Evidence map›Paper›PMID 35807879›Full record

ArticleNutrients2022

Nutritional Quality of Pre-Packaged Foods in China under Various Nutrient Profile Models.

Yuan Li, Huijun Wang, Puhong Zhang, Barry M Popkin, Daisy H Coyle, Jingmin Ding, Le Dong, Jiguo Zhang, Wenwen Du, Simone Pettigrew

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Yuan LiThe George Institute for Global Health, Beijing 100600, China.ORCID 0000-0003-1887-7065
Huijun WangNational Institute for Nutrition and Health, Chinese Centre for Disease Control and Prevention, Beijing 100050, China.
Puhong ZhangThe George Institute for Global Health, Beijing 100600, China.ORCID 0000-0003-4610-9848
Barry M PopkinDepartment of Nutrition, Gillings School of Global Public Health, and Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA.ORCID 0000-0001-9495-9324
Daisy H CoyleThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.
Jingmin DingThe George Institute for Global Health, Beijing 100600, China.
Le DongThe George Institute for Global Health, Beijing 100600, China.
Jiguo ZhangNational Institute for Nutrition and Health, Chinese Centre for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0003-3266-8999
Wenwen DuNational Institute for Nutrition and Health, Chinese Centre for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0002-4476-2985
Simone PettigrewThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0003-3921-1174
UNSW Sydney · AUChinese Center For Disease Control and Prevention · CNGeorge Institute for Global Health · CNUniversity of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
NICHD NIH HHS R01 HD030880NIDDK NIH HHS P30 DK056350the National Institute of Health Research (NIHR Global Health Research Unit Action on Salt China at Queen Mary University of London) using Official Development Assistance (ODA) funding and the Chinese Nutrition Society and the George Institute collaborati 16/136/77
6 · The paper itself

Abstract

This study used various nutrient profile models (NPMs) to evaluate the nutritional quality of pre-packaged foods in China to inform future food policy development. Nutrition data for pre-packaged foods were collected through FoodSwitch China in 2017-2020. The analyses included 73,885 pre-packaged foods, including 8236 beverages and 65,649 foods. Processed foods (PFs) and ultra-processed foods (UPFs) accounted for 8222 (11.4%) and 47,003 (63.6%) of all products, respectively. Among the 55,425 PFs and UPFs, the overall proportion of products with an excessive quantity of at least one negative nutrient was 86.0% according to the Chilean NPM (2019), 83.3% for the Pan American Health Organization NPM (PAHO NPM), and 90.6% for the Western Pacific Region NPM for protecting children from food marketing (WPHO NPM), respectively. In all NPMs, 70.4% of PFs and UPFs were identified as containing an excessive quantity of at least one negative nutrient, with higher proportions of UPFs compared to PFs. Food groups exceeding nutrient thresholds in most NPMs included snack foods, meat and meat products, bread and bakery products, non-alcoholic beverages, confectionery, and convenience foods. In conclusion, PFs and UPFs accounted for three-fourths of pre-packaged foods in China, and the majority of PFs and UPFs exceeded the threshold for at least one negative nutrient under all three NPMs. Given the need to prevent obesity and other diet-related chronic diseases, efforts are warranted to improve the healthiness of foods in China through evidence-based food policy.

Indexed as

Fast FoodsFood LabelingBeveragesChildHumansNutrientsNutritive ValueNutrientsfood policyfront-of-package labelslabellingnutrient profilingpre-packaged foodsprocessed foodsultra-processed foodswarning labels

Identifiers

PMID35807879
PMCPMC9268697
OpenAlexW4283736220

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.