Evidence map›Paper›PMID 41874696›Full record

ArticleEuropean journal of nutrition2026

Mortality risk in relation to diet quality assessed by the 2023 nutri-score nutrient profiling model: a prospective analysis.

Nadine Khoury, Jose Cándido Fernández-Cao, Noushin Mohammadifard, Miguel Ángel Martinez-González, Dolores Corella, Montserrat Fitó, Ramón Estruch, Lucas Tojal-Sierra, Enrique Gómez Gracias, Miquel Fiol and 8 more

Abstract read
In one paragraph

Article in European journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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

18 authors.

Nadine Khoury *Institut de Recerca Biomèdica Catalunya Sud (IRBCatSud), Reus, 43204, Spain.
Jose Cándido Fernández-Cao *Department of Nutrition and Dietetics, Faculty of Health Sciences, University of Atacama, Copiapó, Chile.
Noushin MohammadifardIsfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Miguel Ángel Martinez-GonzálezCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Dolores CorellaCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Montserrat FitóCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Ramón EstruchDepartment of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain.
Lucas Tojal-SierraCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Enrique Gómez GraciasCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Miquel FiolCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
José LapetraCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Lluís Serra-MajemCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Xavier PintóCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Zenaida Vázquez-RuizCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Jose V SorliCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.
Helmut SchröderDepartment of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain.
Jordi Salas-SalvadóInstitut de Recerca Biomèdica Catalunya Sud (IRBCatSud), Reus, 43204, Spain. jordi.salas@urv.cat.
Nancy BabioInstitut de Recerca Biomèdica Catalunya Sud (IRBCatSud), Reus, 43204, Spain. nancy.babio@urv.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe updated Nutri-Score nutrient profiling model (uNS-NPM), revised in 2023, aims to better align with dietary guidelines and improve health outcomes prediction. However, evidence assessing its validity and applicability remains limited, particularly in Spanish populations.

objectiveTo investigate the prospective association between diet quality, assessed using the uNS-NPM dietary index (DI), and the risk of all-cause and cause-specific mortality in older adults at high cardiovascular risk.

methodsA prospective analysis within the PREDIMED cohort, with 7,212 participants aged 55-80 years at high cardiovascular risk was conducted. Diet was assessed by validated food frequency questionnaires, and the uNS-NPM DI was computed to quantify overall dietary quality. Time-dependent Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause, cardiovascular, cancer, and other-cause mortality across quintiles of the average cumulative uNS-NPM DI, adjusting for relevant confounders.

resultsOver a median follow-up of 6 years, 425 deaths occurred (103 cardiovascular, 169 cancers, 153 other causes). Participants in the highest quintile of the uNS-NPM DI (reflecting poorer diet quality) had a higher risk of all-cause mortality (HR: 1.64; 95% CI: 1.19-2.28; p-trend = 0.007) and a higher risk of cardiovascular mortality (HR: 3.21; 95% CI: 1.29-7.95; p-trend = 0.002) compared to those participants in the lowest quintile. Participants in the highest quintile of uNS-NPM DI had also an increased risk of death from other causes (HR: 1.84; 95% CI: 1.11-3.07), although the trend was not statistically significant p-trend = 169). For cancer mortality, no significant association was observed (HR for highest vs. lowest quintile: 1.16; 95% CI: 0.69-1.92 p-trend = 0.695).

conclusionsIn this Mediterranean cohort of older adults at high cardiovascular risk, lower dietary quality, assessed with the uNS-NPM DI, was prospectively associated with higher risks of all-cause, cardiovascular, and other-cause mortality. These findings support the uNS-NPM DI as a valuable tool for diet quality assessment.

Indexed as

Cardiovascular DiseasesDietAgedAged, 80 and overCause of DeathFemaleHumansMaleMiddle AgedNeoplasmsNutrition AssessmentProportional Hazards ModelsProspective StudiesRisk FactorsSpainFood labellingMortality riskNutrient profileNutri-Score

Identifiers

PMID41874696
PMCPMC13013389

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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 Socratic graph.