Understanding food westernisation and other contemporary drivers of adult, adolescent and child nutrition quality in urban Vietnam
Bibliographic record
Abstract
OBJECTIVE: To examine the association between consumption of western foods purchased and consumed away from home and measures of nutrition quality: average daily caloric intake and macronutrient (carbohydrates, fat and protein) shares, for urban consumers in Vietnam, a country undergoing economic transition. DESIGN: Cross-sectional observational data were collected using household surveys and 24-h food diaries. Outcome variables were individual average daily caloric intake and shares of calories from macronutrients: carbohydrates, fat and protein. The key explanatory variable was individual daily share of calories from western food purchased and consumed away from home. Ordinary least squares and multivariate regression analyses were used to examine the association between the outcome variables: caloric intake and macronutrient shares and the share of calories from western food consumed away from home. SETTING: Hanoi and Ho Chi Minh City in Vietnam. PARTICIPANTS: In total, 1685 households and 4997 individuals, including adults (aged $$ \ge $$ 18 years), adolescents (aged 10-17 years) and children (aged 0-9 years). RESULTS: The share of calories from western food away from home was significantly associated with higher caloric intake among male and female adults (P < 0·01), adolescents (P < 0·01) and male children (P < 0·10) and was associated with higher shares of fat for male and female adults (P < 0·01), adolescents (P < 0·01) and male children (P < 0·01). CONCLUSIONS: Policymakers must be conscious of the numerous factors associated with poor nutrition quality, especially in younger Vietnamese individuals. Relevant interventions targeting at risk groups are required if nutrition improvement is a long-term goal.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".