An intercultural and semi-confessional reflection on blood donation
Bibliographic record
Abstract
Background A life course approach has been suggested as the most appropriate to establish the total impact of socioeconomic status (SES) on adult health outcomes; however, such an approach has been poorly used within Mediterranean populations. We aimed to examine the SES trajectories from childhood to adulthood associated with mortality risk in a large general population-based cohort and to test potential pathways (eg, inflammation) underlying such associations. Methods Longitudinal analyses on 22 194 subjects recruited in the Moli-sani Study, Italy (2005–2010). Low and high SES in childhood, educational attainment (low/high) and SES during adulthood (measured by a score including material resources and dichotomised as low/high) were used to define overall trajectories. Results Over 8.3 years of follow-up, 1155 deaths occurred. In the group with poor childhood SES, an upward trajectory in both educational and material circumstances was associated with lower risk of all-cause death (HR=0.64; 95% CI 0.47 to 0.87), as opposed to subjects who remained stably low (low education and adulthood SES). Subjects with high childhood SES, but not educational achievement, were at increased risk of total and cardiovascular disease (CVD) death, although reporting higher material SES in adult life, as compared with the stably high SES group (HR=1.44; 1.02 to 2.02 and HR=1.90; 1.10 to 3.28, respectively). Inflammatory markers marginally accounted for such associations. Conclusion For individuals with low SES in early life, an educational and material upward trajectory over the life course was associated with lower mortality risk. In the high SES childhood group, lack of a higher educational attainment appeared to be unfavourably associated with survival.
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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 | 0.023 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".