Demographic and Anthropometric Variables Related to Longevity: Results from a Greek Centenarians’ Study
Bibliographic record
Abstract
Centenarian research contributes to expanding our knowledge on longevity and healthy aging. In Greece, a variety of studies have been conducted in order to explore exceptional longevity. This is a retrospective study of 106 centenarians employing both quantitative and qualitative measures in order to explore centenarians own perspective on longevity. Basic socio demographic and life style variables where associated with centenarians beliefs and perceptions about their longevity. The majority of centenarians attributed their longevity to God and to living a good life overall. God and social networks were reported as their main source of strength in order to continue living. Gender differences were also evident as male centenarians reported non abusive behaviors and a sense of having a measure in daily living, as well as nutrition as their main source of longevity, while female emphasized on God and social networks. Gender differences on Body Mass Index and Smoking are also evident. Centenarians own perception of longevity could be further explored and findings could be incorporated in future research and intervention programs aiming at healthy longevity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".