Evidence map›Paper›PMID 40692550›Full record

ArticleJournal of nutritional science2025

The NutriLight framework: a novel approach to evaluating sustainable and healthy diets.

Tingyu Lu, Weiyu Chen, Xiaochun Huang, Manyi Zhai, Chunqiao Fu, Lin Xu

Abstract readEditorial
In one paragraph

Article in Journal of nutritional science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Tingyu LuSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Weiyu ChenSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiaochun HuangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Manyi ZhaiSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Chunqiao FuSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Lin XuSchool of Public Health, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NutriLight system presents a novel dietary approach designed to enhance health communication, promote sustainable eating habits, and address limitations in existing dietary patterns. Using a traffic light scoring system, it simplifies dietary recommendations, making them more accessible and adaptable across diverse populations. Unlike rigid diets, NutriLight categorises foods into green, yellow, and red groups, encouraging balance rather than restriction. This flexibility allows for cultural adaptations, ensuring relevance in different dietary contexts while supporting planetary health. Additionally, NutriLight mitigates the risk of nutrient deficiencies by emphasising whole, minimally processed foods and reducing overconsumption of unhealthy options. While promising, its effectiveness depends on proper implementation, localised adaptation, and long-term evaluation to confirm its health benefits. By bridging the gap between nutritional science and practical application, NutriLight has the potential to serve as an effective tool in public health nutrition, fostering healthier and more sustainable dietary choices worldwide.

Indexed as

Diet, HealthyHealth PromotionDietFeeding BehaviorHumansNutrition PolicyPublic HealthAHEI, Alternative healthy eating indexBMI, Body mass indexDASH, Dietary approaches to stop hypertensionDietary patternsEnvironmental impactHealth and sustainabilityHEI, Healthy eating indexNutriLight scoring systemNutritional adequacySustainable PlateUNEP, United Nations Environment Programme

Identifiers

PMID40692550
PMCPMC12278173

What OpenQuestion holds

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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.