Prevalence and determinants of hypertension in the adult Inuit population of Nunavik (northern Quebec, Canada)
Bibliographic record
Abstract
OBJECTIVES: To assess the prevalence of arterial hypertension among Inuit adults living in Nunavik (northern Quebec, Canada) in 2017 and identify its sociodemographic and lifestyle determinants. METHODS: We used data obtained from 1177 Inuit adults aged ≥ 18 years who participated in the cross-sectional Qanuilirpitaa? Nunavik Inuit Health Survey during late summer-early fall of 2017. Resting blood pressure (BP) and anthropometric characteristics were measured during a clinical session, while sociodemographic characteristics and lifestyle habits were documented using validated questionnaires. Information on current medication was retrieved from medical files. Sex-stratified population-weighted log-binomial regressions were conducted to identify determinants of hypertension, adjusting for potential confounders. RESULTS: Hypertension (systolic BP ≥ 140 mm Hg or diastolic BP ≥ 90 mmHg or taking antihypertensive medication) was present in 23% of the adult population and was more frequent in men than women (29% vs. 18%). About a third of hypertensive individuals (34%) were taking antihypertensive medication. These estimates are prone to biases due to the relatively low participation rate (37%). As expected, the prevalence of hypertension increased with age, but values were surprisingly elevated in 18 to 29-year-old men and women (18% and 8%, respectively) compared with 20 to 39-year-old adults of the general Canadian population (3% in both sexes, according to data from the Canadian Health Measures Survey, 2012-2015). Hypertension was associated with obesity and alcohol consumption in both men and women, and with higher socioeconomic status among men. CONCLUSION: This survey revealed a high prevalence of hypertension among young Nunavimmiut adults in 2017 and the need to improve hypertension diagnosis and treatment in the region. Curbing obesity and alcohol consumption, two actionable determinants of hypertension, will require improving food security and addressing the consequences of historical trauma linked to colonization.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".