Evidence map›Paper›PMID 41895696›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2026

Healthy Diet Metrics for Children and Adolescents and Their Suitability for Global Monitoring: A Critical Review.

Alissa M Pries, Hope Craig, Vrinda Mehra, Edward A Frongillo, Giles T Hanley-Cook, Chika Hayashi, Kuntal Saha, Isabela Fleury Sattamini, Teresa R Schwendler, Jennifer C Coates and 1 more

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Alissa M PriesIndependent consultant, London, United Kingdom. Electronic address: hello@alissapries.com.
Hope CraigFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Vrinda MehraData & Analytics Section, Division of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, NY, United States.
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, United States.
Giles T Hanley-CookFood and Nutrition Division, Food and Agriculture Organization of the United Nations, Rome, Italy.
Chika HayashiData & Analytics Section, Division of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, NY, United States.
Kuntal SahaDepartment of Nutrition and Food Safety, World Health Organisation, Geneva, Switzerland.
Isabela Fleury SattaminiDepartment of Nutrition and Food Safety, World Health Organisation, Geneva, Switzerland.
Teresa R SchwendlerFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Jennifer C CoatesFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
Healthy Diets Monitoring Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthy diets during childhood and adolescence are paramount for growth, development, and long-term health. However, there is a lack of low-burden standardized metrics to assess and monitor healthy diets among children and adolescents aged 2-19 y on a global scale. This critical review aimed to identify and evaluate existing metrics for assessing healthy diets in this age group and to determine their suitability for global monitoring based on feasibility and adaptability across different contexts. A systematic search was conducted across 3 global databases, encompassing both peer-reviewed and grey literature. A total of 127 distinct healthy diet metrics were identified, many of which were developed or adapted based on national dietary guidelines across various geographical contexts. Only 5 were deemed suitable for global monitoring due to their feasibility and adaptability: the Individual Dietary Diversity Score, 7 food group Minimum Dietary Diversity, 10 food group Minimum Dietary Diversity, Healthy Plate Variety Score, and Adapted ultraprocessed food Nova Score. Among these metrics, diversity was the most commonly measured subconstruct of a healthy diet, whereas only the Adapted Nova Score aimed to capture moderation. These 5 metrics were further evaluated for construct validity, reliability, and cross-context equivalence, which revealed large evidence gaps, particularly regarding sensitivity to change and test-retest reliability. These findings highlight the need for additional research to validate healthy diet metrics globally to ensure their accuracy, sensitivity, and reliability to differentiate populations and changes over time. Developing robust, low-burden metrics is essential for informing effective, timely nutrition policies and interventions aimed at improving the diets of children and adolescents worldwide.

Indexed as

Diet, HealthyNutrition PolicyAdolescentChildChild, PreschoolEvidence GapsGlobal HealthHumansReproducibility of Resultsadolescentschildrendietsglobal monitoringmetrics

Identifiers

PMID41895696
PMCPMC13223966

What OpenQuestion holds

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LicenceCC BY
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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.