Changes in diet, and the relationship between diet and physical activity within and across the lifetime of current ultra-endurance exercisers
Bibliographic record
Abstract
BACKGROUND: There is currently no information on the lifetime diet of ultra-endurance exercisers. This study describes changes in diet across the lifetime of current ultra-endurance exercisers and the relationship between diet and physical activity (specifically ultra-endurance exercise [UEE]). METHODS: Lifetime physical activity and diet were assessed in current ultra-endurance exercisers (N.=120; ages 21-74 years) over six life periods (5-12, 13-18, 19-30, 31-45, 46-60, 61-75 years). Using the life period having the largest absolute increase in UEE (IUEE), diet was assessed according to food category scores and dietary patterns. Changes in lifetime diet were described by comparing food category scores between adjacent life periods. Differences in food category scores were investigated between the life period for each IUEE group and the preceding life period and associations between dietary patterns and UEE were investigated within each IUEE group. Relationships between lifetime diet and UEE were investigated by examining associations between lifetime food category scores and lifetime UEE. RESULTS: The participant group had significant increases in all food category scores from 13-18 to 19-30 years and significant decreases in all food category scores from 19-30 to 31-45 years. UEE correlated negatively with the Western style dietary pattern in the IUEE19-30 group and positively with the fruit and vegetable dietary pattern in the IUEE31-45 group. There was a positive correlation between lifetime UEE and lifetime vegetables and fruit category scores. CONCLUSIONS: The ultra-endurance exercisers in this study exhibited changes in diet similar to general populations, which appear to reflect typical nutritional requirements across the lifespan.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".