"Out and about": relationships between children's independent mobility and mental health in a national longitudinal study
Bibliographic record
Abstract
Children's independent mobility (CIM) represents their freedom to travel in their neighborhood without adult supervision. Secular declines in CIM coincided with a major increase in mental health problems among children. We investigated relationships between two indicators of CIM and parent-perceived child distress in a national longitudinal study involving 2,291 Canadian parents of 7- to 12-year-olds at baseline (December 2020) with up to four follow-ups, every six months. We assessed mobility licenses (i.e. children's permission to do certain activities on their own) with 6 items, and home range (i.e. how far [in minutes] children can roam with friends and/or siblings) with a 4-point item. We used generalized estimating equations controlling for children's age and gender, household income, study wave, school attendance, and COVID-19 isolation in the week preceding the survey. At each successive time point, 51.8%, 44.0%, 43.2% and 42.4% of children experienced clinically elevated distress. Compared to children allowed to roam for 15 minutes (OR = 0.61; 95% CI: 0.51-0.72) had lower odds of elevated distress. However, CIM licenses were not associated with distress. Our findings underscore the need to support extending children's home range.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".