Trends in adherence to the 24‐h movement guidelines among US adolescents from 2011 to 2019: Evidence from repeated cross‐sectional cycles of the Youth Risk Behavior Surveillance System
Bibliographic record
Abstract
BACKGROUND: Adherence to the 24-h movement guidelines is associated with various health benefits, but given the novelty of these integrative recommendations, little is known about year-to-year trends in guideline adherence in adolescents. This study investigated trends of adherence to the 24-h movement guidelines among US adolescents. METHODS: Data from 2011 to 2019 cycles of the Youth Risk Behavior Surveillance System were used, which included 62 589 US adolescents aged 14-17 years (female: unweighted sample size = 31 876, 51%; weighted% = 50.1%). Participants self-reported their demographic information (i.e., sex, age, race/ethnicity), physical activity, screen time and sleep duration. Meeting the 24-h movement guidelines was operationalized as simultaneously engaging in 60 min or more of moderate-to-vigorous physical activity, no more than 2 h of screen time, and 8-10 h of sleep per day. Trend analysis was used to examine the secular changes in adherence to the integrated guidelines from 2011 to 2019. RESULTS: Downward trends in adherence to the 24-h movement guidelines were observed among adolescents from 2011 (3.6%) to 2019 (2.6%). After stratification by sex, age, and race/ethnicity, similar downward trends in the guideline adherence were observed in females and Black/African American adolescents. The lowest prevalence of meeting the individual guidelines was for the PA guidelines (25.6%). Movement guideline adherence was consistently lowest among females, older adolescents, and those who identified as Black/African American. CONCLUSIONS: Adherence to the 24-h movement guidelines has declined among US adolescents over the past decade. Interventions should prioritize an integrative approach that could increase concurrent adherence to each of the 24-h movement guideline, particularly among female, older and minority adolescents.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".