Dietary assessment of the ‘sweet enough program’ for primary school students in Chiang Mai, Thailand
Bibliographic record
Abstract
Background: Since 2007, Chiang Mai Public Health Office has conducted a campaign called “Chiang Mai On Wan” to decrease sugar consumption. The aim of this study was to evaluate the dietary patterns of students in schools participating in the program.Methods: The cross-sectional data were obtained from primary school children during November 2010 to February 2011. A total of 240 children were selected from Prathom 5 students (US Grade 5) in 12 schools. Sweet Enough Program (SEP) schools are those which implement public nutrition policies and supportive environments according to the Ottawa Charter, including no candy, no high-risk decay food or drink, and campaigns to reduce sugar consumption. Dietary patterns were collected using 7-day meal books in which each student recorded individual consumption.Results: Students in the SEP were found to have a much lower sugar intake than those in non-SEP schools. All students consumed candy, jelly and sweet snacks but the percentages of candy, jelly, and sweet snacks for SEP students were 1.7%, 3.4%, and 11.8%, respectively, while non-SEP students’ percentages were 26.4%, 11.6%, and 37.2%, respectively. There were significant differences between program school students and non-program school students with regards to candy (p<0.001), jelly (p=0.043), sweet crackers (p<0.001), biscuit (p<0.001), and chips (p<0.001).Conclusions: The success of this program is highlighted by the nutritional changes among the students. This was achieved by creating public health policies and supportive environments, as set out in the Ottawa Charter strategy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".