Hypertension and obesity among HIV patients in a care programme in Nairobi
Bibliographic record
Abstract
Objective: To determine the prevalence of hypertension and obesity among HIV patients enrolled in the Sex Worker Outreach Programme (SWOP), Nairobi, Kenya. Design: A retrospective a study. Setting: SWOP managed by the University of Manitoba, Nairobi team. Subjects: We selected clinic visit records from HIV patients seen between 2011 and 2014, which had valid blood pressure and age entries. Interventions: We analysed data to determine prevalence and correlates of hypertension and obesity in the study population. Associations were tested using chi-square for categorical variables and t-test for continuous variables. Main outcome measures: Hypertension and obesity. Results: Three thousand one hundred ninety seven subjects were included in the study. All were HIV-positive and most (97.8%) were on ART. The mean age was 39.7 years (standard deviation = 8.8) and 72.4% of the subjects were female. The prevalence of hypertension was 7.7% (246/3197) and 31% of the study cases (798/2590) were either overweight or obese. Males were more likely to have hypertension (p < 0.001) while females were more predisposed to obesity (p < 0.001). Conclusion: Hypertension and obesity are important co-morbidities among HIV patients. Preventive and management strategies should be adopted as part of the comprehensive packages on offer at all existing HIV care and ART centres targeting those enrolled for services as well as their relatives and the community at large.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".