Strategies to support healthy food choices for adults living with low socioeconomic status and type 2 diabetes mellitus: an integrative literature review
Bibliographic record
Abstract
Type 2 diabetes mellitus (T2DM) is an increasing concern in Canada, with low socioeconomic status being a major risk factor. This review explores strategies to improve food access that promote healthy food choices among people experiencing food insecurity and living with T2DM. Whittemore and Knalf’s (2015) integrative literature review methodology was used to extract and analyse the evidence. Four key strategies emerged: 1) promoting healthy food affordability through incentives and disincentives, 2) understanding effective and ineffective food interventions, 3) enhancing nutritional education in the standard of care, and 4) manifesting empowerment through self-efficacy and diabetes management. These strategies can be applied by nurse practitioners within primary care. Aligned with a population health approach, they can direct practice, education, and research through healthy public policy focused on reducing the incidence of T2DM, particularly in people experiencing food insecurity.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".