Evidence map›Paper›PMID 31073885›Full record

Trial reportEuropean journal of nutrition2020

Adherence to a priori dietary indexes and baseline prevalence of cardiovascular risk factors in the PREDIMED-Plus randomised trial.

Ismael Alvarez-Alvarez, Estefanía Toledo, Oscar Lecea, Jordi Salas-Salvadó, Dolores Corella, Pilar Buil-Cosiales, María Dolores Zomeño, Jesús Vioque, J Alfredo Martinez, Jadwiga Konieczna and 27 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Food insecurity, dietary quality, and cardiovascular risk among early childhood cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

37 authors.

Ismael Alvarez-AlvarezDepartment of Preventive Medicine and Public Health, University of Navarra-IdiSNA, C/Irunlarrea 1, 31080, Pamplona, Navarra, Spain.
Estefanía ToledoDepartment of Preventive Medicine and Public Health, University of Navarra-IdiSNA, C/Irunlarrea 1, 31080, Pamplona, Navarra, Spain.
Oscar LeceaDepartment of Preventive Medicine and Public Health, University of Navarra-IdiSNA, C/Irunlarrea 1, 31080, Pamplona, Navarra, Spain.
Jordi Salas-SalvadóCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Dolores CorellaCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Pilar Buil-CosialesDepartment of Preventive Medicine and Public Health, University of Navarra-IdiSNA, C/Irunlarrea 1, 31080, Pamplona, Navarra, Spain.
María Dolores ZomeñoCardiovascular Risk and Nutrition, IMIM-Hospital del Mar Medical Research Institute, Barcelona, Spain.
Jesús VioqueCIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
J Alfredo MartinezCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Jadwiga KoniecznaCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Francisco J Barón-LópezDepartment of Public Health, University of Malaga-IBIMA, Málaga, Spain.
José López-MirandaCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Ramon EstruchCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Aurora Bueno-CavanillasCIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Ángel M Alonso-GómezCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Josep A TurCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Francisco J TinahonesCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Lluís Serra-MajemCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Vicente MartínCIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Manuel Ortega-CalvoCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Clotilde VázquezCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Xavier PintóCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Josep VidalCIBER Diabetes y enfermedades metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Lidia DaimielNutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
Miguel Delgado-RodríguezCIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Pilar MatíaInstituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain.
José I GonzálezCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Andrés Díaz-LópezCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Indira Paz-GranielDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana IISPV, Hospital Universitari Sant Joan de Reus, Rovira i Virgili University, Reus, Spain.
Miguel A MuñozGerencia territorial de Barcelona, Institut Català de la Salut, Barcelona, Spain.
Montse FitoCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Salvador Pertusa-MartinezNutritional Epidemiology Unit, Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain.
Itziar AbeteDepartment of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain.
Antonio García-RíosLipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain.
Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Miguel Ruiz-CanelaDepartment of Preventive Medicine and Public Health, University of Navarra-IdiSNA, C/Irunlarrea 1, 31080, Pamplona, Navarra, Spain.
Miguel Á Martínez-GonzálezDepartment of Preventive Medicine and Public Health, University of Navarra-IdiSNA, C/Irunlarrea 1, 31080, Pamplona, Navarra, Spain. mamartinez@unav.es.

Funding

Balearic Islands Government FUTURMed project: Talent for the medicine within the future from the Fundación Instituto de Investigación Sanitaria Illes BalearsConsejería de Salud, Junta de Andalucía PI0458/2013Consejería de Salud, Junta de Andalucía PS0358/2016Fundación Patrimonio Comunal Olivarero -Generalitat Valenciana PROMETEO grant [17/2017]H2020 European Research Council #340918Instituto de Salud Carlos III Acciones EspecialesInstituto de Salud Carlos III PI13/00233Instituto de Salud Carlos III PI13/00272Instituto de Salud Carlos III PI13/00462Instituto de Salud Carlos III PI13/00492Instituto de Salud Carlos III PI13/00673Instituto de Salud Carlos III PI13/00728Instituto de Salud Carlos III PI13/01056Instituto de Salud Carlos III PI13/01090Instituto de Salud Carlos III PI13/01123Instituto de Salud Carlos III PI13/02184Instituto de Salud Carlos III PI14/00618Instituto de Salud Carlos III PI14/00636Instituto de Salud Carlos III PI14/00696Instituto de Salud Carlos III PI14/00853Instituto de Salud Carlos III PI14/01206Instituto de Salud Carlos III PI14/01374Instituto de Salud Carlos III PI14/01722Instituto de Salud Carlos III PI14/01919Instituto de Salud Carlos III PI16/00366Instituto de Salud Carlos III PI16/00381Instituto de Salud Carlos III PI16/00473Instituto de Salud Carlos III PI16/00501Instituto de Salud Carlos III PI16/00533Instituto de Salud Carlos III PI16/00662Instituto de Salud Carlos III PI16/01094Instituto de Salud Carlos III PI16/01120Instituto de Salud Carlos III PI16/01522Instituto de Salud Carlos III PI16/01873Instituto de Salud Carlos III PI17/00215Instituto de Salud Carlos III PI17/00508Instituto de Salud Carlos III PI17/00525Instituto de Salud Carlos III PI17/00532Instituto de Salud Carlos III PI17/00764Instituto de Salud Carlos III PI17/00855Instituto de Salud Carlos III PI17/00926Instituto de Salud Carlos III PI17/01183Instituto de Salud Carlos III PI17/01347Instituto de Salud Carlos III PI17/01441Instituto de Salud Carlos III PI17/01732Instituto de Salud Carlos III PI17/01827International Nut & Dried Fruit Council 201302"la Caixa" Foundation 2013ACUP00194Ministerio de Economía, Industria y Competitividad, Gobierno de España FJCI-2015-24058Pistachios Growers and Almond Board of California -Sociedad Española de Medicos de Atencion Primaria SEMERGEN grant
6 · The paper itself

Abstract

purposeCardiovascular disease remains the global leading cause of death. We evaluated at baseline the association between the adherence to eight a priori high-quality dietary scores and the prevalence of individual and clustered cardiovascular risk factors (CVRF) in the PREDIMED-Plus cohort.

methodsAll PREDIMED-Plus participants (6874 men and women aged 55-75 years, with overweight/obesity and metabolic syndrome) were assessed. The prevalence of 4 CVRF (hypertension, obesity, diabetes, and dyslipidaemia), using standard diagnoses criteria, were considered as outcomes. The adherence to eight a priori-defined dietary indexes was calculated. Multivariable models were fitted to estimate differences in mean values of factors and prevalence ratios for individual and clustered CVRF.

resultsHighest conformity to any dietary pattern did not show inverse associations with hypertension. The modified Mediterranean Diet Score (PR = 0.95; 95% CI 0.90-0.99), Mediterranean Diet Adherence Score (MEDAS) (PR = 0.94; 95% CI 0.89-0.98), the pro-vegetarian dietary pattern (PR = 0.95; 95% CI 0.90-0.99) and the Alternate Healthy Eating Index 2010 (PR = 0.92; 95% CI 0.87-0.96) were inversely associated with prevalence of obesity. We identified significant inverse trend among participants who better adhered to the MEDAS and the Prime Diet Quality Score (PDQS) in the mean number of CVRF across categories of adherence. Better adherence to several high-quality dietary indexes was associated with better blood lipid profiles and anthropometric measures.

conclusionsHighest adherence to dietary quality indexes, especially Mediterranean-style and PDQS scores, showed marginal associations with lower prevalence of individual and clustered CVRF among elderly adults with metabolic syndrome at high risk of cardiovascular disease.

Indexed as

Heart Disease Risk FactorsAgedCardiovascular DiseasesCohort StudiesCross-Sectional StudiesDiet, HealthyDiet, MediterraneanFemaleGlobal HealthHumansInternationalityMaleMiddle AgedPatient CompliancePrevalenceDietary patternDyslipidemiasHypertensionMediterranean dietObesityType 2 diabetes

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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.