Evidence map›Paper›PMID 34212836›Full record

ArticlePublic health nutrition2021

Public health potential of guidelines-based dietary scores for non-communicable diseases mortality prevention: simulation study using the Preventable Risk Integrated ModEl (PRIME) model.

Chantal Julia, Pascal Leroy, Moufidath Adjibade, Karen E Assmann, Mathilde Touvier, Serge Hercberg, Louis-Georges Soler, Emmanuelle Kesse-Guyot

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

8 authors at 2 institutions in 1 country.

Chantal JuliaSorbonne Paris Nord (Paris 13) University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH Paris 13, 74 Rue Marcel Cachin, F-93017 Bobigny, France.ORCID 0000-0003-2006-5269
Pascal LeroyUniversité Paris-Saclay, INRAE, UR ALISS, Ivry-sur-Seine, France.
Moufidath AdjibadeSorbonne Paris Nord (Paris 13) University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH Paris 13, 74 Rue Marcel Cachin, F-93017 Bobigny, France.
Karen E AssmannSorbonne Paris Nord (Paris 13) University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH Paris 13, 74 Rue Marcel Cachin, F-93017 Bobigny, France.
Mathilde TouvierSorbonne Paris Nord (Paris 13) University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH Paris 13, 74 Rue Marcel Cachin, F-93017 Bobigny, France.
Serge HercbergSorbonne Paris Nord (Paris 13) University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH Paris 13, 74 Rue Marcel Cachin, F-93017 Bobigny, France.
Louis-Georges SolerUniversité Paris-Saclay, INRAE, UR ALISS, Ivry-sur-Seine, France.
Emmanuelle Kesse-GuyotSorbonne Paris Nord (Paris 13) University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), SMBH Paris 13, 74 Rue Marcel Cachin, F-93017 Bobigny, France.
Inserm · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDietary indexes measure the adherence of individuals to a set of nutritional recommendations. However, the health gains associated with adherence to various dietary indexes may vary. Our objective was to compare the magnitude of estimated avoided deaths by chronic diseases obtained by improving diet quality in the French population, measured by a variety of dietary indexes.

designSimulation study based on observational data.

settingWeighted data from a French population-based cohort study.

participantsIn participants from the NutriNet-Santé cohort, we computed dietary scores reflecting the adherence to various recommendations (Medi-Lite, Healthy Diet Indicator (HDI), Programme National Nutrition Santé/National Nutrition and Health Program - Guidelines Score, Diet Quality Index (DQI), Alternative Healthy Eating Index (AHEI) and the modified Food Standards Agency nutrient profiling system dietary index (FSAm-NPS DI)). Quintiles of the food groups' consumption and dietary intakes were used as input in a simulation model (Preventable Risk Integrated ModEl (PRIME)), yielding the number of delayed or avoided deaths in nutrition-related non-communicable diseases, comparing between very high or very low nutritional quality of the diet and medium nutritional quality.

resultsA modification of dietary intakes from medium quality to very low quality (i.e. from the middle quintile to the quintile with the lowest nutritional quality) was associated with an increased number of deaths ranging from 3485 (95 % uncertainty interval (CI) 4002, 2987) for HDI and 3379 (95 % CI 3881, 2894) for FSAm-NPS DI to 838 (95 % CI 1163, 523) for Medi-Lite. Conversely, a modification of dietary intakes from medium quality to very high quality was associated with a decrease in the number of deaths ranging from 1995 (95 % CI 1676, 2299) for Probability of Adequate Nutrient intake diet, 1986 (95 % CI 1565, 2361) for DQI-International, 1931 (95 % CI 1499, 2316) for FSAm-NPS DI and 858 (95 % CI 499, 1205) for HDI.

conclusionsOur results provide some insights as the potential impact of following various dietary guidelines to reduce mortality from nutrition-related diseases.

Indexed as

Noncommunicable DiseasesCohort StudiesDietHumansNutrition PolicyNutritive ValuePublic HealthDietary indexDietary recommendationsMortalityNon-communicable diseasesNutrient profilePublic health impactSimulation study

Identifiers

PMID34212836
PMCPMC10195337
OpenAlexW3174132682

What OpenQuestion holds

Textmetadata
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Registered trials

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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 OpenQuestion graph.