Nutrition status of primary school children in Townsville
Bibliographic record
Abstract
OBJECTIVE: Much of the ill health of Australian Indigenous populations can be attributed to diet-related diseases. Many of these diseases and the deleterious dietary choices are thought to begin in early childhood. This project therefore aimed to assess the nutritional health status of children in Townsville. It enabled the Townsville Aboriginal and Islander community to identify and redress nutrition-related issues considered important in improving the overall health status of their community. DESIGN: Baseline urinalysis, anthropometrics, general overall health assessment, dietary and exercise histories were collected. This screening was repeated annually. Diet and exercise histories were recorded biannually. SETTING: Based in three Northern Queensland health region (pre)primary schools with a high proportion of Indigenous children. RESULTS: Baseline results demonstrated that more children are overweight to obese than underweight. There was no significant difference in body mass index between Indigenous and Non-Indigenous children. Indigenous children were shown to consume less vegetable and dairy products and were significantly more likely to suffer from anaemia, iron depletion and eosinophilia than non-Indigenous children. Indigenous children were also twice as likely to have runny noses and are more than three times more likely to have skin sores. CONCLUSION: These results support that the health status of the Indigenous children is poorer than that of non-Indigenous children. They demonstrate an immediate need to implement culturally appropriate nutritional and exercise programs within the school environment to improve dietary habits and overall health. Implementation of nutritional, drinking and exercise programs may significantly improve these children's overall awareness and behaviour concerning nutrition and health.
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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".