A Scoping Review on Nutrition Challenges Among People Living With HIV/AIDS in Sub-Saharan Africa
Bibliographic record
Abstract
The connection between under-nutrition and HIV is bidirectional. It affects the quality of life, as well as the survival of affected people. While this is the case, there are various nutritional challenges, which are faced by people living with HIV/AIDS (PLWH), and which hamper the fight against the scourge. This study therefore sought to map literature on the nutritional challenges among PLWH in sub-Saharan Africa and guide future research in nutritional management to improve health outcomes for PLWH. A systematic search was done from the following sources: PubMed, the Cochrane Database of Systematic Reviews, EBSCOhost (CINAHL and Academic Search Complete), Web of Science, and Google Scholar. In addition, information was obtained both from unpublished studies, which included book chapters, reference lists, theses and conference papers. Eleven (11) studies met the inclusion criteria, and were used for data extraction. The studies were based in different countries, which form part of the Sub Saharan Africa. One of the studies was carried out in Senegal, two studies were carried out in various West African countries, one study was carried out in Burkina Faso; one study was carried out in Ethiopia and one of the studies was carried out in different countries forming part of the Sub Saharan Africa. Two of the studies were carried out in Zambia, one in Zimbabwe, one in Cameroon, and one in Ghana. Most of the studies established the main nutrition challenge facing PLWH to be food insecurity. Based on the findings of the study, it can be concluded that some of the main nutrition challenges include food insecurity, lack of nutritional support among PLWH, late detection of HIV, huge cost of treating severe acute malnutrition, and lack of feeding supplementations.
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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 | 0.010 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.018 | 0.021 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".