Persistence of Overweight among Young Children Living in Low Income Communities in Ontario
Bibliographic record
Abstract
OBJECTIVE: The rise in the prevalence of overweight in pediatric populations is a major health concern. Little is known however, about the prevalence of overweight in younger children. Our objectives were to determine the annual prevalence of overweight in children from junior kindergarten (JK) to grade 3; to assess the persistence of overweight over this time period; and, to identify factors associated with overweight in this group. METHODS: Annual interviews were completed with parents (primarily the mother) living in economically disadvantaged communities in Ontario who are participating in the Better Beginnings, Better Futures project. Weight and height were measured annually for the children (n=760) beginning in JK. Risk of overweight was defined as body mass index (BMI) >or= 85th to < 95th percentile; overweight was BMI >or= 95th percentile. Parents' height and weight were self-reported; BMI >or= 25 was considered overweight. RESULTS: The risk of overweight among children ranged from 14.1% to 17.5%; the prevalence of overweight increased from 9.9% to 15.2%; 68.2% (15/22) of the children who were overweight in JK were >95th percentile in grade 3. BMI >or= 85th to < 95th percentile or >or= 95th percentile in JK were strongly predictive of overweight in grade 3. Almost 50% of the mothers were overweight. CONCLUSIONS: A high prevalence of overweight was found in young children; and, for a large proportion, their early weight status persisted. Strategies promoting healthy eating and physical activity for both children and parents are essential.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".