Modelling the Influence of Fat‐Free Mass and Physical Activity on the Decline in Maximal Oxygen Uptake with Age in Older Humans
Bibliographic record
Abstract
The purpose of this study was to use an allometric model (maximal oxygen uptake (VO2,max) = FFMbeta1 x PAbeta2 x exp(beta0 + beta3 age + beta4 sex) x epsilon) to determine the influence of fat-free mass (FFM), physical activity (PA), sex and age on VO2,max in older men (n = 152) and women (n = 146) aged 55-86 years. VO2,max was measured during a fatigue-limited treadmill test, FFM was determined from skinfold thickness and physical activity by the Minnesota Leisure Time Physical Activity questionnaire. The model was linearised by taking the natural logarithm of VO2,max, FFM and physical activity. Variables were selected using multiple linear regression (P < 0.05). The sex variable was not significant (P = 0.062). The model explained 72.1% of the variance in VO2,max. Significant individual coefficients were incorporated into the model yielding the following expression: VO2,max = FFM0.971 x PA0.026 x exp(-2.48-0.015age). Therefore, FFM and physical activity were significant factors contributing to the changes in VO2,max with age. In addition, controlling for FFM and physical activity abolished sex differences in VO2,max. The rate of decline in VO2,max (after accounting for FFM and physical activity) with age, was approximately 15% per decade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".