Neurodevelopment of HIV-exposed uninfected children compared with HIV-unexposed uninfected children during early childhood.
Bibliographic record
Abstract
HIV-exposed uninfected (HEU) children during the preschool and early school ages may be at-risk for neurodevelopmental challenges due to in utero and perinatal exposure to HIV and/or antiretroviral (ARV) medications. HEU children and HIV-unexposed uninfected (HUU) children from the community were recruited and tested at 3 to 4 and 5 to 6 years of age. Demographic information, HIV/ARV exposure and measures of intelligence, visuomotor skills, and adaptive functioning were obtained. Nonparametric tests assessed group differences and multiple regression analyses adjusted for demographic variables. Additional multiple regression analyses were performed within the HEU group to investigate associations between neurodevelopmental measures and variables of HIV/ARV exposure. At 3 to 4 years, 211 HEU children and 31 HUU children were assessed, and 144 HEU children and 58 HUU children were assessed at 5 to 6 years of age. At 3 to 4 years of age, HEU children scored significantly lower on measures of Full-Scale IQ, Performance IQ, visual motor integration, and adaptive functioning. At 5 to 6 years of age, HEU children scored significantly lower on all neurodevelopmental measures. At both ages, children who were female and those with mothers who were employed achieved higher scores on measures intellectual ability and/or adaptive functioning. Within the HEU group, no consistent associations were found between neurodevelopmental measures and HIV/ARV specific variables. HEU children demonstrated significantly lower scores on neurodevelopmental measures than HUU children during early childhood. Gaps in verbal intellectual abilities were identified with age, highlighting the importance of monitoring neurodevelopment in this population over time. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".