Six-year trends and intersectional correlates of meeting 24-Hour Movement Guidelines among South Korean adolescents: Korea Youth Risk Behavior Surveys, 2013–2018
Bibliographic record
Abstract
BACKGROUND: Grounded in intersectionality theory, this study examined the 6-year prevalence trend and correlates in meeting Canada's 24-Hour Movement Guidelines (Guidelines hereafter) in a nationally representative adolescent samples of South Korea (officially the Republic of Korea). METHODS: Self-reported, annually repeated cross-sectional data collected between 2013 and 2018 were used (n = 372,433, 12-17 years old, 47.9% females). Adolescents were categorized as meeting or not meeting different sets of physical activity, screen time (ST), and sleep recommendations within the Guidelines, separately for weekdays and weekend days. Intersectional correlates included sex and social class (i.e., family economic status, parental education level, and academic performance). Multiple logistic regression analyses were performed. RESULTS: Overall, the proportion of adolescents meeting physical activity, ST, and sleep recommendations were 5.3%, 60.3%, and 10.2% on weekdays and 5.3%, 28.2%, and 46.4% on weekend days, respectively. Between 2013 and 2018, no substantial changes were observed for meeting the physical activity or sleep recommendation, while meeting the ST recommendation was markedly lower in 2018. The proportion of meeting all 3 recommendations were 0.5% for weekdays and 0.8% for weekend days. Overall, compared to female adolescents, male adolescents were consistently associated with more favorable patterns of meeting different sets of recommendations, regardless of social class. Among females only, social class appeared to be not important or even detrimental in meeting different sets of recommendations. Being male, compounded with social class, was associated with meeting the ST recommendation. CONCLUSION: Less than 1% of Korean adolescents met the overall Guidelines. Intersectionality-based analysis and intervention may be important in promoting healthy active lifestyles among South Korean 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".