Social inequity, gender and Helicobacter pylori infection in Arctic Canada
Bibliographic record
Abstract
Helicobacter pylori (Hp) infection has an elevated prevalence in northern Indigenous communities in Canada. This thesis investigates social inequities in the Hp-associated disease burden within Indigenous communities in the Northwest Territories and Yukon. I examined how deprivation indicators relate to this disease burden, with particular interest in differences in gender, and in households headed by unpartnered women relative to other households. I used data from projects conducted by the Canadian North Helicobacter pylori (CANHelp) Working Group to address community concerns about Hp-associated risks. I estimated the Canadian Deprivation Index (CDI), a validated predictor of health status, from its 3 components: home ownership; education; and food security. CANHelp Working Group researchers ascertained most variables by interviewing participants as they enrolled in community projects during 2007-2017; I ascertained food security in a subset of participants during 2017- 2018, using the Canadian Government Household Food Security Survey, adapted for Arctic communities. As a disease burden variable, I used the prevalence of Hp infection based on urea breath test screening, histopathology, and/or culture. I constructed a multivariable logistic regression model to estimate odds ratios for the effect of selected variables on Hp prevalence while controlling for the effects of other variables, with a random effects parameter for household to account for clustering of Hp infection in households. Hp prevalence was higher among participants at higher deprivation levels, after adjustment for identified confounding variables. The estimated trend in Hp prevalence with increasing deprivation levels was more notable in members of households led by unpartnered women relative to members of other households, and in men relative to women, though there was insufficient statistical precision to conclude that the observed difference in the trend was beyond what would be expected from random variation. Thus, the Hp-associated disease burden seems related to social and gender inequities within Indigenous communities in Arctic 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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".