The relationship between diet quality and the severity of household food insecurity in Canada
Bibliographic record
Abstract
OBJECTIVE: To examine the relationship between the dietary quality of Canadian children and adults and household food insecurity status. DESIGN: Dietary intake was assessed with one 24-h recall. Households were classified as food secure or marginally, moderately or severely food insecure based on their responses to the Household Food Security Survey Module. We applied multivariable analyses of variance to determine whether % energy from ultra-processed foods, fruit and vegetable intake, Healthy Eating Index (HEI) scores, macronutrient composition and micronutrient intakes per 1000 kcal differed by food insecurity status after accounting for income, education and region. Analyses were run separately for children 1-8 years and 9-18 years and men and women 19-64 years of age. SETTING: Ten provinces in Canada. PARTICIPANTS: Respondents to the 2015 Canadian Community Health Survey-Nutrition, aged 1-64 years, with complete food insecurity data and non-zero energy intakes, N 15 909. RESULTS: Among adults and children, % energy from ultra-processed foods was strongly related to severity of food insecurity, but no significant trend was observed for fruit and vegetable intake or HEI score. Carbohydrate, total sugar, fat and saturated fat intake/1000 kcal did not differ by food insecurity status, but there was a significant negative trend in protein/1000 kcal among older children, a positive trend in Na/1000 kcal among younger children and inverse associations between food insecurity severity and several micronutrients/1000 kcal among adults and older children. CONCLUSIONS: With more severe household food insecurity, ultra-processed food consumption was higher, and diet quality was generally lower among both adults and children.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".