NCDs burden among immigrant communities: global perspectives
Bibliographic record
Abstract
Abstract Background Globally, the burden of non-communicable diseases (NCDs) falls disproportionately on underserved populations. Immigrants are particularly vulnerable due to economic instability, social and institutional marginalization and persistent barriers to healthcare access. Structural discrimination and cultural differences further hinder their ability to find and use appropriate services, negatively impacting health outcomes. Methods An overview will be provided on NCDs burden among immigrants and public health challenges to promote prevention and management, showcasing the Canadian context. Results The rising prevalence of both physical and mental chronic conditions among immigrants is shaped by social and environmental determinants of health, alongside behavioural risks such as unhealthy diet, physical inactivity, sleep problems, low health literacy and limited access to care. Immigrants often face additional obstacles to preventive care and chronic disease management, including difficulties obtaining health insurance, linguistic and cultural barriers, fragmented health records and challenges associated with acculturation. Despite these trends, research on burden of NCDs and barriers to healthcare access among immigrant populations remains limited. In Canada, immigration has been a major driver of demographic and economic growth, with immigrants representing around 23% of the population. As the immigrant population grows, its health status will increasingly influence both the healthcare system and broader population health. Despite universal health coverage, evidence indicates that immigrants continue to experience inequities in accessing primary and specialist care, particularly for chronic and mental health conditions. Conclusions Addressing health disparities requires pragmatic public health policies aimed at reducing structural, cultural and social barriers, with a strong focus on improving access to chronic disease prevention, screening and management.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".