Nutrition as a Determinant of Successful Aging: Description of the Quebec Longitudinal Study NuAge and Results from Cross-Sectional Pilot Studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Optimal nutrition is essential for general well being, maintenance of physical and functional capacities and prevention of chronic disease in the elderly. The 5-year longitudinal study, NuAge, was designed to assess the pivotal role of nutrition on physical and cognitive status, functional autonomy and social functioning. A cohort of 1793 men and women, selected from three age groups (68-72, 73-77, 78-82) at recruitment, has been followed annually since 2003-2004. A plurimethodological approach, including basic, clinical, epidemiologic, and social research has been used. Data on various facets of nutritional status (diet, food habits, appetite, anthropometry and body composition), and functional (muscle strength, physical activity, physical and functional capacities and performance), medical (physical, mental and cognitive health, medication) and social data (network, support, participation) are collected by questionnaires or direct measurements. Blood, urine, and saliva samples are also collected and processed for genomic, transcriptomic, proteomic, and biochemical analyses and to study markers of endocrine, immune, and cognitive functions. Selected bio-psycho-social characteristics of the cohort, consumption of macronutrients, and biologic variables are presented, including the impact of intake of certain foods on total antioxidant status. Understanding the aging process as regulated by a modifiable factor such as nutrition should facilitate the development of targeted strategies for promoting successful aging.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it