Familial aggregation of physical activity levels in the Quebec family study
Bibliographic record
Abstract
and parents was 27 and 53 yr, respectively. Methods: The levels of physical activity were estimated using a 3-d diary and a questionnaire dealing with physical activity during the past year. Results: An ANOVA performed on the age and sex adjusted physical activity phenotypes revealed that there were 1.40–1.52 times more variation in physical activity levels between families than within families (0.001 P 0.0001), suggesting that physical activity levels aggregate in families. Maximal heritabilities (SEGPATH), adjusted for the degree of spouse resemblance, reached 25%, 16%, 19%, and 17 % for the degree of inactivity, time spent in moderate to strenuous physical activities, total level of daily activity, and weekly time spent in the main activity during the previous year, respectively. Conclusion: These results suggest that physical activity level is characterized by a significant degree of familial resemblance, and that inactivity has a slightly higher heritability level than moderate to strenuous physical activity or total physical activity phenotypes. The pattern of familial correlations suggests that shared familial environmental factors along with genetic factors are also important in accounting for the familial resemblance in physical activity level. Key Words: LEISURE-TIME, PHYSICAL ACTIVITY, EXERCISE, FAMILY, HERITABILITY, GENETIC, ENVIRONMENTAL VARIATION Aphysically active lifestyle is known to have signif-icant health benefits and is a common goal of healthpromotion initiatives (27). From an epidemiological view, familial resemblance reflecting genetic and environ-mental factors shared by family members could be a major
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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".