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Prevalence of hypertension and associated risk factors among people living with HIV/AIDS in Kigeme, Rwanda 2020

2024· article· en· W4410509281 on OpenAlexaff
Aphrodis Hagabimana, Albert Ndagijimana, Ziad El‐Khatib, Aimable Musafili, Jared Omolo, Ephraïm Nzabonimana, Kelly Kaneza, Francine Birungi

Bibliographic record

VenueJournal of Interventional Epidemiology and Public Health · 2024
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)MedicineEnvironmental healthGerontologyDemographyVirologySociology

Abstract

fetched live from OpenAlex

Introduction: Globally, hypertension is an emerging public health issue among People Living with HIV (PLHIV). Its prevalence and risk factors in Sub-Saharan African countries including Rwanda are inadequately documented. We determined the prevalence of hypertension and associated risk factors among PLHIV, who attended a rural district hospital in Rwanda. Methods: A cross-sectional study was conducted in a rural district hospital located in Southern Rwanda from January to December 2020. The study included 386 PLHIV aged 18 years and above, who were systematically selected. Hypertension was defined as a sustained rise in systolic and or diastolic blood pressure above a certain level or the use of antihypertensive medicines. The factors associated with hypertension among the PLHIV were identified using logistic regression. Results: The mean age was 47�14 years. The prevalence of hypertension among the PLHIV was 29.8% (95%CI: 25.5-34.5). Being on ART for more than 5 years (aOR: 2.0, 95%CI: 1.44-3.87) and overweight (aOR: 2.1, 95%CI: 1.26-3.61) were associated with being hypertensive, whereas being underweight (aOR: 0.1, 95%CI: 0.04-0.49) was protective. Conclusion: The prevalence of hypertension was high among PLHIV who have been followed up in a rural district hospital, in Rwanda. Patients who had been on ART for a longer duration and were overweight were at higher risk of developing hypertension. Being underweight seemed to be protective against hypertension. These findings highlighted the need for strengthening the current HIV surveillance system and integrating hypertension screening and care program into HIV treatment programs to mitigate the burden of hypertension among PLHIV.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.353
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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