Aerobic fitness, phase angle, and bioelectrical impedance vector analysis in adolescents living with HIV: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: To analyze the association between phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) with aerobic fitness in HIV+ adolescents. METHODS: Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test, PhA, and BIVA by bioelectrical impedance analysis. Multivariable linear regression was performed to test the association between peak oxygen consumption (peak VO2) and PhA. BIVA ellipses were evaluated considering a reference population of Spanish adolescents. RESULTS: Forty-seven HIV-infected adolescents (10-18 years old) were included; 25 (53%) were females. Mean peak VO2 and PhA were 48.9 standard deviation (±) 7.0 ml.kg-1.min-1 and 4.6±1.4 degrees, respectively. Multivariable analysis revealed a significant positive association between peak VO2 and PhA (βstd=0.349; p=0.025). Peak VO2 adjusted for covariates explained 49% of PhA variation. BIVA ellipses indicated lower classifications for body cell mass (BCM) and fatfree mass (FFM) in HIV+ adolescents (vs reference population) (p<0.001). HIV+ females (vs HIV+ males) showed a higher classification for dehydration and a lower classification for BCM (p=0.007). No relevant differences were found between the subgroups based on aerobic fitness (p=0.735). CONCLUSIONS: A significant association exists between peak VO2 and PhA in HIV+ adolescents. Alterations in hydration and lower classifications for BCM and FFM were observed in this population.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".