Comparison of physical activity patterns across large, medium and small urban areas and rural settings in the Otago Region, New Zealand.
Bibliographic record
Abstract
AIM: This study compared accelerometer-measured physical activity (PA) patterns in adolescents living in diverse urban and rural areas of Otago, New Zealand. METHOD: Participants (n=377; age: 14.9±1.4 years; 66.8% female; 23 schools) completed an online school travel survey, anthropometry and seven-day PA accelerometer assessment. Participants resided in large (n=237), medium (n=45) and small (n=44) urban areas or rural settings (n=51). RESULTS: Overall, participants participated in 54.4±21.0 minutes of moderate-to-vigorous physical activity (MVPA) daily and 35.0% met PA guidelines (school day vs weekend day: 40.8% vs 26.0%; p<0.001) with no difference across geographical settings. A greater proportion of males (43.2% vs 31.9%; p=0.016), school sport participants (70.1% vs 54.0%; p=0.005) and active-transport-to-school users (40.2% vs 26.1%) met PA guidelines compared to their counterparts. Compared to rural adolescents, those from large urban areas accumulated more MVPA during the school commute time (before school: 8.3±6.7 vs 5.3±3.8 minutes, p<0.001; after school: 10.1±6.0 vs 7.7±4.3 min, p=0.003), but overall spent more time sedentary (584.9±84.7 vs 527.8±88.2 minutes/day; p<0.001). CONCLUSION: PA in Otago adolescents is low, with significant differences by gender, sport participation, mode of travel to school and geographical setting. Increased PA should be encouraged in both urban and rural adolescents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".