PHYSICAL FITNESS, PHYSICAL ACTIVITY AND CORONARY HEART DISEASE RISK PROFILE
Bibliographic record
Abstract
The objective of this study was to determine the relative contributions of physical activity and physical fitness to the coronary heart disease (CHD) risk factor profile. The sample consisted of 253 males and 226 females 30–59 y of age from the Québec Family Study. The sum of six skinfolds, submaximal work capacity (PWC150), quadriceps muscle strength and the number of sit-ups performed in 60 seconds were used as indicators of physical fitness. Estimates of physical activity, including daily energy expenditure, moderate-to-vigorous physical activity, and time spent watching television were derived from a three-day activity record. The risk factor profile consisted of fasting HDL-C, LDL-C, triglycerides, glycemia, and mean arterial blood pressure. Bivariate correlations between physical activity and physical fitness variables and each component of the CHD risk profile were low to moderate. Canonical correlation was used to determine the multivariate association among physical activity, physical fitness and the risk factor profile. Canonical correlations reveal that in men 23.0% (r = 0.48, p < 0.0001) of the variation in the CHD risk profile was accounted for by physical fitness, and 6.5% (r = 0.26, p = 0.12) by physical activity. In women 22.9% (r = 0.48, p < 0.0001) and 7.9% (r = 0.28, p = 0.053) of the variance in the CHD risk profile was accounted for by physical fitness and physical activity, respectively. Thus, the results suggest that physical fitness is more related to the CHD risk factor profile than physical activity in both men and women. The difference in the strength of the relationships could potentially be explained by differences in measurement error, as physical fitness is typically more accurately measured than physical activity. Further research should be aimed at ascertaining the best predictors of the CHD risk profile, using more precise measures of physical activity and other lifestyle components. The Québec Family Study is currently supported by the Medical Research Council of Canada.
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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 | 0.000 |
| 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".