<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Valle-Hita C</submitter><funding>Universitat Rovira i Virgili</funding><funding>ministerio de educación, cultura y deporte</funding><funding>conselleria d&amp;apos;educació, investigació, cultura i esport</funding><funding>European Research Council</funding><funding>conselleria d'educació, investigació, cultura i esport</funding><funding>"la caixa" foundation</funding><funding>consejería de salud, junta de andalucía</funding><funding>“la caixa” foundation</funding><funding>institut d&amp;apos;investigació sanitària pere virgili</funding><funding>institut d'investigació sanitària pere virgili</funding><funding>instituto de salud carlos iii</funding><pagination>3095-3108</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9363380</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>61(6)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS).&lt;h4>Methods&lt;/h4>We prospectively analyzed 5675 participants (55-75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min</pubmed_abstract><journal>European journal of nutrition</journal><pubmed_title>Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk.</pubmed_title><pmcid>PMC9363380</pmcid><funding_grant_id>PI19/00781</funding_grant_id><funding_grant_id>PI13/01123</funding_grant_id><funding_grant_id>PI19/00386</funding_grant_id><funding_grant_id>PI19/01032</funding_grant_id><funding_grant_id>PI13/00673</funding_grant_id><funding_grant_id>PI13/00233</funding_grant_id><funding_grant_id>PI13/00272</funding_grant_id><funding_grant_id>PI14/00728</funding_grant_id><funding_grant_id>PI16/00501</funding_grant_id><funding_grant_id>PI0137/2018</funding_grant_id><funding_grant_id>PI19/00309</funding_grant_id><funding_grant_id>PI16/01120</funding_grant_id><funding_grant_id>PI0458/2013</funding_grant_id><funding_grant_id>PI20/01802</funding_grant_id><funding_grant_id>PI16/00662</funding_grant_id><funding_grant_id>PI16/00473</funding_grant_id><funding_grant_id>PROMETEO/2017/017</funding_grant_id><funding_grant_id>PI16/01873</funding_grant_id><funding_grant_id>PI20/00886</funding_grant_id><funding_grant_id>PS0358/2016</funding_grant_id><funding_grant_id>PI17/01441</funding_grant_id><funding_grant_id>PI20/01532</funding_grant_id><funding_grant_id>PI14/00853</funding_grant_id><funding_grant_id>PI13/01056</funding_grant_id><funding_grant_id>PI14/00972</funding_grant_id><funding_grant_id>PI19/01560</funding_grant_id><funding_grant_id>PI14/00696</funding_grant_id><funding_grant_id>FPU17/06488</funding_grant_id><funding_grant_id>PI14/00618</funding_grant_id><funding_grant_id>PI13/02184</funding_grant_id><funding_grant_id>PI16/01094</funding_grant_id><funding_grant_id>number 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#340918</funding_grant_id><funding_grant_id>PI19/00576</funding_grant_id><funding_grant_id>PI19/01226</funding_grant_id><funding_grant_id>PI14/00636</funding_grant_id><funding_grant_id>PI14/01206</funding_grant_id><funding_grant_id>PI19/00017</funding_grant_id><funding_grant_id>PI16/00533</funding_grant_id><funding_grant_id>PI17/01183</funding_grant_id><funding_grant_id>Advanced Research Grant 2014–2019</funding_grant_id><funding_grant_id>PI17/00764</funding_grant_id><funding_grant_id>PI17/01732</funding_grant_id><funding_grant_id>PI20/00557</funding_grant_id><funding_grant_id>PI16/00381</funding_grant_id><funding_grant_id>PI17/00926</funding_grant_id><funding_grant_id>PI17/00525</funding_grant_id><funding_grant_id>PI14/01374</funding_grant_id><pubmed_authors>Babio N</pubmed_authors><pubmed_authors>Vioque J</pubmed_authors><pubmed_authors>Becerra-Tomas N</pubmed_authors><pubmed_authors>Toledo E</pubmed_authors><pubmed_authors>Goday A</pubmed_authors><pubmed_authors>Serra-Majem L</pubmed_authors><pubmed_authors>Lopez-Miranda J</pubmed_authors><pubmed_authors>Pinto X</pubmed_authors><pubmed_authors>Tinahones FJ</pubmed_authors><pubmed_authors>Cano-Ibanez N</pubmed_authors><pubmed_authors>Martinez JA</pubmed_authors><pubmed_authors>Lapetra J</pubmed_authors><pubmed_authors>Garcia VR</pubmed_authors><pubmed_authors>Morey M</pubmed_authors><pubmed_authors>Alonso-Gomez AM</pubmed_authors><pubmed_authors>Garcia-Rios A</pubmed_authors><pubmed_authors>Casas R</pubmed_authors><pubmed_authors>Estruch R</pubmed_authors><pubmed_authors>Delgado-Rodriguez M</pubmed_authors><pubmed_authors>Comas M</pubmed_authors><pubmed_authors>Moreno-Rodriguez A</pubmed_authors><pubmed_authors>Warnberg J</pubmed_authors><pubmed_authors>Diez-Espino J</pubmed_authors><pubmed_authors>Sorto-Sanchez C</pubmed_authors><pubmed_authors>Romaguera D</pubmed_authors><pubmed_authors>Sorli JV</pubmed_authors><pubmed_authors>Roca C</pubmed_authors><pubmed_authors>Candela-Garcia I</pubmed_authors><pubmed_authors>Zulet MA</pubmed_authors><pubmed_authors>Corella D</pubmed_authors><pubmed_authors>Abete I</pubmed_authors><pubmed_authors>Ros E</pubmed_authors><pubmed_authors>Salas-Salvado J</pubmed_authors><pubmed_authors>Ruiz-Canela M</pubmed_authors><pubmed_authors>Fernandez-Garcia JC</pubmed_authors><pubmed_authors>Diaz-Lopez A</pubmed_authors><pubmed_authors>Rubin-Garcia M</pubmed_authors><pubmed_authors>Vidal J</pubmed_authors><pubmed_authors>Matia-Martin P</pubmed_authors><pubmed_authors>Ortega-Azorin C</pubmed_authors><pubmed_authors>Tur JA</pubmed_authors><pubmed_authors>Fito M</pubmed_authors><pubmed_authors>Crespo-Oliva E</pubmed_authors><pubmed_authors>Santos-Lozano JM</pubmed_authors><pubmed_authors>Valle-Hita C</pubmed_authors><pubmed_authors>Martinez-Gonzalez MA</pubmed_authors><pubmed_authors>Daimiel L</pubmed_authors><pubmed_authors>Fontao SM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk.</name><description>&lt;h4>Purpose&lt;/h4>To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS).&lt;h4>Methods&lt;/h4>We prospectively analyzed 5675 participants (55-75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2025-04-04T08:45:07.866Z</modification><creation>2025-04-04T08:45:07.866Z</creation></dates><accession>S-EPMC9363380</accession><cross_references><pubmed>35366708</pubmed><doi>10.1007/s00394-022-02838-7</doi></cross_references></HashMap>