Socioeconomic Inequalities in Intakes of Ultraprocessed and Minimally Processed Foods in Nationally Representative Samples of Adults in Canada: An Analysis of Trends between 2004 and 2015
Bibliographic record
Abstract
BACKGROUND: Individuals with a lower socioeconomic position (SEP) often have higher intakes of ultraprocessed food (UPF) and lower intakes of minimally processed food (MPF); however, studies have not examined trends in absolute and relative gaps and gradients in UPF and MPF intake using multiple indicators of SEP. OBJECTIVES: We examined within-year absolute and relative gaps and gradients in UPF and MPF intake and trends between 2004 and 2015 according to 6 indicators of SEP among nationally representative samples of adults in Canada. METHODS: Adults (≥18 y) in the Canadian Community Health Survey-Nutrition 2004 (n = 20,880) or 2015 (n = 13,970) reported SEP (individual and household education, household income adequacy, household food insecurity, neighborhood material and social deprivation) and completed a 24-h dietary recall. Multivariable linear regression assessed within-year absolute and relative gaps and gradients in the proportion of energy from UPF and MPF and trends between 2004 and 2015. RESULTS: The largest and most consistent within-year inequities in UPF and MPF intake were for individual and household educational attainment. Overall and among males, higher SEP groups had more favorable intakes over time based on trends in absolute and relative gaps and gradients in UPF and MPF intake by household food insecurity [for example, the absolute gap in UPF intake declined from -1.2% (95% confidence interval: -5.3%, 2.9%) to -7.9% of energy (95% confidence interval: -11.2%, -4.5%) in the overall population]. Overall and among males, lower SEP groups had more favorable intakes over time based on trends in absolute and relative gaps in UPF and MPF intake by neighborhood material deprivation. CONCLUSIONS: Socioeconomic inequalities in UPF and MPF intake were most pronounced for individual and household education. Between 2004 and 2015, several inequalities in UPF and MPF intake emerged according to household food insecurity (favoring higher SEP groups) and neighborhood material deprivation (favoring lower SEP groups).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".