Factors associated with cervical cancer screening uptake among Inuit women in Nunavik, Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: The Canadian circumpolar Inuit population has a higher incidence rate of cervical cancer than the general population and the majority of cases occur among underscreened women. The objectives of this study were to determine Pap smear utilization rates and to determine factors associated with time-inappropriate use of cervical cancer screening among a cohort of Inuit women from Nunavik, Quebec, Canada. METHODS: This study utilizes baseline information collected from a cohort formed between January 2002 and December 2007 to study the natural history of HPV among Inuit women aged 21-69 years in Nunavik, Quebec. Cervical cancer screening history and other variables were obtained from a baseline questionnaire and medical chart review. Unconditional logistic regression was used to estimate the odds ratios and 95% confidence intervals for potential predictors of not having a Pap smear within the previous 3 years prior to cohort entry. RESULTS: A total of 403 Inuit women who had a baseline questionnaire and chart review were included. The mean age of the study population was 34.2 years. In the three years prior to study entry, 25% of women did not have a Pap smear. Older age and never giving birth were significant predictors of time-inappropriate Pap smear use. CONCLUSIONS: Our results suggest that older women and women who are not accessing reproductive care have a lower compliance with time-appropriate cervical cancer screening and future research should address potential strategies to increase screening coverage among this group.
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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".