Exploring cross-sectional associations between unhealthy food outlet exposure and BMI z-score in elementary school children in London, Canada
Bibliographic record
Abstract
The food environment has been implicated in the continuing epidemic of childhood obesity in Canada. The purpose of this thesis is to examine associations between the food environment, childhood weight, and unhealthy diets using data collected by the Spatial Temporal Environmental and Activity Monitoring (STEAM) project conducted among children (N=852) aged 9 to 14 years in Southwestern Ontario between 2010 and 2013. Global Positioning System (GPS) monitors and Geographic Information Systems (GIS) were used to determine the time children spent within 100m of an unhealthy food outlet on weekdays. Structural equation modeling was used to assess the effect of exposure to fast food and variety stores on children’s weight, mediated by unhealthy dietary intake, stratified by sex. There were no significant associations between food outlet exposure and weight for males or females, nor was unhealthy diet a significant mediator of this relationship. Future work and public health implications are discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".