Social Determinants Influencing the Non-Adoption of Norms Favorable to the Prevention and Control of Type 2 Diabetes: Qualitative Research
Bibliographic record
Abstract
Diet, physical activity, and body shape play an essential role in the development of type 2 diabetes (T2D) and are the social dimensions most targeted by health professionals in their practices or intervention aimed at preventing and controlling T2D. However, several interventions focus more on individual factors and less on social determinants likely to influence the adoption of dietary, body, and physical activity standards favorable to the prevention and control of T2D. This study aims to explore the social determinants influencing the rejection or adoption of dietary, bodily, and physical activity norms favorable to the prevention and control of T2D among migrants from sub-Saharan Africa. A qualitative exploratory design guided data collection and analysis. Semi-structured qualitative interviews and focus groups were conducted between October 2022 and March 2023 in Montreal and Quebec Cities. The cost of food, the difficulty of accessing certain foods, a reliable level of income, work schedules, the gazes of relatives or communities, migration policies, disappointment and stressful situations linked to migratory status, racial microaggressions, and the lack of food guides adapted to the realities of MASS were the main determinants identified by the participants. These determinants can influence the adoption of public health recommendations on diet for the prevention and control of T2D. People living with T2D obviously have an important role to play, but much of the work lies outside their control. Therefore, Preventive, clinical, or awareness-raising interventions should more consider the life and structural contexts in which these people navigate without ignoring their pre-migratory rules of dietary, body, and physical activity norms.
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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 | 0.005 | 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 | 0.000 | 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".