Evidence map›Paper›PMID 36674397›Full record

ArticleInternational journal of environmental research and public health2023

Nutritional Analysis of the Spanish Population: A New Approach Using Public Data on Consumption.

Isabel Cerrillo, Pablo Saralegui-Díez, Rubén Morilla-Romero-de-la-Osa, Manuel González de Molina, Gloria I Guzmán

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Isabel CerrilloDepartment of Molecular Biology and Biochemistry Engineering, Area of Nutrition and Food Sciences, Pablo de Olavide University, Carretera de Utrera Km 1, 41013 Seville, Spain.ORCID 0000-0001-9068-8176
Pablo Saralegui-DíezAlimentta, Think Tank para la Transición Alimentaria, 18320 Santa Fe, Spain.ORCID 0000-0002-0211-6045
Rubén Morilla-Romero-de-la-OsaAlimentta, Think Tank para la Transición Alimentaria, 18320 Santa Fe, Spain.ORCID 0000-0002-0717-3938
Manuel González de MolinaAlimentta, Think Tank para la Transición Alimentaria, 18320 Santa Fe, Spain.ORCID 0000-0002-0253-6971
Gloria I GuzmánAlimentta, Think Tank para la Transición Alimentaria, 18320 Santa Fe, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Official population consumption data are frequently used to characterize the diet of countries; however, this information may not always be representative of reality. This study analyses the food consumption of the Spanish population by reconstructing the whole food chain. The results have been compared with the data provided by the National Consumption Panel to which the food losses/waste reported in the literature along the distribution chain have been added. The difference between them allowed a new calculation of the estimated food consumption that was subjected to a dietary-nutritional analysis. Most of the foods were consumed more than those officially reported (range of 5-50%). The unhealthy ratios of consumed foods and recommended servings were: meat products (Rcr = 3.6), fruits and legumes (Rcr = 0.5), and nuts (Rcr = 0.14). Caloric intake surpasses needs. The results were consistent with the data on the prevalence of overweight and obesity in Spain, as well as with the prevalence of associated diseases. To make a judgment about the quality of a country's diet, it is necessary to have reliable data on food consumption, as well as energy and nutrient intake. This study encourages other authors to implement this method to verify and quantify the possible difference between official and real consumption data.

Indexed as

DietObesityEnergy IntakeFruitVegetablesdiet food and nutritionnutritional statusnutrition policypublic healthpublic sector

Identifiers

PMID36674397
PMCPMC9867222

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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.