Evidence map›Paper›PMID 31154492›Full record

ArticleEuropean journal of nutrition2020

Fluid and total water intake in a senior mediterranean population at high cardiovascular risk: demographic and lifestyle determinants in the PREDIMED-Plus study.

Indira Paz-Graniel, Nancy Babio, Luís Serra-Majem, Jesús Vioque, Maria Dolores Zomeño, Dolores Corella, Andrés Díaz-López, Xavier Pintó, Aurora Bueno-Cavanillas, Josep A Tur and 16 more

Abstract readMulticenter Study
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In one paragraph

Article 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 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

26 authors.

Indira Paz-GranielDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.ORCID http://orcid.org/0000-0002-3204-6877
Nancy BabioDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain. nancy.babio@urv.cat.
Luís Serra-MajemCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Jesús VioqueCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Maria Dolores ZomeñoCardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain.
Dolores CorellaCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Andrés Díaz-LópezDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.
Xavier PintóCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Aurora Bueno-CavanillasCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Josep A TurCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Lidia DaimielNutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
J Alfredo MartínezCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Nerea Becerra-TomásDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.
Eva Mª Navarrete-MuñozCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Helmut SchröderCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Rebeca Fernández-CarriónCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Adriana Ortiz-AndrellucchiCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Emili CorbellaCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Blanca Riquelme-GallegoCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Laura Gallardo-AlfaroCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Víctor MicóNutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.
Marian ZuletCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Laura BarrubésDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.
Montserrat FitóCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Miguel Ruiz-CanelaCentro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Jordi Salas-SalvadóDepartament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain. Jordi.salas@urv.cat.ORCID http://orcid.org/0000-0003-2700-7459

Funding

European Research Council ((Advanced Research Grant 2013-2018) 340918Generalitat Valenciana (ES) PROMETEO/2017/017Instituto de Salud Carlos III PI13/00462Instituto de Salud Carlos III PI13/01123Instituto de Salud Carlos III PI14/00636Instituto 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 PI16/00501Instituto de Salud Carlos III PI16/00533Instituto de Salud Carlos III PI16/01094Instituto de Salud Carlos III PI16/01873Instituto de Salud Carlos III PI17/00764Instituto de Salud Carlos III PI17/00926Instituto de Salud Carlos III PI17/01441Instituto de Salud Carlos III PI17/01827Instituto de Salud Carlos III (ES) PI13/00233Instituto de Salud Carlos III (ES) PI13/00272Instituto de Salud Carlos III (ES) PI13/00728"la Caixa" Foundation 2013ACUP00194Ministerio de Educación, Cultura y Deporte FPU 16/00165Ministerio de Educación, Cultura y Deporte FPU 17/01925Ministerio de Educación, Cultura y Deporte (ES) FPU 15/06147
6 · The paper itself

Abstract

purposeWe aimed to evaluate associations between compliance with recommendations for total water intake (TWI) and total water intake from fluids (TWIF), and some socio-demographic and lifestyle factors of a senior Mediterranean population at high cardiovascular risk.

methodsCross-sectional analysis with data of 1902 participants from the PREDIMED-Plus study. A validated 32-item Spanish fluid-intake questionnaire was used to assess beverage consumption and water intake. Multivariable logistic regression models were used to assess the odds ratio (OR) and the 95% confidence interval (CI) for complying with European Food Safety Agency recommendations for TWI and TWIF according to various socio-demographic and lifestyle factors, and for the joint associations of Mediterranean diet (MedDiet) adherence and moderate-vigorous physical activity (MVPA).

resultsThe mean total volume of fluid intake in the population studied was 1934 ± 617 mL/day. Water was the most frequently consumed beverage. Significant differences between sex were only observed in alcoholic and hot beverage consumption. Compliance with TWIF was associated with being women (OR 3.02; 2.40, 3.80), high adherence to MedDiet (OR 1.07; 1.02, 1.12), and participants who were more engaged in physical activity (PA) (OR 1.07; 1.02, 1.13). Age was inversely associated (OR 0.96; 0.94, 0.98). Similar results for TWI recommendations compliance were observed in relation to being women (OR 5.34; 3.85, 7.42), adherence to MedDiet (OR 1.16; 1.02, 1.31) and PA (OR 1.07; 1.00, 1.15). The joint association of PA and MedDiet, showed that participants with higher adherence to MedDiet and meeting WHO recommendations for MVPA complied better with the TWI recommendations (OR 1.66; 1.19, 2.32).

conclusionsHigh compliance with recommendations for TWI was associated with being a woman, and a healthy lifestyle characterized by high adherence to the MedDiet and PA.

Indexed as

DrinkingLife StyleAgedBeveragesCardiovascular DiseasesCross-Sectional StudiesDrinking WaterFemaleGeriatric AssessmentHealth BehaviorHumansMaleMiddle AgedRiskSex FactorsSociological FactorsDrinking WaterBeveragesFluid intakeMediterranean dietTotal water intake (TWI)

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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.