S-49-4: URINARY BIOMARKER ANALYSES ON JAPANESE, MEDITERRANEAN AND EURO-WESTERN POPULATIONS: WHICH IS BETTER FOR POST-PANDEMIC LONGEVITY?
Bibliographic record
Abstract
Objective: Since nutrition could extend lifespan even in stroke-prone rats developing stroke genetically, our WHO-Collaborating Center for Primary Prevention of Cardio-vascular Diseases (CVD) started world-wide hearth examination to investigate nutrition good for healthy longevity by collecting 24-hour urine (24U) samples. Design: Urinary biomarkers of nutritions, sodium for salt, potassium (K) for vegetables and fruits, isoflavones(Is) for soy, taurine(Ta) for fish and magnesium (Mg) for beans and nuts were analyzed in 24U among 4211 participants (49.7% females(F)), aged 48–56 years in 50 populations from 22 countries according to WHO-CARDIAC(Cardiovascular Diseases and Alimentary Compression) Study Protocol, and studied comparatively in 6 Japanese(J), 6 Mediterranean(M) populations from Greece, Italy(2), Spain(2), Portugal and 6 Euro-Western(EW) populations from Sweden, Ireland, Scotland, Canada, Australia, New Zealand. Results with Discussion: The quintile analyses of Ta and Mg/creatine ratio in the world were inversely associated with CVD risks. The Odds ratios of obesity, hypercholesterolemia and hypertension in the lowest quintile of both Ta and Mg were 6.3, 4.6 and 1.8, respectively. J and M populations had significantly higher Ta and Mg therefore, lower CVD risks than EW, but J and M took more salt increasing the risk of stroke (Table 1). Despite the high salt intake, M had the merit of significantly high K intake to attenuate the adverse salt effect. J had a merit to take Is from soy containing Mg. Since Is intake was inversely associated with lower BMI in the world populations, high Japanese Mg intake was related to high Is intake which was inversely associated with obesity in Japan. In fact, the Japanese populations who took significantly higher T and Mg had lower BMI as well as higher HDL and folic acid in the blood, expected to prevent atherosclerosis and dementia. In contrast to M and EW, particularly severe obesity over BMI 30 was obviously less in J, ranking 182nd among 190 populations (WHO). The mortality rates of COVID-19 were significantly positively related to the ratio of severe obesity among 20 major countries in the world and this mortality was obviously lower in J, suggestive of the potential of J diet for post-pandemic longevity. Conclusion: 24U biomarker analyses indicated low-salted J and M diets are recommendable for CVD prevention. J diet is so far better than M diet because of lower CVD risks such as obesity and lipidemia, which were proven by urinary biomarkers to be related with traditional fish and soy intakes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".