Nutrient Intakes of Canadian Children and Adolescents: Results from the Canadian Community Health Survey (CCHS) 2015 – Nutrition Public Use Microdata Files
Bibliographic record
Abstract
<title>Abstract</title> <bold>Background:</bold> Up-to-date and appropriate estimates of the usual intakes of key nutrients are crucial for monitoring the nutritional adequacy of the Canadian population. Comprehensive, nationally-representative nutrient estimates for Canadian children and adolescents are available using data from the Canadian Community Health Survey (CCHS) – Nutrition 2004, however results are scarce for the most-recent 2015 data. The objective of this research was to assess nutrient intakes of Canadian children and adolescents using data from the CCHS 2015 Public Use Microdata Files (PUMF) <bold>Methods:</bold> Participants’ first 24-hr dietary recall, and the second-day recall from a subset of participants were used to estimate usual intakes of macronutrients, vitamins and minerals in children and adolescents (2-18 years). Usual intakes by Dietary Reference Intake (DRI) age-sex groups were estimated using the National Cancer Institute (NCI) method, adjusted for age, sex, misreporting status, weekend/weekday, and sequence of recall analyzed (first/second), with consideration for outliers (<italic>N</italic>=5,493). Usual intakes from food and beverages were assessed for prevalence of inadequacy in relation to the DRI recommendations. <bold>Results:</bold> Children 2-3y consumed a percentage of total energy from protein above the Acceptable Macronutrient Distribution Range (AMDR). Among children and adolescents, 71% met the AMDR for carbohydrates and 63-71% met the AMDR for total fat. With the exception of calcium and vitamin D, a very low prevalence (<10%) of inadequate intakes was observed for select micronutrients among Canadian children 2-8y, while a substantial proportion of adolescents (>15%) did not meet requirements for vitamin A, vitamin C, vitamin D, calcium, magnesium and zinc.<bold>Conclusions:</bold> Canadian children and adolescents may not be meeting recommendations for short fall nutrients such as calcium, potassium, vitamin A and vitamin D. Fibre intake continues to remain low, while sodium intake exceeded recommendations. These findings provide important, updated baseline estimates on the nutrient intakes of this subpopulation in Canada for continued monitoring of adherence to the 2019 Canada’s Food Guide and may be useful to inform future public health nutrition policies, programs and initiatives.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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".