Health behavior changes in adolescence and young adulthood: Implications for cardiometabolic risk.
Bibliographic record
Abstract
OBJECTIVE: Adolescence and young adulthood produce developmentally salient and contextual challenges for health behavior choices. The present study examines how changes in physical activity, nutrition, and sleep duration before and after high school graduation influence cardiometabolic risk (CMR) in adulthood (at ages 22-29). METHOD: Youth (N = 662; Time 1 ages 12-18; 48% male) were followed biannually across 10 years. Piecewise latent growth curve modeling was used to assess how changes in physical activity, nutrition, and sleep duration before and after high school influence CMR in young adulthood, accounting for baseline levels of each health behavior. Sex differences in associations were examined. RESULTS: Higher initial (baseline) levels of physical activity and nutrition predicted lower CMR. Increases in physical activity and nutrition before and after high school also contributed to lower CMR. When examined simultaneously, initial levels of physical activity and sleep duration (for female participants only) and increases in nutrition had independent effects on CMR. CONCLUSIONS: Prevention approaches that take into account the salient developmental and contextual differences in adolescence and young adulthood may improve efforts to prevent CMR. (PsycINFO Database Record
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".