Early to bed and early to rise: Does it matter?
Bibliographic record
Abstract
BACKGROUND: Controversy remains about whether early to bed and early to rise makes a man healthy, wealthy and wise (the Ben Franklin hypothesis), or healthy, wealthy and dead (the James Thurber hypothesis). METHODS: As part of the Determinants of Myocardial Infarction Onset Study, we determined through personal interviews the bedtimes and wake times of 949 men admitted to hospital with acute myocardial infarction. Participants reported their educational attainment and zip code of residence, from which local median income was estimated. We followed participants for mortality for a mean of 3.7 years. We defined early-to-bed and early-to-rise respectively as a bedtime before 11 pm and wake time before 6:30 am. RESULTS: Hours in bed were inversely associated with number of cups of coffee consumed (age-adjusted Spearman correlation coefficient r -0.07, p = 0.03). The mortality of early-to-bed, early-to-risers did not differ significantly from other groups. There was also no relation between bed habits and local income, nor with educational attainment. INTERPRETATION: Our results refute both the Franklin and Thurber hypotheses. Early to bed and early to rise is not associated with health, wealth or wisdom.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".