Best practices for applying the Nova food classification system

被引：25

作者：

Martinez-Steele, Euridice ^{[1
,2
]}

Khandpur, Neha ^{[1
,2
,3
,4
]}

Batis, Carolina ^{[5
]}

Bes-Rastrollo, Maira ^{[6
,7
,8
]}

Bonaccio, Marialaura ^{[9
]}

Cediel, Gustavo ^{[10
]}

Huybrechts, Inge ^{[11
]}

Juul, Filippa ^{[12
]}

Levy, Renata B. ^{[2
,13
]}

Louzada, Maria Laura da Costa ^{[1
,2
]}

Machado, Priscila P. ^{[14
]}

Moubarac, Jean-Claude ^{[15
]}

Nansel, Tonja ^{[16
]}

Rauber, Fernanda ^{[2
,13
]}

Srour, Bernard ^{[17
,18
,19
,20
,21
,22
]}

Touvier, Mathilde ^{[17
,18
,19
,20
,21
,22
]}

Monteiro, Carlos A. ^{[1
,2
]}

机构：

[1] Univ Sao Paulo, Sch Publ Hlth, Dept Nutr, Sao Paulo, Brazil

[2] Univ Sao Paulo, Ctr Epidemiol Studies Hlth & Nutr, Sao Paulo, Brazil

[3] Wageningen Univ, Dept Human Hlth & Nutr, Wageningen, Netherlands

[4] Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA

[5] Natl Inst Publ Hlth, Hlth & Nutr Res Ctr, Cuernavaca, Mexico

[6] Univ Navarra, Dept Prevent Med & Publ Hlth, Pamplona, Spain

[7] Navarra Inst Hlth Res IdiSNA, Pamplona, Spain

[8] Inst Salud Carlos III, CIBERobn, Madrid, Spain

[9] IRCCS Ist Neurol Mediterraneo Neuromed, Dept Epidemiol & Prevent, Pozzilli, Italy

[10] Univ Antioquia, Medellin, Colombia

[11] Int Agcy Res Canc IARC, Lyon, France

[12] NYU, Sch Global Publ Hlth, Dept Publ Hlth Policy & Management, New York, NY USA

[13] Univ Sao Paulo, Sch Med, Dept Prevent Med, Sao Paulo, Brazil

[14] Deakin Univ, Inst Phys Act & Nutr IPAN, Sch Exercise & Nutr Sci, Geelong, Vic, Australia

[15] Univ Montreal, Fac Med, Dept Nutr, Quebec City, PQ, Canada

[16] Eunice Kennedy Shriver Natl Inst Child Hlth & Huma, Div Populat Hlth Res, Social & Behav Sci Branch, Bethesda, MD USA

[17] Univ Sorbonne Paris Nord, Bobigny, France

[18] Univ Paris Cite, Paris, France

[19] INSERM, Paris, France

[20] INRAE, Paris, France

[21] CNAM, Paris, France

[22] Ctr Res Epidemiol & Stat CRESS, Nutr Epidemiol Res Team EREN, Bobigny, France

来源：

NATURE FOOD | 2023年 / 4卷 / 06期

关键词：

ULTRA-PROCESSED FOODS; CONSUMPTION; RISK;

D O I：

10.1038/s43016-023-00779-w

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

The assignment of foods to one of four categories proposed by the Nova framework may be challenging in the absence of information on how these foods were prepared and their specific composition. A three-step iterative approach can make the categorization process more efficient and transparent, thereby increasing the accuracy of Nova estimates.

引用

页码：445 / 448

页数：4

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