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Record W7158439452

Relación entre el estilo de vida y la reserva cognitiva en población adulta mayor de Costa Rica

2024· dissertation· es· W7158439452 on OpenAlexaboutno aff
Paula Garro-Ramírez, Elena Peña-Zúñiga

Bibliographic record

VenueRe-Unir (International University of La Rioja) · 2024
Typedissertation
Languagees
FieldMedicine
TopicAging, Health, and Disability
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionMetropolitan areaPopulationPeninsulaLife styleCognitive reserveOlder peopleAffect (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

The following investigation analyzes the integration of the cognitive state, cognitive reserve, and lifestyle in a sample of thirty inhabitants of the Great Metropolitan Area (GAM), as well as thirty inhabitants from the Nicoya Peninsula (considered “Blue Zone”), representing both the urban and rural landscape of Costa Rica. The investigation employed the Montreal Cognitive Assessment (MoCA), the CRC Cognitive Reserve Questionnaire, and the Healt-Pro-moting Lifestyle Profile (HPLP) through a non-experimental descriptive methodology. Amongst the results it can be remarked that there were no statistically significant differences found between populations in cognitive reserve nor cognitive state. Nonetheless, regarding the lifestyle variable, results demonstrate a significant difference favoring Nicoya Peninsula. The main predominant variables in life style in the studied population were exercise as a biological variable, and the self-actualization as a psychological variable. Cognitive health has thus been concluded as an influential element in healthy aging processes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.071
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.294
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueRe-Unir (International University of La Rioja)Same topicAging, Health, and DisabilityFrench-language works237,207