The effects of individual-level and area-level socioeconomic status on preferences and behaviour in leisure time physical activities: a cross-sectional analysis of Chinese adults
Bibliographic record
Abstract
This study examines the extent to which individual and area-level socioeconomic statuses (SES) correlate with the preferences and participation in physical activities during leisure time. A multistage, random clustered sample taken from the China Health and Nutrition Survey of 2015 was used. Results from multi-level analyses indicated that both individual income and area-level SES were significantly associated with participation in walking, whereas individual educational attainment was positively associated with participation in sports. Moreover, leisure preference mediated the relationship between individual SES, area-level SES, and participation in sports. Based on these findings, this article suggests that both individual and area-level influences should be taken into account when developing health policies to promote active lifestyles. In addition, mediation effect of leisure preference in LTPA should be emphasized when implementing intervention program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".