Prevalence of overweight, obesity and underweight in Western Australian school-aged children; 2008 compared with 2003
Bibliographic record
Abstract
OBJECTIVE: Due to rising rates of obesity globally, the present study aimed to examine differences in overweight and underweight prevalence in Western Australian schoolchildren in 2008 compared with 2003. DESIGN: Cross-sectional study at two time points; using two-stage stratified sampling, primary and secondary schools in both metropolitan and non-metropolitan Western Australia; sample selected was representative of the State's population figures. SETTINGS: Seventeen primary and thirteen secondary (2008) and nineteen primary and seventeen secondary (2003) schools. Government and non-government funded schools in metropolitan and non-metropolitan (regional/rural) Western Australia were recruited. SUBJECTS: Height and weight were measured for 1708 (961 primary and 747 secondary) students in 2008 and 1694 (876 primary and 817 secondary) students in 2003. RESULTS: Overweight and obesity prevalence in primary students was similar in 2008 (22·9 %) to 2003 (23·2 %; P > 0·05). In secondary girls overweight and obesity prevalence dropped from 23·1 % (2003) to 15·9 % (2008; P = 0·002). Secondary boys showed a slight decrease in overweight and obesity prevalence; however, this was not statistically significant (P = 0·102). Higher proportions of underweight in primary girls were observed in 2008 (9·9 %) compared with 2003 (4·2 %; P < 0·001) and in secondary girls in 2008 (9·4 %) compared with 2003 (5·5 %; P < 0·001). CONCLUSIONS: Prevalence of overweight and obesity in Western Australian primary students was stable; however, it declined in secondary students. Both primary and secondary girls showed an increase in underweight prevalence. Public health interventions are needed for the high percentage of youth still overweight, whereas the observed increase in underweight girls warrants attention and further investigation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".