Combined Healthy Lifestyle Behaviors: Metabolomic Effects and Implications for Type 2 Diabetes Prevention
Bibliographic record
Abstract
A combination of healthy lifestyle behaviors has been consistently associated with reduced risk of type 2 diabetes mellitus (T2DM) although these associations in a multiethnic cohort remain unknown. The aims of this research were to: 1) systematically review published literature on the metabolomic profile of combined healthy lifestyle behaviors and, 2) assess the associations between combined healthy lifestyle behaviors and incident T2DM in a multiethnic cohort. Three databases were searched for studies outlining the metabolomic profile of combined healthy lifestyle behaviors. Multivariable logistic regressions explored their associations with incident T2DM in a multiethnic cohort. Results showed: 1) a positive association between combined healthy lifestyle behaviors and beneficial fatty acids and phosphocreatine as well as inverse associations with TMAO and other biomarkers; and 2) a significant association (OR=0.85, CI: 0.75-0.96, p=0.009) with incident T2DM. Regular adoption of multiple healthy lifestyle behaviors leads to beneficial metabolomic changes and lower risk of T2DM.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".