Neighbourhood chronic stress and gender inequalities in hypertension among Canadian adults: a multilevel analysis
Bibliographic record
Abstract
BACKGROUND: A growing body of literature regarding the contextual influences of 'place' effects on health increasingly demonstrates that living in neighbourhoods with high levels of deprivation is associated with worse cardiovascular outcomes; however, little research has explored whether neighbourhood deprivation has a differential impact on the cardiovascular health of men and women. The purpose of this study was to explore gender differences in the association between neighbourhood deprivation and the prevalence of hypertension among non-institutionalised Canadian adults. METHODS: Individual-level data from the Canadian Community Health Survey (2000-2005) were combined with area-level data from the 2001 Canada Census to assess the relationship between gender, neighbourhood deprivation and hypertension using multilevel regression. RESULTS: Of the 103,419 respondents, 20 705 reported having hypertension (17.6%). In multilevel models, neighbourhood deprivation was significantly associated with hypertension and this effect remained significant after adjusting for individual-level demographic, socioeconomic and lifestyle characteristics (OR 1.12, 95% CI 1.10 to 1.15). Neighbourhood deprivation appears to be a stronger predictor of hypertension among women, such that women living in areas of high deprivation were 10% more likely to report having hypertension in comparison with men living in the same neighbourhoods and with women living in the least impoverished neighbourhoods. CONCLUSIONS: Although future research is needed to determine whether interventions at the area-level are effective in reducing inequalities in health outcomes across neighbourhoods, policies aimed at reducing area-level deprivation may have a differential benefit on the cardiovascular health of men and women.
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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 | 0.015 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".