Understanding Heterogeneity in the Relationship Between Cancer and Hand Grip Strength: A Longitudinal Analysis
Bibliographic record
Abstract
This study examined whether the relationship between cancer and hand grip strength differs by sex and along the hand grip strength distribution. Using six waves of the Korean Longitudinal Study of Ageing (KLoSA) (N = 9735), sex-stratified unconditional quantile regression models with fixed effects were used to assess sex-specific effects of cancer for patients in different quantiles of the hand grip strength distribution. Cancer diagnosis was negatively associated with hand grip strength for males, but not females, and this sex difference was statistically significant. Quantile regression models showed that the stronger association between cancer and hand grip strength is observed among males with weaker hand grip strength. No statistically significant association was found between hand grip strength and cancer in females across the entire distribution of hand grip strength. This study provided evidence of the heterogeneity in the relationship between cancer and hand grip strength.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".