Exploring factors affecting attendance in a diabetes prevention program amongst first-generation Afghan immigrants residing in the Okanagan region of British Columbia
Bibliographic record
Abstract
Background: As global immigration escalates, host nations must adapt to the diverse needs of new arrivals (Chand & Tung, 2019; Hilado et al., 2021; WHO, 2023). Immigrants forced to leave their homes often lack opportunities to learn about healthy behaviours, resources to practice health behaviours, or access proper treatment, compared to those who have not experienced forced resettlement (Hilado et al., 2021; WHO, 2023). The resettlement processes can also deteriorate health, making immigrants particularly vulnerable to non-communicable diseases like Type 2 Diabetes (T2D) (Qureshi et al., 2023; Towne et al., 2021; Wagner et al., 2020). Factors such as low socio-economic status, resettlement stress, acculturation challenges and traumatic life events may contribute to lower participation rates in diabetes prevention programs within host communities (Brown et al., 2023; Joachim-Célestin et al., 2020; Khatri & Assefa, 2022; Nieto-Martínez et al., 2023; van der Boor et al., 2020). This study aimed to understand the barriers and facilitators to attending a diabetes prevention program (DPP) amongst first-generation Afghan immigrants in the Okanagan region of British Columbia (BC) with a social constructivism lens, using the Theoretical Domain Framework (TDF) to identify key domains influencing program attendance. Methodology: 10 participants engaged in semi-structured interviews to explore perceived barriers and facilitators to diabetes prevention program attendance. Data were analysed abductively, with TDF as the deductive framework and Braun and Clarke’s six phases for thematic analysis for inductive analysis (Braun & Clarke, 2006). Results: The analyses identified 146 facilitators and 39 barriers in total. The most frequently reported barriers affecting participant’s decision to attend a diabetes prevention program were coded as TDF domains: Knowledge, Environmental context and resources, and Social influence. Inductive coding resulted in three themes: 1. Deprivation of Life/Growth Opportunities, 2. Sociocultural and Environmental factors, and 3. Reciprocal community support. Conclusion: Findings of this study highlight the need for culturally tailored features in community-based diabetes prevention programs to enhance their acceptability and effectiveness in immigrant populations living in Okanagan, Canada. This study also highlights the importance of such programs in aiding immigrant integration into communities. Applying these findings can enhance program adaptation for newcomers and minorities in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".