Changes in Body Mass Index Among Antiretroviral Therapy Naïve People Living with HIV in Southeastern Nigeria
Bibliographic record
Abstract
The proportion of people living with HIV (PLHIV) who are overweight or obese is rising, leading to a double epidemic of HIV and obesity. The purpose of this retrospective longitudinal study was to examine changes in body mass index (BMI) among PLHIV who were new to antiretroviral therapy (ART) in two states in Southeastern Nigeria. The BMI at baseline and 12 months were compared and the difference in proportions in each BMI category was tested. The association between the BMI at 12 months and the demographic and/or clinical variables was examined using multiway analysis of covariance. The study included 2,146 participants. After 12 months on ART, the number of participants who were obese increased by 135% (81 to 190), while those who were underweight decreased by 130% (306 to 133). Overall, the BMI increased in 30.2% of the participants. Further analysis showed that age (p=.009; η2=.005), baseline BMI (p<.001; η2=.435), baseline regimen (p<.001; η2=.031), HIV stage (p=.039; η2=.007) and CD4 category (p<.001; η2=.012) were all associated with increased BMI after 12 months of ART. Healthcare providers should be mindful of the likelihood of excess weight gain among PLHIV who are on ART and develop a plan to proactively address it.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".