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Longitudinal changes in adherence to the portfolio and DASH dietary patterns and cardiometabolic risk factors in the PREDIMED-Plus study
Andrea J. Glenn, Pablo Hernández‐Alonso, Cyril W.C. Kendall, Miguel Ángel Martínez‐González, Dolores Corella, Montserrat Fitó, J. Alfredo Martínéz, Ángel M. Alonso‐Gómez, Julia Wärnberǵ, Jesús Vioqué, Dora Romaguera, José López‐Miranda, Ramón Estruch, Francisco J. Tinahones, José Lapetra, J. Luís Serra‐Majem, Aurora Bueno‐Cavanillas, Josep A. Tur, Sofía Reguero Celada, Xavier Pintó, Miguel Delgado‐Rodríguez, Pilar Matía‐Martín, Josép Vidal, Sebastián Mas, Lidia Daimiel, Emilio Ros, David J.A. Jenkins, Estefanía Toledo, José V. Sorlí, Olga Castañer, Itziar Abete, Anai Moreno Rodríguez, Olga Fernández-Barceló, Alejandro Oncina-Cánovas, Jadwiga Konieczna, Antoni Sureda, Rosa Casas, Ana María Gómez-Pérez, José Manuel Santos‐Lozano, Zenaida Vázquez‐Ruiz, Olga Portolés, Helmut Schröder, M. Ángeles Zulet, Sonia Eguaras, Itziar Salaverria‐Lete, María Dolores Zomeño, John L. Sievenpiper, Jordi Salas‐Salvadó
Bibliographic record
VenueClinical Nutrition · 2021
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversity of TorontoUniversity of SaskatchewanSt. Michael's Hospital
FundersObesity CanadaEuropean Research CouncilCanadian Institutes of Health ResearchInternational Sweeteners AssociationCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas AsociadasEuropean Regional Development FundCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónDepartament de Salut, Generalitat de CatalunyaEuropean Association for the Study of DiabetesHospital for Sick ChildrenInternational Nut and Dried Fruit CouncilGeneralitat ValencianaGeneralitat de CatalunyaSistema Nacional de InvestigadoresMinisterio de Ciencia e InnovaciónDiabetes CanadaEuropean CommissionCanadian Nutrition SocietyPeanut InstitutePhysicians' Services Incorporated FoundationCanadian Society of Endocrinology and MetabolismOntario Ministry of Research, Innovation and ScienceCanada Foundation for InnovationNational Honey BoardCalifornia Walnut CommissionPhysicians Committee for Responsible MedicineLoblaw Companies LimitedGovernment of CanadaEuropean Food Safety AuthorityInternational Life Sciences InstituteInstitució Catalana de Recerca i Estudis AvançatsSt. Michael's Hospital FoundationConsejería de Salud y Familias, Junta de AndalucíaNational Dried Fruit Trade AssociationGlycemic Index FoundationAbbott LaboratoriesEuropean Social FundCanadian Cardiovascular SocietyMinisterio de Educación, Cultura y DeporteOntario Research FoundationInstituto de Salud Carlos IIISoy Nutrition InstituteDairy Farmers of Canada
KeywordsMedicineDashOverweightWaistInternal medicineDASH dietMetabolic syndromeBody mass indexQuartileConfoundingObesityRandomized controlled trialPopulationPhysical therapyConfidence intervalEnvironmental healthBlood pressure
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.361
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.104
GPT teacher head0.385
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations51
Published2021
Admission routes2
Has abstractno