Adherence to the 24-Hour Movement Guidelines is related to a lower risk of all-cause mortality: A prospective cohort study of 14,288 participants from the SUN Project
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to examine the associations between adherence to the 24-Hour Movement Guidelines and all-cause and cause-specific mortality in a large Spanish prospective cohort. METHODS: We analyzed data from 14,288 participants of the Seguimiento Universidad de Navarra (SUN) Project, followed for a mean of 12.8 years (mean baseline age = 38.3 years; 60.1% women). Data were collected at baseline and through biennial follow-up questionnaires (up to 10 waves, depending on year of entry). The participants self-reported 24-h movement behaviors at baseline and were categorized based on the number of guidelines met (0-3). Behaviors were assessed at baseline only; changes in adherence during follow-up were not accounted for. Cox proportional hazards models were used to estimate hazard ratios (HRs) for all-cause and cause-specific mortality, adjusting for sociodemographic, lifestyle, and clinical covariates. RESULTS: Meeting a greater number of 24-Hour Movement Guidelines at baseline was associated with a progressively lower risk of all-cause mortality. Compared with those meeting none, the multivariable-adjusted HRs were 0.52 (95% confidence interval (95%CI): 0.33-0.82) for meeting 1 guideline, 0.47 (95%CI: 0.30-0.73) for meeting 2 guidelines, and 0.44 (95%CI: 0.28-0.71) for meeting all 3 guidelines. Only adherence to the physical activity guidelines was independently associated with a significantly lower mortality risk (HR = 0.70; 95%CI: 0.55-0.89). A reduced risk was also observed for cancer and other-cause mortality among those meeting 2 or more guidelines. CONCLUSION: Adherence to the 24-Hour Movement Guidelines at baseline, particularly physical activity, was associated with a lower risk of mortality. Promoting an integrated approach to movement behaviors may be an effective strategy for improving population health and longevity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".