The association of adherence to 24-hour movement guidelines with frailty and mortality: cross-sectional and longitudinal analyses of NHANES data
Bibliographic record
Abstract
BACKGROUND: Adherence to the Canadian 24-Hour Movement Guidelines (24 H-MG) has been associated with a reduced risk of developing various chronic conditions. However, its association with frailty and all-cause mortality has not been investigated. Therefore, our primary and secondary objective was to investigate the association between adherence to the 24 H-MG and frailty and mortality, respectively. METHODS: This study included 2739 individuals (age = 50.6 ± 18.1 years; male = 1370 (50.0%)) from the 2005-2006 cycle of the National Health and Nutrition Examination Survey (NHANES). Frailty was quantified with a 46-item frailty index and analyzed cross-sectionally using linear regression. All-cause mortality data were obtained from the National Death Index and was analyzed prospectively over 10 years using Cox regression. The primary exposure variable was six individual and combined 24 H-MG components including the moderated-to-vigorous physical activity, light physical activity, sedentary time, recreational screen time, sleep, and strength training guidelines. All analyses were stratified into two age groups (younger: 20-64 and older adults 65 + years). RESULTS: Our cross-sectional analyses demonstrated an inverse dose-response relationship between the number of individual 24 H-MG components met and frailty level in adults aged 20-64 (β = -0.439 (95% C.I. = -0.551:-0.328)) and 65+ (β = -0.322 (95% C.I. = -0.490:-0.154)). Of the individual guideline components, following the moderate-to-vigorous physical activity (MVPA) guideline in individuals aged 20-64 and the recreational screen time guideline in adults aged 65 + was associated with lower frailty (p < 0.001). There was no clear prospective relationship between adherence to the combined 24 H-MG and mortality. Of the individual guideline components, only meeting the MVPA guideline component in the 65 + group was prospectively associated with reduced mortality risk (HR = 0.48 (95% C.I. = 0.25-0.93)). CONCLUSION: Adherence to the Canadian 24 H-MG may be protective against frailty. Increasing MVPA and decreasing recreational screen time may be important behaviors to consider for frailty prevention and should be investigated further.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".