Prolonged Amenorrhea and Low Hip Bone Mineral Density in Women Living With HIV—A Controlled Cross-sectional Study
Bibliographic record
Abstract
BACKGROUND: Women living with HIV (WLWH) have higher rates of prolonged secondary amenorrhea (no flow for ≥1 year) than HIV-negative women. Both having amenorrhea and being HIV positive are associated with lower areal bone mineral density (BMD). However, their combined BMD effects remain unclear. Therefore, we investigated prolonged amenorrhea and BMD in WLWH and controls. METHODS: This cross-sectional study enrolled WLWH and HIV-negative control women aged 19-68 years of similar backgrounds. We assessed BMD (Hologic; as age- and ethnicity-matched Z-scores) in the Children and women: AntiRetrovirals and Markers of Aging cohort. Participants were stratified by amenorrhea history defined as past/present lack of menses for ≥1 year at age 45 and younger and not because of surgery, breastfeeding, pregnancy, or hormonal contraception. Hip and spine Z-scores by amenorrhea/no amenorrhea used linear models with multivariable analysis for relationships within WLWH. RESULTS: WLWH (N = 129) were similar to controls (N = 129) in age, body mass index, ethnicity, and substance use. Among WLWH, 21% experienced prolonged amenorrhea vs. 9% in controls. WLWH had significantly lower total hip (mean ± SD: -0.4 ± 0.9 vs. 0.3 ± 1.1; P < 0.001) and spine (-0.5 ± 1.3 vs. 0.2 ± 1.3; P = 0.001) Z-scores than controls. Amenorrhea was independently associated with hip (P = 0.01) but not spine (P = 0.94) BMD by multivariable linear regression. WLWH with amenorrhea had lower hip Z-scores (-0.8 ± 0.9) than those without (-0.3 ± 0.8; P = 0.01). They also had higher rates of substance use, smoking, opioid therapy, hepatitis C coinfection, and lower CD4 nadir. CONCLUSIONS: WLWH had higher rates of prolonged amenorrhea and lower BMD than controls. WLWH with amenorrhea experienced lower hip BMD Z-scores than those without. Prolonged amenorrhea is an added osteoporosis risk in WLWH.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".