Awareness of chronic disease diagnosis amongst family members is associated with healthy dietary knowledge but not behaviour amongst Inuit in Arctic Canada
Bibliographic record
Abstract
BACKGROUND: The extent to which awareness of chronic disease (CD) diagnosis affects one's healthy food knowledge, self-efficacy and intentions or healthy dietary and physical activity (PA) behaviours remains unexplored among Inuit in Canada. METHODS: A food frequency questionnaire and an adult impact questionnaire were used in a cross-sectional study to collect self-reported data on daily energy and nutrient intake, PA and the diagnosis of hypertension, diabetes, heart disease and cancer amongst adult Inuit and their family members. Associations between awareness of personal and family CD status and healthy food knowledge, self-efficacy and intentions, percentage of energy consumed from non-nutrient-dense foods and PA were assessed via ordinal logistic regression. RESULTS: Of the 266 participants, those who self-reported CD for both themselves and their relative(s) were more likely to have high healthy food knowledge [odds ratio (OR)=2.45] than those who did not. Reporting hypertension and heart disease amongst only relatives increased the likelihood of high knowledge (OR=5.20) and intentions (OR=5.10) for healthy eating. Heart disease in both participants and their relatives was associated with high levels of PA (OR=12.24). However, there were no associations when only participants (but not their relatives) reported having CD. A joint effect between a high level of education and awareness of CD was positively related to high food knowledge (OR=38.93). An inverse association between awareness of CD and unhealthy eating was not observed. CONCLUSIONS: Awareness of a relative having a CD was a more important factor in increasing knowledge and, to a lesser degree, self-efficacy or intentions to eat healthy than participants' awareness of personal CD. However, awareness was not associated with lower non-nutrient-dense food intake.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 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".