Trends in energy and nutrient supply in Trinidad and Tobago from 1961 to 2007 using FAO food balance sheets
Bibliographic record
Abstract
OBJECTIVE: Trinidad and Tobago has experienced an epidemiological transition over recent decades characterised by reduced rates of communicable diseases but rapidly increasing rates of obesity and non-communicable chronic diseases. The objective of the present study was to investigate the changes in energy and nutrient supply that have taken place in Trinidad and Tobago between 1961 and 2007. DESIGN: Food balance sheets for each year between 1961 and 2007 were downloaded from the FAOSTAT database and daily per capita supply for seventeen food commodity groupings was calculated. After appropriate coding, energy and nutrient supply were determined using dietary analysis software. SETTING: FAO food balance sheets for Trinidad and Tobago from 1961 to 2007. SUBJECTS: None. RESULTS: The food supply in 2007 provided an extra 1561 kJ (373 kcal)/capita per d than it did in 1961. Energy from carbohydrate as a percentage of total energy fell from 62% in 1961 to 57% in 2007, whereas energy from fat as a percentage of total energy increased from 26% to over 30% and now lies at the upper end of WHO recommendations. Sugars increased from 20% to over 26% of total energy and are well above WHO recommendations. When expressed on a nutrient density basis, supplies of vitamin A, folate and Ca are lower than WHO recommendations. CONCLUSIONS: Nutritional imbalances in the Trinidadian food supply need to be addressed to combat the rise in nutrition-related chronic disease that is projected to cause increased disability and premature death in the country in the coming years.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".