Dyslipidemia and Associated Factors among People Living with HIV on Dolutegravir-based Antiretroviral therapy in Central Uganda
Description
This dataset accompanies a cross-sectional study that assessed the prevalence of and factors associated with dyslipidemia among adults living with HIV on dolutegravir (DTG)-based antiretroviral therapy (ART) in central Uganda. The research was guided by the hypothesis that DTG-based ART is associated with a high burden of dyslipidemia, and that specific demographic, clinical, and anthropometric characteristics may influence this risk. The data were collected from 281 systematically sampled adults who had been on DTG-based ART for at least six months, attending care at Kira Health Centre IV in Wakiso District. The dataset includes information obtained through structured interviewer-administered questionnaires, medical record reviews, anthropometric measurements, and laboratory testing. Variables captured include age, sex, education, ART duration, lifestyle behaviors, comorbidities, viral load, body mass index, waist and hip circumference, and fasting lipid profiles including total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides. Data were collected by trained research assistants following standardized procedures, and all laboratory analyses were conducted in certified clinical laboratories. The study found that 44.1% of participants had dyslipidemia, with low HDL cholesterol being the most common abnormality, affecting 39.9% of the sample. Elevated total cholesterol and LDL cholesterol were less common, affecting 5.7% and 5.0% of participants, respectively. Multivariable logistic regression analysis was used to identify associated factors, and waist circumference demonstrated a moderate ability to predict dyslipidemia with an area under the ROC curve of 0.577 (95% CI: 0.511–0.644). This dataset provides valuable insight into the metabolic complications associated with modern HIV treatment regimens in sub-Saharan Africa. It highlights the need for routine lipid monitoring and risk assessment among patients on DTG-based ART. The data can be interpreted to explore associations between ART and cardiovascular risk, assess the predictive value of obesity indices, and inform guidelines on the management of non-communicable disease comorbidities in HIV care settings. Researchers, clinicians, and public health practitioners may find this dataset useful for secondary analyses, modeling, or policy development. Ethical approval was obtained, and all participants provided informed consent. The data have been anonymized and prepared for safe public sharing.
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Steps to reproduce
The data were collected as part of a cross-sectional study conducted between [insert study period if applicable] at Kira Health Centre IV in Wakiso District, Central Uganda. We systematically sampled 281 adults aged 18 years and above who had been on dolutegravir-based antiretroviral therapy for at least six months. Data collection involved multiple methods: interviewer-administered structured questionnaires were used to obtain sociodemographic and lifestyle information; clinical data including ART history, viral load, and comorbidities were extracted from patients’ medical records. Anthropometric measurements weight, height, waist circumference, and hip circumference were taken using calibrated electronic weighing scales, stadiometers, and non-elastic measuring tapes following WHO standard protocols. Body mass index (BMI) and waist-hip ratio were computed using standard formulas. Venous blood samples were collected after an overnight fast and analyzed at a certified clinical laboratory to determine lipid profiles, including total cholesterol, HDL, LDL, and triglycerides, using enzymatic colorimetric assays with commercial reagents and automated analyzers . Data were entered and cleaned using EpiData software and analyzed using Stata version 15. Logistic regression was used to assess associations between independent variables and dyslipidemia, while receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive ability of obesity indices. All procedures followed approved ethical protocols, and research assistants were trained in data collection and biospecimen handling to ensure reproducibility and data quality.
Institutions
- Mbarara University of Science and Technology Faculty of Medicine