Obesity- Related Health Risk: A Trajectory Based Approach
Bibliographic record
Abstract
The purpose of this study was to evaluate the Edmonton Obesity Staging System (EOSS) approach as a tool for the identification of obesity-related health risk. Using 20 years of follow-up data from the Coronary Artery Risk Development in Young Adults (CARDIA) study (N=5115; age 18-34), trajectory modelling analysis was used to identify distinct clusters of individuals following similar patterns of obesity using modified EOSS criteria. The final model acquired through the Proc Traj macro suggests that there are 4 distinct EOSS stage-increase trajectories. After adjusting for covariates, individuals in the medium risk trajectory were twice more likely to follow protein consumption guidelines (OR=2.08 95% CI=1.18-3.65), 47% less likely to be black (0.53, 0.37-0.76), 43% less likely to have a history of dieting (0.57, 0.37-0.86), and were also less likely to be either occasional (0.51, 0.29-0.9) or frequent (0.25, 0.14-0.45) weight cyclers when compared to the highest risk trajectory.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".