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Record W4200052606 · doi:10.3389/fnagi.2021.782067

Mediterranean, DASH, and MIND Dietary Patterns and Cognitive Function: The 2-Year Longitudinal Changes in an Older Spanish Cohort

2021· article· en· W4200052606 on OpenAlexafffund
Stephanie Nishi, Nancy Babió, Carlos Gómez Martínez, Miguel Ángel Martínez‐González, Emilio Ros, Dolores Corella, Olga Castañer, 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, Vicente Martín, Xavier Pintó, Miguel Delgado‐Rodríguez, Pilar Matía-Martín, Josép Vidal, Clotilde Vázquez, Lidia Daimiel, Cristina Razquín, Óscar Coltell, Nerea Becerra‐Tomás, Itziar Abete, Carolina Sorto-Sánchez, Francisco Javier Barón-López, Antonio J. Signes‐Pastor, Jadwiga Konieczna, Antoni Sureda, Rosa Casas, Ana María Gómez-Pérez, José Manuel Santos‐Lozano, Ana García‐Arellano, Patricia Guillem‐Sáiz, Jiaqi Ni, María Trinidad Soria-Florido, M. Ángeles Zulet, Jessica Vaquero‐Luna, Estefanía Toledo, Montserrat Fitó, Jordi Salas‐Salvadó

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2021
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsSt. Michael's Hospital
FundersEuropean Research CouncilInstituto de Salud Carlos IIICanadian Institutes of Health ResearchCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas AsociadasEuropean Regional Development FundCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónGeneralitat ValencianaAlmond Board of California
KeywordsMedicineMediterranean dietDashOverweightMemory spanCohortCognitionCognitive declineProspective cohort studyCognitive testObesityGerontologyCohort studyDemographyDiseaseInternal medicineDementiaPsychiatryWorking memory

Abstract

fetched live from OpenAlex

Background and Aims: Plant-forward dietary patterns have been associated with cardiometabolic health benefits, which, in turn, have been related to cognitive performance with inconsistent findings. The objective of this study was to examine the relationship between baseline adherence to three a priori dietary patterns (Mediterranean, DASH, and MIND diets) with 2-year changes in cognitive performance in older adults with overweight or obesity and high cardiovascular disease risk. Methods: A prospective cohort analysis was conducted within the PREDIMED-Plus trial, involving 6,647 men and women aged 55–75 years with overweight or obesity and metabolic syndrome. Using a validated, semiquantitative 143-item food frequency questionnaire completed at baseline, the dietary pattern adherence scores were calculated. An extensive neuropsychological test battery was administered at baseline and 2-year follow-up. Multivariable-adjusted linear regression models were used to assess associations between 2-year changes in cognitive function z -scores across tertiles of baseline adherence to the a priori dietary patterns. Results: Adherence to the Mediterranean diet at baseline was associated with 2-year changes in the general cognitive screening Mini-Mental State Examination (MMSE, β: 0.070; 95% CI: 0.014, 0.175, P-trend = 0.011), and two executive function-related assessments: the Trail Making Tests Part A (TMT-A, β: −0.054; 95% CI: −0.110, − 0.002, P-trend = 0.047) and Part B (TMT-B, β: −0.079; 95% CI: −0.134, −0.024, P-trend = 0.004). Adherence to the MIND diet was associated with the backward recall Digit Span Test assessment of working memory (DST-B, β: 0.058; 95% CI: 0.002, 0.114, P-trend = 0.045). However, higher adherence to the DASH dietary pattern was not associated with better cognitive function over a period of 2 years. Conclusion: In older Spanish individuals with overweight or obesity and at high cardiovascular disease risk, higher baseline adherence to the Mediterranean dietary pattern may be associated with better cognitive performance than lower adherence over a period of 2 years.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
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 score0.004
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.281
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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

Citations54
Published2021
Admission routes2
Has abstractyes

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