Dietary practices and influences on diet intake among women in a Woodland <scp>C</scp>ree community
Bibliographic record
Abstract
BACKGROUND: Overweight and obesity are increasing concerns among Aboriginal women, and lifestyle behaviours (i.e. dietary patterns and physical activity) are considered to be contributing factors. The present study aimed to explore the social, cultural, behavioural and environmental factors influencing diet intake from a trans-generational perspective and to characterise the dietary practices among Woodland Cree women. METHODS: A mixed methods design using a concurrent triangulation approach explored the factors influencing diet intake and healthy eating among First Nations women on a reserve community in northern Saskatchewan, Canada. Dietary practices were assessed using 24-h recalls. RESULTS: Dietary analysis revealed low intake of fruits and vegetables and milk and alternatives in the sample, with high intake of 'other' foods. Limited amounts of traditional food (TF) were reported. Taste primarily influenced food choice, with a preference for TF highlighted among older participants. Healthy eating was considered to be a health-promoting behaviour, yet a lack of availability, high costs and difficulties accessing various foods were the most noted barriers to healthy eating. CONCLUSIONS: The dietary practices in this sample indicate the limited consumption and variety of TF and fruits and vegetables, and a high consumption of 'other' foods, which suggests inadequate intakes of various vitamins and nutrients. The findings from a trans-generational perspective highlight various barriers across the age groups that can substantially impact food choices, and reinforces the need for community and age-specific strategies to address issues of exposure, accessibility and affordability to nutritious foods that improve the diet and preserve cultural identity among residents living in reserve communities.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".