Evidence map›Paper›PMID 32787915›Full record

ArticleBMC medicine2020

High consumption of ultra-processed food may double the risk of subclinical coronary atherosclerosis: the Aragon Workers' Health Study (AWHS).

Henry Montero-Salazar, Carolina Donat-Vargas, Belén Moreno-Franco, Helena Sandoval-Insausti, Fernando Civeira, Martín Laclaustra, Pilar Guallar-Castillón

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Food for Thought: Nourishing Cardiovascular Health Amidst the Exposome.Methodist DeBakey cardiovascular journal · 2024
    Review
  8. Article
  9. Article
  10. Nutritional Analysis of the Spanish Population: A New Approach Using Public Data on Consumption.International journal of environmental research and public health · 2023
    Article
  11. Article
  12. Review
  13. Article
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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

7 authors at 4 institutions in 3 countries.

Henry Montero-SalazarDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, CEI UAM+CSIC, Avda. Arzobispo Morcillo, n 4, 28029, Madrid, Spain.
Carolina Donat-VargasDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, CEI UAM+CSIC, Avda. Arzobispo Morcillo, n 4, 28029, Madrid, Spain. Carolina.donat.vargas@ki.se.ORCID 0000-0002-4523-4148
Belén Moreno-FrancoIIS Aragón, Hospital Universitario Miguel Servet, Universidad de Zaragoza, Zaragoza, Spain.
Helena Sandoval-InsaustiDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, CEI UAM+CSIC, Avda. Arzobispo Morcillo, n 4, 28029, Madrid, Spain.
Fernando CiveiraIIS Aragón, Hospital Universitario Miguel Servet, Universidad de Zaragoza, Zaragoza, Spain.
Martín LaclaustraIIS Aragón, Hospital Universitario Miguel Servet, Universidad de Zaragoza, Zaragoza, Spain.
Pilar Guallar-CastillónDepartment of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, CEI UAM+CSIC, Avda. Arzobispo Morcillo, n 4, 28029, Madrid, Spain.
Universidad de Zaragoza · ESMadrid Institute for Advanced Studies · ESHarvard University · USUniversidad Autónoma de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltra-processed food (UPF) consumption, which is increasing worldwide, has recently been associated with an increased risk of death and cardiovascular disease. We aimed to assess whether consumption of UPF is directly associated with subclinical coronary atherosclerosis in middle-aged men.

methodsA computed tomography scan was performed on 1876 men from the Aragon Workers' Health Study, recruited from January 2011 to December 2014, to assess coronary calcium. All participants were free of coronary heart disease. Dietary intake was collected by a validated 136-item semi-quantitative food frequency questionnaire. UPF was defined according to the NOVA classification. Associations between consumption of total energy-adjusted UPF and Coronary Calcium Agatston Score (CACS)-categorized into CACS of 0, > 0 and < 100, and ≥ 100-were cross-sectionally assessed by generalized ordered logistic regression adjusted for main confounders.

resultsNo coronary calcium was detected in 60.2% of the participants, whereas 10.2% had a CACS ≥ 100. A significant dose-response association was observed between energy-adjusted UPF consumption and the risk of having a CACS ≥ 100, when compared with those in the lowest CACS categories (CACS of 0 together with CACS > 0 and < 100). The fully adjusted ORs (95% CI) of having a CACS ≥ 100 across quartiles of energy-adjusted UPF consumption (approximately 100 g/day in the lowest quartile (ref.) and 500 g/day in the highest) were 1.00 (ref.), 1.50 (0.93, 2.42), 1.56 (0.96, 2.52), and 2.00 (1.26, 3.16), p trend .005.

conclusionIn this middle-aged worker's sample, approximately 500 g/day of UPF consumption was associated with a 2-fold greater prevalence of subclinical coronary atherosclerosis than consuming only 100 g/day, independently of total energy intake and other well-established cardiovascular risk factors.

Indexed as

AdultAtherosclerosisCoronary Artery DiseaseCross-Sectional StudiesFast FoodsFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsCoronary calciumCross-sectional cohort studyNutritional epidemiologySubclinical coronary atherosclerosisUltra-processed food

Identifiers

PMID32787915
PMCPMC7425006
OpenAlexW3048804581

What OpenQuestion holds

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LicenceCC BY
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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.