Interaction between sex and rurality on the prevalence of diabetes in Guyana: a nationally representative study
Bibliographic record
Abstract
INTRODUCTION: Diabetes prevalence has never been measured in Guyana. We conducted a nationally representative cross-sectional study to estimate the prevalence of diabetes and pre-diabetes, and the association between sex and diabetes. RESEARCH DESIGN AND METHODS: and fasting blood glucose testing. We estimated the prevalence of diabetes and pre-diabetes and measured the association between sex and diabetes prevalence using logistic regression to compute adjusted ORs. RESULTS: We included 805 adults (511 women, 294 men, mean age 41.8 (SD 14.4) years). The national prevalence of diabetes was 18.1% (95% CI: 15.4% to 20.8%), with higher rates among women (21.4%, 95% CI: 18.0% to 24.7%) than men (15.1%, 95% CI: 10.9% to 19.3%). Sex-specific diabetes prevalence varied significantly across urban and rural areas (p=0.002 for interaction). In rural areas, diabetes was twice as common among women (24.1%, 95% CI: 20.1% to 28.2%) compared with men (11.8%, 95% CI: 7.7% to 15.9%). After adjusting for prespecified covariates, rural women had double the odds of diabetes compared with rural men (OR 2.1, 95% CI: 1.20 to 3.82). This prevalence pattern was reversed in urban areas (diabetes prevalence, women: 13.9%, 95% CI: 8.7% to 19.0%; men: 22.0%, 95% CI: 12.9% to 31.1%), with urban women having half the odds of diabetes compared with urban men (OR 0.4, 95% CI: 0.20 to 0.99). We estimated that nearly one-third of women and over a quarter of men had diabetes or pre-diabetes. CONCLUSIONS: The burden of diabetes in Guyana is considerably higher than previously estimated, with an unexpectedly high prevalence among women-particularly in rural areas.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".