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修改健康星级评级营养成分分析算法以考虑超加工因素。

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

作者信息

Barrett Eden M, Pettigrew Simone, Neal Bruce, Rayner Mike, Coyle Daisy H, Jones Alexandra, Maganja Damian, Gaines Allison, Mozaffarian Dariush, Taylor Fraser, Ghammachi Nadine, Wu Jason H Y

机构信息

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

School of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.

出版信息

Nutr Diet. 2025 Feb;82(1):53-63. doi: 10.1111/1747-0080.12892. Epub 2024 Jul 10.

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.

摘要

目的

修改澳大利亚和新西兰健康星级评定,以考虑超加工食品,并比较修改后的评级与NOVA分类以及当前澳大利亚膳食指南中核心(推荐食品)和 discretionary(应限制食用的食品)分类的一致性。

方法

对25486种产品进行横断面分析。将四种方法与原始健康星级评定进行比较:(1)给超加工产品额外加5个“负”分(修改1;纳入法);(2)将超加工产品的健康星级限制在最高3.0星(修改2;上限法);(3和4)与修改1和2采用相同方法,但仅适用于已因现有健康星级评定属性而超过10个“负”分的产品(分别为修改3和4;混合法)。当产品(i)获得低于3.5颗健康星且属于NOVA第4组(用于NOVA比较)或 discretionary(用于膳食指南比较),或(ii)获得≥3.5颗健康星且属于NOVA第1 - 3组或核心类别时,即为一致。

结果

与原始健康星级评定(66%)相比,所有健康星级评定修改后与NOVA的一致性更高(范围从69%到88%)。总体而言,没有一种修改能使与膳食指南分类的一致性更高(69%至76%,原始健康星级评定为77%),但一致性因食品类别而异。

结论

如果将超加工食品纳入澳大利亚和新西兰健康星级评定,在更广泛的膳食指导框架内考虑超加工食品对于确保向澳大利亚人传达连贯的膳食信息至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28a2/11795220/f6b3cad2d384/NDI-82-53-g002.jpg

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