Evidence map›Paper›PMID 25616935›Full record

Trial reportEuropean journal of nutrition2016

Nutritional adequacy according to carbohydrates and fat quality.

Ana Sánchez-Tainta, Itziar Zazpe, Maira Bes-Rastrollo, Jordi Salas-Salvadó, Mónica Bullo, José Vicente Sorlí, Dolores Corella, M Isabel Covas, Fernando Arós, Mario Gutierrez-Bedmar and 10 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 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

20 authors.

Ana Sánchez-TaintaDepartment of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain. asanchez4@unav.es.
Itziar ZazpeDepartment of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain. izazpe@unav.es.
Maira Bes-RastrolloDepartment of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain. mbes@unav.es.
Jordi Salas-SalvadóBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. jordi.salas@urv.cat.
Mónica BulloBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. monica.bullo@urv.cat.
José Vicente SorlíBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain.
Dolores CorellaBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. dolores.corella@uv.es.
M Isabel CovasBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. MCovas@IMIM.ES.
Fernando ArósBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. aborau@secardiologia.es.
Mario Gutierrez-BedmarBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. bedmar@uma.es.
Miquel FiolBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. miquelfiol@yahoo.es.
F García de la CorteBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. pdelacorte@hotmail.com.
Lluis Serra-MajemBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. lserra@dcc.ulpgc.es.
Xavier PintoBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. xpinto@csub.scs.es.
Helmut SchröederIMIM-Hospital del Mar Medical Research Institute and CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain. hschroeder@imim.es.
Emilio RosBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. EROS@clinic.ub.es.
M Carmen López-SabaterDepartment of Nutrition and Food Science, Faculty of Pharmacy, University of Barcelona, Barcelona, Spain. mclopez@ub.edu.
Ramón EstruchBiomedical Research Centre Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain. restruch@clinic.ub.es.
Miguel Angel Martínez-GonzálezDepartment of Preventive Medicine and Public Health, School of Medicine-Clinica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008, Pamplona, Navarra, Spain. mamartinez@unav.es.
PREDIMED study investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the association between carbohydrate quality, fat quality or adherence to the Mediterranean diet and intake adequacy of 19 micronutrients in the PREDIMED (PREvención con DIeta MEDiterránea) trial, a multicenter, randomized, controlled, parallel group and primary prevention trial conducted in Spain.

methodsWe assessed baseline dietary intake of 6,542 elderly subjects at high cardiovascular risk through a validated food frequency questionnaire (FFQ) and a validated 14-item Mediterranean diet (Med-diet) score. We used a multidimensional carbohydrate quality index (CQI) using four criteria and a fat quality index (FQI) according to the ratio (MUFA + PUFA)/(SFA + TFA). The probability of intake adequacy was calculated comparing the intakes to DRI, and also using the probabilistic approach. Absolute and adjusted probability of having inadequate intake for either ≥6 DRI or ≥8 DRI were estimated to assess nutritional adequacy according to quintiles of each index.

resultsThe lowest prevalence of inadequate micronutrient intake (≥8 DRI) was found in the highest quintile of CQI or Med-diet score, and in the lowest quintile of FQI (adjusted fold risk: 1.4, 3.4 and 10.2 respectively in comparison with the lowest quintile). P for trend <0.001 in three multivariable models. A higher CQI or Med-Diet score and a lower FQI were significantly associated with a lower fold risk of unmet EAR values.

conclusionsA multidimensional assessment of CQI can be a useful tool to evaluate the quality of carbohydrates. This score and a 14-item Med-diet score were positively related to overall micronutrient adequacy in elderly participants.

Indexed as

Diet, MediterraneanNutritive ValueAgedAged, 80 and overBody Mass IndexCardiovascular DiseasesDietary CarbohydratesDietary FatsDietary FiberEnergy IntakeFatty AcidsFatty Acids, MonounsaturatedFatty Acids, UnsaturatedFemaleHumansLogistic ModelsDietary CarbohydratesDietary FatsDietary FiberFatty AcidsFatty Acids, MonounsaturatedFatty Acids, UnsaturatedMicronutrientsTrans Fatty AcidsCarbohydrate qualityFat qualityMediterranean dietMicronutrient adequacyPREDIMED trial

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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.