Attention and neurodevelopment in young children who are HIV-exposed uninfected
Bibliographic record
Abstract
Children HIV-exposed, uninfected (CHEU) are at risk for compromised developmental outcomes. Attention is important for behavioural, cognitive and academic skills, yet has not been thoroughly investigated compared to children HIV-unexposed uninfected (CHUU). Fifty-five CHEU and 51 CHUU children were recruited at 5.5 years of age. Measures of inattention (IA), hyperactivity/impulsivity (HI) and total scores were collected using the parent-reported ADHD-Rating-Scale-IV. Measures of intelligence, visuomotor skills, academics and adaptive functioning were obtained. Analyses of between-group differences were performed as were correlational and multiple regression models, accounting for maternal education, employment and delivery type. Few children met clinical cut-offs for probable ADHD (3.6% CHEU, 2.0% CHUU), and no group differences in measures of IA, HI and combined scores were found. CHEU scored significantly lower than CHUU on intelligence, visuomotor function, academic skills and aspects of adaptive behaviour, though within age expectations. Lower Full-Scale IQ and Processing Speed were associated with higher IA in CHEU and lower adaptive functioning with higher IA in CHUU. Across both groups, children of unemployed mothers had more HI symptoms. CHEU were not at increased risk for attention difficulties at 5.5 years of age. Maternal employment status highlights the contribution of sociodemographic factors in shaping behaviour and neurodevelopment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".