sectionally analysed for 25 486 products. Four approaches were compared to the original Health Star Rating: (1) five 'negative' points added to ultra-processed products (modification 1; inclusion approach); (2) ultra-processed products restricted to a maximum of 3.0 Health Stars (modification 2; capping approach); (3 and 4) same approach used for modifications 1 and 2 but only applied to products that already exceeded 10 'negative' points from existing Health Star Rating attributes (modifications 3 and 4, respectively; hybrid approaches). Alignment occurred when products (i) received <3.5 Health Stars and were NOVA group 4 (for NOVA comparison) or discretionary (for Dietary Guidelines comparison), or (ii) received ≥3.5 Health Stars and were NOVA groups 1-3 or core.

Results: All Health Star Rating modifications resulted in greater alignment with NOVA (ranging from 69% to 88%) compared to the original Health Star Rating (66%). None of the modifications resulted in greater alignment to the Dietary Guidelines classifications overall (69% to 76%, compared with 77% for the original Health Star Rating), but alignment varied considerably by food category.

Conclusions: If ultra-processing were incorporated into the Australian and New Zealand Health Star Rating, consideration of ultra-processing within the broader dietary guidance framework would be essential to ensure coherent dietary messaging to Australians.

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修改 "健康星级 "营养分析算法,以考虑超加工问题。
目的:修改澳大利亚和新西兰健康星级评定标准,以考虑超加工问题,并比较修改后的评定标准与 NOVA 分类以及现行澳大利亚膳食指南的核心(推荐食品)和酌定(限制食品)分类的一致性:方法:横向分析了 25 486 种产品的数据。将四种方法与最初的健康星级评定进行了比较:(1)对超加工产品增加五个 "负 "分(修改 1;纳入法);(2)限制超加工产品的健康星级最高为 3.0(修改 2;封顶法);(3 和 4)采用与修改 1 和 2 相同的方法,但仅适用于在现有健康星级评定属性中已超过 10 个 "负 "分的产品(分别为修改 3 和 4;混合法)。当产品(i)获得 "结果 "时,就发生了调整:与最初的 "健康之星 "评级(66%)相比,所有的 "健康之星 "评级修改都提高了与 NOVA 的一致性(从 69% 到 88% 不等)。总体而言,没有一项修改与《膳食指南》的分类更加一致(69% 至 76%,而最初的健康星级评定为 77%),但不同食品类别的一致性差异很大:结论:如果将超标加工食品纳入澳大利亚和新西兰健康星级评定,那么在更广泛的膳食指导框架内考虑超标加工食品将对确保向澳大利亚人提供一致的膳食信息至关重要。
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来源期刊
Nutrition & Dietetics
Nutrition & Dietetics 医学-营养学
CiteScore
6.40
自引率
16.10%
发文量
69
审稿时长
>12 weeks
期刊介绍: Nutrition & Dietetics is the official journal of the Dietitians Association of Australia. Covering all aspects of food, nutrition and dietetics, the Journal provides a forum for the reporting, discussion and development of scientifically credible knowledge related to human nutrition and dietetics. Widely respected in Australia and around the world, Nutrition & Dietetics publishes original research, methodology analyses, research reviews and much more. The Journal aims to keep health professionals abreast of current knowledge on human nutrition and diet, and accepts contributions from around the world.
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